personalized therapy for breast cancer: gene expression

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In Pursuit of Personalized Therapy for Breast Cancer: Gene Expression Signatures Jane S. Chawla, M.D. November 6, 2009

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Page 1: Personalized Therapy for Breast Cancer: Gene Expression

In Pursuit of Personalized Therapy for Breast Cancer: Gene Expression

Signatures

Jane S. Chawla, M.D.November 6, 2009

Page 2: Personalized Therapy for Breast Cancer: Gene Expression

Objectives

Case: Chemotherapy or NOT Who should receive adjuvant chemotherapy? The birth of gene-expression signatures: Intrinsic

breast cancer subtypes Gene Expression Signatures under development

– 70-gene Signature– 21-gene Signature– 2-gene Signature– 50-gene signature

Case revisited

Page 3: Personalized Therapy for Breast Cancer: Gene Expression

Should the patient receive chemotherapy?

Clinical Case

30 y/o WF with newly diagnosed IDC R breast MMG / Ultrasound 1.2 x 1.2 cm mass at 10 o’clock + surrounding

microcalcifications + several suspicious axillary LNs s/p bilateral mastectomies at OSH Surgical Path - 4.6 cm lesion consisting of IDC mixed with DCIS;

intermediate grade; + lymphovascular invasion; 11 (-) LNs; ER+/PR+/HER-2-; T2N0M0

Oncotype DX - -> low risk for recurrence Based on oncotype results her oncologist recommended adjuvant

tamoxifen x 5 years Pt presents for a second opinion

Page 4: Personalized Therapy for Breast Cancer: Gene Expression

How else can we differentiate these tumors?

Who Should Receive Adjuvant Chemotherapy?

65% of women with invasive breast cancer have LN(-) disease Adjuvant chemotherapy improves DFS and OS in pre- and

postmenopausal women <70 with LN+/- breast cancer NSABP B-14 & B-20 showed the benefit of tamoxifen & chemo

in ER+/LN- breast cancer– Likelihood of distant mets at 10 years is about 15%– 85% of pts are overtreated if chemo given to all patients

Those with poor prognostic features benefit most from chemotherapy

Main clinical prognostic factors: age, tumor size, axillary LN status, tumor histology, grade, and hormone-receptor status

Page 5: Personalized Therapy for Breast Cancer: Gene Expression

Sotiriou, C. et al. NEJM, 2009.

Luminal ALuminal B

HER2+Basal-like

Intrinsic Breast CancerSubtypes described by

Perou et al.

Express ↑ amountsOf luminal cyto-Keratins & geneticMarkers of luminalEpithelial cells ofNormal tissue

Express ↑ levels of EGFR, c-kit, & growth factors like hepatocyte growth factor and IGF

Page 6: Personalized Therapy for Breast Cancer: Gene Expression

Gene Expression Profiles or “Signatures”

Composed of a selection of genes felt to provide prognostic or predictive information about tumors

A number of gene expression signatures have been developed to help identify those patients at highest risk for recurrent disease

This may avoid chemotherapy administration to patients at low risk

Page 7: Personalized Therapy for Breast Cancer: Gene Expression

The 70-gene Assay: MammaPrint

Page 8: Personalized Therapy for Breast Cancer: Gene Expression

Mammaprint: Development of the 70-Gene Signature

DNA microarray analysis of 78 breast primary tumors (untreated)– Pts were <55 years of age with T1-2/N0 disease– Pts selected based on outcome: Distant metastases within 5 years

Statistical analysis, “supervised classification,” identified 231 genes correlated with disease outcome Top 70 genes selected

Genes that regulate cell cycle, invasion, metastasis, & angiogenesis Patients categorized as “good prognosis” or “poor prognosis.” Found to be a better predictor of distant metastases within 5 years

than all clinical variables in this study Odds ratio (distant metastases): poor to good prognosis groups =

15

Van ’t Veer, L. Nature, 2002.

