physical activity, biomarkers, and disease outcomes in ... · mortality (cancer-specific and...
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Published by Oxford University Press 2012.
JNCI | Reviews 815jnci.oxfordjournals.orgjnci.oxfordjournals.org JNCI | Review 1
DOI: 10.1093/jnci/djs207 Published by Oxford University Press 2012.
An estimated 13.8 million cancer survivors were living in the United States as of 2010, and this number is projected to grow to 18.1 mil-lion by 2020 ( 1 ). With advances in cancer screening and treatment, cancer survivors are living longer and are seeking information about how lifestyle factors, such as physical activity, may influence their prognosis ( 2 ). Evidence of the influence of physical activity on health-related fitness, quality of life, and other patient-reported out-comes among cancer survivors during and after treatment has been reviewed previously ( 3 – 12 ). In 2010, the American College of Sports Medicine (ACSM) reviewed the research on the safety and efficacy of exercise training during and after adjuvant cancer therapy ( 13 ). That review focused on randomized controlled trial (RCT) evidence, where available, which was extensive for breast and prostate cancers and more limited for colon, hematological, and gynecological can-cers, and also included a limited number of prospective cohort studies. Overall, the RCT evidence indicates that exercise training is
safe during and after cancer treatment, although the ACSM review did identify some areas of concern for survivor safety with particular types and intensities of exercise for certain survivor groups. The ACSM review found that exercise training resulted in improvements in physical functioning, quality of life, and cancer-related fatigue for a number of cancer survivor groups ( 13 ). In 2008, the US Department of Health and Human Services published physical activity guidelines based primarily on a review of research on physical activity and can-cer prevention; that publication included a short review on cancer survivorship based on three studies published before 2007 that focused on late and long-term effects of physical activity ( 4 ). Since the publication of these two reviews, there have been many more studies examining the effects of physical activity in cancer survivors, warranting a more detailed assessment of this evidence.
In addition to the observational research on the effects of phys-ical activity in cancer survivors, several RCTs of exercise interven-
REVIEW
Physical Activity, Biomarkers, and Disease Outcomes in Cancer Survivors: A Systematic Review Rachel Ballard-Barbash , Christine M. Friedenreich , Kerry S. Courneya , Sameer M. Siddiqi , Anne McTiernan , Catherine M. Alfano
Manuscript received October 13 , 2011 ; revised March 1 , 2012 ; accepted March 9 , 2012 .
Correspondence to: Rachel Ballard-Barbash, MD, Applied Research Program, Department of Health and Human Services, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, EPN 4005, 6130 Executive Blvd, MSC 7344, Bethesda, MD 20892-7344 (e-mail: [email protected] ) .
Background Cancer survivors often seek information about how lifestyle factors, such as physical activity, may influence their prognosis. We systematically reviewed studies that examined relationships between physical activity and mortality (cancer-specific and all-cause) and/or cancer biomarkers.
Methods We identified 45 articles published from January 1950 to August 2011 through MEDLINE database searches that were related to physical activity, cancer survival, and biomarkers potentially relevant to cancer survival. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement to guide this review. Study characteristics, mortality outcomes, and biomarker-relevant and subgroup results were abstracted for each article that met the inclusion criteria (ie, research articles that included participants with a cancer diagnosis, mortality outcomes, and an assessment of physical activity).
Results There was consistent evidence from 27 observational studies that physical activity is associated with reduced all-cause, breast cancer – specific, and colon cancer – specific mortality. There is currently insufficient evidence regarding the association between physical activity and mortality for survivors of other cancers. Randomized controlled trials of exercise that included biomarker endpoints suggest that exercise may result in beneficial changes in the circulating level of insulin, insulin-related pathways, inflammation, and, possibly, immunity; however, the evidence is still preliminary.
Conclusions Future research directions identified include the need for more observational studies on additional types of cancer with larger sample sizes; the need to examine whether the association between physical activity and mortality varies by tumor, clinical, or risk factor characteristics; and the need for research on the biological mechanisms involved in the association between physical activity and survival after a cancer diagnosis. Future randomized controlled trials of exercise with biomarker and cancer-specific disease endpoints, such as recur-rence, new primary cancers, and cancer-specific mortality in cancer survivors, are warranted.
J Natl Cancer Inst 2012;104: 1 – 26
doI: 10.1093/jnci/djs207Advance Access publication on May 8, 2012.
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816 Reviews | JNCI Vol. 104, Issue 11 | June 6, 20122 Review | JNCI Vol. 104, Issue 11 | June 6, 2012
tions and mortality outcomes in cancer survivors have begun or been published. In 2009, the fi rst RCT to investigate the effect of a specifi c physical activity intervention on overall and disease-free survival among colon cancer survivors was launched in Canada and Australia ( 14 ). In addition, several smaller RCTs have examined the effect of physical activity interventions on a number of biomarkers and mechanistic pathways that may be relevant to cancer prognosis. The purpose of this review was to systematically examine results of in two areas of research in-volving cancer survivors: physical activity and cancer-specifi c and all-cause mortality, and physical activity and relevant cancer biomarkers. This systematic review differs from previous reviews, which were broad or focused on health-related fi tness outcomes and/or patient-reported outcomes, such as quality of life, fatigue, and cancer-related symptoms ( 4 , 5 , 8 – 11 , 13 ), exam-ined only one cancer ( 6 , 9 , 12 ), addressed cancer prevention in addition to cancer survival ( 4 , 11 ), or included combined dietary and physical activity interventions ( 7 ). We also summarize the
limited number of RCTs that assessed effects of physical activity interventions on biomarkers in cancer patients or survivors to evaluate the extent of evidence on biological mechanisms that may underlie associations between physical activity and cancer prognosis. Finally, we propose priorities for future research in this fi eld.
Methods Search Strategy We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement guidelines ( 15 ) to iden-tify, screen, and describe the protocols used in this systematic review. We conducted two unique searches in January 2011 of titles and abstracts in the MEDLINE database that were published since January 1950. Additional studies suggested by the authors of this review and those listed as references in related reviews were also included. We reran these searches in August 2011 to ensure that we had captured any additional articles that had been published in the interim. Both search strategies were limited to English language articles that described studies in humans. The first set of search terms, which describe physical activity and cancer survival, were cross-searched using the following algorithm: (((((((((((((( “ physical activity ” [Title]) OR “ weight training ” [Title]) OR “ resistance training ” [Title]) OR “ physically active ” [Title]) OR exercise[Title]) OR fitness[Title]) OR aerobic[Title]) OR “ motor activity ” [Title])) AND ((((cancer[Title/Abstract]) OR neoplasm[Title/Abstract]) OR tumor[Title/Abstract]) OR carcinoma[Title/Abstract])) AND (((((((((patient[Title/Abstract]) OR survivor[Title/Abstract]) OR survival[Title/Abstract]) OR survivorship[Title/Abstract]) OR prognosis[Title/Abstract]) OR recurrence[Title/Abstract]) OR progression[Title/Abstract]) OR disease-free[Title/Abstract]) OR mortality[Title/Abstract]) AND (Humans[Mesh] AND English[lang]))) NOT review[Publication Type]) NOT comment[Publication Type]) NOT editorial[Publication Type].
The second set of search terms, which describe physical ac-tivity and biomarkers that are potentially relevant to cancer sur-vival, included the above terms and the following cancer-relevant biomarkers: estrogen, androgen, sex hormone, leptin, adipokines, tumor necrosis factor, interleukin, C-reactive protein, prostate- specifi c antigen, insulinlike growth factor, infl ammatory markers, insulin, glucose, hormone, oxidative stress, DNA damage, and prostaglandin. These biomarkers were chosen because previous studies have shown that they may be affected by physical activity in persons without cancer ( 4 , 16 ) and because they are involved in hypothesized biological mechanisms that may be associated with cancer prognosis ( 17 – 19 ). These terms were cross-searched using the following algorithm: ((((((((((( “ physical activity ” [Title/Abstract]) OR “ weight training ” [Title/Abstract]) OR “ resistance training ” [Title/Abstract]) OR “ physically active ” [Title/Abstract]) OR exercise[Title/Abstract]) OR fi tness[Title/Abstract]) OR aerobic[Title/Abstract]) OR “ motor activity ” [Title/Abstract])) AND (((((((((((((((((((((((biomarker[Title/Abstract]) OR marker[Title/Abstract]) OR estrogen[Title/Abstract]) OR androgen[Title/Abstract]) OR “ sex hormone ” [Title/Abstract]) OR leptin[Title/Abstract]) OR “ insulin resistance ” [Title/Abstract]) OR adipokine[Title/Abstract]) OR TNF[Title/Abstract]) OR interleukin[Title/
CONTEXT AND CAVEATS
Prior knowledge Numerous observational studies and randomized controlled trials have examined the effects of physical activity on prognosis among cancer survivors.
Study design A systematic review of 45 articles that examined relationships between physical activity and mortality and/or cancer biomarkers among cancer survivors, including 27 observational studies that reported associations between physical activity and cancer-specific outcomes or all-cause mortality and 13 reports from 11 unique randomized controlled trials that addressed the influence of phys-ical activity on cancer biomarkers. Study characteristics, mortality outcomes, and biomarker-relevant and subgroup results were abstracted for each article.
Contribution There was consistent evidence from the observational studies that physical activity is associated with reduced all-cause, breast can-cer – specific, and colon cancer – specific mortality. Randomized controlled trials of exercise that included biomarker endpoints sug-gest that exercise may result in beneficial changes in the circu-lating insulin level, insulin-related pathways, inflammation, and, possibly, immunity.
Implication Physical activity may improve survival after cancer, but additional research is needed before clear conclusions can be reached on the effects of physical activity on disease outcomes among many groups of cancer survivors.
Limitations Recently published potentially relevant studies in this rapidly evolving field may not have been included in this review. Furthermore, many systematic reviews in other fields use meta-analysis to estimate the pooled effect across published research results. Heterogeneity with regard to the assessment of physical activity across the observational studies and the exercise interventions in the RCTs precluded an interpretable meta-analysis.
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JNCI | Reviews 817jnci.oxfordjournals.orgjnci.oxfordjournals.org JNCI | Review 3
Abstract]) OR “ c-reactive ” [Title/Abstract]) OR PSA[Title/Abstract]) OR IGF[Title/Abstract]) OR “ infl ammatory marker ” [Title/Abstract]) OR infl ammation[Title/Abstract]) OR insulin[Title/Abstract]) OR glucose[Title/Abstract]) OR hyperglycemia[Title/Abstract]) OR hormone[Title/Abstract]) OR “ oxidative stress ” [Title/Abstract]) OR “ dna damage ” [Title/Abstract]) OR prostaglandin[Title/Abstract]) OR “ immune function ” [Title/Abstract])) AND (((((((((patient[Title/Abstract]) OR survivor[Title/Abstract]) OR survival[Title/Abstract]) OR survivorship[Title/Abstract]) OR prognosis[Title/Abstract]) OR recurrence[Title/Abstract]) OR progression[Title/Abstract]) OR “ disease-free ” [Title/Abstract]) OR mortality[Title/Abstract])) AND ((((cancer[Title/Abstract]) OR tumor[Title/Abstract]) OR carcinoma[Title/Abstract]) OR neoplasm[Title/Abstract]) NOT review[Publication Type] NOT comment[Publication Type] NOT editorial[Publication Type] AND (Humans[Mesh] AND English[lang]).
For the purpose of this review, cancer survivor was defi ned according to the National Cancer Institute Offi ce of Cancer Survivorship as a person who is diagnosed with cancer from the onset of their diagnosis through the balance of his or her life ( 20 ).
Selection Criteria The titles and abstracts of the results of both search strategies were screened by two of the authors (R . B .- B arbash and S . M . S iddiqi ) to determine their eligibility. Studies were eligible for inclusion in this review if they were research articles published in peer-reviewed journals and described results from an RCT or an obser-vational study that investigated physical activity and cancer-specific outcomes, recurrence, new primary cancer or cancer-specific deaths, or deaths from any cause or biomarkers in cancer survivors. Studies were required to include an assessment of physical activity. Articles that reported associations between physical activity and biomarkers in cancer survivors were also abstracted for review. Studies that focused solely on quality-of-life outcomes were excluded, as were studies that were classified as commentaries, reviews, or editorials.
For inclusion in this review, observational studies were required to be based on follow-up of cancer survivors and contain data on cancer-specifi c or all-cause mortality. Studies that examined can-cer mortality in samples that were not limited to cancer survivors and instead focused on healthy individuals or patients without cancer were excluded. We included all studies that met the inclu-sion criteria regardless of the sample size except for one study ( 21 ) that was an early report of the association between physical activity and breast cancer survival and was followed by a later analysis with longer follow-up and more case subjects ( 22 ), which was included in this review.
For inclusion in this review, RCTs of physical activity interven-tions were required to include cancer survivors as participants and report results on biomarkers. Articles that reported only pilot data (rather than outcomes of a full-scale study) or descriptions of the design of a RCT were excluded. In addition, RCTs were not included if the intervention was physical activity combined with another intervention. Also excluded were trials that were not randomized, did not include a control group, or that tested acute biomarker effects from a single bout of exercise.
Figure 1 . Preferred Reporting Items for Systematic Reviews and Meta-Analyses ( PRISMA ) study fl ow diagram. RCT = randomized controlled trial ; Search A = physical activity and cancer survival; Search B = phys-ical activity and biomarkers potentially relevant to cancer survival.
We included RCTs in which physical activity was defi ned as aerobic, endurance, or strength training exercise performed for recreational, household, commuting, or work-related purposes. We excluded RCTs that examined other types of conditioning or stretching exercise, such as yoga, Pilates, or Tai Chi, and nonpur-posive movement. These restrictions were not applied to physical activity reported in observational studies.
Data Synthesis We abstracted relevant study characteristics, including disease outcome and biomarker-relevant results, from each study into tables, each of which was independently reviewed and verified by at least two authors ( Table 1 [R . B .- B arbash and C . M . F riedenreich ]; Table 2 [R . B .- B arbash , C . M . F riedenreich , and K . S . C ourneya ]; Table 3 [R . B .- B arbash and A . M cTiernan ]; Table 4 [K . S . C ourneya and C . M . A lfano ]). For observational studies, study characteristics included study design, sample size and description, length of follow-up, type of disease, disease stage, treatment, type of physical activity assessment, and the timing of that assessment relative to diagnosis. For RCTs, study characteristics included sample size and description, description of the intervention and control arms, type of physical activity assessment and the timing of that assessment relative to diagno-sis, and the rates of attrition and adherence. We evaluated the studies by considering their study design , data collection and analytic methods , and adjustment for confounding factors, such as cancer stage, tumor subtypes, comorbidity, other clinical char-acteristics, and related health and lifestyle characteristics, in-cluding body mass index (BMI) and dietary intake. We summarized the results for specific population subgroups for studies that reported them. at N
IH L
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818 Reviews | JNCI Vol. 104, Issue 11 | June 6, 20124 Review | JNCI Vol. 104, Issue 11 | June 6, 2012
Tab
le 1
. Ob
serv
atio
nal
stu
die
s o
f p
hys
ical
act
ivit
y an
d d
isea
se a
nd
mo
rtal
ity
even
ts in
bre
ast
can
cer
surv
ivo
rs *
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
s
Stu
dy
des
ign
, fo
llow
-up
, an
d
ou
tco
me
asse
ssm
ent
Dis
ease
sta
ge
and
tre
atm
ent
dat
a
Ph
ysic
al a
ctiv
ity
mea
sure
an
d
tim
ing
Ove
rall
resu
lts
Su
bg
rou
p r
esu
lts
Stu
dies
tha
t as
sess
ed p
hysi
cal a
ctiv
ity u
nder
take
n be
fore
dia
gnos
is
Roh
an ( 2
3 ), 1
995,
Aus
tral
ia45
1 w
omen
with
bre
ast
ca
ncer
, 112
bre
ast
ca
ncer
– spe
cific
dea
ths,
No.
of
deat
hs f
rom
any
caus
e N
R. M
ean
age
55
y; R
ace
or e
thni
city
NR
; dia
gnos
is 1
982 –
1984
;
pre-
and
pos
tmen
opau
sal;
in
terv
iew
ed a
t va
riabl
e
times
aft
er d
iagn
osis
.
Follo
w-u
p of
a p
opul
atio
n-
base
d in
cide
nt c
ance
r
case
– con
trol
stu
dy;
m
edia
n fo
llow
-up
5.5
y;
vi
tal s
tatu
s by
rec
ord
lin
kage
Tum
or d
iam
eter
,
ER
and
PR
stat
us;
no
tr
eatm
ent
data
Inte
rvie
wer
-adm
inis
tere
d
ques
tionn
aire
ass
esse
d
leis
ure-
time
phys
ical
activ
ity, i
n kc
al/w
k,
an
d by
inte
nsity
dur
ing
th
e su
mm
er a
nd
w
inte
r se
ason
s
durin
g th
e pr
evio
us
ye
ar.
HR
of
brea
st c
ance
r – sp
ecifi
c
deat
h fo
r ph
ysic
al a
ctiv
ity o
f
>40
00 v
s 0
kcal
/wk
= 0
.98
(9
5% C
I = 0
.50
to 1
.94)
;
P tre
nd =
.803
. Adj
uste
d fo
r
stag
e an
d m
ultip
le b
reas
t
canc
er r
isk
fact
ors,
incl
udin
g
BM
I and
ene
rgy
inta
ke, b
ut
no
t tr
eatm
ent.
No
stat
istic
ally
sig
nific
ant
as
soci
atio
n be
twee
n
tota
l phy
sica
l act
ivity
and
risk
of d
eath
fro
m
br
east
can
cer
over
all o
r
by m
enop
ausa
l sta
tus.
Eng
er ( 2
4 ), 2
004,
Uni
ted
Sta
tes
717
wom
en w
ith b
reas
t
canc
er, 2
51 b
reas
t
canc
er – s
peci
fic d
eath
s,
26
3 de
aths
fro
m a
ny
ca
use.
Age
ran
ge
21
– 40
y; a
ll su
bjec
ts
w
hite
or
His
pani
c;
di
agno
sis
1983
– 198
9;
pr
emen
opau
sal;
in
terv
iew
ed 1
2 m
o
befo
re d
iagn
osis
.
Follo
w-u
p of
a p
opul
atio
n-
base
d in
cide
nt c
ance
r
case
– con
trol
stu
dy;
m
edia
n fo
llow
-up
10
.4 y
; vita
l sta
tus
an
d ca
use
of d
eath
by r
ecor
d lin
kage
.
Tum
or s
tage
,
num
ber
of
ly
mph
nod
es
in
volv
ed; n
o
trea
tmen
t da
ta
Inte
rvie
wer
-adm
inis
tere
d
ques
tionn
aire
ass
esse
d
the
freq
uenc
y an
d
dura
tion
of r
egul
ar
w
eekl
y le
isur
e-tim
e
phys
ical
act
ivity
, in
h/
wk,
dur
ing
the
w
oman
’ s li
fetim
e.
HR
of
brea
st c
ance
r – sp
ecifi
c
deat
h fo
r ph
ysic
al a
ctiv
ity o
f
≥ 5 v
s 0
h/w
k =
0.7
8
(95%
CI =
0.4
5 to
1.3
4);
P
trend
= .3
1; A
djus
ted
for
st
age
and
BM
I but
not
trea
tmen
t.
Non
e no
ted
Abr
aham
son
( 25 )
,
2006
, Uni
ted
S
tate
s
1264
wom
en w
ith b
reas
t
canc
er, 2
46 b
reas
t
canc
er – s
peci
fic d
eath
s,
290
dea
ths
from
any
caus
e. A
ge r
ange
20 – 5
4 y;
25%
non
whi
te;
di
agno
sis
1990
– 199
2;
pr
e- a
nd p
ostm
enop
ausa
l;
inte
rvie
wed
med
ian
4.
