Introduction to the 8th Edition of the AJCC Staging System ... · •Genetic counselling and...

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9/12/2019 1 Christy A Russell, MD Senior Director of Medical Affairs, Genomic Health ASCO Update on Diagnosis and Treatment of Early Breast Cancer Agenda Genetics vs Genomics Genetic counselling and testing Genomics in breast cancer and other cancers Prognostic versus Predictive biomarkers Multigene assays of early breast cancer 2 Genetics and Genomics

Transcript of Introduction to the 8th Edition of the AJCC Staging System ... · •Genetic counselling and...

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    Christy A Russell, MD

    Senior Director of Medical Affairs, Genomic Health

    ASCO Update on Diagnosis and Treatment of Early Breast Cancer

    Agenda

    •Genetics vs Genomics•Genetic counselling and testing

    •Genomics in breast cancer and other cancers

    •Prognostic versus Predictive biomarkers

    •Multigene assays of early breast cancer

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    Genetics and Genomics

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    WHO Definitions: Genetics & Genomics

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    GENETICS: The study of heredity

    GENOMICS: The study of genes and their functions

    Genetics examines the function of a single gene (or

    chromosome) while Genomics examines groups of genes and

    their relationships in order to identify their combined influence on

    an organism

    Clinical Utility of Genetics in Oncology

    • Can be used to predict risk of disease development

    ̶ BRCA1 & 2: Increased risk of breast, ovarian, and other

    tumors

    ̶ APC (Adenomatous polyposis coli): Increased risk of

    familial adenomatous polyposis/colon CA

    • Can be used to locate “targets” for intervention

    • Generally involves mutations, variations

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    Clinical Utility of Genomics in Oncology

    • Early and accurate diagnoses

    • Greater individualization of treatment decisions

    • Targeted therapy based on individual disease

    • Greater likelihood of clinical trial success

    • More rational drug discovery

    • Faster drug development

    – Patient selection

    – Trial design

    Normal gene expression and interaction - BIOLOGY

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    Let’s Start With Genetics

    Slide 4

    Breast Cancer Risk Factors

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    The likelihood of having a BRCA mutation is:

    Hereditary Breast and Ovarian Cancer Syndrome (HBOC)

    Current Guidelines

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    Controversies to Consider

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    Summary for Panel Testing

    • Testing of BRCA1, BRCA2, and moderate risk predisposition genes may result in improved clinical management of patients

    • Accurate population-based and family history-based risk estimates for each gene are needed.

    • Age-related risks must be defined for improved medical management of mutation carriers.

    Besides Early Diagnosis, Why Does Knowing Genetic Status Matter?

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    Final Thoughts

    Now on to Genomics!

    One More Important Concept:Prognostic Versus Predictive Biomarkers

    • Prognostic biomarkers: A prognostic biomarker provides information on a cancer outcome (eg,

    disease recurrence, disease progression)

    • Predictive biomarkers: A biomarker is predictive if the treatment effect is different for biomarker-

    positive patients compared with biomarker-

    negative patients

    • At least 2 comparison groups are needed (eg, 2 different treatment arms in a randomized trial)

    • Examples: HER2, ER

    • To determine whether a biomarker is potentially predictive, a formal test for an interaction between

    the biomarker, treatment group, and outcome must be statistically significant (P

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    Contr

    ol

    Review of Prognosis Versus Prediction30%

    25%

    20%

    15%

    10%

    5%

    0%

    0 5 10 15 20 25 30 35 40

    30%

    25%

    20%

    15%

    10%

    5%

    0%

    0 5 10 15 20 25 30 35 40

    Prognostic biomarkers are measured before treatment to indicate long-term outcome for patients untreated or receiving standard treatment

    Predictive biomarkers are measured before treatment to identify who will or will not benefit from a particular treatment

    Treatme

    nt

    Contr

    ol

    Treatme

    nt

    Ris

    k o

    f R

    ecurr

    ence

    Ris

    k o

    f R

    ecurr

    ence

    Score

    Score

    Simon et al. J Natl Cancer Inst. 2009.