Page 9: Personalized Therapy for Breast Cancer: Gene Expression

Retrospective Validation of the 70-Gene Signature

295 women ages ≤ 52 with T1-2, LN-/+ breast cancer– 226 ER+ / 69 ER-– chemo 31%; hormonal 7%; both 7%

61 pts included in the analysis were used to develop 70-gene signature

Van de Vijver. NEJM, 2002.

Page 10: Personalized Therapy for Breast Cancer: Gene Expression

Prognosis Signature Predictive of End Points (10 years)

995% ±2.6%

555% ±4.4%

85 % ±4.3%

51 % ±4.5%

Probability of RemainingMetastasis-free Overall Survival

Page 11: Personalized Therapy for Breast Cancer: Gene Expression

Multivariate Analysis

Independent predictors of risk of distant metastasis as a 1st event

70-gene signature Tumor diameter Chemotherapy

Lymph node status Vascular invasion

Authors report that gene signature is predictive of distant mets in LN+ pts

Multivariate analysis argues that LN status isindependent of gene signature as a predictor

Van de Vijver. NEJM, 2002.

Page 12: Personalized Therapy for Breast Cancer: Gene Expression

TRANSBIG Independent Retrospective Validation Study

Retrospective evaluation of 302 pts from several sites in Europe (age<60, T1-2, LN-) previously untreated

Aim: to examine whether the 70-gene signature had prognostic value independent of the best clinical risk classifications (St Gallens, Nottingham Prognostic Index, & adjuvant online)

Buyse, M. J of NCI, 2006.

Page 13: Personalized Therapy for Breast Cancer: Gene Expression

Does 70-gene Signature have Independent Prognostic Value?

Gene signature adds independent prognostic information to that provided by various risk classifications

The signature remained a statistically significant prognostic factor for time to distant metastases & OS even after adjustment for various risk classifications (HR 2.15 & 2.15, respectively)

Buyse, M. J of NCI, 2006.

Page 14: Personalized Therapy for Breast Cancer: Gene Expression

Forrest Plot of HR for Time to Distant Metastases

Although, average HR of 2.32 is significant…there was wide variation in the HRs among clinical sites.

Therefore model is very sensitive to variation in patient population

ClinicalSites

Buyse, M. J of NCI, 2006.

Page 15: Personalized Therapy for Breast Cancer: Gene Expression

Conclusions of Validation Studies

Studies were retrospective Concern for overfitting with supervised analysis of

relatively small sample sizes and large numbers of genes

The first validation study contained 61 patients from study on which the classifier was built

Claims exceed evidence?

Page 16: Personalized Therapy for Breast Cancer: Gene Expression

Prospective Validation of Mammaprint: The MINDACT Trial

Accrual started 2/07 and is expected to be finished within 3 years

6,000 LN- patients

High risk Chemo +Endocrine

Risk assessed viaClinicopathologicalFactors (adjuvant)+ Mammaprint

Low risk Endocrine

Discordant cases:random assignmentto follow genomicvs clinicopathologicresult

Cardoso, F. JCO, 2008.

Page 17: Personalized Therapy for Breast Cancer: Gene Expression

The 21-gene Recurrence Score: Oncotype DX

Page 18: Personalized Therapy for Breast Cancer: Gene Expression

Oncotype Dx: The 21-Gene Assay Designed to quantify the risk of distant recurrence in patients

with LN(-), ER(+) tumors receiving tamoxifen RT-PCR was used to quantify gene expression from fixed,

parafin-embedded tumor tissue 250 candidate genes selected based on published literature,

genomic databases, & experiments based on DNA arrays on fresh-frozen tissue

Analyzed data from 3 independent studies (447 patients) including tamoxifen-only arm of NSABP trial B-20 to test relation b/w 250 genes and recurrence of breast cancer

From these studies, 21 genes were selected that correlated with proliferation and endocrine response

Page 19: Personalized Therapy for Breast Cancer: Gene Expression

Levels of Gene Expression Determine Recurrence Score

21-gene assay = 16 outcome-related genes + 5 reference genes

Higher expression levels of“favorable” genes = ↓ RS

Higher expression levels of“unfavorable” genes = ↑ RS

A risk score is calculated from 0 -100Cutoff points chosen based onResults of NSABP trial B-20

Sparano, J & Paik, S. JCO, 2008.