2 m
o af
ter
diag
nosi
s.
Follo
w-u
p of
a p
opul
atio
n-
base
d pr
ospe
ctiv
e
inci
dent
can
cer
coho
rt
st
udy;
med
ian
fo
llow
-up
8.5
y
(ran
ge =
0.2
5 – 9.
8 y)
;
vita
l sta
tus
and
caus
e
of d
eath
by
reco
rd
lin
kage
.
Tum
or s
tage
, ER
,
and
PR
sta
tus;
trea
tmen
t
(sur
gery
, CT,
RT,
HT)
Inte
rvie
wer
-adm
inis
tere
d
ques
tionn
aire
ass
esse
d
freq
uenc
y an
d
inte
nsity
of
wee
kly
ph
ysic
al a
ctiv
ity, i
n
rela
tive
units
/wk,
durin
g th
e ye
ar b
efor
e
diag
nosi
s, a
t ag
e
12 – 1
3 y,
and
at
ag
e 20
y
HR
of
deat
h fr
om a
ny c
ause
for
phys
ical
act
ivity
dur
ing
ye
ar b
efor
e di
agno
sis
of
35
.1 – 9
8.0
vs 1
.6 – 3
.4
un
its/w
k =
0.7
8
(95%
CI =
0.5
6 to
1.0
8);
P
trend
= .1
0; A
djus
ted
for
st
age
but
not
trea
tmen
t
or B
MI.
Wom
en w
ith B
MI
>
25 k
g/m
2 : H
R o
f de
ath
fr
om a
ny c
ause
for
phys
ical
act
ivity
dur
ing
ye
ar b
efor
e di
agno
sis
35
.1 – 9
8.0
vs 1
.6 – 3
.4
un
its/w
k =
0.7
0 (9
5%
C
I = 0
.49
to 0
.99)
,
P =
.05
Dal
Mas
o ( 2
6 ),
20
08, I
taly
1453
wom
en w
ith b
reas
t
canc
er, 3
98 b
reas
t
canc
er – s
peci
fic d
eath
s,
50
3 de
aths
fro
m a
ny
ca
use.
Med
ian
age
55 y
;
race
or
ethn
icity
NR
;
diag
nosi
s 19
91 – 1
994;
pre-
and
pos
tmen
opau
sal;
in
terv
iew
ed ≥
1 y
befo
re
di
agno
sis
Follo
w-u
p of
a m
ultic
ente
r
inci
dent
can
cer
case
–
cont
rol s
tudy
; med
ian
fo
llow
-up
12.6
y; v
ital
st
atus
and
cau
se o
f
deat
h by
rec
ord
lin
kage
.
Tum
or s
ize
and
st
age,
lym
ph
no
de s
tatu
s,
E
R a
nd P
R
st
atus
; no
tr
eatm
ent
data
Inte
rvie
wer
-adm
inis
tere
d
ques
tionn
aire
ass
esse
d
wee
kly
leis
ure-
time
an
d da
ily o
ccup
atio
nal
ph
ysic
al a
ctiv
ity, i
n
h/w
k, a
t ag
e 15
– 19
y,
at
age
30 –
39 y
, and
at a
ge 5
0 – 59
y
HR
of
deat
h fr
om a
ny c
ause
for
leis
ure-
time
phys
ical
activ
ity b
efor
e di
agno
sis
of
>
2 h/
wk
vs <
2 h/
wk
= 0
.82
(9
5% C
I = 0
.67
to 1
.01)
;
HR
of
deat
h fr
om b
reas
t
canc
er f
or le
isur
e-tim
e ph
ysic
al
ac
tivity
bef
ore
diag
nosi
s of
>2
h/w
k vs
<2
h/w
k =
0.8
5
(95%
CI =
0.6
8 to
1.0
7);
P
val
ues
not
prov
ided
.
Adj
uste
d fo
r st
age
but
not
B
MI o
r tr
eatm
ent.
Non
e no
ted
(Tab
le c
ontin
ues)
at NIH
Library on A
pril 29, 2013http://jnci.oxfordjournals.org/
Dow
nloaded from
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JNCI | Reviews 819jnci.oxfordjournals.orgjnci.oxfordjournals.org JNCI | Review 5
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
s
Stu
dy
des
ign
, fo
llow
-up
, an
d
ou
tco
me
asse
ssm
ent
Dis
ease
sta
ge
and
tre
atm
ent
dat
a
Ph
ysic
al a
ctiv
ity
mea
sure
an
d
tim
ing
Ove
rall
resu
lts
Su
bg
rou
p r
esu
lts
Frie
denr
eich
( 27 )
,
2009
, Can
ada
1231
wom
en w
ith b
reas
t
canc
er, 2
23 b
reas
t
canc
er – s
peci
fic d
eath
s,
34
1 de
aths
fro
m a
ny
ca
use.
Mea
n ag
e 56
y;
pr
edom
inan
tly w
hite
;
diag
nosi
s 19
95 – 1
997;
pre-
and
pos
tmen
opau
sal;
in
terv
iew
ed m
edia
n 3.
4
mo
afte
r di
agno
sis
and
lim
ited
to s
tage
I – III
at
di
agno
sis
Follo
w-u
p of
a p
opul
atio
n-
base
d in
cide
nt c
ance
r
case
– con
trol
stu
dy;
m
ean
follo
w-u
p
8.3
y; v
ital s
tatu
s by
reco
rd li
nkag
e.
Tum
or s
tage
, ER
and
PR
sta
tus;
trea
tmen
t
(sur
gery
,
RT,
HT)
Inte
rvie
wer
-adm
inis
tere
d
ques
tionn
aire
ass
esse
d
inte
nsity
, dur
atio
n, a
nd
fr
eque
ncy
of r
epea
ted
oc
cupa
tiona
l, le
isur
e-
time,
and
hou
seho
ld
ph
ysic
al a
ctiv
ity, i
n
ME
T-h/
wk,
dur
ing
th
e en
tire
lifet
ime
un
til d
iagn
osis
HR
of
deat
h fr
om a
ny c
ause
for
tota
l phy
sica
l act
ivity
of
>15
1 vs
<95
ME
T-h/
wk/
y =
0.9
4
(95%
CI =
0.6
9 to
1.3
0);
P
trend
= .3
8; H
R o
f de
ath
from
brea
st c
ance
r fo
r to
tal p
hysi
cal
ac
tivity
of
>15
1 vs
<95
ME
T-h/
wk/
y =
0.7
9
(95%
CI =
0.5
3 to
1.1
7);
P
trend
= .7
8; A
djus
ted
for
stag
e,
tr
eatm
ent,
and
mul
tiple
bre
ast
ca
ncer
risk
fact
ors,
incl
udin
g B
MI.
Res
ults
for
leis
ure-
time
ph
ysic
al a
ctiv
ity
su
gges
ted
stro
nger
effe
cts
for
all-c
ause
and
brea
st c
ance
r – sp
ecifi
c
mor
talit
y an
d re
duce
d
risks
of
recu
rren
ce a
nd
ne
w p
rimar
y br
east
canc
ers.
Wes
t-W
right
( 28 )
,
2009
, Uni
ted
St
ates
; Cal
iforn
ia
Te
ache
rs’ S
tudy
3539
wom
en w
ith b
reas
t
canc
er, 2
21 b
reas
t
canc
er – s
peci
fic d
eath
s,
46
0 de
aths
fro
m a
ny
ca
use.
Age
ran
ge
26
– 94
y; R
ace
or
et
hnic
ity N
R; d
iagn
osis
1995
– 200
4; p
re- a
nd
po
stm
enop
ausa
l;
inte
rvie
wed
at
varia
ble
tim
es b
efor
e di
agno
sis
Follo
w-u
p of
a
pr
ospe
ctiv
e in
cide
nt
ca
ncer
coh
ort
stud
y;
m
edia
n fo
llow
-up
for
su
rviv
ors
64 m
o;
ca
use
of d
eath
by
re
cord
link
age.
Tum
or s
tage
,
ER
and
PR
stat
us; n
o
trea
tmen
t da
ta
Sel
f-ad
min
iste
red
qu
estio
nnai
re
as
sess
ed in
tens
ity,
fr
eque
ncy,
and
dura
tion
of p
hysi
cal
ac
tivity
, in
h/w
k/y,
at s
ix a
ge in
terv
als
fr
om h
igh
scho
ol
th
roug
h ag
e 54
y
(lo
ng-t
erm
) and
3 y
befo
re e
nrol
lmen
t
(rec
ent)
RR
of
deat
h fr
om a
ny c
ause
for
long
-ter
m p
hysi
cal a
ctiv
ity o
f
>3
vs <
0.5
h/w
k/y
= 0
.73
(9
5% C
I = 0
.55
to 0
.96)
;
P tre
nd =
.03;
RR
of
deat
h fr
om
br
east
can
cer
for
long
-ter
m
ph
ysic
al a
ctiv
ity o
f >
3 vs
<0.
5 h/
wk/
y =
0.5
3 (9
5%
C
I = 0
.35
to 0
.80)
; P tre
nd =
.003
;
Adj
uste
d fo
r st
age,
com
orbi
dity
,
and
mul
tiple
bre
ast
canc
er
ris
k fa
ctor
s, in
clud
ing
BM
I
and
calo
ric in
take
.
Sim
ilar
effe
cts
by E
R
st
atus
, str
onge
r ef
fect
s
in lo
caliz
ed s
tage
dise
ase,
and
red
uced
risk
only
in w
omen
with
BM
I ≥ 25
kg/
m 2 .
Rec
ent
ph
ysic
al a
ctiv
ity w
as
no
t st
rong
ly a
ssoc
iate
d
with
the
ris
k of
dea
th
fr
om b
reas
t ca
ncer
.
Em
aus
( 29 )
,
2010
, Nor
way
;
Nor
weg
ian
C
ount
ies
Stu
dy
1364
wom
en w
ith b
reas
t
canc
er, 3
55 b
reas
t
canc
er – s
peci
fic d
eath
s,
42
9 de
aths
fro
m a
ny
ca
use.
Mea
n ag
e 57
.5 y
;
Rac
e or
eth
nici
ty N
R;
di
agno
sis
1974
– 200
5;
pr
e- a
nd p
ostm
enop
ausa
l;
inte
rvie
wed
mea
n
11.5
y b
efor
e di
agno
sis
Pop
ulat
ion-
base
d
pros
pect
ive
inci
dent
canc
er c
ohor
t st
udy;
mea
n fo
llow
-up
8.
2 y;
can
cer
di
agno
sis
and
caus
e
of d
eath
by
reco
rd
lin
kage
.
Tum
or s
tage
;
no t
reat
men
t
data
; use
d
cale
ndar
tim
e
as p
roxy
for
chan
ges
in
tr
eatm
ent
re
gim
ens.
Sel
f-ad
min
iste
red
qu
estio
nnai
re a
sses
sed
fr
eque
ncy
and
inte
nsity
(har
d co
nsis
ts o
f
regu
lar,
vig
orou
s
trai
ning
or
at le
ast
4
h/w
k of
exe
rcis
e;
se
dent
ary
cons
ists
of
pa
rtic
ipat
ion
in r
eadi
ng,
w
atch
ing
tele
visi
on o
r
othe
r se
dent
ary
ac
tiviti
es) o
f us
ual
le
isur
e-tim
e ph
ysic
al
ac
tivity
in t
he y
ear
be
fore
a s
cree
ning
mam
mog
ram
, whi
ch
oc
curr
ed a
t va
riabl
e
times
bef
ore
canc
er
di
agno
sis
HR
of
deat
h fr
om a
ny c
ause
for
vigo
rous
vs
sede
ntar
y
phys
ical
act
ivity
= 0
.74
(9
5% C
I = 0
.51
to 1
.08)
;
P tre
nd =
.27;
HR
of
deat
h fr
om
br
east
can
cer
for
hard
vs
se
dent
ary
phys
ical
act
ivity
= 0
.75
(9
5% C
I = 0
.49
to 1
.15)
;
P tre
nd =
.41;
Adj
uste
d fo
r st
age
an
d m
ultip
le b
reas
t ca
ncer
ris
k
fact
ors,
incl
udin
g B
MI,
but
not
tr
eatm
ent.
Str
atifi
ed a
naly
ses
su
gges
ted
redu
ced
risk
of
dea
th f
rom
any
cau
se
as
soci
ated
with
har
d
leis
ure-
time
phys
ical
activ
ity c
ompa
red
with
sede
ntar
y ph
ysic
al
ac
tivity
am
ong
wom
en
w
ith a
BM
I ≤ 25
kg/
m 2
an
d ag
e >
55 y
at
di
agno
sis.
Tab
le 1
(C
on
tin
ued
).
(Tab
le c
ontin
ues)
at NIH
Library on A
pril 29, 2013http://jnci.oxfordjournals.org/
Dow
nloaded from
![Page 6: Physical Activity, Biomarkers, and Disease Outcomes in ... · mortality (cancer-specific and all-cause) and/or cancer biomarkers. Methods We identified 45 articles published from](https://reader033.vdocuments.site/reader033/viewer/2022060402/5f0e651d7e708231d43f09bf/html5/thumbnails/6.jpg)
820 Reviews | JNCI Vol. 104, Issue 11 | June 6, 20126 Review | JNCI Vol. 104, Issue 11 | June 6, 2012
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
s
Stu
dy
des
ign
, fo
llow
-up
, an
d
ou
tco
me
asse
ssm
ent
Dis
ease
sta
ge
and
tre
atm
ent
dat
a
Ph
ysic
al a
ctiv
ity
mea
sure
an
d
tim
ing
Ove
rall
resu
lts
Su
bg
rou
p r
esu
lts
Hel
lman
n ( 3
0 ),
20
10, D
enm
ark;
Cop
enha
gen
C
ity H
eart
Stu
dy
528
wom
en w
ith b
reas
t
canc
er, 1
78 b
reas
t
canc
er – s
peci
fic d
eath
s,
32
3 de
aths
fro
m a
ny
ca
use.
Med
ian
age
66.9
y;
R
ace
or e
thni
city
NR
;
diag
nosi
s 19
76 – 2
003;
pre-
and
pos
tmen
opau
sal;
in
terv
iew
ed m
ean
6.7
y
befo
re d
iagn
osis
Pro
spec
tive
inci
dent
canc
er c
ohor
t st
udy;
med
ian
follo
w-u
p 7.
8 y;
vita
l sta
tus
and
caus
e of
deat
h by
rec
ord
linka
ge.
Tum
or s
tage
;
trea
tmen
t
(CT,
RT,
HT)
Sel
f-ad
min
iste
red
qu
estio
nnai
re a
sses
sed
le
isur
e-tim
e ph
ysic
al
ac
tivity
, in
h/w
k, b
efor
e
diag
nosi
s (r
efer
ent
pe
riod
NR
)
HR
of
deat
h fr
om a
ny c
ause
for
leis
ure-
time
phys
ical
act
ivity
of
>
4 vs
<2
h/w
k =
1.0
0 (9
5%
C
I = 0
.69
to 1
.45)
; P tre
nd =
.86;
HR
of
deat
h fr
om b
reas
t ca
ncer
for
leis
ure-
time
phys
ical
act
ivity
of >
4 vs
<2
h/w
k =
1.0
1
(95%
CI =
0.6
2 to
1.6
3);
P
trend
= .5
1; A
djus
ted
for
stag
e,
tr
eatm
ent,
and
mul
tiple
bre
ast
ca
ncer
ris
k fa
ctor
s, in
clud
ing
B
MI.
Str
atifi
ed a
naly
ses
by
m
enop
ausa
l sta
tus
and
st
age
had
limite
d po
wer
to d
etec
t st
atis
tical
ly
si
gnifi
cant
res
ults
.
Kee
gan
( 31 )
, 201
0,
M
ultin
atio
nal;
B
reas
t C
ance
r
Fam
ily R
egis
try
4153
wom
en w
ith B
C,
B
reas
t ca
ncer
– spe
cific
deat
hs N
R, 7
25 d
eath
s
from
any
cau
se. A
ge
ra
nge
18 t
o ≥ 6
0 y;
75%
non-
His
pani
c w
hite
, 11%
non-
His
pani
c A
sian
;
diag
nosi
s 19
91 – 2
000;
pre-
and
pos
tmen
opau
sal;
in
terv
iew
ed m
ean
19.2
mo
afte
r di
agno
sis
Pop
ulat
ion-
base
d
pros
pect
ive
inci
dent
canc
er c
ohor
t st
udy;
med
ian
follo
w-u
p
7.8
y; v
ital s
tatu
s
by r
ecor
d lin
kage
.
Tum
or s
tage
fact
ors
and
ER
and
PR
sta
tus;
trea
tmen
t
(CT,
HT)
Sel
f-ad
min
iste
red
qu
estio
nnai
re a
sses
sed
du
ratio
n an
d fr
eque
ncy
of
leis
ure-
time
activ
ities
thro
ugho
ut t
he li
fetim
e
at v
ario
us a
ge in
terv
als
an
d du
ring
the
3 y
be
fore
dia
gnos
is
(r
ecen
t)
HR
of
deat
h fr
om a
ny c
ause
for
lifet
ime
phys
ical
act
ivity
of
>
38.2
vs
0 M
ET-
h/w
k =
0.9
3
(95%
CI =
0.7
2 to
1.2
1);
P
trend
= .7
4; H
R o
f de
ath
from
any
caus
e fo
r re
cent
phy
sica
l
activ
ity o
f >
38.2
vs
0
ME
T-h/
wk
= 0
.77
(9
5% C
I = 0
.60
to 1
.00)
;
P tre
nd =
.10;
Adj
uste
d fo
r st
age
an
d m
ultip
le b
reas
t ca
ncer
ris
k
fact
ors,
incl
udin
g B
MI,
but
not
tr
eatm
ent.
Str
atifi
ed a
naly
sis
su
gges
ted
stro
nger
effe
cts
for
ER
-pos
itive
dise
ase
but
no
di
ffer
ence
by
race
or
et
hnic
ity o
r B
MI.
Stu
dies
tha
t as
sess
ed p
hysi
cal a
ctiv
ity u
nder
take
n af
ter
diag
nosi
s B
orug
ian
( 32 )
,
2004
, Can
ada
603
wom
en w
ith b
reas
t
canc
er, 1
12 b
reas
t
canc
er – s
peci
fic d
eath
s,
14
6 de
aths
fro
m a
ny
ca
use.
Mea
n ag
e 54
.5 y
;
pred
omin
antly
whi
te;
di
agno
sis
1991
– 199
2;
pr
e- a
nd p
ostm
enop
ausa
l;
inte
rvie
wed
2 m
o af
ter
su
rger
y
Pro
spec
tive
inci
dent
canc
er c
ohor
t st
udy;
med
ian
follo
w-u
p 8.
1 y;
vita
l sta
tus
and
caus
e
of d
eath
by
reco
rd
lin
kage
.
Tum
or s
ize
and
st
age,
his
tolo
gy,
ER
and
PR
stat
us;
tr
eatm
ent
(s
urge
ry,
R
T, C
T, H
T)
Sel
f-ad
min
iste
red
qu
estio
nnai
re a
sses
sed
fr
eque
ncy
and
spec
ific
ty
pes
(suc
h as
wal
king
,
spor
ts, e
xerc
ise)
of
le
isur
e-tim
e ph
ysic
al
ac
tivity
, in
times
/wk,
shor
tly a
fter
dia
gnos
is
RR
of d
eath
from
bre
ast c
ance
r for
exer
cise
>1
vs 0
tim
es/w
k =
1.0
(95%
CI =
0.6
to
1.6)
; Adj
uste
d
for
stag
e an
d m
ultip
le b
reas
t
canc
er r
isk
fact
ors,
incl
udin
g
calo
ric in
take
, but
not
tre
atm
ent
or
BM
I. P
val
ues
not
prov
ided
.