    Patients

    Receiving

    Significant

    Benefit

    Patients

    Receivin

    g No

    Benefit

    No Differential Treatment

    Benefit

    Breast Cancer Mortality: Endocrine Therapy +/- Chemotherapy

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    Lancet 2012;379:432-44

    Approximately 1/3 Reduction

    In Br Ca Mortallity, Regardless

    Of Subgroup

    Moving from Empiric to Precision Medicine

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    Early-stage Disease:

    Answering the difficult question

    Genomic (Multigene) Tools

    Examples of Multigene Assays in Oncology

    • INVASIVE BREAST CANCER

    • Breast Cancer Index (Biotheranostics)

    • Endopredict (Myriad Genetics)

    • Mammaprint (Agendia)

    • Oncotype DX (Genomic Health, Inc)

    • Prosigna (Nanostring Technologies, Inc)

    • COLON CANCER

    • Coloprint (Agendia)

    • Gene FX Colon (Helomics)

    • Oncodefender (Everest Genomics)

    • Oncotype DX (Genomic Health, Inc)

    • PROSTATE CANCER

    • Decipher (Genome DX Biosciences)

    • Oncotype DX (Genomic Health, Inc)

    • Prolaris (Myriad Genetics)

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    Precision Medicine: Role of Biomarkers in Breast Cancer

    • 1st generation: protein expression ~ 1970• ER/PR IHC

    • 2nd generation: gene amplification ~ 1990• HER2/neu FISH

    • 3rd generation: gene expression ~ 2004• Oncotype DX, Mammaprint, BCI

    • PAM50, Endopredict

    • 4th generation: mutational profiling ~ 2010• Commercial and academic assays

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    Microarray-based Technology

    Gene Cluster Diagram

    Sorlie T et al. PNAS. 2001;98(19):10869-10874Sørlie et al. Proc Natl Acad Sci U S A. 2003;100:8418.

    Full genecluster diagramof 496 intrinsicgenes

    Classification Based on Gene-Expression

    Carey LA et al. J Am Med Assoc 2006:295(12):2492-2502.

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    Copyright ©2003 by the National Academy of Sciences

    Prognosis of Various Subsets

    Sorlie et al PNAS 2003

    van de Vijver MJ et al. N Engl J Med 2002;347:1999-2009.

    Prognostic Factors in ER Positive Breast Cancer

    Presented By Harold Burstein at 2019 ASCO Annual Meeting

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    Slide 31

    Slide 32

    Moving Beyond a “One Size Fits All” Approach Management of ER+ Early Stage Breast Cancer

    • Adjuvant chemotherapy reduces the 10-year mortality rate for breast cancer by about 30% as shown in multiple trials

    • Decisions to give adjuvant chemotherapy were formerly based on level of inherent risk of recurrence (prognosis) rather than on factors predictive of response to therapy

    • The relative risk reduction with chemotherapy is independent of patient age, nodal status, tumor size, or tumor grade

    EBCTCG. Lancet. 2012.

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    NIH Consensus Development Panel, 2001

    • It is accepted practice to offer cytotoxic chemotherapy to node

    negative women with primary breast cancers larger than 1 cm

    in diameter

    • For women with lymph node-negative cancers smaller than 1

    cm in diameter, the decision to consider chemotherapy should

    be individualized.

    JNCI Monographs 2001: 30: 5-15

    Most ER+ Node-negative Patients Don’t Recur:

    Only ~4% Benefit from Addition of Chemotherapy

    0 2 4 6 8 10 12

    Years

    0.0

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1.0

    All Patients

    Tam + ChemoTam P = 0.02

    N Events

    424 33

    227 31 Pro

    po

    rtio

    n w

    ith

    ou

    t D

    ista

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    Recu

    rren

    ce

    NSABP B-20: Tamoxifen vs Tamoxifen + Chemo – All 651 Patients

    Paik et al. J Clin Oncol. 2006.

