sean altekruse dvm, mph, phd, dacvpm (epidemiology) national cancer institute

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Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute Division of Cancer Control and Population Sciences Surveillance Research Program Data Analysis and Interpretation Branch Cancer incidence, survival and mortality trends in the United States USPHS Scientific and Training Symposium Veterinary Category Day June 20, 2012

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Cancer incidence, survival and mortality trends in the United States USPHS Scientific and Training Symposium Veterinary Category Day June 20, 2012. Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute Division of Cancer Control and Population Sciences - PowerPoint PPT Presentation

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Page 1: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology)National Cancer Institute

Division of Cancer Control and Population SciencesSurveillance Research Program

Data Analysis and Interpretation Branch

Cancer incidence, survival and mortality trends in the United States

USPHS Scientific and Training SymposiumVeterinary Category Day

June 20, 2012

Page 2: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Veterinarians, Cancer Surveillance Community

Anil Chaturvedi DVM, PhD (NCI, DCEG Infectious Etiologies)

Amedin Jemal DVM, PhD (ACS, V.P., Cancer Surveillance)

Sean Altekruse DVM, PhD (NCI, DCCPS, SRP)

Sally Bushhouse DVM, PhD (MN CSS)

Chand Khanna DVM, PhD (NCI, CCR)

Carol McClure DVM, PhD (PEI, CTC)

Others

Page 3: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Surveillance, Epidemiology & End Results

What is SEER?

Types of data

Learn more about SEER

Page 4: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

What is SEER?

Key part of Nation’s Cancer Control InfrastructureEstablished by the 1971 National Cancer Act to -- - Provide baseline data on cancer burden - Focus research toward important opportunities - Assess prevention effectiveness

Page 5: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

SEER data informs Nation’s cancer health policy & practice

Used by legislators, clinicians, scientists, health officials, advocacy groups, press & public (e.g. patients & families)

Over 4000 articles based on SEER cited in PubMed

Measuring Our Nation’s Progress Against Cancer

Page 6: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Network of registries covering ~28% of US population

Public use data - cancer incidence, prevalence, survival

Person, site, histology, behavior, stage, treatment, vital status

Cancer as a model for chronic disease surveillance

NCI SEER Program

Page 7: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

SEER Data Quality

Data quality continuously monitored

Quality improvement is integral to the SEER Program

Routinely update variables, documentation and training

Page 8: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Evolution of SEER

SEER 9 covering years 1975+ San Francisco-Oakland, Connecticut, Detroit,

Hawaii, Iowa, New Mexico, Seattle, Utah, Atlanta

SEER 13 covering years 1992+ SEER 9 plus San Jose-Monterey, Los Angeles,

Rural Georgia, Alaska Natives

SEER 18 covering years 2000+ SEER 13 plus Kentucky, Louisiana, New Jersey,

Greater California and Georgia

Page 9: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

U.S. Map with 20 SEER Registries

Page 10: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Population Coverage by Race/Ethnicity (2009 estimate)

0%

10%

20%

30%

40%

50%

60%

White Black AI/AN API Hispanic

Percentage of U.S. population 1973 on 1992 on 2000 on

OriginalSEER

FirstExpansion

SecondExpansion

AI/AN: American Indian and Alaska NativeAPI: Asian and Pacific Islander

Page 11: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Cancer Statistics Review–Recent cancer statistics

Annual Report to the Nation–Multiagency collaboration

Fact Sheets–Summary of key statistics by cancer site

Analytic Software: HD*Calc, SEER*Stat, JoinPoint

Fast Stats–Web-based tables and graphs

State Cancer Profiles (Web-based)

Cancer Trends Progress Report (Web-based)

Where Are SEER Statistics Reported?

Page 12: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Statistics from SEER Data

Rate per 100,000 population

Crude, Age-adjusted, Delay-adjusted

Trends (logistic regression)

Annual percent change

Average annual percent change

Survival

Prevalence, cancer survivors

Lifetime risk

Person- and Average-years of life lost

Page 13: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Age-Adjusted, Delay-Adjusted Incidence Rates All Cancer Sites by Sex

1975

1976

1977

1978

1979

1980

1981

1982

1983

1984

1985

1986

1987

1988

1989

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

300

350

400

450

500

550

600

650

700

Year

Rat

e pe

r 100

,000

~~

Both Sexes

Males

Females

Observed Delay Adjusted

Page 14: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Observed Delay Adjusted

-0.5*-0.3*

-0.9*-0.8*

0.40.7

AAPC

Observed Delay Adjusted

* AAPC is statistically different from 0 (p<.05)