Page 20: Personalized Therapy for Breast Cancer: Gene Expression

Prospective Validation Study of 21-Gene Assay

Analyzed tumor blocks of 668 patients on NSABP trial B-14 study that were randomized to tamoxifen

RS was significantly correlated with relapse free interval & OS (p<0.001)

Rate of distant recurrence at 10 years:– Low risk – 6.8%– Intermediate risk – 14.3%– High risk – 30.5% (similar risk

to LN+ patients)

No distant recurrence (low risk) = 93.2%

No distant recurrence (high risk) = 69.5%

p<0.001

Paik, S. JCO, 2004.

Page 21: Personalized Therapy for Breast Cancer: Gene Expression

Other End Points

RS predicted distantrecurrence independent of age & tumor size

The likelihood of distant recurrence ↑ continuously as the RS ↑

Multivariate Cox AnalysisDistant Recurrence as a

Function of RS

Paik, S. JCO, 2004.

Page 22: Personalized Therapy for Breast Cancer: Gene Expression

Does RS Have Prognostic or Predictive Value?

Oncotype was evaluated in both TAM (n=290) & placebo (n=355) arms of the NSABP B-14 trial to determine its prognostic value in an untreated population– Patients with low (p=0.02) and intermediate (p=0.04) RS derived

benefit from tamoxifen, whereas those with high RS (p=0.82) did not– Although sample size limited, seems to indicate that ↓ RS predicts

greater benefit to TAM Population-based external validation study of women with ER+/LN- breast

cancer in The Northern California Kaiser Permanente tumor registry, age <75, untreated & TAM– RS was associated with risk of breast cancer death in tamoxifen-

treated (p=0.003) and untreated patients (p=0.03)– Prognostic in TAM-treated and untreated pts

Paik, S. ASCO Abstract, 2005.

Habel, L. Breast Cancer Research, 2006.

Page 23: Personalized Therapy for Breast Cancer: Gene Expression

Does the 21-Gene Assay Predict Response to Chemotherapy?

NSABP B20 trial: 651 ER+/LN- pts randomized to chemo + TAM (n=424) v. TAM alone (n=227) (ALL PATIENTS)– Chemo – CMF or MF– No distant recurrence - 92.2% (chemo + TAM) v. 87.7% (TAM)– No local/distant relapse - 90.1% (chemo + TAM) v. 83.5% (TAM)– Overall Survival – 89.5% (chemo + TAM) v. 86.4% (TAM)

The TAM alone arm was used in the training set in development of the 21-gene assay

Paik, S. JCO, 2006.

Page 24: Personalized Therapy for Breast Cancer: Gene Expression

Kaplan-Meier Plots for Distant Recurrence

All patients Low Risk RS <18

Intermediate Risk RS 18-30High Risk RS ≥ 31

88%

60%

92.2%

87.7%

Paik, S. JCO, 2006.

Page 25: Personalized Therapy for Breast Cancer: Gene Expression

Relative & Absolute Benefit of Chemotherapy as a Function of RS

27.6%

Low RS mean absolute decrease in distant recurrence rate of -1.1%

High RS mean absolute decrease inDistant recurrence rate of 27.6%

Intermediate RS no substantial benefit,But the uncertainty in the estimate cannotExclude a clinically important benefit

Paik, S. JCO, 2006.

Page 26: Personalized Therapy for Breast Cancer: Gene Expression

Prospective Validation of Oncotype DX: The TAILORX Trial

Dowsett, M. & Dunbier, A. Clin Cancer Res, 2008.