    4.4%

    absolute

    benefit from

    tam + chemo

    at 10 years

    At10 yr:92%

    88%

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    Agendia, Inc.

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    (70-Gene Test)

    MammaPrint®: 70 Gene cDNA Microarray Expression Profile

    No distant metastases

    Group (< 5 yrs)

    Full genome

    gene

    expression

    analysis

    Distant metastasesGroup (< 5 yrs) Prognosis reporter genes

    Netherlands Cancer Institute

    Frozen Tissue Bank

    Tumor samples of

    known clinical outcome

    Prognostic Risk Assessment Data

    MINDACT

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    MINDACT: Study Design

    EnrollmentN=6693

    Clinical Risk (C)Adjuvant! Online

    Genomic Risk (G)70-gene signature

    C-low/G-low N=2745C-low/G-high

    N=592C-high/G-low

    N=1550C-high/G-high

    N=1806

    Discordant

    Randomized ChemotherapyNo Chemotherapy

    Modified from Cardoso et al. N Engl J Med. 2016.

    “We sought to provide prospective evidence of the clinical utility of the addition of the 70-gene

    signature to standard clinical–pathological criteria in selecting patients for adjuvant chemotherapy.”

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    Clinical Risk Assessment in the MINDACT Trial

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    MINDACT: Enrollment and Risk Groups Included in the AnalysesOnly 644 out of 6693 Patients Were Used in the Primary Analysis

    Modified from Cardoso et al. N Engl J Med. 2016.

    EnrollmentN = 6693

    344 assigned to receive chemo

    346 not assigned to receive chemo

    2634 had C-low and G-low at enrollment

    (2745*)

    690 had CLINICAL LOW RISK and genomic high risk at

    enrollment (592*)

    1497 had CLINICAL HIGH RISK and Genomic low risk at

    enrollment (1550*)

    1873 had C-high and G-high at enrollment

    (1806*)

    *Number of patients in this group after

    lab error correction appliedR

    749 assigned to receive chemo

    748 not assigned to receive chemo

    R

    53 had a change

    in risk

    42 received

    chemotherapy

    4 were ineligible

    57 had a change in risk

    76 received chemotherapy

    5 had unknown

    chemotherapy status

    4 were ineligible

    26 had a change in

    risk

    128 received

    chemotherapy

    9 had unknown

    chemotherapy status

    11 were ineligible

    21 had a change in

    risk

    85 received

    chemotherapy

    1 had unknown

    chemotherapy status

    12 were ineligible

    224 were included in

    the per-protocol

    population

    254 were included

    in the per-protocol

    population

    592 were included

    in the per-protocol

    population

    636 were included in

    the per-protocol

    population

    644 were included

    in the primary-test

    population

    Intent-to-treat population

    Per protocol population

    Genomic high (G-high): 70-gene assay high risk

    Genomic low (G-low): 70-gene assay low risk

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    Click to edit Master title style Click to edit Master title styleClick to edit Master title style Click to edit Master title style

    MINDACT: Primary Objective Was Met5-Year Rate of Distant Metastasis–Free Survival (DMFS)

    Primary Objective:

    In patients with high clinical risk, low

    genomic risk (no chemotherapy), is the lower

    boundary of the 95% confidence interval (CI)

    for the rate of 5-year DMFS 92% or higher?

    Yes, patients not treated with chemotherapy

    (CT) had a 5-year DMFS rate of: 94.7%

    (95% CI, 92.5 to 96.2)

    Heterogeneous primary test population:

    • N0, N1, N2

    • ER/PR+, ER-/PR-

    • HER2+ & HER2-

    Cardoso et al. N Engl J Med. 2016.; Piccart et al. AACR. 2016.

