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Breast Cancer Jeffrey Conklin MD FCAP FASCP j [email protected] 906-225-7804

Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

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Page 1: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

Breast Cancer

Jeffrey Conklin MD FCAP FASCP

[email protected]

906-225-7804

Page 2: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

Robbins pathologic basis of disease 8th ed

Page 3: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

IARC Press 2012

Page 4: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

GOALS

- IN SITU AND INVASIVE CARCINOMA

- SIGNIFICANCE OF ER/PR AND HER2

- MOLECULAR TESTING IN THE MANAGEMENT OF PATIENTS WITH BREAST CANCER

Page 5: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

Ductal Carcinoma in Situ (DCIS)

• Definition – ‘ proliferation of malignant epithelial cells that has not breached the myoepithelial layer of the ductolobular system’– Highly heterogeneous

• Presentation

• Morphology

• Biomarker expression

• Underlying cytogenetic alterations

• Natural progression

Page 6: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

Classification of DCIS

• Grade

– G1, G2, G3

– Necrosis

– Morphologic variants

• DCIS with microinvasion

Page 7: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

Differential dx

• Atypical ductal hyperplasia (ADH) and low grade DCIS

• Solid low grade DCIS and lobular carcinoma in situ (LCIS)

• High grade DCIS and pleomorphic lobular carcinoma in situ (PLCIS)

• DCIS with microinvasion

Page 8: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

Robbins pathologic basis of disease 8th ed.

Page 9: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

Robbins Pathologic basis of disease 8th ed.

Page 10: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement
Page 11: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

Molecular testing of breast cancersBeyond hormone receptor and Her2

status

• Intrinsic (molecular) subtypes

• Multigene prognostic test

Page 12: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement
Page 13: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement
Page 14: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement
Page 15: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement
Page 16: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

Breast Cancer

Estrogen Receptor

Negative

Estrogen Receptor

Positive

Basal-like HER2 Enriched Luminal B Luminal A

Other: Molecular apocrine, Claudin low

2000’s

Page 17: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

Do the intrinsic subtypes have value in current clinical practice?

Page 18: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

• “The 12th St Gallen international Breast Cancer Conference (2011) expert panel adopted a new approach to the classification of patients for therapeutic purposes based on the recognition of intrinsic biological subtypes with the breast cancer spectrum”

• “… in the clincal practice the key question is not the seperation fo the molecularly-defined intrinsic subtypes, but the discrimination between patients who will or will not benefit from particular therapies”

Coates 2015

St Gallen 2015

Page 19: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

Molecular diagnostics

• Oncotype DX

• PAM 50

• MammaPrint

Page 20: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

NEJM 2004;351:2817

•668 ER+, N- patients enrolled

in NSABP B14

•RT-PCR assay on paraffin

sections (21 genes)

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 GSMT1

-0.07 x BAG1

<18 Low

18-31 Intermediate

>31 High

OncotypeDx

(Genomic Health, Inc.)

Page 21: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

Oncotype DX

• Predicts the probability of distant recurrence in node negative patients treated with tamoxifen, and in those with ER+ breast cancer

– High

– Intermediate

– Low risk

Page 22: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

0%

5%

10%

15%

20%

25%

30%

35%

40%

0 5 10 15 20 25 30 35 40 45 50

Recurrence Score

Dis

tan

t R

ec

urr

en

ce

at

10

Ye

ars

Low-Risk Group High-Risk Group Intermediate-

Risk Group

Oncotype DX® Clinical Validation:

RS as Continuous Predictor

My RS is 30. What is the chance of recurrence within 10 years?

Page 23: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

What is the impact of RS on clinical decision making?