Both Sexes

Males

Females

1975

1976

1977

1978

1979

1980

1981

1982

1983

1984

1985

1986

1987

1988

1989

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

300

350

400

450

500

550

600

650

700

Year

Rat

e pe

r 100

,000

~~

Delay-Adjusted Incidence Trends All Cancer Sites by Sex

Page 15: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

1975

1977

1979

1981

1983

1985

1987

1989

1991

1993

1995

1997

1999

2001

2003

2005

2007

2009

250

350

450

550

650

750

850

~~

Males

250

350

450

550

650

750

850

~~

Females

White Black Asian/Pacific Islander American Indian/Alaska Native Hispanic

All Sites, Incidence Rates & Joinpoint Trends 1975-2009, All Ages

-0.8*

-1.0*

-0.3

-1.6*-2.2*

AAPC

0.50.2*

0.8*

0.10.3*

AAPC

* The AAPC is statistically significant from 0 (p<0.05)

Page 16: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Top 15 Cancer Incidence Rates

StomachLiver & IBD

Oral Cavity and PharynxLeukemiaPancreas

ThyroidCorpus and Uterus, NOSKidney and Renal Pelvis

Non-Hodgkin LymphomaMelanoma of the Skin

Urinary BladderColon and Rectum

Lung and BronchusProstate

Breast

0 10 20 30 40 50 60 70 80

7.57.9

10.91212.113.213.4

15.519.320.8

36.347.2

60.265.7

67.7

Age-adjusted rate per 100,000 -- SEER 18, 2009

Page 17: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Recent Incidence Trends by Cancer Site*

Average Annual Percent Change 2000-2009

* 10 year AAPC statistically different from 0 (p<0.05), joinpoint model fit, SEER 9 delay-adjusted rates from 1975-2009

Hodgkin LymphomaBrain & Other Nervous System Urinary Bladder All Cancer Sites Breast (Female) Ovary Stomach Prostate Lung & Bronchus (Male) Colon & Rectum Cervix Uteri Larynx

-4 -2 0 2 4 6 8

-2.5-2.5-2.4

-1.8-1.7-1.6

-0.9

-0.70000000000000

1

-0.3-0.2-0.2-0.1

0.010.1

0.30.4

0.600000000000001

0.700000000000001

0.80.9

1.32.8

3.23.6

6.7Thyroid Liver & Bile Duct

Kidney & Renal Pelvis Melanoma of the Skin

Pancreas Corpus & Uterus, NOS

Testis Myeloma

Non-Hodgkin Lymphoma EsophagusLeukemia

Lung & Bronchus (Female)Oral Cavity & Pharynx

**

**

***

**

**

**

**

**

***

Page 18: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Delay- and Age-Adjusted Incidence Trends, Leading Cancer Sites

1975

1977

1979

1981

1983

1985

1987

1989

1991

1993

1995

1997

1999

2001

2003

2005

2007

2009

0

50

100

150

200

250

ProstateBreast (Female)Lung and BronchusColon and Rectum

Year of Diagnosis

Rat

e pe

r 100

,000

Page 19: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

19751977

19791981

19831985

19871989

19911993

19951997

19992001

20032005

20072009

0

20

40

60

80

100

120

140

160

Delay-Adjusted Incidence Rates

Mortality

22.1

HP 2020 Goal 20.6 per 100K

2012 estimated number of women in the US 226,870 women diagnosed 39,510 women die

Breast (Female)Incidence and Mortality Age-Adjusted Trends

?

?

* The AAPC is statistically significant from 0 (p<.05)

-0.7

-1.9*

Page 20: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

19751977

19791981

19831985

19871989

19911993

19951997

19992001

20032005

20072009

-40

10

60

110

160

210

260

Delay-Adjusted Incidence Rates

Mortality

2012 estimated number of men in the US 241,750 men diagnosed 28,170 men die

Prostate (Male)Incidence and Mortality Age-Adjusted Trends

?

?

* The AAPC is statistically significant from 0 (p<.05)

22

HP 2020 Goal 21.2 per 100K

-1.7*

-3.5*

Page 21: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

19751977

19791981

19831985

19871989

19911993

19951997

19992001

20032005

20072009

0

20

40

60

80

100

120Delay-Adjusted Incidence Rates

Mortality

2011 estimated numbers in the US 116,470 diagnosed 87,750 die

Lung and Bronchus (Males)Incidence and Mortality Age-Adjusted Trends

?

?

* The AAPC is statistically significant from 0 (p<.05)

-1.8*

-2.3*

Page 22: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

19751977

19791981

19831985

19871989

19911993

19951997

19992001

20032005

20072009

0

10

20

30

40

50

60

Delay-Adjusted Incidence Rates

Mortality

2012 estimated numbers in the US 109,690 diagnosed 72,590 die

Lung and Bronchus (Female)Incidence and Mortality Age-Adjusted Trends

?

?