Low RS:HormonalTherapy

High RS:Chemo +HormonalTherapy

Hormonal Therapy Chemo + Hormonal

11,248 ER+/LN- patients

Page 27: Personalized Therapy for Breast Cancer: Gene Expression

The Two-gene Ratio: HOXB13:IL17BR

Page 28: Personalized Therapy for Breast Cancer: Gene Expression

Two-Gene Expression Ratio: HOXB13:IL17BR

Developed to predict response to tamoxifen in ER+/PR+, early stage , LN+/- breast cancers

Performed microarray gene expression analysis of tumors from 60 women treated with adjuvant tamoxifen– Patients selected based on outcome: early relapse or not– RNA isolated from frozen tumor-tissue 9 genes were

identified with p<0.001 2 selected– HOXB13 was overexpressed in tamoxifen recurrences & IL17BR

was overexpressed in tamoxifen nonrecurrences– HOX family of genes implicated in tumor invasion and

metastases– HOXB13 is expression is often up-regulated in breast cancer cells

Ma, X. Cancer Cell, 2004.

Page 29: Personalized Therapy for Breast Cancer: Gene Expression

HOXB13:IL17BR Predicts Response to Tamoxifen

HOXB13 & IL17BR outperformed other predictive markers (quant-itative ER and PR, ERBB2, & EGFR)

HOXB13:IL17BR ratio was a better composite predictor of tamoxifen response

HOXB13:IL17BR was an indepen-dent predictor of treatment outcome when controlled for tumor size & expression of PGR and ERBB2

HOXB13:IL17BR ratio was highly correlated with clinical outcome in an independent 20 pt cohort

Ma, X. Cancer Cell, 2004.

Page 30: Personalized Therapy for Breast Cancer: Gene Expression

Lack of Consistency of 2-gene Signature

STUDY PATIENTS HAZARD RATIOS OUTCOME CUT POINTS

Goetz et al. 206 ER+, LN+/- adjuvant TAM

RFS – 1.98DFS – 2.03OS – 2.4(LN- pts)

•Prognostic in TAM-treated LN- pts only

TAM -1.849

Ma et al. 852 pts (66% untreated & 34% TAM-treated )

RFS – 3.9 (p=.007) in TAM and untreated pts combined

•Prognostic in ER+/LN- pts•Unable to compare TAM & untreated groups

TAM -0.06Untreated – 1.0

Jansen et al. 1,252 LN+/-, 32% adj tx(44% hormonal, 53% chemo, & 3% both)

DFS (LN-, no tx) – 1.74 (p=.006)DFS (TAM) – 2.97 (p<.001)

•Prognostic in untreated, LN-•Predicts response to TAM

Untreated – 1.0TAM – 0.06

Page 31: Personalized Therapy for Breast Cancer: Gene Expression

Limitations of These Studies

Extreme sensitivity to training set since there is such variability in the cut point

Does not seem to be effective in LN+ patients Needs prospective validation

Page 32: Personalized Therapy for Breast Cancer: Gene Expression

Intrinsic Subtypes: PAM50

Page 33: Personalized Therapy for Breast Cancer: Gene Expression

Intrinsic Subtypes: PAM50 Training set =189 breast tumor + 29 normal samples qRT-PCR An expanded gene set of 1,906 genes from other microarray studies

analyzed by hierarchical clustering significant clusters correlated to known intrinisic subtypes narrowed to 50 significant genes (PAM50)

Intrinsic subtypes are useful in predicting RFS of untreated patients & those stratified by ER status

Cox models tested using intrinsic subtypes alone and together with clinical variables (ER status, tumor size, & node status) – ROR-S Subtypes alone– ROR-C Subtype + clinical variables– Models containing both subtype & clinical variables better than either

clinical variables (p<0.0001) or subtype alone (p<0.0001)