Freq
uenc
ies
of s
even
diff
eren
t
type
s of
phy
sica
l act
ivity
wer
e
asse
ssed
and
non
e w
ere
as
soci
ated
with
bre
ast
canc
er
m
orta
lity.
No
effe
ct m
odifi
catio
n by
men
opau
sal s
tatu
s.
Tab
le 1
(C
on
tin
ued
).
(Tab
le c
ontin
ues)
at NIH
Library on A
pril 29, 2013http://jnci.oxfordjournals.org/
Dow
nloaded from
![Page 7: Physical Activity, Biomarkers, and Disease Outcomes in ... · mortality (cancer-specific and all-cause) and/or cancer biomarkers. Methods We identified 45 articles published from](https://reader033.vdocuments.site/reader033/viewer/2022060402/5f0e651d7e708231d43f09bf/html5/thumbnails/7.jpg)
JNCI | Reviews 821jnci.oxfordjournals.orgjnci.oxfordjournals.org JNCI | Review 7
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
s
Stu
dy
des
ign
, fo
llow
-up
, an
d
ou
tco
me
asse
ssm
ent
Dis
ease
sta
ge
and
tre
atm
ent
dat
a
Ph
ysic
al a
ctiv
ity
mea
sure
an
d
tim
ing
Ove
rall
resu
lts
Su
bg
rou
p r
esu
lts
Hol
mes
( 33 )
, 200
5,
U
nite
d S
tate
s;
N
urse
s’ H
ealth
stud
y
2987
wom
en w
ith b
reas
t
canc
er, 2
80 b
reas
t
canc
er – s
peci
fic d
eath
s,
46
3 de
aths
fro
m a
ny
ca
use.
Age
rang
e 30
– 55
y;
R
ace
or e
thni
city
NR
;
diag
nosi
s 19
84 – 1
998;
pred
omin
antly
post
men
opau
sal;
in
terv
iew
ed m
edia
n
38 m
o af
ter
diag
nosi
s
Pro
spec
tive
inci
dent
canc
er c
ohor
t st
udy;
med
ian
follo
w-u
p 8
y;
vi
tal s
tatu
s by
rec
ord
lin
kage
.
Tum
or s
ize,
num
ber
of
m
etas
tatic
lym
ph n
odes
,
ER
, and
PR
stat
us;
tr
eatm
ent
(s
urge
ry, R
T,
C
T, H
T)
Sel
f-ad
min
iste
red
qu
estio
nnai
re a
sses
sed
fr
eque
ncy
and
inte
nsity
of le
isur
e-tim
e ph
ysic
al
ac
tivity
, in
ME
T-h/
wk,
durin
g th
e pr
eced
ing
ye
ar
RR
of
deat
h fr
om a
ny c
ause
for
phys
ical
act
ivity
of
≥ 24
vs <
3
ME
T-h/
wk
= 0
.65
(95%
CI =
0.48
to
0.88
); P
trend
= .0
03;
R
R o
f de
ath
from
bre
ast
canc
er
fo
r ph
ysic
al a
ctiv
ity o
f ≥ 2
4 vs
<3
ME
T-h/
wk
= 0
.60
(9
5% C
I = 0
.40
to 0
.80)
;
P tre
nd =
.004
; RR
of
recu
rren
ce
fo
r ph
ysic
al a
ctiv
ity o
f ≥ 2
4 vs
<3
ME
T-h/
wk
= 0
.74
(9
5% C
I = 0
.53
to 1
.04)
;
P tre
nd =
.05;
Adj
uste
d fo
r st
age,
trea
tmen
t, a
nd m
ultip
le b
reas
t
canc
er r
isk
fact
ors,
incl
udin
g
BM
I. S
imila
r st
atis
tical
ly
si
gnifi
cant
res
ults
wer
e se
en
fo
r ph
ysic
al a
ctiv
ity b
efor
e
diag
nosi
s in
wom
en w
ith
B
MI <
25 k
g/m
2
Str
atifi
ed a
naly
ses
su
gges
ted
sim
ilar
effe
cts
by
men
opau
sal s
tatu
s
and
stag
e. S
tron
ger
ef
fect
s w
ere
seen
for
wom
en w
ith h
orm
one
re
cept
or – p
ositi
ve
tu
mor
s.
Ber
tram
( 22 )
, 201
1,
U
nite
d S
tate
s,
W
omen
’s
H
ealth
y E
atin
g
and
Livi
ng S
tudy
(WH
EL)
upd
ate
of
Pie
rce
( 20 )
,
2007
, Uni
ted
S
tate
s
2361
wom
en w
ith b
reas
t
canc
er, 2
95 b
reas
t ca
ncer
recu
rren
ces,
195
dea
ths
fr
om a
ny c
ause
. Mea
n
age
54 y
; mul
tieth
nic
co
hort
; dia
gnos
is
19
91 – 1
994;
pre
- and
post
men
opau
sal;
in
terv
iew
ed a
fter
trea
tmen
t at
bas
elin
e
and
1 y
afte
r in
terv
entio
n
Pro
spec
tive
surv
ivor
ship
coho
rt s
tudy
bas
ed o
n
all e
ligib
le p
artic
ipan
ts
fr
om W
HE
L, a
die
tary
inte
rven
tion
tria
l; m
ean
fo
llow
-up
7.1
y; v
ital
st
atus
by
reco
rd li
nkag
e
Tum
or g
rade
,
stag
e, a
nd
E
R a
nd P
R
st
atus
;
chem
othe
rapy
type
and
adju
vant
ther
apy
Sel
f-ad
min
iste
red
qu
estio
nnai
re a
sses
sed
fr
eque
ncy,
dur
atio
n,
an
d in
tens
ity o
f
phys
ical
act
ivity
, in
M
ET-
h/w
k, c
ondu
cted
at t
he t
ime
of
as
sess
men
t
HR
of
deat
h fr
om a
ny c
ause
for
phys
ical
act
ivity
at
base
line
of
24
.7 – 1
07 v
s 0 –
2.5
M
ET-
h/w
k =
0.4
7
(95%
CI =
0.2
6 to
0.8
4);
P
trend
= .0
8; H
R o
f re
curr
ence
for
phys
ical
act
ivity
at
base
line
of
24.
7 – 10
7 vs
0 – 2
.5
M
ET-
h/w
k =
0.7
4
(95%
CI =
0.5
0 to
1.1
0);
P
trend
= .5
8; A
djus
ted
for
stag
e
and
mul
tiple
bre
ast
canc
er r
isk
fa
ctor
s, in
clud
ing
BM
I and
ener
gy in
take
, but
not
trea
tmen
t.
Non
e no
ted
Hol
ick
( 34 )
, 200
8,
U
nite
d S
tate
s;
C
olla
bora
tive
W
omen
’s
Lo
ngev
ity S
tudy
4482
wom
en w
ith b
reas
t
canc
er, 2
80 b
reas
t
canc
er – s
peci
fic d
eath
s,
46
3 de
aths
fro
m a
ny
ca
use.
Mea
n ag
e 61
.7 y
;
pred
omin
antly
whi
te;
di
agno
sis
1988
– 200
1;
pr
e- a
nd p
ostm
enop
ausa
l;
inte
rvie
wed
2 y
aft
er
di
agno
sis
Follo
w-u
p of
thr
ee
po
pula
tion-
base
d
inci
dent
cas
e – co
ntro
l
stud
ies;
mea
n fo
llow
-up
5.
6 y;
vita
l sta
tus
and
ca
use
of d
eath
by
re
cord
link
age
Tum
or s
tage
and
hist
olog
y;
tr
eatm
ent
m
odal
ity
Inte
rvie
wer
-adm
inis
tere
d
ques
tionn
aire
ass
esse
d
freq
uenc
y an
d du
ratio
n
of w
eekl
y le
isur
e-tim
e
phys
ical
act
ivity
, in
M
ET-
h/w
k, d
urin
g th
e
prec
edin
g ye
ar.
HR
of
deat
h fr
om a
ny c
ause
for
phys
ical
act
ivity
of
≥ 21
vs
<
2.8
ME
T-h/
wk
= 0
.44
(9
5% C
I = 0
.32
to 0
.61)
;
P tre
nd <
.001
; HR
of
deat
h fr
om
br
east
can
cer
for
phys
ical
activ
ity o
f ≥ 2
1 vs
<2.
8
ME
T-h/
wk
= 0
.49
(9
5% C
I = 0
.27
to 0
.89)
;
P tre
nd =
.05;
Adj
uste
d fo
r sta
ge,
tr
eatm
ent,
and
mul
tiple
bre
ast
ca
ncer
risk
fact
ors,
incl
udin
g B
MI.
No
effe
ct m
odifi
catio
n by
age,
sta
ge, B
MI,
or t
ime
si
nce
diag
nosi
s.
Tab
le 1
(C
on
tin
ued
).
(Tab
le c
ontin
ues)
at NIH
Library on A
pril 29, 2013http://jnci.oxfordjournals.org/
Dow
nloaded from
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822 Reviews | JNCI Vol. 104, Issue 11 | June 6, 20128 Review | JNCI Vol. 104, Issue 11 | June 6, 2012
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
s
Stu
dy
des
ign
, fo
llow
-up
, an
d
ou
tco
me
asse
ssm
ent
Dis
ease
sta
ge
and
tre
atm
ent
dat
a
Ph
ysic
al a
ctiv
ity
mea
sure
an
d
tim
ing
Ove
rall
resu
lts
Su
bg
rou
p r
esu
lts
Irw
in ( 3
5 ), 2
008,
Uni
tes
Sta
tes;
Hea
lth, E
atin
g,
A
ctiv
ity, a
nd
Li
fest
yle
(HE
AL)
Stu
dy
933
wom
en w
ith b
reas
t
canc
er, 1
15 b
reas
t
canc
er – s
peci
fic d
eath
s,
16
4 de
aths
fro
m a
ny
ca
use.
Mea
n ag
e 55
y;
m
ultie
thni
c co
hort
;
diag
nosi
s 19
95 – 1
998;
pre-
and
pos
tmen
opau
sal;
in
terv
iew
ed a
t a
med
ian
of
5 m
o af
ter
diag
nosi
s
and
agai
n at
a m
edia
n of
2.5
y af
ter
diag
nosi
s
Pro
spec
tive
surv
ivor
ship
coho
rt s
tudy
; med
ian
fo
llow
-up
6 y;
vita
l
stat
us b
y re
cord
link
age
Tum
or s
tage
, ER
and
PR
sta
tus;
adju
vant
ther
apy
and
HT
Inte
rvie
wer
-adm
inis
tere
d
ques
tionn
aire
ass
esse
d
leis
ure-
time,
occu
patio
nal,
and
ho
useh
old
phys
ical
activ
ity, i
n M
ET-
h/w
k,
fo
r th
e ye
ar b
efor
e
diag
nosi
s an
d ag
ain
at
th
e tim
e of
ass
essm
ent
(3
y a
fter
dia
gnos
is)
HR
of
deat
h fr
om a
ny c
ause
for
leis
ure-
time
phys
ical
act
ivity
3 y
afte
r di
agno
sis
for
≥ 9 v
s 0
M
ET-
h/w
k =
0.3
3
(95%
CI =
0.1
5 to
0.7
3);
P
trend
= .0
46; H
R o
f de
ath
from
brea
st c
ance
r fo
r le
isur
e-tim
e
phys
ical
act
ivity
3 y
aft
er
di
agno
sis
for
9 vs
0
M
ET-
h/w
k =
0.6
5
(95%
CI =
0.2
3 to
1.8
);
P tre
nd =
.46;
HR
of
deat
h fr
om
an
y ca
use
for
leis
ure-
time
ph
ysic
al a
ctiv
ity d
urin
g th
e ye
ar
be
fore
dia
gnos
is o
f ≥
9 vs
0
M
ET-
h/w
k =
0.6
9
(95%
CI =
0.4
5 to
1.0
6);
P
trend
= .0
45; H
R o
f de
ath
from
brea
st c
ance
r fo
r le
isur
e-tim
e
phys
ical
act
ivity
dur
ing
the
year
befo
re d
iagn
osis
of
≥ 9
vs 0
ME
T-h/
wk
= 0
.83
(9
5% C
I = 0
.49
to 1
.38)
;
P tre
nd =
.27;
Adj
uste
d fo
r st
age,
trea
tmen
t, a
nd m
ultip
le b
reas
t
canc
er r
isk,
incl
udin
g B
MI a
nd
fr
uit
and
vege
tabl
e in
take
.
Lim
ited
stat
istic
al p
ower
to e
xam
ine
subg
roup
s,
bu
t so
me
sugg
estio
n
of a
gre
ater
ben
efit
fo
r tu
mor
s w
ith m
ore
ad
vanc
ed s
tage
and
ER
-pos
itive
sta
tus.
Ste
rnfe
ld ( 3
6 ),
20
09, U
nite
d
Sta
tes,
Life
Aft
er C
ance
r
Epi
dem
iolo
gy
(L
AC
E) S
tudy
1970
wom
en w
ith b
reas
t
canc
er, 1
02 b
reas
t
canc
er – s
peci
fic d
eath
s,
18
7 de
aths
fro
m a
ny
ca
use.
Age
ran
ge
18
– 79
y; p
redo
min
antly
whi
te; d
iagn
osis
1997
– 200
0; p
re- a
nd
po
stm
enop
ausa
l;
inte
rvie
wed
at
stud
y
entr
y (m
ean
1.9
y af
ter
di
agno
sis)
Pro
spec
tive
surv
ivor
ship
coho
rt s
tudy
; mea
n
follo
w-u
p 7.
25 y
; vita
l
stat
us a
nd c
ause
of
de
ath
by r
ecor
d lin
kage
.
Tum
or s
ize,
hist
olog
y,
ly
mph
nod
e
invo
lvem
ent,
dist
ant
m
etas
tasi
s,
an
d E
R a
nd
P
R s
tatu
s;
tr
eatm
ent
type
Sel
f-ad
min
iste
red
qu
estio
nnai
re a
sses
sed
fr
eque
ncy
and
dura
tion
of
occ
upat
iona
l,
hous
ehol
d an
d ca
re
gi
ving
, lei
sure
-tim
e, a
nd
tr
ansp
orta
tion-
rela
ted
ph
ysic
al a
ctiv
ity, i
n
ME
T-h/
wk,
dur
ing
the
pr
eced
ing
6 m
o
HR
of
deat
h fr
om a
ny c
ause
for
phys
ical
act
ivity
of
≥ 62
vs
<
29 M
ET-
h/w
k =
0.7
6
(95%
CI =
0.4
8 to
1.1
9);
P
trend
= .2
0; H
R o
f de
ath
from
brea
st c
ance
r fo
r ph
ysic
al
ac
tivity
of
≥ 62
vs <
29
M
ET-
h/w
k =
0.8
7
(95%
CI =
0.4
8 to
1.5
9);
P
trend
= .4
1; H
R o
f re
curr
ence
for
phys
ical
act
ivity
of
≥ 62
vs
<
29 M
ET-
h/w
k =
0.9
1
(95%
CI =
0.6
1 to
1.3
6);
P
trend
= .7
8; A
djus
ted
for
stag
e,
tr
eatm
ent,
and
mul
tiple
bre
ast
ca
ncer
ris
k fa
ctor
s, in
clud
ing
w
eigh
t.
Non
e no
ted
Tab
le 1
(C
on
tin
ued
).
(Tab
le c
ontin
ues)
at NIH
Library on A
pril 29, 2013http://jnci.oxfordjournals.org/
Dow
nloaded from
![Page 9: Physical Activity, Biomarkers, and Disease Outcomes in ... · mortality (cancer-specific and all-cause) and/or cancer biomarkers. Methods We identified 45 articles published from](https://reader033.vdocuments.site/reader033/viewer/2022060402/5f0e651d7e708231d43f09bf/html5/thumbnails/9.jpg)
JNCI | Reviews 823jnci.oxfordjournals.orgjnci.oxfordjournals.org JNCI | Review 9
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
s
Stu
dy
des
ign
, fo
llow
-up
, an
d
ou
tco
me
asse
ssm
ent
Dis
ease
sta
ge
and
tre
atm
ent
dat
a
Ph
ysic
al a
ctiv
ity
mea
sure
an
d
tim
ing
Ove
rall
resu
lts
Su
bg
rou
p r
esu
lts
Che
n ( 3
7 ), 2
011,
Chi
na; S
hang
hai
B
reas
t C
ance
r
Sur
viva
l Stu
dy
(S
BC
SS
)
4826
wom
en w
ith b
reas
t
canc
er, b
reas
t
canc
er – s
peci
fic d
eath
s
NR
, 436
dea
ths
from
any
caus
e. M
ean
age
53.5
y;
pr
edom
inan
tly A
sian
;
diag
nosi
s 20
02 – 2
006;
pre-
and
pos
tmen
opau
sal;
in
terv
iew
ed 6
, 18,
36,
and
60 m
o af
ter
diag
nosi
s
Pop
ulat
ion-
base
d co
hort
stud
y; m
edia
n
follo
w-u
p 4.
3 y;
vita
l
stat
us b
y re
cord
linka
ge.
Tum
or s
tage
, ER
and
PR
sta
tus;
trea
tmen
t ty
pe,
ta
mox
ifen
use
Inte
rvie
wer
-adm
inis
tere
d
ques
tionn
aire
ass
esse
d
freq
uenc
y an
d du
ratio
n
of e
xerc
ise
on a
wee
kly
ba
sis,
in M
ET-
h/w
k, a
t
the
time
of e
ach
in
terv
iew
(aft
er
di
agno
sis)
HR
of
deat
h fr
om a
ny c
ause
for
phys
ical
act
ivity
at
6 m
o af
ter
di
agno
sis
of ≥
8.3
ME
T-h/
wk
vs
no
exer
cise
= 0
.80
(9
5% C
I = 0
.63
to 1
.02)
;
P tre
nd =
.198
; HR
of
deat
h fr
om
an
y ca
use
for
phys
ical
act
ivity
at 3
6 m
o af
ter
diag
nosi
s of
≥ 8.3
ME
T-h/
wk
vs n
o
exer
cise
= 0
.65
(95%
CI =
0.5
1
to 0
.84)
; P tre
nd <
.001
; HR
of
de
ath
from
bre
ast
canc
er f
or
ph
ysic
al a
ctiv
ity a
t 6
mo
afte
r
diag
nosi
s of
≥ 8.
3 M
ET-
h/w
k vs
no e
xerc
ise
= 0
.98
(9
5% C
I = 0
.78
to 1
.24)
;
P tre
nd =
.47;
HR
of
deat
h fr
om
br
east
can
cer
for
phys
ical
activ
ity a
t 36
mo
afte
r di
agno
sis
of
≥ 8.
3 M
ET-
h/w
k vs
no
ex
erci
se =
0.5
9 (9
5% C
I = 0
.45
to
0.7
6); P
trend
= .0
06; A
djus
ted
fo
r st
age,
tre
atm
ent,
and
mul
tiple
bre
ast
canc
er r
isk
fa
ctor
s, in
clud
ing
BM
I.
No
effe
ct m
odifi
catio
n by
men
opau
sal s
tatu
s,
co
mor
bidi
ty, q
ualit
y of
life,
or
body
siz
e.
Tab
le 1
(C
on
tin
ued
).
