optimal use of rituximab in aggressive nhl professor michael pfreundschuh

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Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

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Page 1: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

Optimal use of rituximab in aggressive NHL

Professor Michael Pfreundschuh

Page 2: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

International Prognostic Index (IPI)

Patients of all ages Risk factors Age >60 yearsPS 2–4LDH level Elevated Extranodal involvement >1 siteStage (Ann Arbor) III-IV

Patients 60 years (age-adjusted)PS 2–4LDH ElevatedStage III-IV

Shipp N Engl J Med 1993;329:987

Page 3: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

DLBCL: overall survival

Year

Adapted from Armitage and Weisenburger. J Clin Oncol. 1998;16:2780.

Pat

ien

ts (

%)

100

60

40

20

0

0 2 5 6 7 83 41

80

IPI 0–1

IPI 2–3

IPI 4–5p<0.001

Page 4: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

Rituximab in first-line treatment of aggressive NHL

Page 5: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

Rituximab plus CHOP versus CHOP in elderly patients with DLBCL

Cyclophosphamide 750mg/m²Doxorubicin 50mg/m²Vincristine 1.4mg/m²Prednisone 40mg/m²/day x 5 days

3 weeks 8 cycles

R-CHOP 375mg/m²

Coiffier B, et al. N Engl J Med 2002;346:235–43Feugier P, et al. J Clin Oncol 2005 23:4117–26

GELA phase III trial (n=399)

Page 6: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

GELA- LNH 98.5 trial planned interim analysis: initial data

R-CHOP CHOP p value (n=169) (n=159)

Median 1-year

EFS (%) 69 49 <0.0005

OS (%) 83 68 <0.01

Coiffier B, et al. Blood 2000;96:223a (Abstract 950)

Page 7: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

GELA-LNH 98.5 5-year follow-up: overall survival

p<0.007

Rituximab plus CHOP 58%

CHOP 45%

0 1 2 3 4 5 6 7

100

80

60

40

20

0

Ove

rall

su

rviv

al (

%)

Years

Feugier P, et al. J Clin Oncol 2005;23:4117–26

Page 8: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

GELA-LNH 98.5 5-year follow-up: progression-free survival

100

80

60

40

20

00 1 2 3 4 5 6 7

Pro

gre

ssio

n-f

ree

surv

ival

(%

)

Rituximab plus CHOP 54%

CHOP 30%

Years

p<0.00001

PFS excludes late deaths not related to lymphoma or treatment

Feugier P, et al. J Clin Oncol 2005;23:4117–26

Page 9: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

GELA-LNH 98.5: 5-year EFS in low-aaIPI patients (aaIPI 0/1)

100

80

60

40

20

0 1 2 3 4 5 6 7

Eve

nt-

free

su

rviv

al (

%)

Rituximab plus CHOP 63%

CHOP 34%

Years

p=0.0008

Feugier P, et al. J Clin Oncol 2005;23:4117–26

Page 10: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

GELA-LNH 98.5: 5-year EFS in high-aaIPI patients (aaIPI 2/3)

100

80

60

40

20

00 1 2 3 4 5 67

Eve

nt-

free

su

rviv

al (

%)

Rituximab plus CHOP 41%

CHOP 27%

Years

p=0.004

Feugier P, et al. J Clin Oncol 2005;23:4117–26

Page 11: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

RANDOMISED

Stratified by IPI(0–1 vs 2–4)

CHOP

1 2 3Cycle 4 5 6 7 8

Rituximab

RANDOMISED

Stratified by IPICR/PR; induction

MR every6 months x

2 years

Observation

(n=632) (n=415)1 2 3Cycle 4 5 6 7 8

ECOG 4494 phase III trial: study design

Habermann T, et al. Blood 2004;104:40a (Abstract 127)

Page 12: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

ECOG 4494: R-CHOP versus CHOP weighted analysis to remove the effect of maintenance

HR=0.64p=0.003

R-CHOP

CHOP

HR=0.72p=0.05

R-CHOP

CHOP

Pro

bab

ilit

yP

rob

abil

ity

1.0

0.8

0.6

0.4

0.2

0

1.0

0.8

0.6

0.4

0.2

0

0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0

Years from induction randomisation

0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0

Years from induction randomisation

OS

FFS

Habermann T, et al. Blood 2004;104:40a (Abstract 127)

Page 13: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

Rituximab plus CHOP for DLBCL in British Columbia (BC): study aim

March 1, 2001: BC Cancer Agency implemented a new policy recommending R-CHOP for all patients with advanced stage DLBCL in BC