    ER: estrogen receptor

    HER2: human epidermal growth factor receptor 2

    PR: progesterone receptor

    CI: confidence interval

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    Hormone Receptor–Positive/Node-Negative and Positive Populations

    MINDACT

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    MINDACT: 70-Gene Assay Has Not Been Show to be Predictive of Chemotherapy Benefit in Node-Negative Patients – ITT Population

    Cardoso et al. N Engl J Med. 2016.

    DMFS: distant metastasis–free survival

    ITT: intent-to-treat population

    CT: chemotherapy

    CI: confidence interval

    N=666 patients

    Despite high-risk 70-Gene Assay results, patients receive no benefit from

    chemotherapy

    Despite low-risk 70-Gene Assay results, patients show a trend towards

    chemotherapy benefit (31% risk reduction)

    N=787 patients

    (70-Gene Assay Low) (70-Gene Assay High)

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    Low-Risk 70-Gene Assay Patients Showed a Consistent Improvement When Randomized to Chemotherapy – ITT PopulationClinical High-Risk/Genomic Low-Risk (MammaPrint® Low)

    29% relative risk reduction

    Cardoso et al. N Engl J Med. 2016.

    Chemotherapy

    No Chemotherapy

    Year Disease-Free Survival CTPatients

    (N)Events

    (O)% at 5 yr(95% CI)

    Hazard Ratio (95% CI)

    P-value

    Clinical high-risk Yes 749 54 92.9 (90.5-94.7) 0.71 (0.50-1.01) 0.055

    MammaPrint low-risk No 748 78 90.1 (87.5-92.1) 1.00

    70-gene assay low-risk patients experience a disease-

    free survival benefit from

    chemotherapy

    ~3%

    absolute benefit

    ITT: intent-to-treat population

    CT: chemotherapy

    CI: confidence Interval

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    Patients With Low-Risk 70-Gene Assay Results Showed a Consistent Improvement When Randomized to Chemotherapy

    Risk Group, Outcome,

    and Treatment Strategy*Chemotherapy

    No. of

    Patients

    No. of

    Events

    Percentage With Outcome

    of 5 Years (95% CI)

    Hazard Ratio

    (95% CI)

    P-

    Value

    Clinical high-risk and

    genomic low-risk

    DMFS35% relative risk

    reduction

    Clinical high-risk Yes 592 22 96.7 (94.7-98.0) 0.65 (0.38-1.10) 0.11

    MammaPrint low-risk No 636 37 94.8 (92.6-96.3) 1.00

    Disease-free survival

    Clinical high-risk Yes 592 39 93.3 (90.7-95.2) 0.64 (0.43-0.95) 0.03

    MammaPrint low-risk No 636 66 90.3 (87.6-92.4) 1.00

    Overall survival

    Clinical high-risk Yes 592 10 98.8 (97.4-99.5) 0.63 (0.29-1.37) 0.25

    MammaPrint low-risk No 636 18 97.3 (95.6-98.4) 1.00

    Adapated from Cardoso et al. N Engl J Med. 2016.

    *Per-protocol population.

    CI: confidence interval

    DMFS: distant metastasis-free survival

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    Hormone Receptor-Positive/Node-Positive Population

    MINDACT

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    MINDACT: Node-Positive PatientsWhy Did Node-Positive Patients Do Better Than Node-Negative Patients?

    Node-Negative: Clinical High/Genomic Low Node-Positive: Clinical High/Genomic Low

    Median follow-up for lymph node-positive patients is

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    The 21-gene assay uses a genomic approach to predict recurrence risk and response to adjuvant therapy

    RS = + 0.47 x HER2 Group Score

    - 0.34 x ER Group Score

    + 1.04 x Proliferation Group Score

    + 0.10 x Invasion Group Score

    + 0.05 x CD68

    - 0.08 x GSTM1

    - 0.07 x BAG1

    PROLIFERATION

    Ki-67

    STK15

    Survivin

    Cyclin B1

    MYBL2

    ESTROGEN

    ER

    PR

    Bcl2

    SCUBE2

    INVASION

    Stromelysin 3

    Cathepsin L2

    HER2

    GRB7

    HER2

    BAG1GSTM1

    REFERENCEBeta-actinGAPDH

    RPLPOGUS

    TFRC

    CD68

    16 Cancer and 5 Reference Genes From 3 Studies

    Category RS (0 -100)

    Low risk RS

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    Rationale for Adjusting Breast Recurrence Score® Midrange to

    11-25 for TAILORx Trial

    NSABP B-20

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    Sparano et al. J Clin Oncol. 2008.