* The AAPC is statistically significant from 0 (p<.05)

0.1

-0.6*

Page 23: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

19751977

19791981

19831985

19871989

19911993

19951997

19992001

20032005

20072009

0

10

20

30

40

50

60

70

Delay-Adjusted Incidence Rates

Mortality

2012 estimated numbers in the US 143,460 diagnosed 51,690 die

Colon and RectumIncidence and Mortality Age-Adjusted Trends

?

?

* The AAPC is statistically significant from 0 (p<.05)

-2.4*

-2.8*

Page 24: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Size of SEER: Rare Cancers, Cancer Heterogeneity

• The four leading cancers (lung, colorectal, breast & prostate) account for most of the U.S. cancer burden

• >50 other cancers with considerable burden

• Many anatomic sub-sites, histologic subtypes

• SEER population of sufficient size to evaluate these cancers

• “Personalized” or “Targeted” medicine

Page 25: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Delay- and Age-Adjusted Incidence Trends,Cancer Sites Decreasing By 1% Per Year Or More*

1975

1977

1979

1981

1983

1985

1987

1989

1991

1993

1995

1997

1999

2001

2003

2005

2007

2009

0

5

10

15

20

25

Cervix UteriStomachLarynx

Year of Diagnosis

Rat

e pe

r 100

,000

* Breast, Prostate, Lung & Bronchus, and Colon & Rectum graphed separately

Page 26: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Long Term Incidence Trends For Cancer Sites That Are Increasing By 1% Per Year Or More*

1975

1977

1979

1981

1983

1985

1987

1989

1991

1993

1995

1997

1999

2001

2003

2005

2007

2009

0

5

10

15

20

25

Melanoma of the Skin

Pancreas

Kidney and Renal Pelvis

Thyroid

Liver & Bile Duct

Year of Diagnosis

Rat

e Pe

r 100

,000

Page 27: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

All Site

s

Lung and Bronchus

Colon and Rect

um

Prosta

te (M

ale)

Breast (

Female

)0%

10%20%30%40%50%60%70%80%90%

100%Fi

ve Y

ear R

elati

ve S

urvi

val

Source: Surveillance, Epidemiology and End Results (SEER) 17 Registries, Diagnosis Year 2003

Healthy People 2020 Target, All Cancer 5-year Relative Survival: 72.8%

5-Year Survival Target: 72.8%

Page 28: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

5-Year Relative Survival By Site and Race

Liver and Bile Duct

Lung and Bronchus

Esophagus

Ovary

Leukemia

Larynx

Oral Cavity and Pharynx

Colon and Rectum

Non-Hodgkin Lymphoma

Cervix Uteri

Kaposi Sarcoma

Urinary Bladder

Corpus and Uterus, NOS

Hodgkin Lymphoma

Breast

Melanoma of the Skin

Testis

Prostate

0 20 40 60 80 100

15

16

18

44

55

61

63

65

69

69

74

78

84

85

90

91

96

100

11

13

11

36

48

54

42

57

61

59

49

64

60

81

78

72

89

96

BlackWhite

Other Sites (5-Yr Survival) Thyroid (98%)Kidney (78%)Myeloma (41%)Nervous System (34%)Stomach (27%)Pancreas (6%)

All Site 2020 Target: 72.8%

Page 29: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Number of Cancer Survivors --United States, 1971 to 2009

1970 1975 1980 1985 1990 1995 2000 2005 20100

2,000,000

4,000,000

6,000,000

8,000,000

10,000,000

12,000,000

14,000,000

Year

Num

ber i

n m

illio

ns

Page 30: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Female Breast22%

Prostate20%

Colorectal9%

Gynecologic8%

Hematologic (HD, NHL, Leukemia, ALL,

Lyeloma)8%

Urinary Tract (Bladder, Kidney,

Renal Pelvis)7%

Melanoma7%

Thyroid4%

Lung3%

Other12%

By Cancer Site

By Time since diagnosis

12 Million U.S. Cancer Survivors, 2008

≤ 19 Years of Age1%

20-39 Years of Age4%

40-64 Years of Age35%

65+ Years of Age60%

By Current Age

0 to <5 35%

5 to <10 24%

10 to <1516%

15 to <209%

20 to <255% > 25

11%

Page 31: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Liver cancer Increasing incidence/mortality: White, Black, Hispanic men Neighborhood SES Changes in treatment, survival

Prostate cancer (southeastern U.S.) Race-specific early stage diagnosis -- urban v. rural

Cervical cancer Geospatial and racial/ethnic variation

Childhood cancer Stalling progress to reduce mortality?

Linkage to socioeconomic dataLinkage to specimensSocial Media

“Did you know?” -- YouTube

Recent, Current Efforts

Page 32: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Summary

What is SEER?

Types of data

Applications

Page 33: Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology) National Cancer Institute

Thank You!

Sean Altekruse DVM, MPH, PhD, DACVPM (Epidemiology)

[email protected]

(301) 402-5331