Breast Cancer Res Treat, 2013

•8 studies

•1437 pts

Page 24: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

Immunophenotyping to Approximate Molecular Subtype Using

Three Markers Brenton, 2005

Luminal A Luminal B HER2 Basal-like

ER + + - -

PR + + - -

HER2 - + + -

Page 25: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement
Page 26: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

• Strongly endocrine responsive, low proliferation, good prognosis “luminal A- like” can be distinguished from less endocrine responsive, higher proliferation, poorer prognosis “luminal B like” tumors using IHC assays for ER, PR and Ki67

• But, use of KI67 requires knowledge of local laboratory values

1

Co

nfe

ren

ce R

ep

ort

Published: 31/03/2015 Received: 24/03/2015

ecancer 2015, 9:518 DOI: 10.3332/ecancer.2015.518

Copyright: © the authors; licensee ecancermedicalscience. This is an Open Access article distributed under the terms of the Creative

Commons Attribution License (http://creativecommons.org/licens es/by/3.0), which permits unrestricted use, distribution, and reproduction

in any medium, provided the original work is properly cited.

Highlights from the 14th St Gallen International Breast Cancer

Conference 2015 in Vienna: Dealing with classification,

prognostication, and prediction refinement to personalize

the treatment of patients with early breast cancer

Angela Esposito, Carmen Criscitiello and Giuseppe Curigliano

Division of Experimental Cancer Medicine, Division of Radiotherapy and Division of Pathology , European Institute of Oncology, Milan, Italy

Correspondence to: Giuseppe Curigliano. Email: [email protected]

Abstract

The refinement of the classification, the risk of relapse and the prediction of response to multidisciplinary treatment for early breast cancer

has been the major theme of the 14th St Gallen International Breast Cancer Consensus Conference 2015. The meeting, held in Vienna,

assembled 3500–4000 participants from 134 countries worldwide. It culminated, on the final day, with the International Consensus Ses-

sion, delivered by 40–50 of the world’s most experienced opinion leaders in the field of breast cancer treatment. The panelist addressed

the “semantic” classification of breast cancer subtypes by pathology-based biomarkers (e.g. estrogen receptor, progesterone receptor and

HER2) vs genomic classifiers. They also refined the biomarker prognostication dissecting the impact of the various gene signatures and

pathologic variables in predicting the outcome of patients with early breast cancer in terms of early and late relapse. Finally they addressed

the challenges stemming from the intra- and inter-observer variability in the assessment of pathologic variables and the role of gene sig-

natures for the prediction of response to specific therapeutic approach such as endocrine therapy and chemotherapy and for personalizing

local treatment of patients with early breast cancer. The vast majority of the questions asked during the consensus were about controversial

issues. The opinion of the panel members has been used to implement guidance for treatment choice. This is the unique feature of the

St. Gallen Consensus, ensuring that the resulting recommendations will take due cognizance of the variable resource limitations in different

countries. Information derived from evidence based medicine and large meta-analyses is of obvious and enormous value. The weakness

of this approach is that it gives particular weight to older trials (which have accumulated more event endpoints) and is frequently unable to

collect sufficient detail on the patients and tumors in the trials to allow assessment of whether the treatments which are better on average

offer equal value to all currently definable patient subgroups. What St Gallen can provide is clinically useful updated breast cancer treat-

ment consensus for the majority of patients treated outside of clinical trials (>90%) in most countries.

Page 27: Breast Cancer - ciclt.netHighlights from th e 14 th St Gallen International Breast Cancer Conference 2015 in Vienna: Dealing with classification, prognostication, and prediction refinement

Conclusions• ER, PR and Her2 testing using ASCO/CAP

guidelines remain the most important ancillary tests in the management of patients with breast cancer

• While molecular subtypes are of conceptual interest, clinically useful subgroups are defined by ER, PR and Her2 assay results

• Among patient’s with ER+/Her2- (“luminal”) disease, KI67 proliferation rate or multigene prognostic tests are of value in further defining risk of recurrence and potential benefit from chemotherapy in addition to endocrine therapy

• The major clinical role of genomic analysis at this time is to identify patients with advanced disease who may be candidates for targeted therapies based on specific genomic alterations