    Significant chemotherapy benefit with Breast Recurrence Score (RS) results

    ≥ 26 similar to RS result ≥ 31

    Patients 10-Year DRFS (%)Recurrence by Addition

    of Chemotherapy

    RS No. % TAM TAM + chemo HR 95% CI P

    0-10 177 27 98 95 1.788 0.360 to 8.868 0.471

    11-25 279 43 95 94 0.755 0.313 to 1.824 0.531

    26-100 195 30 63 88 0.285 0.148 to 0.551 < 0.0001

    DRFS: distant recurrence-free survival

    RS: Breast Recurrence Score result

    TAM: tamoxifen

    Absolute Benefit = 25% Relative Risk Reduction = 71%

    TAILORx Design: Treatment Assignment & Randomization

    Accrued Between April 2006 – October 2010

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    HR+/HER2- Node Negative Breast Cancer

    21-Gene RS

    (N=10,273)

    Arm A: Low RS 0-10

    Endocrine Therapy (ET)

    (N=1629)

    Mid-Range RS 11-25

    RANDOMIZE

    (N=6711)

    Arm D: High RS 26-100

    ET + Chemo

    (N=1389)

    ARM B: Experimental ArmET Alone(N=3399)

    ARM C: Standard ArmET + Chemo

    (N=3312)

    RS: Breast Recurrence Score® result

    Stratification Factors:• Menopausal Status• Planned Chemotherapy• Planned Radiation• RS 11-15, 16-20, 21-25

    TAILORx Results: Endocrine Therapy Alone Was Not Inferior to Chemoendocrine

    Therapy in Patients With RS 11-25 (Arms B & C)

    Primary Endpoint: 9-Year Invasive Disease-Free Survival (iDFS) in ITT Population

    836 iDFS events after

    median follow-up of 7.5

    years

    63

    ITT: intent-to-treat

    iDFS: invasive disease-free survival

    RS: Breast Recurrence –Score® result

    ET: endocrine therapySparano et al. N Engl J Med. 2018.

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    TAILORx Results: Patients With RS 11-25 (Arms B & C) Have a Very Low Risk of Distant

    Recurrence

    Secondary Endpoint: 9-Year Distant Recurrence–Free Interval in ITT Population

    199 of 836 (23.8%) were distant recurrences

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    Sparano et al. N Engl J Med. 2018.

    ITT: intent-to-treat

    DRFI: distant recurrence–free interval

    RS: Breast Recurrence Score® result

    ET: endocrine therapy

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    TAILORx – Exploratory Subgroup Analysis

    TAILORx Results: Exploratory Analysis in Clinical Subgroups to Identify Chemotherapy Benefit in Recurrence Score® 11-25

    • Exploratory interaction tests were performed for subgroups that may derive chemotherapy benefit in the Breast Recurrence Score 11-25 group (ITT population)

    • Exploratory analysis subgroups:

    • Recurrence Score subgroups 11-15 vs 16-20 vs 21-25; 11-17 vs 18-25

    • Clinicopathologic subgroups: tumor size, tumor grade, clinical risk category

    • Menopausal status

    • Age

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    Sparano et al. N Engl J Med. 2018. ITT: intent-to-treat

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    TAILORx Results: Exploratory Analysis of Chemotherapy Treatment Interactions in Recurrence Score® Results 11-25 Arms

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    Recurrence Score result11-15 vs 16-20 vs 21-25

    11-17 vs 18-25

    Tumor size (≤2 cm vs >2 cm)

    Grade (low vs int vs high)

    Menopausal status (pre vs post)

    Clinical risk category (high vs low)

    Sparano et al. N Engl J Med. 2018.

