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