(Tab
le c
ontin
ues)
at NIH
Library on A
pril 29, 2013http://jnci.oxfordjournals.org/
Dow
nloaded from
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824 Reviews | JNCI Vol. 104, Issue 11 | June 6, 201210 Review | JNCI Vol. 104, Issue 11 | June 6, 2012
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
s
Stu
dy
des
ign
, fo
llow
-up
, an
d
ou
tco
me
asse
ssm
ent
Dis
ease
sta
ge
and
tre
atm
ent
dat
a
Ph
ysic
al a
ctiv
ity
mea
sure
an
d
tim
ing
Ove
rall
resu
lts
Su
bg
rou
p r
esu
lts
Irw
in ( 3
8 ), 2
011,
Uni
ted
Sta
tes;
Wom
en’s
Hea
lth
In
itiat
ive
(WH
I)
4643
wom
en w
ith b
reas
t
canc
er, 1
94 b
reas
t
canc
er – s
peci
fic d
eath
s,
35
0 de
aths
fro
m a
ny
ca
use.
Mea
n ag
e 63
.7 y
;
pred
omin
antly
whi
te;
di
agno
sed
befo
re 2
005;
post
men
opau
sal;
in
terv
iew
ed a
t ba
selin
e
(ave
rage
4.1
y b
efor
e
diag
nosi
s), a
nd a
t ye
ar 3
and
year
6 w
ith r
espe
ct
to
enr
ollm
ent
Pro
spec
tive
long
itudi
nal
ch
roni
c di
seas
e in
cide
nt
co
hort
stu
dy; m
ean
fo
llow
-up
3.3
y; v
ital
st
atus
and
cau
se o
f
deat
h by
rec
ord
linka
ge
Tum
or s
tage
,
grad
e, E
R a
nd
P
R s
tatu
s,
H
ER
2/ne
u
stat
us; n
o
trea
tmen
t da
ta
Sel
f-ad
min
iste
red
qu
estio
nnai
re a
sses
sed
fr
eque
ncy,
dur
atio
n,
an
d in
tens
ity o
f
phys
ical
act
ivity
, in
M
ET-
h/w
k, c
ondu
cted
at t
he t
ime
of t
he
as
sess
men
t
HR
of
deat
h fr
om a
ny c
ause
for
mod
erat
e ph
ysic
al a
ctiv
ity
be
fore
dia
gnos
is o
f ≥ 9
vs
0
ME
T-h/
wk
= 0
.58
(9
5% C
I = 0
.40
to 0
.69)
;
P tre
nd <
.001
; HR
of
deat
h fr
om
br
east
can
cer
for
mod
erat
e
phys
ical
act
ivity
bef
ore
di
agno
sis
of ≥
9 vs
0
M
ET-
h/w
k =
0.6
0
(95%
CI =
0.4
0 to
0.9
0);
P
trend
= .0
14; A
djus
ted
for
vi
goro
us-in
tens
ity p
hysi
cal
ac
tivity
and
mul
tiple
bre
ast
ca
ncer
ris
k fa
ctor
s, in
clud
ing
en
ergy
inta
ke a
nd B
MI.
HR
of
de
ath
from
any
cau
se f
or
m
oder
ate
to v
igor
ous
phys
ical
activ
ity a
fter
dia
gnos
is o
f
≥ 9 v
s 0
ME
T-h/
wk
= 0
.54
(9
5% C
I = 0
.38
to 0
.79)
;
P tre
nd <
.001
; HR
of
deat
h fr
om
br
east
can
cer
for
mod
erat
e to
vigo
rous
phy
sica
l act
ivity
aft
er
di
agno
sis
of ≥
9 vs
0
M
ET-
h/w
k =
0.6
1
(95%
CI =
0.3
5 to
0.9
9);
P
trend
= .0
49; A
djus
ted
for
stag
e
and
mul
tiple
bre
ast
canc
er r
isk
fa
ctor
s, in
clud
ing
ener
gy in
take
and
BM
I, bu
t no
t tr
eatm
ent.
Non
e no
ted
* A
DT
= a
ndro
gen
depr
ivat
ion
ther
apy;
BM
I = b
ody
mas
s in
dex;
CI =
con
fiden
ce in
terv
al; C
RP
=C
-rea
ctiv
e pr
otei
n; C
T =
che
mot
hera
py; E
CG
= e
lect
roca
rdio
grap
hy; E
R =
est
roge
n re
cept
or ; F
AS
N =
Fat
ty A
cid
Syn
thas
e G
ene ;
FIG
O =
Inte
rnat
iona
l Fed
erat
ion
of G
ynec
olog
y an
d O
bste
tric
s; H
EA
L =
Hea
lth, E
atin
g, A
ctiv
ity, a
nd L
ifest
yle;
HE
I = H
ealth
y E
atin
g In
dex;
HO
MA
= h
omeo
stas
is m
odel
ass
essm
ent;
HT
=ho
rmon
al
ther
apy;
HR
= h
azar
d ra
tio; I
GF
= in
sulin
like
grow
th f
acto
r; IG
FBP
= in
sulin
like
grow
th f
acto
r bi
ndin
g pr
otei
n; K
-ras
= K
irste
n ra
t sa
rcom
a 2
vira
l onc
ogen
e ho
mol
og; L
PS
= li
popo
lysa
ccha
ride;
ME
T =
met
abol
ic
equi
vale
nts;
NK
= n
atur
al k
iller
; N
R =
not
rep
orte
d; P
I3K
A =
Pho
spha
tidyl
inos
itol 3
-kin
ases
; P
R =
pro
gest
eron
e re
cept
or;
PS
A =
pro
stat
e-sp
ecifi
c an
tigen
; p2
1 =
cyc
lin-d
epen
dent
kin
ase
inhi
bito
r 1;
p27
=
cycl
in-d
epen
dent
kin
ase
inhi
bito
r 1B
; p53
= t
umor
pro
tein
53;
RR
= r
elat
ive
risk;
RM
= r
epet
ition
max
imum
; RT
= r
adia
tion
ther
apy;
SA
A =
ser
um a
myl
oid
A; V
O 2
= a
erob
ic c
apac
ity.
Tab
le 1
(C
on
tin
ued
).
at NIH
Library on A
pril 29, 2013http://jnci.oxfordjournals.org/
Dow
nloaded from
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JNCI | Reviews 825jnci.oxfordjournals.orgjnci.oxfordjournals.org JNCI | Review 11
Tab
le 2
. Ob
serv
atio
nal
stu
die
s o
f p
hys
ical
act
ivit
y an
d d
isea
se a
nd
mo
rtal
ity
even
ts in
su
rviv
ors
of
can
cers
oth
er t
han
bre
ast
can
cer *
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
s
Stu
dy
des
ign
, fo
llow
-up
, an
d
ou
tco
me
asse
ssm
ent
Dis
ease
sta
ge
and
tre
atm
ent
dat
aP
hys
ical
act
ivit
y m
easu
re a
nd
tim
ing
Ove
rall
resu
lts
Su
bg
rou
p r
esu
lts
Col
orec
tal c
ance
r st
udie
s th
at a
sses
sed
phys
ical
act
ivity
und
erta
ken
befo
re d
iagn
osis
onl
y H
aydo
n ( 3
9 ),
20
06, A
ustr
alia
;
Mel
bour
ne
C
olla
bora
tive
C
ohor
t S
tudy
526
men
and
wom
en
w
ith c
olor
ecta
l
canc
er; 1
81 c
olor
ecta
l
canc
er – s
peci
fic
de
aths
; 208
dea
ths
fr
om a
ny c
ause
; Mea
n
age
66.3
y; r
ace
or
et
hnic
ity N
R;
di
agno
sis
1990
– 200
2;
in
terv
iew
ed a
t bas
elin
e
(bef
ore
diag
nosi
s)
Follo
w-u
p of
a p
rosp
ectiv
e
inci
dent
can
cer
coho
rt
st
udy;
med
ian
fo
llow
-up
5.5
y;
in
form
atio
n on
diag
nosi
s an
d de
ath
by
rec
ord
linka
ge.
Tum
or s
ite, s
tage
;
trea
tmen
t;
tu
mor
recu
rren
ce
Inte
rvie
wer
-adm
inis
tere
d
ques
tionn
aire
asse
ssed
fre
quen
cy
an
d in
tens
ity o
f
nono
ccup
atio
nal
ph
ysic
al a
ctiv
ity, o
n
aver
age,
at
the
time
of
ass
essm
ent
HR
of
deat
h fr
om a
ny c
ause
for
pre-
diag
nosi
s re
gula
r ex
erci
se >
1 vs
0 tim
es/w
k =
0.7
7 (9
5% C
I = 0
.58
to
1.
03);
P tre
nd =
.08;
HR
of
di
seas
e-sp
ecifi
c de
ath
for
pr
e-di
agno
sis
regu
lar
exer
cise
>1
vs
0
times
/wk
= 0
.73
(95%
CI =
0.5
4
to 1
.00)
; P tre
nd =
.05;
Adj
uste
d fo
r
stag
e bu
t no
t tr
eatm
ent
or B
MI.
Non
e no
ted
Col
orec
tal c
ance
r st
udie
s th
at a
sses
sed
phys
ical
act
ivity
und
erta
ken
afte
r di
agno
sis
Mey
erha
rdt
( 40 )
,
2006
; Uni
ted
S
tate
s, N
urse
s’
H
ealth
Stu
dy
573
wom
en w
ith
co
lore
ctal
can
cer;
80 c
olor
ecta
l
canc
er – s
peci
fic
de
aths
; 132
dea
ths
fr
om a
ny c
ause
;
Med
ian
age
65 y
;
Rac
e or
eth
nici
ty N
R;
di
agno
sis
1986
– 200
2;
in
terv
iew
ed m
edia
n
6 m
o be
fore
dia
gnos
is
an
d m
edia
n 22
mo
af
ter
diag
nosi
s
Follo
w-u
p of
a
pr
ospe
ctiv
e in
cide
nt
ca
ncer
coh
ort
stud
y;
m
edia
n fo
llow
-up
9.
6 y;
vita
l sta
tus
and
pr
imar
y an
d
seco
ndar
y di
agno
ses
by
rec
ord
linka
ge.
Tum
or s
tage
,
hist
olog
y, s
ite;
tr
eatm
ent
Sel
f-ad
min
iste
red
qu
estio
nnai
re
as
sess
ed
le
isur
e-tim
e ph
ysic
al
ac
tivity
, in
ME
T-h/
wk,
durin
g th
e pa
st y
ear
HR
of
deat
h fr
om a
ny c
ause
for
post
-dia
gnos
is p
hysi
cal a
ctiv
ity o
f
≥ 18
vs <
3 M
ET-
h/w
k =
0.4
3 (9
5%
C
I = 0
.25
to 0
.74)
; P tre
nd =
.003
; HR
of
C
RC
-spe
cific
dea
th f
or p
ost-
diag
nosi
s
phys
ical
act
ivity
of
≥ 18
vs
<
3 M
ET-
h/w
k =
0.39
(95%
CI =
0.1
8
to 0
.82)
; P tre
nd =
.008
; HR
of
deat
h fr
om
an
y ca
use
for
pre-
diag
nosi
s ph
ysic
al
ac
tivity
of
≥ 18
vs <
3 M
ET-h
/wk
= 0
.95
(9
5% C
I = 0
.57
to 1
.59)
; P tre
nd =
.92;
HR
of
CR
C-s
peci
fic d
eath
for
pre-
diag
nosi
s ph
ysic
al a
ctiv
ity o
f
≥ 18
vs <
3 M
ET-
h/w
k =
0.8
6 (9
5%
C
I = 0
.44
to 1
.67)
; P tre
nd =
.81;
Adj
uste
d fo
r st
age,
tre
atm
ent,
and
mul
tiple
col
on c
ance
r ris
k
fact
ors,
incl
udin
g B
MI.
Str
atifi
ed a
naly
ses
su
gges
t w
eake
r
effe
cts
for
pa
tient
s w
ith
B
MI >
25 k
g/m
2
and
stro
nger
effe
cts
for
ol
der
patie
nts.
Mey
erha
rdt
( 41 )
,
2006
, Uni
ted
S
tate
s; C
ance
r
and
Leuk
emia
Gro
up B
Tria
l
832
men
and
wom
en
w
ith c
olor
ecta
l can
cer;
colo
rect
al
ca
ncer
– spe
cific
deat
hs N
R; 8
4 de
aths
from
any
cau
se;
M
edia
n ag
e 60
y;
91
% w
hite
; dia
gnos
is
19
90 – 2
001;
inte
rvie
wed
med
ian
13
.4 m
o af
ter d
iagn
osis
Pro
spec
tive
coho
rt
st
udy
of p
atie
nts
en
rolle
d in
a
ra
ndom
ized
con
trol
led
tr
ial;
med
ian
follo
w-u
p
3.8
y; d
isea
se-f
ree
su
rviv
al a
nd v
ital
st
atus
by
med
ical
repo
rt.
Tum
or s
tage
,
num
ber
of
po
sitiv
e ly
mph
node
s, t
umor
grad
e;
tr
eatm
ent
Sel
f-ad
min
iste
red
qu
estio
nnai
re
as
sess
ed
le
isur
e-tim
e ph
ysic
al
ac
tivity
, in
ME
T-h/
wk,
durin
g th
e pr
eced
ing
2
mo
HR
of
deat
h fr
om a
ny c
ause
for
post
-dia
gnos
is p
hysi
cal a
ctiv
ity o
f ≥ 2
7
vs <
3 M
ET-
h/w
k =
0.3
7 (9
5%
C
I = 0
.16
to 0
.82)
; P tre
nd =
.01;
HR
of C
RC
rec
urre
nce
for
post
-dia
gnos
is
ph
ysic
al a
ctiv
ity o
f ≥ 2
7 vs
<3
ME
T-h/
wk
=0.
60 (9
5% C
I = 0
.36
to
1.0
1); P
trend
= .0
3; H
R o
f
dise
ase-
free
sur
viva
l for
post
-dia
gnos
is p
hysi
cal a
ctiv
ity o
f
≥ 27
vs <
3 M
ET-
h/w
k =
0.5
5 (9
5%
C
I = 0
.33
to 0
.91)
; P tre
nd =
.01;
Adj
uste
d fo
r st
age,
tre
atm
ent,
and
othe
r cl
inic
al f
acto
rs a
nd B
MI.
Non
e no
ted
(Tab
le c
ontin
ues)
at NIH
Library on A
pril 29, 2013http://jnci.oxfordjournals.org/
Dow
nloaded from
![Page 12: Physical Activity, Biomarkers, and Disease Outcomes in ... · mortality (cancer-specific and all-cause) and/or cancer biomarkers. Methods We identified 45 articles published from](https://reader033.vdocuments.site/reader033/viewer/2022060402/5f0e651d7e708231d43f09bf/html5/thumbnails/12.jpg)
826 Reviews | JNCI Vol. 104, Issue 11 | June 6, 201212 Review | JNCI Vol. 104, Issue 11 | June 6, 2012
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
s
Stu
dy
des
ign
, fo
llow
-up
, an
d
ou
tco
me
asse
ssm
ent
Dis
ease
sta
ge
and
tre
atm
ent
dat
aP
hys
ical
act
ivit
y m
easu
re a
nd
tim
ing
Ove
rall
resu
lts
Su
bg
rou
p r
esu
lts
Mey
erha
rdt
( 42 )
,
2009
, Uni
ted
S
tate
s; H
ealth
Pro
fess
iona
ls
Fo
llow
-up
S
tudy
668
men
with
col
orec
tal
ca
ncer
; 88
colo
rect
al
ca
ncer
– spe
cific
deat
hs; 2
58 d
eath
s
from
any
cau
se; R
ace
or
eth
nici
ty N
R;
di
agno
sis
1986
– 200
4;
in
terv
iew
ed m
edia
n
15 m
o af
ter
diag
nosi
s
Follo
w-u
p of
a
pr
ospe
ctiv
e in
cide
nt
ch
roni
c di
seas
e
coho
rt s
tudy
; med
ian
fo
llow
-up
8.6
y; v
ital
st
atus
and
prim
ary
an
d se
cond
ary
di
agno
sis
by r
ecor
d
linka
ge
Tum
or s
tage
,
tum
or s
ite; n
o
trea
tmen
t da
ta
Sel
f-ad
min
iste
red
qu
estio
nnai
re
as
sess
ed a
vera
ge
le
isur
e-tim
e ph
ysic
al
ac
tivity
dur
atio
n an
d
inte
nsity
, in
M
ET-
h/w
k, a
t th
e
time
of t
he in
terv
iew
HR
of
deat
h fr
om a
ny c
ause
for
post
-dia
gnos
is p
hysi
cal a
ctiv
ity o
f
>27
vs
≤ 3 M
ET-
h/w
k =
0.5
9 (9
5%
C
I = 0
.41
to 0
.86)
; P tre
nd <
.001
; HR
of C
RC
-spe
cific
dea
th f
or
po
st-d
iagn
osis
phy
sica
l act
ivity
of
≥ 1
8 vs
≤ 3
ME
T-h/
wk
= 0
.47
(9
5% C
I = 0
.24
to 0
.92)
; P tre
nd =
.002
;
Adj
uste
d fo
r st
age
and
mul
tiple
CR
C
ris
k fa
ctor
s, in
clud
ing
BM
I, bu
t no
t
trea
tmen
t.
Non
e no
ted
Mey
erha
rdt
( 43 )
,
2009
, Uni
ted
S
tate
s; H
ealth
Pro
fess
iona
ls
Fo
llow
-up
Stu
dy
an
d N
urse
s’
H
ealth
Stu
dy
484
men
and
wom
en
w
ith c
olon
can
cer;
colo
n ca
ncer
– spe
cific
deat
hs N
R; d
eath
s
from
any
cau
se N
R;
M
edia
n ag
e 68
y;
R
ace
or e
thni
city
NR
;
diag
nosi
s 19
76 – 2
008;
inte
rvie
wed
med
ian
17
mo
afte
r di
agno
sis
Follo
w-u
p of
a
pr
ospe
ctiv
e in
cide
nt
ch
roni
c di
seas
e
coho
rt s
tudy
;
follo
w-u
p da
ta N
R;
vi
tal s
tatu
s an
d
prim
ary
and
seco
ndar
y
diag
nosi
s by
med
ical
reco
rd
Tum
or s
tage
,
site
, gra
de, a
nd
m
olec
ular
mar
kers
(FA
SN
, p53
,
p21,
p27
,
K-r
as, P
I3K
A);
no
tre
atm
ent
da
ta
Sel
f-ad
min
iste
red
qu
estio
nnai
re
as
sess
ed
le
isur
e-tim
e
phys
ical
act
ivity
dura
tion
and
in
tens
ity, i
n
ME
T-h/
wk,
at
the
tim
e of
the
inte
rvie
w
HR
of
deat
h fr
om a
ny c
ause
for
post
-dia
gnos
is p
hysi
cal a
ctiv
ity o
f
≥ 18
vs <
18 M
ET-
h/w
k =
0.6
0 (9
5%
C
I = 0
.41
to 0
.86)
; P int
erac
tion
= .6
2;
H
R o
f co
lon
canc
er-s
peci
fic d
eath
for
post
-dia
gnos
is p
hysi
cal a
ctiv
ity o
f
≥ 18
vs <
18 M
ET-
h/w
k =
0.6
4 (9
5%
C
I = 0
.33
to 1
.23)
; P int
erac
tion
= .7
7;
H
R o
f co
lon
canc
er-s
peci
fic d
eath
in p
hysi
cally
act
ive
patie
nts
with
p27
expr
essi
on =
0.3
2; (9
5% C
I= 0
.12
to
0.
85);
P int
erac
tion
= .0
3; A
djus
ted
for
st
age
and
mul
tiple
col
on c
ance
r
risk
fact
ors,
incl
udin
g B
MI,
but
not
tr
eatm
ent.