    No statistically significant chemotherapy treatment interactions were found in any

    of these subgroups

    TAILORx Results – ITT Population: Exploratory Analysis of Chemotherapy Treatment Interactions in Recurrence Score (RS) 11-25 Arms

    Statistically significant chemotherapy treatment interactions

    • Age (≤50, 51-65, >65) and chemotherapy benefit• IDFS (p=0.003)

    • RFI (p=0.02)

    • Age (or menopause), RS (11-15, 16-20, 21-25), and chemotherapy benefit• IDFS - Age-RS (p=0.004)

    • IDFS - Menopause-RS (p=0.02)

    There was no statistically significant chemotherapy treatment interaction seen with patient age and RS for distant recurrence–free interval

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    Sparano et al. N Engl J Med. 2018.

    IDFS: Invasive Disease Free Survival

    RFI: Recurrence Free Interval

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    ET Alone ET Alone

    CHEMO + ET CHEMO + ET

    ET: endocrine therapy

    TAILORx Results: Association Between Continuous Recurrence Score® Results 11-25 and 9-Year Distant Recurrence Rate by Treatment Arms Stratified by Age

    Sparano et al. N Engl J Med. 2018.

    >50 Years (n=4495)≤50 Years (n=2216)

    The magnitude of chemotherapy benefit in patients ≤50 years increases with increasing

    Recurrence Score result, but was not statistically significant

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    TAILORx Results: A Small Chemotherapy Benefit is Seen in Women≤50 Years (N = 3054) With Recurrence Score® Results 16-20 and 21-259-Year Freedom From Distant Recurrence

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    Sparano et al. N Engl J Med. 2018.

    ITT: intent-to-treat

    ET: endocrine therapy

    CT: chemotherapy

    RS: Recurrence Score results

    *These differences in distant recurrences, while not statistically significant, may be clinically significant.

    * *

    Clinical Risk*

    Low High

    Recurrence

    Score

    0-25(n = 8068)

    75% 25%

    26-100(n = 1359)

    43% 57%

    TAILORx Results: 21-Gene Assay Prevents Over- and Undertreatment of Patients

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    Sparano et al. N Engl J Med. 2018.

    Would have been

    overtreated

    *low clinical risk defined by low grade and tumor size ≤ 3 cm, intermediate grade and tumor size ≤ 2 cm, and high grade and tumor size ≤ 1 cm;

    high clinical risk defined as all other cases with known values for grade and tumor size

    Would have been

    undertreated

    Consistent Inclusion of 21-Gene Assay in National Treatment GuidelinesNode-Negative, Hormone Receptor-Positive, HER2-Negative Invasive Breast Cancer

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    (pT1-3, pN0) Tumor >0.5 cmStrongly consider 21-

    gene assay

    RS* 0-25

    RS 26-30

    RS 31-100

    Adjuvant endocrine therapy*

    Adjuvant endocrine therapy

    or

    Adjuvant chemotherapy followed

    by endocrine therapy

    Adjuvant endocrine therapy +

    adjuvant chemotherapy

    Adapted with permission from the NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelinese for Breast Cancer V.3.2018. © 2018 National Comprehensive Cancer Network, Inc. All rights reserved. The NCCN Guidelines® and illustrations herein may not be reproduced in any form for any purpose without the express written permission of NCCN. To view the most recent and complete version of the NCCN Guidelines, go online to NCCN.org. The NCCN Guidelines are a work in progress that may be refined as often as new significant data becomes available. NCCN does not endorse any product or therapy. NCCN makes no warranties of any kind whatsoever regarding their content, use or application and disclaims any responsibility for their application or use in any way.

    *In the TAILORx study, exploratory analyses of patients ≤50 years with RS

    16-25 revealed lower distant recurrence rates for those randomized to

    chemoendorine therapy; adjuvant chemotherapy may be considered for

    these patients.