Page 34: Personalized Therapy for Breast Cancer: Gene Expression

ROR-C Predicts RFS in Untreated LN- Patients

Only Luminal A group contained low risk patients

ROR-C Scores Stratified by SubtypeKaplan-Meier Plots of RFS of Risk

Groups

Hig

h R

isk

Med

ium

Ris

kL

ow

Ris

k

Risk Groups Predict RFS

Page 35: Personalized Therapy for Breast Cancer: Gene Expression

PAM50 Predicts Response to Neoadjuvant T/FAC

ROR-S v Probability of pCR

Low-risk tumors (luminal A) chemo-insensitive tumors with ↓ probability of pCR

Plateau chemo- resistance among high risk tumors

Sensitivity 94% & NPV 97% for identifying nonresponders toNeoadjuvant chemo

ROCC of ROR-S v pCR

↑ Probability of pCR with ↑ ROR-S

Page 36: Personalized Therapy for Breast Cancer: Gene Expression

PAM50 Prognostic in TAM-treated Patients

786 ER+ TAM treated pts qRT-PCR, PAM50, and ROR calculation done– Multivariate analysis – Intrinsic subtype and ROR

score were independently prognostic (Grade and HER2 were not)

– Low ROR score good outcomes (even if +LN)– Found to be superior to immunohistochemical

markers & adjuvant! Online as a prognosticator

Ellis, M. ASCO, 2009.

Page 37: Personalized Therapy for Breast Cancer: Gene Expression

5 Gene Signatures Compared

Page 38: Personalized Therapy for Breast Cancer: Gene Expression

Is There Concordance Between Gene Expression Profiles?

295 Stage I/II ER +/-

Analyzes done withAll pts & ER+ only

165 untreated20 TAM20 TAM + chemo90 chemo

Fan, C. NEJM, 2006.

Page 39: Personalized Therapy for Breast Cancer: Gene Expression

Relapse-free Survival Overall Survival

IntrinsicSubtype

RecurrenceScore

70-GeneProfile

WoundResponse

Two-GeneRatio

All models except the two-gene ratio modelwere significant predictors of both RFS and OS.

Page 40: Personalized Therapy for Breast Cancer: Gene Expression

Summary of Gene Signatures

Page 41: Personalized Therapy for Breast Cancer: Gene Expression

70-gene Signature

21-geneSignature

2-GeneRatio

IntrinsicSubtypes

AnalysisApproach

Supervised Supervised Supervised Unsupervised

Tissue Type Fresh or FrozenFormalin-Fixed,

Parafin-embedded

Formalin-Fixed, Parafin-

embedded

Formalin-Fixed, Parafin-

embedded

Technique DNA microarrays

Q-RT-PCR Q-RT-PCR Q-RT-PCR

Prognostic Untreated pts age<60, T1-2, LN-

Untreated & TAM-treated ER+/LN-

TAM-treated, ER+/LN- untreated

TAM-treated

PredictiveNO

Benefit to TAM +/- CMF/MF

Response to TAM NO

Validation Retrospective Retrospective Retrospective Retrospective

ProspectiveTrials MINDACT TAILORX NONE NONE

Page 42: Personalized Therapy for Breast Cancer: Gene Expression

Case Revisited

Pathology report showed a poor-risk feature: lymphovascular invasion– Lee et al showed that those with peritumoral

lymphatic and blood vessel invasion had a 4.7x higher risk of relapse

Therefore, her oncotype DX results disregarded started on chemotherapy.

Page 43: Personalized Therapy for Breast Cancer: Gene Expression

Conclusions

No gene signature is currently able to replace all clinicopathological variables in assessing risk of recurrence

What patient populations should be evaluated with gene signatures is actively being investigated

NCCN guidelines suggest that oncotype DX is an option for risk evaluation in 0.6-1 cm tumors with unfavorable characteristics or in >1 cm LN-, ER+/HER2 tumors

Page 44: Personalized Therapy for Breast Cancer: Gene Expression

Resources Dowsett, M. & Dunbier, A. Emerging Biomarkers and New Understanding of Traditional

Markers in Personalized Therapy for Breast Cancer. Clinical Cancer Research 2008; 14: 8019-26. Sotiriou, C et al. Gene-Expression Signatures in Breast Cancer. New England Journal of

Medicine 2009; 360: 790-800. Van’t Veer, L et al. Gene Expression Profiling Predicts Clinical Outcome of Breast Cancer.