Non
e no
ted
Mor
ikaw
a ( 4
4 ),
20
11, U
nite
d
Sta
tes;
Nur
ses’
Hea
lth S
tudy
and
Hea
lth
P
rofe
ssio
nals
Follo
w-u
p S
tudy
955
men
and
wom
en
w
ith c
olor
ecta
l
canc
er; 2
66 c
olor
ecta
l
canc
er – s
peci
fic
de
aths
; 440
dea
ths
fr
om a
ny c
ause
; Mea
n
age
67.1
y; R
ace
or
et
hnic
ity N
R;
di
agno
sis
1980
– 200
4;
in
terv
iew
ed m
edia
n
17 m
o af
ter
diag
nosi
s
Follo
w-u
p of
a
pr
ospe
ctiv
e in
cide
nt
ch
roni
c di
seas
e
coho
rt s
tudy
; med
ian
fo
llow
-up
11.8
y; v
ital
st
atus
by
reco
rd
lin
kage
.
Tum
or s
ite a
nd
st
age;
lim
ited
tr
eatm
ent
data
Sel
f-ad
min
iste
red
qu
estio
nnai
re o
n
dura
tion
and
type
of le
isur
e-tim
e
phys
ical
act
ivity
,
in M
ET-
h/w
k,
du
ring
the
past
wee
k
HR
of
deat
h fr
om a
ny c
ause
for
phys
ical
act
ivity
≥ 18
vs
<
18 M
ET-
h/w
k by
nuc
lear
CTN
NB
1
stat
us =
0.8
6 (9
5% C
I = 0
.55
to 1
.34)
for
posi
tive
and
0.68
(95%
CI =
0.4
2
to 1
.09)
for
neg
ativ
e; P
inter
actio
n =
0.4
7;
H
R o
f C
RC
-spe
cific
dea
th f
or p
hysi
cal
ac
tivity
≥ 18
vs
<18
ME
T-h/
wk
by
nu
clea
r C
TNN
B1
stat
us =
1.0
7 (9
5%
C
I = 0
.50
to 1
.30)
for
pos
itive
and
0.33
(95%
CI =
0.1
3 to
0.8
1) f
or
ne
gativ
e; P
inter
actio
n =
.05;
Adj
uste
d fo
r
stag
e an
d m
ultip
le c
olor
ecta
l can
cer
ris
k fa
ctor
s, in
clud
ing
BM
I.
Non
e no
ted
Tab
le 2
(C
on
tin
ued
).
(Tab
le c
ontin
ues)
at NIH
Library on A
pril 29, 2013http://jnci.oxfordjournals.org/
Dow
nloaded from
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JNCI | Reviews 827jnci.oxfordjournals.orgjnci.oxfordjournals.org JNCI | Review 13
(Tab
le c
ontin
ues)
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
s
Stu
dy
des
ign
, fo
llow
-up
, an
d
ou
tco
me
asse
ssm
ent
Dis
ease
sta
ge
and
tre
atm
ent
dat
aP
hys
ical
act
ivit
y m
easu
re a
nd
tim
ing
Ove
rall
resu
lts
Su
bg
rou
p r
esu
lts
Pro
stat
e ca
ncer
stu
dies
tha
t as
sess
ed p
hysi
cal a
ctiv
ity u
nder
take
n af
ter
diag
nosi
s K
enfie
ld ( 4
5 ),
20
11, U
nite
d
Sta
tes;
Hea
lth
P
rofe
ssio
nals
Follo
w-u
p S
tudy
2705
men
with
pro
stat
e
canc
er; 1
12 p
rost
ate
ca
ncer
– spe
cific
deat
hs; 5
48 d
eath
s
from
any
cau
se;
M
ean
age
69 y
; Rac
e
or e
thni
city
NR
;
diag
nosi
s 19
90 – 2
008;
inte
rvie
wed
med
ian
18
mo
afte
r di
agno
sis
Follo
w-u
p of
a
pr
ospe
ctiv
e in
cide
nt
ca
ncer
coh
ort
stud
y;
m
edia
n fo
llow
-up
9.
7 y;
vita
l sta
tus
by
re
cord
link
age,
fam
ily,
an
d m
edic
al r
epor
t.
Tum
or s
tage
,
Gle
ason
scor
e, a
nd
pr
osta
te-s
peci
fic
an
tigen
;
trea
tmen
t
Sel
f-ad
min
iste
red
bi
enni
al
qu
estio
nnai
re
as
sess
ed f
requ
ency
and
inte
nsity
of
le
isur
e-tim
e w
eekl
y
phys
ical
act
ivity
, in
M
ET-
h/w
k, o
n
aver
age
durin
g th
e
prev
ious
yea
r
RR
of
PC
a-sp
ecifi
c de
ath
for
po
st-d
iagn
osis
phy
sica
l act
ivity
≥ 48
vs <
3 M
ET-
h/w
k =
0.4
2 (9
5%
C
I= 0
.20
to 0
.88)
; P tre
nd =
.04;
Adj
uste
d fo
r st
age,
tre
atm
ent
and
m
ultip
le r
isk
fact
ors
for
pros
tate
canc
er, i
nclu
ding
BM
I and
com
orbi
ditie
s. P
hysi
cally
act
ive
m
en h
ad a
red
uced
ris
k of
all-
caus
e
mor
talit
y ( P
< .0
01).
Non
e no
ted
Ova
rian
canc
er s
tudi
es t
hat
asse
ssed
phy
sica
l act
ivity
und
erta
ken
befo
re d
iagn
osis
Y
ang
( 46 )
, 200
8,
S
wed
en63
5 w
omen
with
ovar
ian
canc
er; 3
96
ov
aria
n
canc
er – s
peci
fic
de
aths
; 440
dea
ths
fr
om a
ny c
ause
; Age
rang
e 50
– 74
y;
pr
edom
inan
tly w
hite
;
diag
nosi
s 19
93 – 1
995;
inte
rvie
wed
mea
n
4.5
mo
afte
r di
agno
sis
Follo
w-u
p of
a
po
pula
tion-
base
d
inci
dent
can
cer
ca
se – c
ontr
ol s
tudy
;
med
ian
follo
w-u
p
8 y;
vita
l sta
tus
by
re
cord
link
age.
FIG
O s
tage
,
grad
eS
elf-
adm
inis
tere
d
ques
tionn
aire
asse
ssed
fre
quen
cy
of
wee
kly
phys
ical
activ
ity, i
n h/
wk,
for
child
hood
, age
18 – 3
0 y,
and
rece
nt y
ears
HR
of
ovar
ian
canc
er-s
peci
fic m
orta
lity
by
pre
-dia
gnos
is p
hysi
cal a
ctiv
ity in
rece
nt y
ears
>2
vs <
1 h/
wk
= 1
.13
(9
5% C
I = 0
.83
to 1
.54)
; P tre
nd =
.34;
Adj
uste
d fo
r st
age
and
mul
tiple
ovar
ian
canc
er r
isk
fact
ors,
but
not
BM
I or
trea
tmen
t. P
hysi
cal a
ctiv
ity
in
chi
ldho
od a
nd a
t ag
es 1
8 – 30
y n
ot
as
soci
ated
with
sur
viva
l with
the
exce
ptio
n of
an
HR
of
0.46
(95%
CI =
0.2
2 to
0.9
8) f
or >
2 h/
wk
of
ph
ysic
al a
ctiv
ity d
urin
g ag
es 1
8 – 30
y.
Non
e no
ted
Moo
rman
( 47 )
,
2011
, Uni
ted
S
tate
s; N
orth
Car
olin
a O
varia
n
Can
cer
Stu
dy
638
wom
en w
ith o
varia
n
canc
er; O
varia
n ca
ncer
–
spec
ific
deat
hs N
R; 2
38
de
aths
fro
m a
ny c
ause
;
Mea
n ag
e 56
.3 y
(sur
vivo
rs);
pred
omin
antly
whi
te; d
iagn
osis
199
9 –
2008
; int
ervi
ewed
at
en
rollm
ent (
afte
r dia
gnos
is)
Follo
w-u
p of
a
po
pula
tion-
base
d
inci
dent
can
cer
ca
se – c
ontr
ol s
tudy
;
med
ian
follo
w-u
p
3.2
y; v
ital s
tatu
s by
reco
rd li
nkag
e.
Tum
ors,
nod
es,
st
age,
and
grad
e; n
o
trea
tmen
t da
ta
Inte
rvie
wer
-adm
inis
tere
d
ques
tionn
aire
asse
ssed
dur
atio
n an
d
freq
uenc
y of
aer
obic
phys
ical
act
ivity
, in
h/
wk,
on
aver
age
du
ring
teen
age
year
s
and
durin
g ea
ch a
ge
de
cade
fro
m t
he
20
s to
70s
HR
of
deat
h by
any
cau
se b
y ae
robi
c
phys
ical
act
ivity
on
year
bef
ore
di
agno
sis
>3
vs <
1 h/
wk
= 0
.90
(9
5% C
I = 0
.58
to 1
.40)
. P v
alue
s
not
prov
ided
. Adj
uste
d fo
r m
ultip
le
ov
aria
n ca
ncer
ris
k fa
ctor
s, in
clud
ing
B
MI.
HR
for
wom
en
w
ith >
2 h/
wk
of
ac
tivity
vs
thos
e
with
≤ 1
h/w
k,
re
stric
ted
to
ca
se p
atie
nts
w
ith B
MI
≤ 3
0 kg
/m 2 :
0.69
(95%
CI =
0.4
7
to 1
.00)
Tab
le 2
(C
on
tin
ued
).
at NIH
Library on A
pril 29, 2013http://jnci.oxfordjournals.org/
Dow
nloaded from
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828 Reviews | JNCI Vol. 104, Issue 11 | June 6, 201214 Review | JNCI Vol. 104, Issue 11 | June 6, 2012
Results We identified 797 unique articles, which were reduced to 67 potentially eligible studies after we applied the inclusion and exclusion criteria to the titles and abstracts ( Figure 1 ). The majority of excluded articles focused on a disease other than cancer or described a study design or a pilot study. After a more careful as-sessment of the remaining articles, we excluded those that reported only quality-of-life outcomes, those that combined physical activity exposure with other factors such as dietary intake, and those that involved only noncancer population samples. After these exclusions, 45 articles remained and were included in the final qualitative synthesis. Of these, 27 were observational studies that reported associations between physical activity and cancer-specific outcomes or all-cause mortality ( 23 – 48 , 60 ) , five were reports from one observational prospective study that addressed the association between physical activity and cancer biomarkers ( 49 – 53 ) , and 13 were reports from 11 unique RCTs that addressed the influence of physical activity on cancer biomarkers ( 54 – 66 ). All of the articles selected for inclusion in this review, with the exception of one ( 23 ), were published after 2000.
Tables 1 and 2 describe observational studies of physical activity and disease and mortality events in breast cancer survivors and in other cancer survivors, respectively. Table 3 presents observational studies of the association between physical activity and biomarkers in cancer survivors. Table 4 summarizes RCTs of physical activity interventions in cancer survivors that had biomarker endpoints. All of the tables are organized chronologically and by cancer site. Articles on the same cohort were grouped together and ordered by the fi rst to be published.
Observational Epidemiological Research on Physical Activity and Cancer-Specific Outcomes and All-Cause Mortality We identified 27 observational epidemiological studies on physical activity and cancer mortality; the majority (n = 17) examined out-comes among breast cancer survivors ( Table 1 ) and the remainder (n = 10) examined outcomes among survivors of colorectal, pros-tate, ovarian, and brain cancers ( Table 2 ). Most of these studies were originally designed as either follow-up studies of healthy cohorts or follow-up studies of case subjects from case – control studies; only four ( 35 , 36 , 41 , 48 ) were designed as prospective cohort studies of cancer survivors. A few studies involved cancer survivors who were enrolled in RCTs that were testing either dietary change ( 22 ) or drug therapy ( 41 ). Most of the 27 studies reported on the association between physical activity before diagnosis and outcomes after diagnosis, such as recurrence or cancer-specific or all-cause mortality.
Breast Cancer. To date, 17 observational studies ( 22 – 38 ) have examined physical activity before and/or after diagnosis and its association with breast cancer – specific and overall survival ( Figure 2 and Table 1 ). Of these 17 studies, five ( 23 , 24 , 26 , 27 , 30 ) were follow-up studies to population-based case – control studies, one was a follow-up to the Women’s Healthy Eating and Living (WHEL) Study, a dietary RCT that also assessed physical activity for which two reports have been published ( 21 , 22 ), and 11 ( 25 , 28 – 33 , 35 – 38 )
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
s
Stu
dy
des
ign
, fo
llow
-up
, an
d
ou
tco
me
asse
ssm
ent
Dis
ease
sta
ge
and
tre
atm
ent
dat
aP
hys
ical
act
ivit
y m
easu
re a
nd
tim
ing
Ove
rall
resu
lts
Su
bg
rou
p r
esu
lts
Mal
igna
nt g
liom
a st
udie
s th
at a
sses
sed
phys
ical
act
ivity
und
erta
ken
afte
r di
agno
sis
Rud
en ( 4
8 ), 2
011,
Uni
ted
Sta
tes
243
men
and
wom
en
w
ith m
alig
nant
glio
ma;
canc
er-s
peci
fic d
eath
s
NR
; 149
dea
ths
from
any
caus
e; M
ean
age
49
y; R
ace
or e
thni
city
NR
; dia
gnos
is y
ears
NR
; int
ervi
ewed
durin
g or
aft
er s
alva
ge
th
erap
y fo
r re
curr
ence
at v
aria
ble
times
aft
er
di
agno
sis
Follo
w-u
p of
a
pr
ospe
ctiv
e ca
ncer
surv
ivor
ship
coh
ort;
med
ian
follo
w-u
p
2.3
y; v
ital s
tatu
s by
med
ical
rec
ord.
Kar
nosf
ky
pe
rfor
man
ce
st
atus
;
trea
tmen
t
Sel
f-ad
min
iste
red
qu
estio
nnai
re
as
sess
ed in
tens
ity,
fr
eque
ncy,
and
dura
tion
of t
ypic
al
ex
erci
se b
ehav
ior,
in M
ET-
h/w
k, s
ince
prim
ary
adju
vant
trea
tmen
t, a
nd a
supe
rvis
ed
6-
mi w
alk
test
HR
of
deat
h by
any
cau
se b
y
post
-dia
gnos
is p
hysi
cal a
ctiv
ity
≥ 9
vs
<9
ME
T-h/
wk
0.64
(95%
CI =
0.4
6 to
0.9
1); P
trend
< .0
01;
A
djus
ted
for
stag
e an
d m
ultip
le
ca
ncer
ris
k fa
ctor
s, b
ut n
ot
tr
eatm
ent
or B
MI.
HR
of
func
tiona
l
capa
city
, as
m
easu
red
by t
he
di
stan
ce w
alke
d
in a
6-m
in w
alk
te
st, f
or
>
489
vs
<
390
m
eter
s =
0.9
7
(95%
CI =
0.6
3
to 1
.48)
,
P =
.870
* B
MI =
bod
y m
ass
inde
x; C
I = c
onfid
ence
inte
rval
; CT
= c
hem
othe
rapy
; ER
= e
stro
gen
rece
ptor
; FIG
O =
Inte
rnat
iona
l Fed
erat
ion
of G
ynec
olog
y an
d O
bste
tric
s; H
R =
haz
ard
ratio
; HT
= h
orm
onal
the
rapy
; M
ET
= m
etab
olic
equ
ival
ents
; NR
= n
ot r
epor
ted;
PR
= p
roge
ster
one
rece
ptor
; RR
= r
elat
ive
risk;
RT
= r
adia
tion
ther
apy.
Tab
le 2
(C
on
tin
ued
).
at NIH
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JNCI | Reviews 829jnci.oxfordjournals.orgjnci.oxfordjournals.org JNCI | Review 15
Tab
le 3
. Ob
serv
atio
nal
stu
die
s o
f th
e as
soci
atio
n b
etw
een
ph
ysic
al a
ctiv
ity
and
bio
mar
kers
in b
reas
t ca
nce
r su
rviv
ors
*
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
s
Ass
ays
and
tim
ing
o
f co
llect
ion
of
bio
spec
imen
s re
lati
ve t
o
dia
gn
osi
sP
hys
ical
act
ivit
y m
easu
re a
nd
tim
ing
Pri
mar
y re
sult
sS
ub
gro
up
res
ult
s
Irw
in ( 4
9 ),
20
05, U
nite
d
Sta
tes;
HE
AL
S
tudy
710
fem
ale
brea
st
ca
ncer
sur
vivo
rs;
m
ean
age
55 y
; 65%
non-
His
pani
c w
hite
;
diag
nose
d 19
95 – 1
998
Insu
lin, I
GFs
, and
lept
in le
vels
;
2 – 3
y af
ter
di
agno
sis
Inte
rvie
wed
2 – 3
y a
fter
dia
gnos
is;
in
terv
iew
er-a
dmin
iste
red
ques
tionn
aire
;
phys
ical
act
ivity
cat
egor
ized
as
light
inte
nsity
(<3
ME
T), m
oder
ate
inte
nsity
(3 – 6
ME
T), o
r vi
goro
us in
tens
ity
(>
6 M
ET)
for
leis
ure-
time
phys
ical
activ
ity 1
– 2 y
aft
er d
iagn
osis
and
repo
rted
as
ME
T-h/
wk
Hig
her
leve
ls o
f ph
ysic
al a
ctiv
ity a
ssoc
iate
d w
ith
lo
wer
leve
ls o
f C
-pep
tide
( P tre
nd =
.13)
and
lept
in
( P
trend
= .0
2), a
nd h
ighe
r le
vels
of
IGF-
1
( P tre
nd =
.018
) and
IGFB
P-3
( P tre
nd =
.017
). A
djus
ted
fo
r st
age,
tre
atm
ent,
and
mul
tiple
bre
ast
canc
er
ris
k fa
ctor
s, in
clud
ing
BM
I.
Non
e no
ted
Irw
in ( 5
0 ),
20
06, U
nite
d
Sta
tes;
HE
AL
S
tudy
474
fem
ale
brea
st
ca
ncer
sur
vivo
rs; a
ge
ra
nge
46 – 6
0 y;
pred
omin
antly
non-
His
pani
c w
hite
;
diag
nose
d 19
95 – 1
998
Mam
mog
raph
ic
de
nsity
; yea
r
befo
re
di
agno
sis
Inte
rvie
wed
6 – 8
mo
afte
r di
agno
sis;
inte
rvie
wer
-adm
inis
tere
d qu
estio
nnai
re;
ph
ysic
al a
ctiv
ity c
ateg
oriz
ed a
s lig
ht
(<
3 M
ET)
, mod
erat
e (3
– 6 M
ET)
, or
vi
goro
us (>
6 M
ET)
inte
nsity
for
leis
ure-
time
phys
ical
act
ivity
in t
he
ye
ar b
efor
e di
agno
sis
and
repo
rted
as M
ET-
h/w
k
Hig
her
leve
ls o
f pr
edia
gnos
is le
isur
e-tim
e ph
ysic
al
ac
tivity
ass
ocia
ted
with
low
er m
amm
ogra
phic
perc
ent
dens
ity ( P
trend
= .3
0). A
djus
ted
for
BM
I
and
mul
tiple
bre
ast
canc
er r
isk
fact
ors
but
not
st
age
or t
reat
men
t.