Population-based retrospective analysis over a 3-year interval (1/9/99 – 31/8/02)

Compare outcomes– 18 months prior to rituximab policy (pre-rituximab)

versus– 18 months following rituximab policy

(post-rituximab)

Sehn LH, et al. J Clin Oncol 2005;23:5027–33

Page 14: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

CHOP rituximab in British Columbia: overall survival by treatment era and age (≥60 vs <60 years)

1.0

0.8

0.6

0.4

0.2

0

Post-rituximab

Pre-rituximab

p=0.0003

Pro

bab

ilit

y o

f su

rviv

al

0 1 2 3 4 5 Years Years

1.0

0.8

0.6

0.4

0.2

0

Post-rituximab

Pre-rituximab

p=0.02

Pro

bab

ilit

y o

f su

rviv

al

0 1 2 3 4 5

≥60 years (n=170) <60 years (n=122)

Sehn LH, et al. J Clin Oncol 2005;23:5027–33

Page 15: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

RICOVER 60: trial design

CD20+ DLBCL61–80 years

IPI I-V

(n=828)

RANDOMISATION2 x 2 factorial design

6 x CHOP-14+ 36 Gy (Bulk, E)

8 x CHOP-14+ 36 Gy (Bulk, E)

6 x CHOP-14+ 36 Gy (Bulk, E)

+ 8 x rituximab

8 x CHOP-14+ 36 Gy (Bulk, E)

+ 8 x rituximab

Pfreundschuh et al., Blood 2005;106 (Abstract 13)

Page 16: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

CHOP-14 R-CHOP-14 p

CR/CRu (%) 73 81 0.008

Progressive disease (%) 9 6 0.102

RICOVER 60: response to therapy

6 Cycles 8 Cycles p

CR/CRu (%) 76 78 0.432

Progressive disease (%) 7 7 0.985

Pfreundschuh et al., Blood 2005;106 (Abstract 13)

Page 17: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

RICOVER 60 interim analysis: freedom from treatment failure (FFTF)

Pfreundschuh et al., Blood 2005;106 (Abstract 13)

Regimen No. of patients FFTF*

6 x CHOP-14 203 53%

6 x CHOP-14 + 8 x R 211 70%

8 x CHOP-14 210 58%

8 x CHOP-14 + 8 x R 203 70%

*Median 26 months follow-up

Page 18: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

CHOP-14 vs R-CHOP-14

Fai

lure

-fre

e su

rviv

al (

%)

8 x (R)-CHOP-14(n=415)

6 x (R)-CHOP-14(n=413)

p=0.000025 -crit* = 0.031

57%

70%64%

62%

p=0.23

Fai

lure

-fre

e su

rviv

al (

%)

100

80

60

40

20

0

100

80

60

40

20

0

6/8 x R-CHOP-14(n=414)

6/8 x CHOP-14(n=414)

0 5 10 15 20 25 30 35 40 45 0 5 10 15 20 25 30 35 40 45

Months Months

6 cycles vs 8 cycles

RICOVER 60: time to treatment failure

Pfreundschuh et al., Blood 2005;106 (Abstract 13)

Page 19: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

p=0.088p=0.284

78%

77%

78%

76%

CHOP-14 vs R-CHOP-14

Su

rviv

ing

(%

)

6 x (R)-CHOP-14(n=415)

8 x (R)-CHOP-14(n=413)

100

80

60

40

20

00 5 10 15 20 25 30 35 40 45

Months

Su

rviv

ing

(%

)

100

80

60

40

20

0

6/8 x R-CHOP-14(n=414)

6/8 x CHOP-14(n=414)

0 5 10 15 20 25 30 35 40 45

Months

6 cycles vs 8 cycles

RICOVER 60: survival

Pfreundschuh et al., Blood 2005;106 (Abstract 13)

Page 20: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

Historical perspective (I): stages I–IV

78%

72%*

58%*

*Pfreundschuh et al., Blood 2004;104:634–41

Su

rviv

ing

(%

)

100

80

60

40

20

0 0 5 10 15 20 25 30 35 4045 Months

8 x R + 6/8 x CHOP-14 (n=414)6 x CHOP-14* (n=172)6 x CHOP-14* (n=176)

Elderly DLBCL: survival

Pfreundschuh et al., Blood 2005;106 (Abstract 13)

Page 21: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

Historical perspective (II): stages II–IV

* Feugier P, et al. J Clin Oncol 2005 23:4117–26

8 x R + 6/8 x CHOP-14n=4148 x R-CHOP-21*n=2028 x CHOP-21*n=197

74%

55%*

64%*

Elderly DLBCL: survival

Su

rviv

ing

(%

)

