Adjuvant Therapy For The Elderly and/or Frail Patient With Colorectal Cancer Richard M. Goldberg, MD...

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Adjuvant Therapy For The Elderly and/or Frail Patient With Colorectal

CancerRichard M. Goldberg, MD

The Klotz Family Professor and Physician in Chief The James Cancer Hospital

Ohio State University Comprehensive Cancer CenterColumbus, OH

Today’s Topics: Considerations When Treating Older Patients

• Demographics: Who do we see in the office?• Patient and Tumor Biology-

– Different in older people? – Does that matter?

• Do adjuvant therapy strategies need to be adjusted for age and frailty?

• How do you make the best choices?

Colorectal Cancer:A disease of the elderly

• Median age at diagnosis of CRC = 70– 76% > age 65– 40% > age 75– 12% age > 85

• 40% of CRCs are Stage III at diagnosis

Howlander, SEER Cancer Statistics Review, 2011

Additional Expected Years of Life By Age/Gender

60 70 800

5

10

15

20

25

30

womenmen

Kohne, Folprecht, Goldberg et al, Oncologist , 13:390, 2008

Expectancy

• 75 yo11-13 yrs

• 85 yo 6-7 yrs

Stage 2: 67% of recurrences occur

by 3 years

Stage 3: 75% of recurrences occur by 3

years

Colon Cancer Stage II vs Stage IIIPatterns of Recurrence

Sargent et al, JCO 2005

US Cancer Trial EnrollmentDEMOGRAPHICS ENROLLMENT

Cooperative Group Trials %

SEER Incident Cases %

Enrollment Fraction

OR enrollment

95% CI

RACE White

85.6% 83% 1.7% 1

Black 9% 11% 1.3% 0.71, 0.68-0.74

Hispanic 3% 4% 1.3% 0.72, 0.68-0.77

AGE 30-64

68% 38% 3% 1

65-74 24% 31% 1.3% 0.43, 0.42-0.44

≥75 8% 31% 0.5% 0.15, 0.15-0.16

Murthy et al, JAMA 2004; 291: 2720

* Years 2000-2002

Today’s Topics: Considerations When Treating Older Patients

• Demographics: Who do we see in the office?• Patient and Tumor Biology-

– Different in older people? – Does that matter?

• Do Adjuvant therapy strategies need to be adjusted for age and frailty?

• How do you make the best choices?

Biology: Are There Really Distinctions?

• Patients differ in their:– Physiology– Pharmacology– Psycho/sociology– Pathology & stage of disease– Preferences

• Tumors may differ: in drug responsiveness • Do physicians see older patients as different?

– Do no harm versus treating aggressively

Older/Frail Patients Differ

• Physiology/Pharmacology (PK/PD differences)– Adherence (capecitabine)– GI tract physiology: Mucosal atrophy, decline in

digestive enzymes, decreased motility etc – Body composition (more fat, less water)– Chronic heart, liver, or renal compromise

• Reduced drug clearance

– Diminished hematologic reserve– Polypharmacy and drug interactions

Older/Frail Patients Differ

• Psycho/sociology– Living alone versus with support

• Preferences: Different goals– Quality versus length of life– Independence– Acute chemotherapy toxicity versus long term

benefit

Today’s Topics: Considerations When Treating Older Patients

• Demographics: Who do we see in the office?• Patient and Tumor Biology-

– Different in older people? – Does that matter?

• Do adjuvant therapy strategies need to be adjusted for age and frailty?

• How do you make the best choices?

Patient’s Tumor Biology Differs: But Does That Matter?

• Sensitivity versus resistance relates to driver mutations

• Oncogenic drivers of CRC– Microsatellite Instability High Tumors (MSI-H)

• Lynch Syndrome-more common in younger patients• CpG island methylator phenotype (CIMP)-more

common in older patients

– Loss of heterozygosity (LOH) aka chromosomal instability-more common in younger patients

The CpG island methylator phenotype and chromosomal instability are inversely correlated

in sporadic colorectal cancer.

Goel A, Nagasaka T, Arnold CN, Inoue T, Hamilton C, Niedzwiecki D, Compton C, Mayer RJ,

Goldberg R, Bertagnolli MM,Boland CR

Gastroenterology. 132:127-38, 2007.