Res
ults
str
atifi
ed b
y m
enop
ausa
l
stat
us a
nd B
MI s
ugge
st a
stat
istic
ally
sig
nific
ant
decl
ine
in
per
cent
mam
mog
raph
ic
de
nsity
with
incr
easi
ng le
vels
of p
hysi
cal a
ctiv
ity in
post
men
opau
sal w
omen
with
BM
I>30
kg/
m 2
and
stat
istic
ally
sign
ifica
nt in
crea
se in
per
cent
mam
mog
raph
ic d
ensi
ty w
ith
in
crea
sing
leve
ls o
f ph
ysic
al
ac
tivity
in p
rem
enop
ausa
l
wom
en w
ith B
MI<
30 k
g/m
2 . Ir
win
( 51 )
, 200
7,
U
nite
d S
tate
s;
H
EA
L S
tudy
439
fem
ale
brea
st c
ance
r
surv
ivor
s; m
ean
age
61
.5 y
; 70%
non-
His
pani
c w
hite
;
diag
nose
d 19
95 – 1
998
Mam
mog
raph
ic
de
nsity
; 1 – 2
y
af
ter
diag
nosi
s
Inte
rvie
wed
2 – 3
y a
fter
dia
gnos
is;
in
terv
iew
er-a
dmin
iste
red
ques
tionn
aire
;
phys
ical
act
ivity
cat
egor
ized
as
light
(<3
ME
T), m
oder
ate
(3 – 6
ME
T), o
r
vigo
rous
(>6
ME
T) in
tens
ity f
or
le
isur
e-tim
e ph
ysic
al a
ctiv
ity 1
– 2 y
aft
er
di
agno
sis
and
repo
rted
as
ME
T-h/
wk
Hig
her
leve
ls o
f po
st-d
iagn
osis
leis
ure-
time
phys
ical
activ
ity in
pat
ient
s w
ith B
MI <
25 k
g/m
2 as
soci
ated
with
hig
her
mam
mog
raph
ic p
erce
nt d
ensi
ty
( P
trend
= .4
3). A
djus
ted
for
stag
e, t
reat
men
t an
d
mul
tiple
bre
ast
canc
er r
isk
fact
ors,
incl
udin
g B
MI.
Non
e no
ted
Pie
rce
( 52 )
,
2009
, Uni
ted
S
tate
s; H
EA
L
Stu
dy
741
fem
ale
brea
st c
ance
r
surv
ivor
s; m
ean
age
57
.5 y
; 60%
non-
His
pani
c w
hite
;
diag
nose
d 19
95 – 1
998
Circ
ulat
ing
m
arke
rs o
f
infla
mm
atio
n
(CR
P a
nd S
AA
);
31 m
o af
ter
di
agno
sis
Inte
rvie
wed
2 – 3
y a
fter
dia
gnos
is;
in
terv
iew
er-a
dmin
iste
red
ques
tionn
aire
;
phys
ical
act
ivity
cat
egor
ized
as
light
(<3
ME
T), m
oder
ate
(3 – 6
ME
T), o
r
vigo
rous
(>6
ME
T) in
tens
ity f
or
le
isur
e-tim
e ph
ysic
al a
ctiv
ity 1
– 2 y
aft
er
di
agno
sis
and
repo
rted
as
ME
T-h/
wk
Low
er le
vels
of
post
-dia
gnos
is le
isur
e-tim
e
phys
ical
act
ivity
ass
ocia
ted
with
hig
her
leve
ls o
f
CR
P ( P
trend
< .0
01) a
nd S
AA
( P tre
nd <
.001
).
Adj
uste
d fo
r B
MI a
nd s
tage
but
not
tre
atm
ent.
Non
e no
ted
Geo
rge
( 53 )
,
2010
, Uni
ted
S
tate
s; H
EA
L
Stu
dy
746
fem
ale
brea
st c
ance
r
surv
ivor
s; m
ean
age
57
.9 y
; 60%
non-
His
pani
c w
hite
;
diag
nose
d 19
95 – 1
998
Bio
mar
kers
of
in
flam
mat
ion
(CR
P
an
d S
AA
) and
adip
ose-
deriv
ed
ho
rmon
es
(le
ptin
and
adip
onec
tin);
30
mo
afte
r
diag
nosi
s
Inte
rvie
wed
2 – 3
y a
fter
dia
gnos
is;
in
terv
iew
er-a
dmin
iste
red
ques
tionn
aire
;
phys
ical
act
ivity
cat
egor
ized
as
light
(<3
ME
T), m
oder
ate
(3 – 6
ME
T), o
r
vigo
rous
(>6
ME
T) in
tens
ity f
or
le
isur
e-tim
e ph
ysic
al a
ctiv
ity 1
– 2 y
afte
r di
agno
sis
and
repo
rted
as
M
ET-
h/w
k
Am
ong
wom
en w
ho d
id n
ot e
ngag
e in
any
leis
ure
tim
e, h
ighe
r le
vels
of
HE
I, w
hich
ref
lect
s di
et
qu
ality
, was
ass
ocia
ted
with
hig
her
leve
ls o
f C
RP
( P he
tero
gene
ity =
.03)
. By
cont
rast
, am
ong
wom
en w
ho
en
gage
d in
any
leis
ure-
time
phys
ical
act
ivity
, die
t
qual
ity (H
EI)
was
not
ass
ocia
ted
with
CR
P.
A
djus
ted
for
stag
e, t
reat
men
t, a
nd m
ultip
le
br
east
can
cer
risk
fact
ors,
incl
udin
g B
MI.
Non
e no
ted
* B
MI =
bod
y m
ass
inde
x; C
RP
= C
-rea
ctiv
e pr
otei
n; H
EA
L =
Hea
lth, E
atin
g, A
ctiv
ity, a
nd L
ifest
yle;
HE
I = H
ealth
y E
atin
g In
dex;
IGF
= in
sulin
like
grow
th f
acto
r; M
ET
= m
etab
olic
equ
ival
ents
; NR
= n
ot r
epor
ted;
S
AA
= s
erum
am
yloi
d A
.
at NIH
Library on A
pril 29, 2013http://jnci.oxfordjournals.org/
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830 Reviews | JNCI Vol. 104, Issue 11 | June 6, 201216 Review | JNCI Vol. 104, Issue 11 | June 6, 2012
Tab
le 4
. R
and
om
ized
co
ntr
olle
d t
rial
s w
ith
bio
mar
ker
end
po
ints
of
ph
ysic
al a
ctiv
ity
inte
rven
tio
ns
in c
ance
r su
rviv
ors
*
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
sP
rim
ary
end
po
int
Inte
rven
tio
n a
rmC
on
tro
l arm
Att
riti
on
an
d
adh
eren
ce r
ates
an
d m
eth
od
of
adh
eren
ce
mea
sure
men
tR
esu
lts
and
ad
just
men
t o
r st
rati
fica
tio
n
Stu
dies
of
brea
st c
ance
r su
rviv
ors
Faire
y ( 5
4 ),
20
03,
C
anad
a;
Fa
irey
( 55 )
,
2005
,
Can
ada;
Faire
y ( 5
6 ),
20
05,
C
anad
a
53 w
omen
; mea
n
age
59 y
; rac
e or
ethn
icity
NR
;
diag
nose
d
1999
– 200
0
Qua
lity
of li
feA
erob
ic (c
yclin
g) e
xerc
ise
pr
ogra
m; i
nten
sity
VO
2 m
ax
=
70%
– 75%
; 3 t
imes
/wk,
15 w
eeks
, 15 –
35 m
in/s
essi
on;
at
leas
t 6
mo
afte
r pr
imar
y
trea
tmen
t; ±
hor
mon
al
th
erap
y
The
cont
rol g
roup
did
not
part
icip
ate
in a
ny
ex
erci
se p
rogr
am a
nd
w
as a
sked
not
to
begi
n
a st
ruct
ured
exe
rcis
e
prog
ram
Att
ritio
n: 4
.2%
;
Adh
eren
ce:
98
.4%
;
Mon
itore
d by
exer
cise
phys
iolo
gist
Sta
tistic
ally
sig
nific
ant
diff
eren
ces
betw
een
gr
oups
wer
e ob
serv
ed f
or c
hang
es in
IGF-
1
( P =
.045
), IG
FBP
-3 ( P
= .0
21),
IGF:
IGFB
P-3
mol
ar r
atio
( P =
.017
), pe
rcen
t-sp
ecifi
c ly
sis
of
a t
arge
t na
tura
l kill
er c
ell a
t al
l fiv
e
effe
ctor
-to-
targ
et r
atio
s (P
< .0
5 fo
r al
l),
th
e ly
tic a
ctiv
ity p
er c
ell (
P =
.035
), an
d
unst
imul
ated
[ 3 H]t
hym
idin
e up
take
by
pe
riphe
ral b
lood
lym
phoc
ytes
( P =
.007
). N
o
stat
istic
ally
sig
nific
ant
diff
eren
ces
betw
een
gr
oups
wer
e ob
serv
ed f
or c
hang
e in
insu
lin
( P
= .9
41),
gluc
ose
( P =
.824
), in
sulin
resi
stan
ce in
dex
( P =
.247
), or
CR
P ( P
= .0
66).
Sch
mitz
( 57 )
,
2005
, Uni
ted
S
tate
s
81 w
omen
; mea
n
age
53 y
; rac
e or
ethn
icity
NR
;
diag
nose
d
2000
– 200
2
Bod
y fa
t
perc
enta
ge
an
d le
an
bo
dy m
ass
Pro
gres
sive
wei
ght
trai
ning
exer
cise
inte
rven
tion;
prog
ress
ive
indi
vidu
aliz
ed
in
tens
ity; t
wic
e w
eekl
y fo
r
6 m
o (f
or R
CT
outc
omes
),
60 m
in/s
essi
on; i
nitia
ted
at
le
ast
4 m
o af
ter
prim
ary
tr
eatm
ent;
± h
orm
onal
the
rapy
Del
ayed
tre
atm
ent
gr
oup
Att
ritio
n: N
R;
A
dher
ence
:
80%
; Exe
rcis
e
log
mon
itore
d
by f
itnes
s
trai
ner
Sta
tistic
ally
sig
nific
ant
diff
eren
ces
betw
een
gr
oups
wer
e ob
serv
ed f
or c
hang
es in
IGF-
II
( P =
.02)
; No
stat
istic
ally
sig
nific
ant
di
ffer
ence
s be
twee
n gr
oups
wer
e
obse
rved
for
cha
nge
in in
sulin
( P =
.79)
,
gluc
ose
( P =
.90)
, HO
MA
( P =
1.0
0), I
GF-
I
( P =
.16)
, IG
FBP
-1 ( P
= .3
6), I
GFB
P-2
( P =
.30)
, or
IGFB
P-3
( P =
.32)
. Li
gibe
l ( 58
),
2008
, Uni
ted
S
tate
s
101
wom
en; m
ean
ag
e 52
y; r
ace
or
et
hnic
ity N
R;
tr
eatm
ent
20
04 – 2
006
Fast
ing
insu
lin
le
vel
Mix
ed s
tren
gth
and
endu
ranc
e
exer
cise
inte
rven
tion;
mod
erat
e in
tens
ity; 5
0-m
in
st
reng
th t
rain
ing
and
90-m
in
ae
robi
c ex
erci
se/w
k fo
r 16
wk;
afte
r pr
imar
y tr
eatm
ent;
± h
orm
onal
the
rapy
Rec
eive
d ro
utin
e ca
re
fo
r 16
wk
Att
ritio
n: 1
7.8%
;
Adh
eren
ce:
73
%; E
xerc
ise
jo
urna
l
revi
ewed
by
ex
erci
se
ph
ysio
logi
st
No
stat
istic
ally
sig
nific
ant
diff
eren
ces
be
twee
n gr
oups
wer
e ob
serv
ed f
or in
sulin
( P =
.07)
, glu
cose
( P =
.47)
, or
HO
MA
( P =
.09)
.
Pay
ne ( 5
9 ),
20
08, U
nite
d
Sta
tes
20 w
omen
; mea
n
age
65 y
;
pred
omin
antly
whi
te
Neu
roen
docr
ine-
ba
sed
seru
m
le
vels
of
m
etab
olic
regu
lato
ry
ho
rmon
es
Wal
king
; mod
erat
e in
tens
ity;
20
min
, fou
r tim
es/w
k fo
r
14 w
ks; a
fter
tre
atm
ent;
on
ho
rmon
al t
hera
py
Usu
al c
are,
def
ined
as
st
anda
rd in
tera
ctio
n
with
nur
ses,
phys
icia
ns, a
nd s
taff
Att
ritio
n: 2
0%;
A
dher
ence
:
NR
; Exe
rcis
e
log
revi
ewed
by s
tudy
sta
ff
Sta
tistic
ally
sig
nific
ant
diff
eren
ces
betw
een
gr
oups
wer
e ob
serv
ed f
or s
erot
onin
( P =
.009
). N
o st
atis
tical
ly s
igni
fican
t
diff
eren
ces
betw
een
grou
ps w
ere
ob
serv
ed f
or c
ortis
ol ( P
= .1
9), I
L-6
( P
= N
R),
or b
iliru
bin
( P =
.09)
Ir
win
( 60 )
,
2009
, Uni
ted
S
tate
s
75 w
omen
; mea
n
age
56 y
;
pred
omin
antly
non-
His
pani
c w
hite
;
mea
n tim
e si
nce
di
agno
sis
3.3
y
Fast
ing
insu
lin
le
vel
Aer
obic
exe
rcis
e gr
oup
prog
ram
;
mod
erat
e in
tens
ity;
15
0 m
in/w
k fo
r 6
mo;
aft
er
pr
imar
y tr
eatm
ent;
± h
orm
onal
ther
apy
Wom
en in
the
usu
al
ca
re g
roup
wer
e
inst
ruct
ed t
o
cont
inue
with
the
ir
usua
l act
iviti
es
Att
ritio
n: N
R;
A
dher
ence
:
73%
; Exe
rcis
e
and
hear
t ra
te
lo
g re
view
ed
by
exe
rcis
e
phys
iolo
gist
Sta
tistic
ally
sig
nific
ant
diff
eren
ces
betw
een
gr
oups
wer
e ob
serv
ed f
or IG
FBP
-3
( P
= .0
06) a
nd IG
F-1
( P =
.026
).
No
stat
istic
ally
sig
nific
ant
diff
eren
ces
be
twee
n gr
oups
wer
e ob
serv
ed f
or in
sulin
( P =
.089
).
(Tab
le c
ontin
ues)
at NIH
Library on A
pril 29, 2013http://jnci.oxfordjournals.org/
Dow
nloaded from
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JNCI | Reviews 831jnci.oxfordjournals.orgjnci.oxfordjournals.org JNCI | Review 17
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
sP
rim
ary
end
po
int
Inte
rven
tio
n a
rmC
on
tro
l arm
Att
riti
on
an
d
adh
eren
ce r
ates
an
d m
eth
od
of
adh
eren
ce
mea
sure
men
tR
esu
lts
and
ad
just
men
t o
r st
rati
fica
tio
n
Stu
dies
of
colo
rect
al c
ance
r su
rviv
ors
Allg
ayer
( 61 )
,
2004
,
Ger
man
y
23 m
en a
nd w
omen
;
mea
n ag
e 49
y
(in
terv
entio
n ar
m);
ra
ce o
r et
hnic
ity
N
R; a
t le
ast
4 w
k
afte
r pr
imar
y
trea
tmen
t
Bio
mar
kers
of t
he
pr
o- a
nd
an
ti-
infla
mm
ator
y
resp
onse
Aer
obic
exe
rcis
e; s
peci
fic
ty
pe N
R; m
oder
ate
inte
nsity
aero
bic
exer
cise
(55%
– 65%
aero
bic
pow
er);
40 m
in/d
ever
y d
for
2 w
k; a
fter
prim
ary
trea
tmen
t
Low
-inte
nsity
exe
rcis
e
prog
ram
(30%
– 40%
aer
obic
pow
er);
40 m
in/d
ever
y da
y fo
r 2
wk
Att
ritio
n: N
R;
A
dher
ence
:
NR
; EC
G
m
onito
red
Sta
tistic
ally
sig
nific
ant
diff
eren
ces
betw
een
gr
oups
in m
edia
n va
lues
wer
e ob
serv
ed
fo
r IL
-1ra
( P <
.05)
, a p
urpo
rted
mea
sure
of a
nti-i
nfla
mm
ator
y re
spon
se, a
nd f
or t
wo
pu
rpor
ted
mea
sure
s of
the
rat
ios
of
an
ti- t
o pr
o-in
flam
mat
ory
resp
onse
s
repo
rted
as
the
mol
ar r
atio
s of
IL-1
ra t
o IL
-6
( P
< .0
5), a
nd o
f IL
1ra
to IL
-1 ( P
< .0
5). N
o
stat
istic
ally
sig
nific
ant
diff
eren
ces
betw
een
gr
oups
wer
e ob
serv
ed f
or c
ircul
atin
g
cyto
kine
s ( P
val
ue N
R) a
nd a
ntag
onis
ts
( P
val
ue N
R).
Med
ian
rath
er t
han
mea
n
valu
es w
ere
repo
rted
. The
LP
S-s
timul
ated
IL-1
ra r
espo
nse
(a p
urpo
rted
mea
sure
of
in
crea
sed
anti-
infla
mm
ator
y re
spon
se)
in
the
mod
erat
e in
tens
ity e
xerc
ise
grou
p
decr
ease
d fr
om 3
1 53
2.6
(95%
CI =
160
.0
to
70
028.
0 pg
/mL)
to
22 8
92.0
pg/
mL
(9
5% C
I = 6
376.
0 to
34
726.
0 pg
/mL )
afte
r 2
wk
( P <
.05)
. In
cont
rast
, in
the
low
-
inte
nsity
exe
rcis
e gr
oup,
LP
S-s
timul
ated
cyto
kine
s, a
nd a
ntag
onis
ts d
id n
ot c
hang
e
stat
istic
ally
sig
nific
antly
dur
ing
exer
cise
.
Circ
ulat
ing
cyto
kine
s an
d an
tago
nist
s
rem
aine
d un
chan
ged
in b
oth
grou
ps.
Allg
ayer
( 62 )
,
2008
,
Ger
man
y
49 m
en a
nd w
omen
;
mea
n ag
e 58
y;
ra
ce o
r et
hnic
ity
N
R
Oxi
dativ
e
DN
A
da
mag
e
Max
imal
indi
vidu
al a
erob
ic
ex
erci
se p
rogr
am;
hi
gh-in
tens
ity (0
.5 – 0
.6 ×
max
imal
exe
rcis
e ca
paci
ty);
30
– 40
min
/d f
or 2
wk;
aft
er
pr
imar
y tr
eatm
ent
Mod
erat
e in
tens
ity
ae
robi
c ex
erci
se
(0
.3 – 0
.4 ×
max
imal
exer
cise
cap
acity
)
Att
ritio
n: N
R;
A
dher
ence
:
NR
; EC
G
m
onito
red
Sta
tistic
ally
sig
nific
ant
diff
eren
ces
betw
een
gr
oups
wer
e ob
serv
ed f
or u
rinar
y 8-
oxo-
dG
( P
= .0
2). M
edia
n ra
ther
tha
n m
ean
valu
es
w
ere
repo
rted
. Mod
erat
e in
tens
ity
ex
erci
se s
tatis
tical
ly s
igni
fican
tly r
educ
ed
ur
inar
y 8-
oxo-
dG e
xcre
tion
leve
ls f
rom
8.4
7
± 1
.99
to 5
.81
± 1
.45
(in n
g/m
g cr
eatin
ine,
mea
n ±
SE
, P =
.02)
, sug
gest
ing
decr
ease
d
oxid
ativ
e D
NA
dam
age,
whe
reas
high
-inte
nsity
exe
rcis
e re
sulte
d in
a
no
n-st
atis
tical
ly s
igni
fican
t in
crea
se f
rom
5.00
± 1
.31
to 7
.11
± 1
.63
(in n
g/m
g
crea
tinin
e, P
= .1
8).
Tab
le 4
(C
on
tin
ued
).