Nature 2002; 415: 530-36. Van de Vijver, M. et al. A Gene-Expression Signature as a Predictor of Survival in Breast Cancer.

The New England Journal of Medicine 2002; 347: 1999-2009. Paik, S. et al. A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative

Breast Cancer. The New England Journal of Medicine 2004; 351: 2817-2826. Sparano, J and Paik, S. Development of the 21-Gene Assay and Its Application in Clinical

Practice and Clinical Trials. Journal of Clinical Oncology 2008; 26: 721-728. Paik, S. et al. Gene Expression and Benefit of Chemotherapy in Women With Node-Negative,

Estrogen-Receptor-Positive Breast Cancer. Journal of Clinical Oncology 2006; 24: 3726-3734. Paik, S. et al. Expression of the 21 genes in the Recurrence Score assay and tamoxifen clinical

benefit in the NSABP study B-14 of node negative, estrogen receptor positive breast cancer. Journal of Clinical Oncology 2005; 23: suppl abstr 510.

Page 45: Personalized Therapy for Breast Cancer: Gene Expression

Resources Ma, X. et al. A two-gene expression ratio predicts clinical outcome in breast cancer patients

treated with tamoxifen. Cancer Cell, 2004; 5: 607-16. Ma X. et al. The HOXB13:IL17BR Expression Index Is a Prognostic Factor in Early-Stage Breast

Cancer. Journal of Clinical Oncology, 2006; 24: 4611-4619. Jansen, M. et al. HOXB13-to-IL17BR Expression Ratio Is Related With Tumor Aggressiveness

and Response to Tamoxifen of Recurrent Breast Cancer: A Retrospective Study. Journal of Clinical Oncology, 2007; 25: 662-668.

Cardosa, F. et al. Clinical Application of the 70-Gene Profile: The MINDACT Trial. Journal of Clinical Oncology, 2008; 26: 729-735.

Page 46: Personalized Therapy for Breast Cancer: Gene Expression

Intrinsic Subtype & Response to Paclitaxel

CALGB 9344 adding T to AC in the adjuvant setting led to a 5% absolute improvement in DFS

Of the 42% of pts with complete data, no benefit in the ER+/HER2- pts

Microarray done in 2039 pts and pts were categorized into intrinsic subtypes: 790 luminal A, 340 luminal B, 221 HER2-enriched, 444 basal, and 93 ER-/HER2-/nonbasal

Intrinsic subtype was prognostically significant in multivariate analysis (p<0.001)

No significant interaction of Ki67 with paclitaxel among ER+/HER2- patients

Basal subtype predicted benefit from paclitaxel in multivariate analysis (HR 0.75, p=0.033)

Page 47: Personalized Therapy for Breast Cancer: Gene Expression

Variation in Hazard Ratios over Time

Cardoso, F. JCO, 2008.

Substantial variation over time of adjusted hazard ratio ability of gene signature to identify those who will develop distant relapse

is greatest within 5 years of diagnosis.

Page 48: Personalized Therapy for Breast Cancer: Gene Expression

Sensitivity & Specificity of 70-gene Signature

Sensitivity is as good as other risk classification models

Specificity is slightly better than the other risk classification models

Buyse, M. J of NCI, 2006.

Page 49: Personalized Therapy for Breast Cancer: Gene Expression

Classification of Tumor Samples According to Model

Basal-like, HER2+ and ER-, & luminal B all had a poor outcome by 70-gene, recurrence score, and wound –response models

Normal-like and luminal A had variability in the outcomes