CpG Island Methylator Phenotype (CIMP)

•Gene silencing by promoter region methylation•Frequent loss of expression of MLH1, MINT1, MINT2, MINT31, p6INK4, p14ARF

Stage III Colorectal Cancer

Goel, et al. Gastroenterology 2006

55%CpG Island Methylator Phenotype

45%Chromosomal

Instability

19%Microsatellite

Instability

Aneuploidy,WidespreadLOH

Epigeneticsilencing ofmultiple tumorsuppressors

MLH1 promotermethylation,DNA mismatchrepair defect

Linear Age by CIMP Association

904 cases from the Nurses Health& Health Professionals Follow-upStudies who developed CRC

Nosho et al;Comprehensive biostatisticalanalysis of CpG Island methylator phenotype in colorectal cancer using a large population-basedSample PLoSOne 3:e3698, 2008

Deficient Mismatch Repair as a Predictive Marker for Lack of Benefit from 5-FU based Chemotherapy in

Adjuvant Colon Cancer

Sargent, Marsoni, Thibodeau, Labianca, Hamilton, Torri, Monges, Ribic, Grothey, Gallinger

DFS By MMR Status

0 1 2 3 4 5

0

10

20

30

40

50

60

70

80

90

100

Years

% D

ise

as

e F

ree

0 1 2 3 4 5

0

10

20

30

40

50

60

70

80

90

100

Years

% D

isea

se F

ree

HR: 0.79 (0.49-1.25)p=0.30

HR: 0.51 (0.29-0.89)p=0.009

Treated (N=512) Untreated (N=515)

dMMR 70%pMMR 67%

5 yr DFS

dMMR 80%pMMR 56%

5 yr DFS

OS By Treatment, Stage II MSI-H Patients

0 1 2 3 4 5 6 7 80

10

20

30

40

50

60

70

80

90

100

Years

% A

live

HR: 3.15 (1.07-9.29)p=0.03

N = 55N = 47

Untreated 93%Treated 75%

5 yr OS

P-value = 0.014 for treatment by MMR status interaction

CALGB 89803: 5-FU/ LV +/- Irinotecan

• 723/1264 tumors evaluated for MSI– Patients with samples no different from overall

population – 96 (13%) MSI-H by DNA microsatellite analysis– PFS (p=0.04) advantage and OS trend (p=0.17) for

IFL over FL treated MSI-H patients– No PFS or OS advantage for MSS patients

Bertagnolli et al, J Clin Oncol 27:1814-21, 2009

IFL vs FL in MSI-H Tumors

The Cancer Genome Atlas NetworkNature 487: 330-337, 2012

Genomics:Comprehensive Molecular Characterization of

Human Colon and Rectal Cancer

Raju Kucherlapati

Methods and Key Findings• Methods: Whole genome sequencing of 276 colorectal

tumors– Exome sequence, DNA copy number, promotor methylation,

messenger and micro RNA expression• Key Findings

– 16% hypermutated; 75% MSI-H– Colon and rectal cancers share similar patterns of genomic

alteration– 24 genes significantly mutated:

• Expected: APC, TP53, SMAD4, PIK3CA, KRAS• Unexpected: ARID1A, SOX9, FAM123B, ERBB2

– Potential new targets: ERBB2, IGF2

Genomics: Cancer Genome Atlas

Relating This to the Elderly CRC Patient

• No subset analysis of mutational status by age was done

• This will be done in future studies and may provide insights

• Pooled analyses will be needed for adequate power

Does Tumor Biology Matter?

• 67% of Stage III patients who relapse do so within 3 years

• Universal MSI testing via IHC • No 5-FU in MSI-H stage II patients (good

prognosis, poor outcome)• ? 5-FU in MSI-H stage III patients• Future exploitation of tumor biology is to be

determined

Today’s Topics: Considerations When Treating Older Patients

• Demographics: Who do we see in the office?• Patient and Tumor Biology-

– Different in older people? – Does that matter?

• Do adjuvant therapy strategies need to be adjusted for age and frailty?

• How do you make the best choices?

Evidence Bases

• Pooled analyses• Subset analyses• Population based analyses

Pooled Analysis: Methods

• Pooled analysis of all mature studies comparing IV 5-FU + Leucovorin (LV) or Levamisole (Lev) to observation

• Includes 3,351 individual patient’s data

• All eligible randomized patients included

• Stage II and III patients included

Sargent, Goldberg, Jacobson et al, NEJM 345: 1091-7: 2001

020

40

60

80

10

0

0 2 4 6 8

Rx

No Rx

Age<=70

Years from Randomization

020

40

60

80

10

0

0 2 4 6 8

Rx

No Rx

Age>70

Years from Randomization

Time to Recurrence

020

40

60

80

10

0

0 2 4 6 8

Rx

No Rx

Age<=70

Years from Randomization

020

40

60

80

10

0

0 2 4 6 8

Rx

No Rx

Age>70

Years from Randomization

Overall Survival

Outcomes

• 5-year overall survival– Surgery alone 64%– With 5-FU 71%

• 506 patients over 70 had similar benefits• More neutropenia but no other grade > 3

toxicities were more common in the elderly

35

Fluoropyrimidines ± Oxaliplatin Stage III

HR for DFS

P value DFS Delta (%)