(Tab
le c
ontin
ues)
at NIH
Library on A
pril 29, 2013http://jnci.oxfordjournals.org/
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nloaded from
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832 Reviews | JNCI Vol. 104, Issue 11 | June 6, 201218 Review | JNCI Vol. 104, Issue 11 | June 6, 2012
Firs
t au
tho
r (r
efer
ence
),
year
, co
un
try
Sam
ple
ch
arac
teri
stic
sP
rim
ary
end
po
int
Inte
rven
tio
n a
rmC
on
tro
l arm
Att
riti
on
an
d
adh
eren
ce r
ates
an
d m
eth
od
of
adh
eren
ce
mea
sure
men
tR
esu
lts
and
ad
just
men
t o
r st
rati
fica
tio
n
Stu
dies
of
gast
ric c
ance
r su
rviv
ors
Na
( 63 )
, 200
0,
K
orea
35 m
en a
nd w
omen
;
mea
n ag
e 57
.8 y
(inte
rven
tion
arm
);
race
or
ethn
icity
NR
Nat
ural
kill
er
ce
ll cy
toto
xic
ac
tivity
Ran
ge o
f m
otio
n an
d st
reng
th
ex
erci
ses
in b
ed im
med
iate
ly
af
ter
surg
ery,
pro
gres
sing
to
ar
m a
nd b
icyc
le e
rgom
eter
begi
nnin
g on
day
2 a
fter
surg
ery
for
14 d
, 30
min
/d;
in
tens
ity 6
0% o
f m
axim
al
he
art
rate
; 2 t
imes
/d,
5
times
/wk;
aft
er s
urge
ry
No
exer
cise
Att
ritio
n: N
R;
A
dher
ence
:
NR
;
Sup
ervi
sed
ac
tivity
Sta
tistic
ally
sig
nific
ant
diff
eren
ce b
etw
een
gr
oups
was
obs
erve
d fo
r m
ean
natu
ral
ki
ller
cell
cyto
toxi
c ac
tivity
( P <
.05)
.
Stu
dies
of
pros
tate
can
cer
surv
ivor
s
S
egal
( 64 )
,
2003
, Can
ada
155
men
; mea
n ag
e
68 y
; rac
e or
ethn
icity
NR
; 2 y
afte
r di
agno
sis
Fatig
ue a
nd
di
seas
e-
spec
ific
qu
ality
of
life
Res
ista
nce
exer
cise
tra
inin
g;
60
% – 7
0% o
f on
e-R
M
in
tens
ity; 3
tim
es/w
k fo
r
12 w
k; d
urin
g tr
eatm
ent
(AD
T)
Off
ered
exe
rcis
e ad
vice
afte
r in
terv
entio
n ar
m
co
mpl
eted
12-
wk
tr
aini
ng
Att
ritio
n: 1
2.9%
;
Adh
eren
ce:
79
%;
S
uper
vise
d
activ
ity
No
stat
istic
ally
sig
nific
ant
diff
eren
ces
be
twee
n gr
oups
wer
e ob
serv
ed f
or P
SA
( P =
.31)
and
tes
tost
eron
e ( P
= .2
4).
Seg
al ( 6
5 ),
20
09, C
anad
a12
1 m
en; m
ean
age
66
y; r
ace
or
et
hnic
ity N
R
Fatig
ueR
esis
tanc
e or
aer
obic
exe
rcis
e
prog
ram
; res
ista
nce
trai
ning
,
8 – 12
rep
etiti
ons:
60%
– 70%
1 R
M; a
erob
ic t
rain
ing
to
70
% – 7
5% p
eak
VO
2
prog
ress
ing
15 – 4
5 m
in/w
k
for
24 w
ks; d
urin
g tr
eatm
ent
(r
adio
ther
apy)
Usu
al c
are
part
icip
ants
wer
e as
ked
not
to
in
itiat
e ex
erci
se a
nd
w
ere
offe
red
a
prog
ram
aft
er t
he
in
terv
entio
n ar
m
co
mpl
eted
all
as
sess
men
ts
Att
ritio
n: 7
.4%
;
Adh
eren
ce:
88
%;
S
uper
vise
d
activ
ity
No
stat
istic
ally
sig
nific
ant
diff
eren
ces
be
twee
n gr
oups
wer
e ob
serv
ed f
or P
SA
( P =
.181
), te
stos
tero
ne ( P
= .7
28),
and
he
mog
lobi
n ( P
= .4
37).
Gal
vao
( 66 )
,
2009
,
Aus
tral
ia
57 m
en; m
ean
ag
e 69
.5 y
(inte
rven
tion
arm
);
race
or
ethn
icity
NR
Who
le b
ody
an
d re
gion
al
le
an m
ass
Com
bine
d re
sist
ance
exe
rcis
e
prog
ram
; res
ista
nce
trai
ning
(12-
to
6-R
M) f
or t
wo
to f
our
se
ts p
er e
xerc
ise
and
aero
bic
tr
aini
ng (1
5 – 20
min
of
ca
rdio
vasc
ular
exe
rcis
es a
t
65%
– 80%
max
imum
hea
rt
ra
te);
twic
e/w
k fo
r 12
wk;
durin
g tr
eatm
ent
(AD
T)
Usu
al c
are
Att
ritio
n: 1
.8%
;
Adh
eren
ce:
94
%;
S
uper
vise
d
activ
ity
Sta
tistic
ally
sig
nific
ant
diff
eren
ces
betw
een
gr
oups
wer
e ob
serv
ed f
or C
RP
( P =
.008
).
No
stat
istic
ally
sig
nific
ant
diff
eren
ces
be
twee
n gr
oups
wer
e ob
serv
ed f
or
te
stos
tero
ne ( P
= .1
39),
PS
A ( P
= .6
90),
ch
oles
tero
l ( P
t = .7
11),
trig
lyce
rides
( P =
.951
), in
sulin
( P =
.435
), an
d
hom
ocys
tein
e ( P
= .5
97).
* A
DT
= a
ndro
gen
depr
ivat
ion
ther
apy;
BM
I = b
ody
mas
s in
dex;
CI =
con
fiden
ce in
terv
al; C
RP
= C
-rea
ctiv
e pr
otei
n; E
CG
= e
lect
roca
rdio
grap
hy; H
OM
A =
hom
eost
asis
mod
el a
sses
smen
t; IG
F =
insu
linlik
e gr
owth
fa
ctor
; IG
FBP
= in
sulin
like
grow
th f
acto
r bi
ndin
g pr
otei
n; L
PS
= li
popo
lysa
ccha
ride;
NR
= n
ot r
epor
ted;
PS
A =
pro
stat
e-sp
ecifi
c an
tigen
; RM
= r
epet
ition
max
imum
; SA
A =
ser
um a
myl
oid
A; V
O 2
= a
erob
ic c
apac
ity.
Tab
le 4
(C
on
tin
ued
).
at NIH
Library on A
pril 29, 2013http://jnci.oxfordjournals.org/
Dow
nloaded from
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JNCI | Reviews 833jnci.oxfordjournals.orgjnci.oxfordjournals.org JNCI | Review 19
were prospective cohort studies. Of these 11 cohort studies, the Health, Eating, Activity, and Lifestyle (HEAL) Study ( 35 ) and the Life After Cancer Epidemiology (LACE) Study ( 36 ) were cohort studies of cancer survivors. The cohort size ranged from 451 to 4826. The number of breast cancer – specific deaths ranged from 102 to 398. The number of deaths from any cause ranged from 146 to 725. These studies included breast cancer survivors who were diagnosed from the mid-1970s to 2006. The median follow-up time ranged from approximately 3 years to 13 years. Most of these studies were conducted among predominantly non-Hispanic white populations, five ( 24 , 25 , 31 , 36 , 38 ) included nonwhite populations as a subset of the population, and one study ( 37 ) was done in a Chinese population. The studies generally included women who were diagnosed with invasive nonmetastatic breast cancer and followed up for survival outcomes; some studies ( 22 , 27 ) also examined breast cancer progression, recurrence, and new primary cancers.
Physical activity was assessed by interviewer-administered questionnaires in fi ve case – control studies ( 23 , 24 , 26 , 27 , 34 ) and three cohort studies ( 25 , 35 , 37 ) and by self-administered question-naires in the remaining nine cohort studies ( 22 , 28 – 33 , 36 , 38 ). Nine studies ( 23 – 31 ) assessed physical activity before diagnosis, six cohort studies ( 22 , 32 , 34 – 37 ) assessed physical activity after diag-nosis, and in two cohorts — the Nurses ’ Health Study ( 33 ) and the Women ’ s Health Initiative ( 38 ) — physical activity was assessed before and after diagnosis. Recreational or leisure- time physical activity was the primary focus of most of the observational studies, and only two studies ( 27 , 36 ) measured all types of physical activity. In these studies, a range of metrics was used to report physical activity, including kilocalories per week ( 23 ), hours per week ( 24 , 26 , 30 ), relative units of physical activity per week ( 25 ), meta-bolic equivalent (MET )- hours per week per year ( 27 ), hours per week per year ( 28 ), MET- hours per week ( 22 , 31 , 33 , 34 , 36 – 38 , 60 ), a categorical qualitative descriptor of sedentary vs hard recreational activity ( 29 ), and times per week ( 32 ). The reference groups varied
Figure 2 . Forest plot of risk estimates from observational studies of physical activity and mortality outcomes in breast cancer survivors. Black circles indicate hazard ratios (HRs), and solid horizontal lines represent 95% confi dence intervals (CIs). The vertical dotted line indicates point of unity.
across all of these studies, as did the cut points for the highest category of physical activity.
In these studies, results for breast cancer – specifi c and all-cause mortality were generally reported separately. Three studies ( 23 , 24 , 32 ) presented results for breast cancer – specifi c mortality only and two studies ( 25 , 31 ) presented results for all-cause mor-tality only. None of the studies reported that higher levels of activity were associated with an increased risk of breast cancer death or death from any cause. For breast cancer – specifi c mortality, four studies ( 22 , 23 , 30 , 32 ) reported no association with physical activity, seven studies ( 24 – 27 , 29 , 35 , 36 ) observed non – statistically signifi cant decreased risks that ranged from 13% to 51% when comparing the highest with the lowest activity categories, and six studies ( 21 , 28 , 33 , 34 , 37 , 38 ) observed statistically signifi cant decreased risks of breast cancer mortality that ranged from 41% to 51%. With regard to the association between physical activity and all-cause mortality, two studies ( 30 , 31 ) reported null fi ndings; fi ve studies ( 25 – 27 , 29 , 36 ) reported non – statistically signifi cant reduced risks, and seven studies ( 22 , 28 , 33 – 35 , 37 , 38 ) reported statistically signifi cant reduced risks. Only six studies presented results that were fully adjusted for stage, breast cancer treatments, BMI, and other breast cancer risk factors ( 27 , 30 , 33 , 34 , 36 , 37 , 60 ). The remaining studies most frequently were missing data on treatments and only adjusted for stage and breast cancer risk factors. Six studies ( 21 , 31 , 33 , 34 , 37 , 38 ) observed a statistically signifi cant dose – response effect between increasing physical activity and decreasing breast cancer mortality.
Twelve studies ( 23 , 25 , 27 – 34 , 38 , 60 ) conducted analyses to examine which subgroups of the breast cancer study population might benefi t most from physical activity. The factors examined in these subgroup analyses were menopausal status ( 23 , 27 , 29 , 30 , 32 , 33 , 35 , 37 ), obesity as assessed by BMI ( 25 , 27 – 29 , 31 , 33 , 34 , 37 , 38 ), tumor stage ( 27 , 28 , 33 , 34 , 38 ), hormone receptor status ( 27 , 28 , 31 , 33 , 38 ), comorbidities ( 27 , 37 ), and race or ethnicity ( 31 ). Overall, there was little evidence for effect modifi cation by these factors.
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834 Reviews | JNCI Vol. 104, Issue 11 | June 6, 201220 Review | JNCI Vol. 104, Issue 11 | June 6, 2012
Figure 3 . Forest plot of risk estimates from observational studies of physical activity and mortality outcomes in survivors of cancers other than breast cancer. Black circles indicate hazard ratios (HRs), and solid horizontal lines represent 95% confi dence intervals (CIs). The vertical dotted line indicates point of unity.
However, there was some evidence, albeit inconsistent, for effect modifi cation by BMI. In the cohort study conducted by Abrahamson et al. ( 25 ), there was a strong association between physical activity and survival among women with a BMI of 25 kg/m 2 or higher, whereas the Norwegian cohort study by Emaus et al. ( 29 ) observed a strong association between physical activity and survival among women with a BMI less than 25 kg/m 2 , and in the Women’s Health Initiative, Irwin et al. ( 38 ) reported a strong association in women with a BMI less than 30 kg/m 2 . There was some limited evidence for effect modifi cation by hormone receptor status; three studies ( 31 , 33 , 35 ) reported a greater benefi t of physical activity among women with hormone receptor – positive tumors. No studies assessed the potential confounding effects of the rate of completion of primary therapy (ie, radiation, chemotherapy) or of adherence to hormonal (ie, tamoxifen, aromatase inhibitors) or biological (eg, traztuzamab) therapies.
In summary, there is fairly consistent evidence that physical activity either before or after breast cancer diagnosis is associated with a reduction in both breast cancer – specifi c mortality and overall mortality, and there is some evidence suggesting a dose – response effect of increasing risk reduction with increasing activity levels. The studies to date have inconsistently controlled for confounding by important predictors of survival; however, some investigators have begun to consider effect modification by stage, hormone receptor status, BMI, or comorbidity.
Other Cancers. Ten observational studies ( 39 – 48 ) have reported on the association between physical activity and cancer-specific and all-cause mortality among survivors of cancers other than breast cancer ( Figure 3 and Table 2 ). Thus far, there have been six articles on colorectal cancer from four different cohorts including one article from a drug treatment trial for colorectal cancer ( 39 – 44 ), one article on prostate cancer ( 45 ), two articles on ovarian cancer ( 46 , 47 ), and one article on malignant glioma ( 48 ). Sample sizes in these observational studies ranged from 243 for the study on malignant glioma ( 48 ) to 2708 for the study on prostate cancer ( 45 ), and six of 10 studies included approximately 500 – 700 survivors . The number of cancer-specific deaths reported in these studies ranged from 80 to 396 , and the number of deaths from any
cause ranged from 84 to 548. Seven of the 10 studies did not report race or ethnicity; the three that did ( 41 , 46 , 47 ) predominantly included non-Hispanic white cancer survivors. Most of the cancers were diagnosed from the early 1990s to the early 2000s; two studies ( 43 , 45 ) included cancers that were diagnosed as late as 2008. The median follow-up time ranged from approximately 2 to 12 years. Six studies ( 39 , 40 , 42 – 45 ) were designed as a follow-up study of cancer survivors identified within a prospective cohort study of cancer incidence, two ( 46 , 47 ) were follow-up studies of incident cancer survivors identified from a case – control study, one ( 48 ) was a prospective cohort of cancer survivors, and one ( 41 ) was a prospective cohort study of survivors who were enrolled in a randomized adjuvant chemotherapy trial. Seven studies ( 40 – 45 , 48 ) examined the associations for physical activity after diagnosis. In most of these studies, analyses were based on physical activity data reported by the patient 1 – 2 years after their diagnosis. The refer-ence period for the assessment of physical activity, when reported, ranged from the preceding week ( 44 ) to the preceding year ( 40 , 45 ). Physical activity data were based on self-administered question-naires in eight studies ( 40 – 46 , 48 ) and on interview-administered questionnaires in two studies ( 39 , 47 ). Most studies assessed leisure-time or recreational physical activity but used a number of different cut points for defining active vs inactive groups. Several studies ( 40 – 42 , 45 ) used less than 3 MET-h / wk as the cut point for the referent (ie, inactive or less active) group, whereas other studies used cut points of less than 9 ( 48 ) or less than 18 ( 43 , 44 ) MET-h /wk ; the higher cut points were often used for subgroup analyses. All but four studies ( 45 – 48 ) reported on both cancer-specific and all-cause mortality. In most studies, the reported associations were based on multivariable models that adjusted for stage and cancer-specific risk factors, and roughly half of the studies further adjusted for BMI. Few studies adjusted for treatment type or rate of com-pletion of primary therapy, although among the nine studies that adjusted for stage ( 39 – 46 , 48 ), a few ( 42 , 44 ) noted in the discussion section of their reports that stage and type of treatment were highly correlated and that adjustment for treatment rather than stage did not alter the results.
Of the six studies of colorectal cancer survivors, one ( 40 ) was based on the Nurses’ Health Study and involved only women, an-
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other ( 42 ) was based on the Health Professionals Study and involved only men, and the remaining four studies included both men and women ( 39 , 41 , 43 , 44 ). All of these studies examined leisure- time physical activity , and all but one ( 39 ) adjusted for stage, colorectal cancer risk factors, and BMI. Three studies ( 40 – 42 ) found that physical activity after diagnosis was associated with statistically signifi cant reduced risks of colorectal cancer – specifi c mortality ranging from 45% to 61%; in these studies, the tests for trend were statistically signifi cant, indicative of a dose – response relationship . In the one study that reported on physical activity both before and after diagnosis ( 40 ), physical activity before diag-nosis was not associated with statistically signifi cant reduced risks of all-cause and colorectal cancer – specifi c mortality. All fi ve studies that examined physical activity after colorectal cancer diag-nosis found that post-diagnosis activity was associated with reduced risks of death from any cause ( 40 – 44 ); four of those studies reported statistically signifi cant risk reductions ranging from 23% to 63% ( 40 – 43 ). Two recent studies ( 43 , 44 ) examined whether the association between physical activity and mortality outcomes differed by specifi c molecular tumor markers. One study ( 44 ) examined the association between physical activity and survival among 484 male and female colorectal cancer survivors who were stratifi ed by subcellular localization of cadherin-associated protein B1 (CTNBB1), a marker of Wnt signaling pathway activation. This study found that physical activity was associated with better colorectal cancer – specifi c survival only among survivors who were negative for nuclear CTNNB1 (ie, lacked activation of Wnt sig-naling pathway). The other study ( 43 ) examined a number of dif-ferent tumor markers and found that among survivors with tumors that expressed p27, physical activity was associated with better colon cancer – specifi c survival , whereas survivors with tumors that lacked p27 expression had worse colon cancer – specifi c survival. By contrast, tumor expression of other proteins did not infl uence the association between physical activity and colon cancer – specifi c or all-cause mortality.
The only published study of physical activity and prostate cancer survival ( 45 ) involved 2705 Health Professionals Study participants and included 112 deaths from prostate cancer and 548 deaths from any cause. This study found that increasing levels of physical activity after diagnosis were associated with statistically signifi cant reductions in both all-cause and prostate cancer – specifi c mortality after adjustment for stage, treatment, colorectal cancer risk factors, BMI, and comorbidities; the test for trend was indicative of a dose – response relationship for both all-cause and prostate cancer – specifi c mortality.
Two studies on ovarian cancer survivors that examined the association between physical activity before diagnosis and ovarian cancer – specifi c mortality ( 46 ) or all-cause mortality ( 47 ) found no statistically signifi cant associations. However, some suggestive associations were reported in subgroup analyses. For example, among women who had early-stage disease (International Federation of Gynecology and Obstetrics [FIGO] stage I and II), those who reported more than 2 h /wk of physical activity at 18 – 30 years of age had a statistically signifi cant reduced risk of death from ovarian cancer compared with those who reported less than 1 h /wk of physical activity ( 46 ). In addition, a borderline statisti-cally signifi cant 31% reduction in the risk of death from any
cause was observed for nonobese women (defi ned as those with a BMI ≤ 30 kg/m 2 ) who reported more than 2 hours of physical activity per week compared with those with 1 hour or less per week ( 47 ).
A study of physical activity and recurrent malignant glioma found that 9 or more MET-h /wk of activity was associated with a reduced risk of death from any cause compared with fewer than 9 MET-h /wk ; the test for trend was statistically signifi cant ( 48 ). This study found no association between survival and functional capacity measured by a 6-minute walk test at the time of the inter-view. In this study, physical activity was assessed at one time point that occurred at varying times after the diagnosis of recurrence depending on when patients were interviewed; information was not provided on more specifi c timing of the assessment of physical activity relative to diagnosis of cancer recurrence.