    *RS: Recurrence Score® result

    ASCO® GuidelinesNCCN® Guidelines

    RS 0-25, Age >50

    RS 0-15, Age ≤50

    RS 16-25, Age ≤50

    RS 31-100, All Ages

    May offer endocrine therapy alone

    May offer chemoendocrine therapy

    Should be considered for

    chemoendocrine therapy

    RS 26-30, All Ages May offer chemoendocrine therapy

    Patients Recommendation

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    TAILORx-Defined Cutoff By Age for Definitively Determining Chemotherapy Benefit with the 21-Gene Assay

    (Node-negative, HR-positive, HER2-negative)

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    1. Sparano et al. J Clin Oncol. 2008.; 2. Genomic Health (data on file) RS distributions in tested US N-, HR+, HER2- patients in 2017

    Subgroup Age >50 years

    RS 0-10No CT Benefit

    RS 11-15No CT Benefit

    RS 16-20No CT Benefit

    RS 21-25No CT Benefit

    RS 26-100CT Benefit1

    ~85% of patients2 ~15% of patients2

    RS: Breast Recurrence Score® result

    TAILORx-Defined Cutoff By Age for Definitively Determining Chemotherapy Benefit with the 21-Gene Assay

    (Node-negative, HR-positive, HER2-negative)

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    1. CT benefit for distant recurrence from Sparano 2018 ASCO presentation.; 2. Sparano et al. J Clin Oncol. 2008.; 3. Genomic Health (data on file) RS distributions in tested US N-, HR+, HER2- patients in 2017

    Subgroup Age ≤50 years

    RS 0-10No CT Benefit

    RS 11-15No CT Benefit

    RS 16-20~1.6% CT Benefit1

    RS 21-25~6.5% CT Benefit1

    RS 26-100CT Benefit2

    ~50% of patients3 ~23% of patients3 ~12% of patients3 ~15% of patients3

    RS: Breast Recurrence Score® result

    Using the 21-Gene Assay in Node-Positive Disease after TAILORx

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    Oncotype DX Breast Recurrence Score® Test for Treatment Decisions in Node-Positive Disease: RxPONDER Trial Schema

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    pN1mic & pN1, HR+, HER2- breast cancer

    Study-sponsored RS testing

    RS already availableRS ≤25

    RS ≤25RS >25

    or

    Discuss alternative

    clinical trials

    Randomize

    Randomization stratification factors:

    • RS

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    61.4%

    36.1%

    82.1%

    29.4%

    38.6%

    34.5%

    17.9%

    OPTIMA study stratified risk comparing Oncotype DX with prognostic MGAs in the same patients

    Oncotype DXBreast Recurrence

    Score® assay

    0-25 26-100Recurrence Score® results:

    Low Intermediate HighRisk categories:

    Prosigna

    MammaPrint

    Adapted from: Bartlett et al. JNCI J Natl Cancer Inst, 2016, Vol. 108, No. 9

    Data from Table 3, IHC4-AQUA and conventional IHC4 data not shown

    Pooled risk group distributions, N=313 early breast cancer patients

    Conclusions

    Genetics and Genomics

    • It is important to understand who is at risk for developing a hereditary breast cancer• Challenges:

    There are many different multigene tests to choose from.

    There are an inadequate number of genetic counsellors to screen and inform patients.

    Results are not definitive with many VUS within each test.

    There are deleterious genes which only slightly increase the risk of developing cancer.

    • There are multiple multigene assays which aid in the assessment of prognosis of women with ER+, HER2- early breast cancer

    • It is important to understand the concepts of prognostic genomic markers versus predictive markers

    • These genomic assays have been instrumental in reducing the exposure of women with breast cancer to unnecessary chemotherapy and to identify those who will truly benefit.

    • Of the 6 multigene assays commercially available, only two have been a part of larger randomized clinical trials

    • Future studies will continue to define the best therapy for the right patient.

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    82

    Questions?