HR for OS P value OS Delta (%)

MOSAIC (1)

0.78CI, 0.65-0.93

At 5 year

0.005 7.5%58.9% vs 66.4%

At 5 year

0.80CI, 0.65-0.97

At 6 year

0.023 4.2%68.7% vs 72.9%

At 6 year

NSABP C-07(2)

0.78CI, 0.68-0.90

At 5 year

0.0007 6.6 %

57.8% vs 64.4%At 5 year

0.85CI, 0.72-1.00

At 5 year

0.052 2.7%73.8% vs 76.5%

At 5 year

XELOX(3)

0.80CI, 0.69-0.93

At 3 year

0.0045 4.4%66.5% vs 70.9%

At 3 year

0.87CI, 0.72-1.05

At 5 year

0.1486 3.4%ND

(57 months FU)

1 André T, J Clin Oncol. 20092 Yothers G, J Clin Oncol 20113 Haller D, J Clin Oncol 2011

Subset Analyses:

Adjuvant therapy with fluorouracil and oxaliplatin in Stage II and elderly patients (between ages 70 and 75 years) with colon cancer : subgroup analysis of

the MOSAIC trial.

C. Tournigand, T. Andre , F Bonnetain, et al. for the Multicenter International Study of Oxaliplatin/5-Fluorouracil/Leucovorin in the

Adjuvant Treatment of Colon Cancer (MOSAIC)

J Clin Oncol, 30: 3353-60, 2012

MOSAIC Phase III Trial Schema

RANDOMIZ ATION

LV5FU2 every 2 weeks x 12LV5FU2 every 2 weeks x 12

FOLFOX4 every 2 weeks x 12FOLFOX4 every 2 weeks x 12

N=1100

155 elderly

N=1100

160 elderly

• 40% Stage II

• 60% Stage III

5-FU In Stage III Patients

• 1990 NCI consensus recommends adjuvant Rx in Stage III CRC regardless of age

• 6 year OS: – Surgery alone 50%– LV/5-FU 68.7%– FOLFOX 72.9%

• Incremental 6 year OS with oxaliplatin: 4%

*MOSAIC, NEJM 2006

OS

0 6 12 18 24 30 36 42 48 54 60 66 720.0

0.2

0.4

0.6

0.8

1.0

FOLFOX4>70LV5FU2>70FOLFOX4<70LV5FU2<70

months

pro

bab

ilit

y

OS in patients ≥ 70 years

OS benefit similar to younger patients until 4 yrsFOLFOX

RFS in patients ≥ 70 yearsRFS ³ 70 years

0 6 12 18 24 30 36 42 48 54 60 66 720.0

0.2

0.4

0.6

0.8

1.0

FOLFOX4LV5FU2

HR 0.68 [0.44-1.06]

months

prob

abili

ty

RFS benefit (deaths of other causes excluded in the definition)FOLFOX

OS after relapse ≥ 70 yearsOS post relapse of colon cancer > 70 years

0 6 12 18 24 30 36 42 48 54 60 66 720.0

0.2

0.4

0.6

0.8

1.0

FOLFOX 10.36 monthsLV5FU2 19.86 months

months

prob

abili

ty

P= 0.14 HR 1.440 CI (0.8979-2.443)

Shorter OS post relapse due to less intensive management of relapseFOLFOX

Oxaliplatin Increases Adverse Effects

5FU/LV FOLFOX

All Grades Severe or Life-

threatening

All Grades Severe or Life-

threatening

Paresthesia 16% <1% 92% 12%

Npenia 40% 4% 79% 41%

Vomiting 24% 1% 47% 6%

Diarrhea 48% 7% 56% 11%

The lack of survival benefit in OS in elderly pts : - is not due to imbalance in comorbidities - might be due to deaths of subsequent disease (cancer) and -less intensive management of relapse

FOLFOX can still be used for the DFS/RFS advantage.