Associations between Physical Activity and Biomarkers in Observational Epidemiological Studies of Cancer Survivors The HEAL Study ( 49 – 53 ) is the only observational cohort study to date that has examined the association between physical activity and biomarkers relevant to cancer and the relationship between lifestyle, biomarkers, and breast cancer – specific survival ( Table 3 ). HEAL study participants completed physical activity and other assessments and provided blood samples at 6 – 8 months and 2 – 3 years after diagnosis. All but one of the studies ( 50 ) was based on the assessment done at 2 – 3 years after diagnosis. These studies examined biomarkers of insulin production (ie, C-peptide), insu-lin-related metabolism, and associated protein carriers; leptin; and inflammatory markers, including C-reactive protein (CRP) and serum amyloid A. Associations between physical activity and objec-tive measures of mammographic breast density based on mammo-grams taken either 1 year before or 1 – 2 years after diagnosis were also investigated. The reports from this cohort included sample sizes that ranged from 439 ( 51 ) to 746 ( 53 ), depending on how many subjects had available data for a specific analysis. The physical activity measure used for these studies was based on recreational physical activity.
The HEAL study has reported statistically signifi cant inverse associations between physical activity and circulating levels of leptin, insulinlike growth factor 1 (IGF-1), and CRP ( 49 ). No associations were found for mammographic breast density, C-peptide, insulinlike growth factor binding protein-3 (IGFBP-3), the ratio of IGF-1 to IGFBP-3, or serum amyloid A ( 49 – 51 ).
The Influence of Physical Activity Interventions in RCTs on Selected Biomarkers Eleven RCTs and 13 articles have examined the effects of physical activity interventions on biomarkers of cancer prognosis among cancer survivors ( Table 4 ). Five RCTs ( 54 – 60 ) were conducted among breast cancer survivors, three ( 64 – 66 ) among prostate can-cer survivors, two ( 61 , 62 ) among colorectal cancer survivors, and one ( 63 ) among gastric cancer survivors. Sample sizes ranged from 20 to 155, and the mean number of participants was 70. Few studies reported on race or ethnicity. All participants in the studies of breast and colorectal cancer survivors had completed primary treatment for their cancer (except for breast cancer survivors, who
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could be taking hormonal therapies). The study of gastric cancer survivors was conducted in the 2 weeks immediately after curative surgery ( 63 ), whereas all three studies of men with prostate cancer were conducted while the men were receiving androgen depriva-tion therapy or radiotherapy ( 64 – 66 ).
Regarding the mode of physical activity intervention, six studies ( 54 – 56 , 59 – 63 ) tested aerobic activity programs, two ( 57 , 64 ) tested resistance training programs, two ( 58 , 66 ) tested combined aerobic and resistance exercise interventions, and one ( 65 ) consisted of a three-arm trial testing aerobic or resistance exercise vs usual care. Most aerobic activity interventions allowed participants to choose the type of aerobic exercise. Aerobic exercise interventions varied considerably, although most were of moderate intensity and ranged from 20 to 45 minutes per session for 2 – 4 d /wk . The length of the intervention ranged from 2 weeks ( 61 – 63 ) to 12 months ( 57 ). In the seven studies that reported adherence to the prescribed exercise program ( 54 – 58 , 60 , 64 – 66 ), adherence rate ranged from 73% to 98%, and the mean adherence rate was 84%. In the six studies that reported attrition ( 54 – 56 , 58 , 59 , 64 – 66 ), the attrition rate ranged from 2% to 20%, and the mean attrition rate was 11%. In five ( 58 – 62 ) of the 11 trials, biomarkers were the specified primary endpoints.
The breast cancer RCTs evaluated the effects of physical activity on three sets of biomarkers: the insulin pathway, infl am-mation, and cell-mediated immunity ( 54 – 60 ). Four ( 54 – 58 , 60 ) of the fi ve studies assessed the effects of physical activity on circu-lating levels of insulin, IGF-1, or IGF-1 binding proteins. All four of these studies reported statistically signifi cant or marginally statistically signifi cant changes in some biomarkers of the insulin pathway; however, these changes were not consistently statistically signifi cant across studies or across insulin-related biomarkers within the same study. There was a suggestion that the effects of physical activity on the insulin pathway may be more pronounced for obese or sedentary women (eg, those with higher serum insulin levels at baseline). Specifi cally, participants in the two studies that observed the largest effect sizes ( 58 , 60 ) were more obese and sedentary than participants in the other studies. There was also a suggestion that physical activity may be more effective at modi-fying serum IGF-1 levels in women who are not taking tamoxifen. Specifi cally, of all the studies reviewed here, the study reporting the largest effect size with regard to physical activity and serum IGF-1 level was the one conducted by Irwin et al. ( 60 ). This study also had the lowest percentage of women on tamoxifen, which is known to reduce the serum level of IGF-1 ( 67 ). Two of the breast cancer studies evaluated biomarkers of infl ammation, and the results of these studies were mixed: Fairey et al. ( 55 ) reported a marginal effect of physical activity in terms of decreasing circu-lating levels of CRP, whereas Payne et al. ( 59 ) reported no effect of physical activity on circulating levels of interleukin 6. Finally, there was a suggestion that physical activity may result in benefi cial changes in circulating levels of markers of cell-mediated immunity: Fairey et al. ( 56 ) reported that physical activity led to statistically signifi cant improvements in natural killer cell cytotoxic activity, total lytic units, and spontaneous lymphocyte proliferation.
In the three RCTs of men with prostate cancer, physical activity was evaluated as a treatment for fatigue ( 64 , 65 ) or as a means to reverse declines in lean body mass and increases in fat
mass resulting from androgen deprivation therapy ( 66 ). In these studies, biomarkers were evaluated mainly to ensure that physical activity could be used to treat these conditions without adversely affecting prostate cancer progression. The biomarkers that were examined included circulating levels of testosterone, prostate-specifi c antigen (PSA), insulin, glucose, and CRP. All three studies evaluated circulating levels of testosterone and PSA, and none found statistically signifi cant effects of physical activity on these biomarkers. Similarly, Galvao et al. ( 66 ) evaluated the effect of a combined strength and aerobic training program on circulating levels of insulin and glucose and found no statistically signifi cant effects. Galvao et al. ( 66 ) also evaluated the effects of this intervention on circulating levels of CRP; they found that over 12 weeks after baseline, CRP decreased in the exercise group and increased in the control group and that the magnitude of the difference in the mean CRP values between the two study arms was both clinically and statistically signifi cant.
The two RCTs of colorectal cancer survivors tested the effects of short-term (2-week) physical activity interventions of different intensities on biomarkers of the pro- and anti-infl ammatory response ( 61 ) and on oxidative DNA damage ( 62 ). Allgayer et al. ( 61 ) found that moderate-intensity physical activity reduced cir-culating levels of lipopolysaccharide-stimulated interleukin-1 receptor antagonist, indicating a switch to a more infl ammatory state after an immune challenge, whereas low-intensity physical activity did not. More recently, Allgayer et al. ( 62 ) showed that moderate-intensity physical activity decreased urinary 8-oxo-2 ′ -deoxyguanosine excretion, a biomarker of oxidative DNA damage and, likely, of tumor progression ( 68 ), whereas high-intensity physical activity resulted in a non – statistically signifi cant increase in oxidative DNA damage as measured by the same biomarker.
The only RCT conducted among gastric cancer survivors tested the effects of a 2-week aerobic exercise program on natural killer cell cytotoxicity ( 63 ). This study reported statistically signif-icantly higher natural killer cell cytotoxicity in the exercise group vs the control group.
Discussion Research on physical activity and all-cause and cancer-specific mortality as well as research on potential mechanisms of these associations among cancer survivors is relatively new, and the majority of studies have been published since 2009. Although most of the research has focused on breast cancer survivors, some has encompassed survivors of colon, prostate, gastric, ovarian, and brain cancer. The strongest evidence for an association between physical activity and cancer outcomes comes from studies of breast cancer survivors. Nearly all of the breast cancer studies report that physical activity is associated with a reduction in breast cancer – specific mortality as well as all-cause mortality; this risk reduction was statistically significant in nearly half of these studies, and there is evidence for a dose – response effect of decreasing mortality risk with increasing activity in roughly half of the studies.
The next strongest evidence for an association between physical activity and disease outcomes for survivors of other cancer sites has been found for cancer-specifi c and all-cause mortality in colorectal cancer survivors ( 39 – 44 ). This evidence was suffi ciently compelling
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to justify the fi rst ever randomized controlled exercise intervention trial among colon cancer survivors ( 14 ). The Colon Health and Life Long Exercise Change (CHALLENGE) Trial is currently randomly assigning 963 survivors of stage II or III colon cancer who are within 6 months of completing adjuvant therapy to an aerobic exercise intervention or a control group that received gen-eral health education materials. Both groups received follow-up care at the participating cancer center. The intervention consists of 3 years of combined supervised and unsupervised aerobic activity and a behavioral support program. This multicenter trial involves centers from across Canada and Australia and includes a wide range of clinical, behavioral, lifestyle, and biological endpoints. The main outcomes of the study, which include disease-free and overall survival, will be assessed after a planned 10-year follow-up. For the remaining cancer sites, the evidence is still insuffi cient to make any conclusions about the strength, consistency, and dose – response relationship between physical activity and cancer survival.
Observational epidemiological research of associations between physical activity and biomarkers is limited to the Health, Eating, Activity, and Lifestyle Study, a multiethnic prospective cohort of breast cancer survivors ( 49 – 53 ). The studies within that cohort found statistically signifi cant associations between physical activity and circulating levels of leptin, IGF-1 , and CRP, but not between physical activity and IGFBP-3, serum amyloid A, or mammo-graphic density.
Overall, the results of exercise RCTs with biomarker endpoints suggest that exercise may result in benefi cial changes in circulating levels of insulin, IGF-1, and IGF-1 binding proteins in breast cancer survivors. There is also evidence that exercise leads to benefi cial changes in circulating levels of CRP and in natural killer cell cytotoxicity in cancer survivors. In prostate cancer survivors, there is consistent evidence that exercise does not alter PSA or testosterone levels. Evidence for other biomarkers is limited or nonexistent.
Given the paucity of data on physical activity and cancer-specifi c mortality in cancer survivors, several limitations of the extant literature should be considered. Very few observational studies have included measures of physical activity both before and after cancer diagnosis, and, as is the case in most observational research on physical activity and disease outcomes, in no study has the physical activity measure included a full assessment of all types and doses of activity. None of the studies of physical activity and disease outcomes in cancer survivors have included the use of an objective measure of activity, such as an accelerometer. Furthermore, no studies to date have been published on the asso-ciation between sedentary behavior and cancer-specifi c or all-cause mortality in cancer survivors.
The research to date on physical activity and disease outcomes in cancer survivors has a number of issues that limit our ability to make specifi c recommendations related to changes in physical activity that may be benefi cial to outcomes such as recurrent cancer or mortality outcomes. Given the diverse methods used to assess physical activity in the studies included in this review, it is not yet possible to extrapolate specifi c recommendations from the fi ndings regarding the exact type, dose, and timing of physical activity required to reduce mortality after a cancer diagnosis. In addition,
the studies have not consistently controlled for important con-founders of the association between physical activity and survival. For example, it is possible that confounding by subclinical meta-static disease may have occurred, which could have manifested as increased fatigue and less interest and ability to undertake regular activity. Few studies have had a suffi cient number of outcomes to allow for an assessment of effect modifi cation among specifi c sub-groups of survivors defi ned by tumor type or patient or treatment characteristics that may infl uence mortality. Most of these studies excluded survivors with metastatic disease; hence, the infl uence of physical activity on survival in this patient subgroup is currently unknown. Similarly, there have been no studies on cancer survivors who were diagnosed as children and young adults, who theoreti-cally might be better able to exercise compared with older cancer survivors but for whom there may be long-term treatment-related cardiac effects that limit their ability to undertake regular physical activity. Likewise, few studies have included different racial or ethnic groups. A common approach to increase the statistical power to examine whether or not results differ among subgroups is to pool the data across studies. However, pooling data related to physical activity is diffi cult because of the differences in the timing and the method of assessing physical activity in these studies. Finally, very few observational studies have combined epidemio-logical and biological data to examine the associations between physical activity and biomarkers among cancer survivors.
Existing RCTs that report the effects of a physical activity intervention on cancer biomarkers also have limitations that temper the conclusions that can be made. Many of these limitations relate to the fact that most RCTs of exercise were not designed to examine biomarkers as the primary endpoints. Including biomarkers as an outcome in a trial can affect many aspects of trial design, such as the selection of participants, the sample size, the type of bio-markers assessed, and the type, volume, intensity, and length of the exercise intervention. Only one study ( 58 ) provided sample size calculations to demonstrate that it had suffi cient statistical power to detect differences in biomarkers between study arms. The limited number of RCTs did not allow us to assess whether the effect of physical activity on biomarkers differs by the type (eg, aerobic vs resistance) or dose of physical activity.
Study limitations that should be addressed in future research include better exposure assessment, increased statistical power, and consideration of population subgroups and cancer subtypes. More research is needed to understand the benefi ts of maintaining or adopting physical activity after a cancer diagnosis. Likewise, the risks associated with sedentary behavior after a cancer diagnosis should be considered as a separate risk factor for mortality. Observational data are needed on the associations between phys-ical activity and prognosis in other common, and rarer, cancers. Adding physical activity measurements to existing and planned clinical (such as cooperative group trials) and population studies of cancer survivors would be a cost-effective method of obtaining this information. Observational studies of potential adverse effects of physical activity in specifi c groups of cancer survivors are also needed. For example, individuals who have received cardiotoxic treatments, such as anthracyclines, trastuzumab, or left-sided radiation, may have persistent cardiac damage that could increase the risk of sudden death when they exercise.
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A recently funded research project — the Alberta Moving Beyond Breast Cancer (AMBER) Study — was specifi cally designed to address many of the limitations in the observational epidemio-logical literature on physical activity and disease outcomes in cancer survivors. The AMBER Study will assemble a cohort of 1500 Canadian women with incident, histologically confi rmed stage IC – IIIC breast cancer in Edmonton and Calgary and determine their disease-free and overall survival after 10 years of follow-up. At baseline and at various times during the 10-year follow-up, self-reported and objective measures of physical activity, health-related fi tness, determinants of physical activity, patient-reported out-comes, and biological and physical measurements will be taken. This cohort study will also permit a full evaluation of biomarkers that may be involved in these associations.
Also needed are future RCTs of exercise that examine different types of exercise and different doses of activity at different time points in the cancer experience and that include biological mea-surements to allow a full assessment of the effect of physical activity on diverse biomarkers and mechanistic pathways that may infl uence cancer survival. Studies are also need to assess the roles of obesity, weight loss, and cancer treatments (eg, tamoxifen or aromatase inhibitors) in mediating the effect of physical activity on bio-markers that may infl uence cancer survival. Finally, a fully powered RCT to assess the effects of physical activity on survival among breast cancer survivors is warranted ( 69 ).
Given the potential for confounding by disease progression, as well as problems resulting from inaccurate measurements of phys-ical activity, defi nitive evidence for an effect of physical activity on survival awaits data from randomized trials. One such trial is ongoing for colon cancer survivors ( 14 ); randomized trials are also justifi ed for survivors of breast cancer and, possibly, prostate cancer, given the treatment-related increased risks of cardiovascular disease that exist for these survivors.
Finally, the effects of physical activity on comorbidities in cancer survivors are largely unknown and could be explored within obser-vational data. For example, the associations between physical activity and risks for thromboembolic disease, coronary heart disease, stroke, diabetes, and other chronic diseases within popula-tions of cancer survivors have not been described in published literature. Associations between physical activity and disease in the general population may not apply to cancer survivors who have elevated risks of these comorbidities due to their cancer or their cancer treatments.
This systematic review has limitations. This systematic review was current at the time of its submission , but as this fi eld of research is evolving rapidly , it is possible that additional relevant studies have been published. Furthermore, many systematic reviews in other fi elds use meta-analysis to estimate the pooled effect across published research results. However, because the assessment of physical activity was variable across the observational studies and the exercise interventions in the RCTs were quite diverse, we felt that the heterogeneity among these studies would limit our ability to interpret any meta-analysis. In the future, should more observational studies be published that have more similar measures of physical activity exposures or RCTs published with more similar exercise interventions, such a meta-analysis may become possible.
In summary, physical activity is safe for cancer survivors, has proven physical and mental health benefi ts, is recommended by both the ACSM and American Cancer Society, and may also improve survival after cancer, but additional research is warranted before clear conclusions can be reached on the effects of physical activity on disease outcomes among many groups of cancer survivors.
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Funding
CMF was supported by a career award from the Alberta Heritage Foundation for Medical Research and KSC was supported by the Canada Research Chairs program .
Notes The authors are solely responsible for the study design, review of literature, collection of data, analysis and interpretation of the data, writing the review, and decision to submit the review for publication.
Affiliations of authors: Applied Research Program (RB-B, SMS) and Office of Cancer Survivorship (CMA), Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD ; Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD (RB-B, SMS, CMA) ; Faculty of Physical Education and Recreation, University of Alberta, Edmonton, AB, Canada (KSC); Department of Population Health Research, Alberta Health Services — Cancer Care, Calgary, AB, Canada (CMF) ; Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA (AM) .
Telomerase reverse Transcriptase Locus Polymorphisms and Cancer risk: A Field synopsis and Meta-AnalysisSimone Mocellin*, Daunia Verdi*, Karen A. Pooley, Maria T. Landi, Kathleen M. Egan, Duncan M. Baird, Jennifer Prescott, Immaculata De Vivo, Donato Nitti
Manuscript received September 30, 2011; revised March 27, 2012; accepted March 27, 2012.
Correspondence to: Simone Mocellin, MD, PhD, Meta-analysis Unit, Department of Surgical, Oncological and Gastroenterological Sciences, University of Padova, Via Giustiniani 2, Padova 35128, Italy (e-mail: [email protected]).
* Authors contributed equally to this work.
Background Several recent studies have provided evidence that polymorphisms in the telomerase reverse transcriptase (TERT) gene sequence are associated with cancer development, but a comprehensive synopsis is not available. We conducted a systematic review and meta-analysis of the available molecular epidemiology data regarding the association between TERT locus polymorphisms and predisposition to cancer.
Methods A systematic review of the English literature was conducted by searching PubMed, Embase, Cancerlit, Google Scholar, and ISI Web of Knowledge databases for studies on associations between TERT locus polymorphisms and cancer risk. Random-effects meta-analysis was performed to pool per-allele odds ratios for TERT locus polymorphisms and risk of cancer, and between-study heterogeneity and potential bias sources (eg, publication and chasing bias) were assessed. Because the TERT locus includes the cleft lip and palate transmembrane 1-like (CLPTM1L) gene, which is in linkage disequilibrium with TERT, CLPTM1L polymorphisms were also analyzed. Cumulative evidence for polymorphisms with statistically significant associations was graded as “strong,” “ moderate,” and “weak” according to the Venice criteria. The joint population attributable risk was calculated for polymorphisms with strong evidence of association.
Results Eighty-five studies enrolling 490 901 subjects and reporting on 494 allelic contrasts were retrieved. Data were available on 67 TERT locus polymorphisms and 24 tumor types, for a total of 221 unique combinations of polymorphisms and cancer types. Upon meta-analysis, a statistically significant association with the risk of any cancer type was found for 22 polymorphisms. Strong, moderate, and weak cumulative evidence for association with at least one tumor type was demonstrated for 11, 9, and 14 polymorphisms, respectively. For lung cancer, which was the most studied tumor type, the estimated joint population attributable risk for three polymorphisms
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