0 5 10 15 20 25 30 35 40 45 50 55 60

100

90

80

70

60

50

40

30

20

10

0

Months

Pfreundschuh et al., Blood 2005;106 (Abstract 13)

Page 22: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

• R-CHOP-14 superior to CHOP-14

• Trend in favour of 8 x CHOP-14 over 6 x CHOP-14

- disappears after rituximab

• 8 x R+ 6/8 x CHOP-14: best results in elderly to date

• 8 x R + 6 x CHOP-14: reference for future trials

RICOVER 60: conclusions

Pfreundschuh et al., Blood 2005;106 (Abstract 13)

Page 23: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

CD20+ DLBCL18–60 years

IPI 0,1Stages II–IV,I with bulk

(n=823)

6 x CHOP-like+ 30–40 Gy (Bulk, E)

6 x CHOP-like+ rituximab

+ 30–40 Gy (Bulk, E)

Randomisation

MInT: trial design

Pfreundschuh M, et al. Proc Am Soc Clin Oncol 2005 (Abstract 6529)

Page 24: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

Median observation time: 22 months

MInT: time to treatment failure

p=0.00 00 00 00 7

R-Chemo

Chemo

1.0

0.8

0.6

0.4

0.2

00 5 10 15 20 25 30 35 40 45 50

Months

80%

61%

Pro

bab

ilit

y

Pfreundschuh M, et al. Proc Am Soc Clin Oncol 2005 (Abstract 6529)

Page 25: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

Lymphoma-associated deaths:Chemo: 42R-Chemo: 13

Median observation time: 23 months

p=0.0002

MInT: overall survival

1.0

0.8

0.6

0.4

0.2

00 5 10 15 20 25 30 35 40 45 50

Months

Pro

bab

ilit

y

R-Chemo

Chemo

95%

86%

Pfreundschuh M, et al. Proc Am Soc Clin Oncol 2005 (Abstract 6529)

Page 26: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

R-CHOP vs CHOP R-CHOEP vs CHOEP

Pro

ba

bil

ity

50454035302520151050

Months

R-CHOEP (n = 181)

CHOEP (n = 180)

80.4%

65.1%

P = 0.0006

R-CHOP (n = 197)

50454035302520151050

1.0

.9

.8

.7

.6

.5

.4

.3

.2

.1

0.0

Months

Pro

ba

bil

ity

CHOP (n = 197)

82.9%

55.3%

P < 0.00000005

MInT: time to treatment failure

1.0

.9

.8

.7

.6

.5

.4

.3

.2

.1

0.0

Pfreundschuh M, et al. Proc Am Soc Clin Oncol 2005 (Abstract 6529)

Page 27: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

CHOP vs CHOEP R-CHOP vs R-CHOEP

50454035302520151050

1.0

.9

.8

.7

.6

.5

.4

.3

.2

.1

0.0

55.3%

65.1%

P = 0.04

Months

Pro

bab

ility

Months

Pro

bab

ility

50454035302520151050

1.0

.9

.8

.7

.6

.5

.4

.3

.2

.1

0.0

R-CHOEP(n = 181)

80.4%

82.9%

P = 0.67

CHOP(n = 187)

CHOEP(n = 180)

R-CHOP(n = 197)

MInT: time to treatment failure

Pfreundschuh M, et al. Proc Am Soc Clin Oncol 2005 (Abstract 6529)

Page 28: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

MInT: overall survival for (R)-CHOP versus (R)-CHOEP

1.0

0.8

0.6

0.4

0.2

00 5 10 15 20 25 30 35 40 45 50

Months

Pro

bab

ility

p=0.26

95.1%

100%

R-CHOEP

R-CHOP1.0

0.8

0.6

0.4

0.2

0

Months

Pro

bab

ility

p=0.65

92.8%

95.8% R-CHOP

0 5 10 15 20 25 30 35 40 45 50

R-CHOEP

Very favourable (IPI=0, no bulk)

Less favourable(IPI=1 and/or bulk)

Pfreundschuh M, et al. Proc Am Soc Clin Oncol 2005 (Abstract 6529)

Page 29: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

Rituximab in first-line treatment of aggressive NHL: conclusions

8 cycles of rituximab plus chemotherapy is the standard of care for DLBCL patients irrespective of age or risk factors– confirmed in a community-based study

Addition of 8 cycles of rituximab to dose intensified strategies allows a reduction in the number of cycles of CHOP– may reduce toxicity, particularly cardiotoxicity