Reduced duration of chemotherapy could improve the tolerability in elderly patients : -IDEA (International Duration Evaluation of Adjuvant Chemotherapy) Colon Cancer Prospective Pooled Analysis

CONCLUSIONS

NSABP C-07

5-FU/LV

FLOX

RANDOMIZE

• Primary end point: DFS

n=1207

n=1200

• Stage II/III colon carcinoma

• ECOG 0-2• No prior chemotherapy• Normal hepatic and renal

function

Yothers G, O’Connell MJ, Allegra CJ et al, J Clin Oncol 29:3768-72, 2011

Overall survival (A) and disease-free survival (B) in the National Surgical Adjuvant Breast and Bowel Project C-07 trial.

Yothers G et al. JCO 2011;29:3768-3774

©2011 by American Society of Clinical Oncology

Overall survival (A) and disease-free survival (B) by age in years (< 70, 70+) in the National Surgical Adjuvant Breast and Bowel Project C-07 trial.

Yothers G et al. JCO 2011;29:3768-3774

©2011 by American Society of Clinical Oncology

N016968 (Roche Trial)

5-FU/LV

N= 942

XELOX

N=944

RANDOMIZE

• Primary end point: DFS

n=1207

n=1200

• Stage II/III colon carcinoma

• ECOG 0-2• No prior chemotherapy• Normal hepatic and renal

function

Haller DG, Tabernero J, Maroun J et al, J Clin Oncol 29:1465-71, 2011

(A) Disease-free survival (DFS), intention-to-treat population; (B) relapse-free survival (RFS), intention-to-treat population; (C) overall survival (OS), intention-to-treat population.

Haller D G et al. JCO 2011;29:1465-1471

©2011 by American Society of Clinical Oncology

NO16968 subgroup analysis of RFS by age

3-year RFSHazard ratio

(95% CI)XELOX 5-FU/LV

Overall

n=1886 72% 67% 0.78 (0.67,0.92)

<70 vs. ≥70 years

<70 years, n=1477 73% 69% 0.78 (0.65,0.93)

≥70 years, n=409 69% 61% 0.83 (0.60,1.15)

NO16968 subgroup analysis of OS by age

5-year OSHazard ratio

(95% CI)XELOX 5-FU/LV

<65 vs. ≥65 years

<65 years, n=1142 80% 77% 0.87 (0.67,1.13)

≥65 years, n=744 73% 70% 0.90 (0.68,1.19)

<70 vs. ≥70 years

<70 years, n=1477 80% 76% 0.86 (0.69,1.08)

≥70 years, n=409 69% 67% 0.94 (0.66,1.34)

Adjuvant Chemotherapy For Stage III Colon Cancer In The Oldest Old: Results Beyond Clinical Guidelines.

Abraham A, Habermann EB, Rothenberger DA, Kwaan M, Weinberg AD, Parsons HM, Gupta P, Al-Refaie WB.

Cancer, 119:395-403, 2012

27,805 Stage III Colon Cancer Patients from the California Cancer Registry

• 32% were 75-85 years old• 13% were >85 years old

• 51% received chemotherapy– 38% of the 75-85 year old persons

• 5-year survival: 55% with vs 43% without adjuvant Rx

– 11% > 85 year old persons• 5-year survival: 43% with vs 38% without adjuvant Rx

• Survival benefits of adjuvant Rx are comparable regardless of age

Effect Of Adjuvant Chemotherapy On Survival Of Patients With Stage III Colon Cancer Diagnosed

After Age 75 Years.

Sanoff H, Carpenter W, Sturmer T, Goldberg RM et alJ Clin Oncol 30: 2624-34, 2012

EFFECTIVENESS DATA SOURCES

Data Source

Key Elements Includes

SEER-Medicare

-Registries cover ~26% of US population -Linked by pt identifier to claims-Restricted to Medicare beneficiaries

- Tumor stage, grade, pt demo- Claims used for treatment, toxicity

NY-Medicare

-All incident cases in NY state-Restricted to 65. younger are in medicaid.

-Tumor stage, grade, pt demo-Claims used for treatment, toxicity.

NY-Medicaid

-All incident cases in NY state-Restricted to <65 older are in Medicare

-Tumor stage, grade, pt demo-Claims used for treatment, toxicity.

CanCORS -Incident cases approached for enrollment in prospective cohort-Multiple diverse practice settings- Intentionally oversampled minorities

-Treatment and tumor from medical records-Pts provided demographic, function by survey

NCCN -21 NCI cancer centers-Since 2005 “outcomes” database for CRC and breast cancer for pts at 8 sites

- Trained registrars at each site collect tumor, treatment information

How Do We Make the Best Choices?

• Reflect on the biology• Apply the data from subset, pooled, and

population based analyses• Do patient centered care:

– Support them– Look at them– Talk to them– Watch them– And adjust the treatment plan as you go