Page 30: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

Rituximab in relapsed/refractory aggressive NHL

Page 31: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

Kewalramani T, et al. Blood 2004;103:3684–8

Rituximab plus ICE for relapsed/refractory CD20+ DLBCL

Day

1 2 3 4 5 6 7 8 9 10 11 12 13 14

Rituximab x

Ifosfamide x

Carboplatin x

Etoposide x x x

G-CSF x x x x x x x x

Median days to complete three cycles R-ICE: 45 (35–59) vs 37 with ICE

10/34 (29%) patients completed R-ICE in 35 days

28/34 (83%) sufficient PBPC harvest vs 80/92 (87%) ICE

Page 32: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

R-ICE for relapsed/refractory CD20+ DLBCL

Months from ASCT

Pro

po

rtio

n p

rog

ress

ion

-fre

e

p=0.25

ICE (n=92;historical controls)

R-ICE (n=34)

PFS1.0

0.8

0.6

0.4

0.2

0 0 20 40 60 80 100 120

Response rates

R-ICE (%)

ICE (%)

ORR 78 71

Relapsed CR 65 34

Refractory CR 31 19

Kewalramani T, et al. Blood 2004;103:3684–8

Page 33: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

1 2 3 4 5 6 7 8 9 10 11 12 13 14

Rituximab + EPOCH in relapsed aggressive NHL: protocol

MabThera 375 mg/m2 i.v. day 1 Doxorubicin 15 mg/m2 c.i.v. days 2–4

Etoposide 65 mg/m2 c.i.v. days 2–4 Vincristine 0.5 mg c.i.v. days 2–4

Cyclophosphamide 750 mg/m2 i.v. day 5 Prednisone 60 mg/m2 p.o. days 1–14

Days

MabThera

Doxorubicin

Vincristine

Etoposide

Cyclophosphamide

Updated from Jost et al. Proc Am Soc Clin Oncol. 2001;21:290a. Abstract 1157.

Prednisone

Page 34: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

Rituximab + EPOCH in relapsed aggressive NHL: response

Patients (%)

(n=50)

ORR 64

CR 26

PR 38

Stem cell harvest in 18 of 27 patients (67%) under 60 years

Updated from Jost et al. Proc Am Soc Clin Oncol. 2001;21:290a. Abstract 1157.

Page 35: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

CORAL trial of R-ICE versus R-DHAP

CD20+ DLBCL

Relapsed/refractory

R-ICE x 3

R-DHAP x 3

R

A

N

D

O

M

I

S

E

R

A

N

D

O

M

I

S

E

SD/PD Off

PR/CR

ASCT

R x 6

Obs

BEAM+

400 patients needed

Stratification:rituximab-naive

versus previousrituximab

Page 36: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

Rationale for rituximab in vivo purging and consolidation

Rituximab in vivo purging can eliminate residual lymphoma cells, a major cause of relapse, from stem cell harvests, without adversely affecting the yield or function of stem cells

Rituximab can also be used as consolidation therapy post-transplant to eliminate residual malignant cells and reduce the likelihood of relapse

Page 37: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

In vivo purging with rituximab prior to ASCT

B-NHL patients (n=27) received rituximab plus DexaBEAM therapy prior to ASCT

Patients (%)

Remission rate 25 (96)

Complete remission 24 (92)

Partial remission 1 (4)

16 months post HDT: – 95% overall survival– 77% progression-free survival

Flohr T, et al. Bone Marrow Transplant 2002;29:796–75

Page 38: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

CY BCNU/VP/CY

Harvest†

Horwitz SM, et al. Blood 2004;103:777–83

Rituximab* Rituximab*

ASCT

*375mg/m2 weekly x 4†CD34-enriched and in-vitro antibody purged

Rituximab after HDT/ASCT

Time6 months

42 days

Page 39: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

All patients Recurrent DLBCL

Rituximab after autologous transplantation: event-free survival

120

100

80

60

40

20

00 1 2 3 4 5 0 1 2 3 4 5

Years Years

n=35 n=21

120

100

80

60

40

20

0

Eve

nt-

free

su

rviv

al (

%)

Eve

nt-

free

su

rviv

al (

%)

Horwitz S, et al. Blood 2004;103:777–83

Page 40: Optimal use of rituximab in aggressive NHL Professor Michael Pfreundschuh

Rituximab for treatment of relapsed/refractory aggressive NHL:

conclusions

Adding rituximab to salvage chemotherapy improves the response to chemotherapy and therefore can improve patient outcome

In vivo purging with rituximab prior to ASCT may impact progression-free and overall survival

Rituximab consolidation post-ASCT may impact event-free survival providing further patient benefit