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Open AccessJournal ArticleDOI

Differential response to neoadjuvant chemotherapy among 7 triple-negative breast cancer molecular subtypes

TLDR
The clinical relevancy of the 7-subtype classification of triple-negative breast cancer reported by Lehmann and colleagues is confirmed, and may spur innovative personalized medicine strategies for patients with TNBC.
Abstract
Purpose: The clinical relevancy of the 7-subtype classification of triple-negative breast cancer (TNBC) reported by Lehmann and colleagues is unknown. We investigated the clinical relevancy of TNBC heterogeneity by determining pathologic complete response (pCR) rates after neoadjuvant chemotherapy, based on TNBC subtypes. Experimental Design: We revalidated the Lehmann and colleagues experiments using Affymetrix CEL files from public datasets. We applied these methods to 146 patients with TNBC with gene expression microarrays obtained from June 2000 to March 2010 at our institution. Of those, 130 had received standard neoadjuvant chemotherapy and had evaluable pathologic response data. We classified the TNBC samples by subtype and then correlated subtype and pCR status using Fisher exact test and a logistic regression model. We also assessed survival and compared the subtypes with PAM50 intrinsic subtypes and residual cancer burden (RCB) index. Results: TNBC subtype and pCR status were significantly associated ( P = 0.04379). The basal-like 1 (BL1) subtype had the highest pCR rate (52%); basal-like 2 (BL2) and luminal androgen receptor had the lowest (0% and 10%, respectively). TNBC subtype was an independent predictor of pCR status ( P = 0.022) by a likelihood ratio test. The subtypes better predicted pCR status than did the PAM50 intrinsic subtypes (basal-like vs. non basal-like). Conclusions: Classifying TNBC by 7 subtypes predicts high versus low pCR rate. We confirm the clinical relevancy of the 7 subtypes of TNBC. We need to prospectively validate whether the pCR rate differences translate into long-term outcome differences. The 7-subtype classification may spur innovative personalized medicine strategies for patients with TNBC. Clin Cancer Res; 19(19); 5533–40. ©2013 AACR .

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Book ChapterDOI

Molecular Classification and Testing of Breast Carcinoma

TL;DR: This chapter describes models for the molecular classification of breast cancer, current genetic signatures available for predicting prognosis, and future prospects for monitoring disease and response to therapy.

Chemical Systems Biology Studies of Triple Negative Breast Cancer Cell Lines

Prson Gautam
TL;DR: The human Microbiome in Parkinson’s Disease and Primary Sclerosing Cholangitis, Urine Testing and Abuse Patterns of Drugs and New Psychoactive Substances, and Advances in Understanding the Mimicking of Drug Metabolism and the Oxidation of Phosphopeptides are reviewed.
Journal ArticleDOI

Neoadjuvant Chemotherapy for Breast Cancer: Moving Beyond Pathological Complete Response in the Molecular Age

TL;DR: In this paper, a review of the role of neoadjuvant chemotherapy in breast cancer is presented, focusing on practical issues for pathologists, including predicting response, optimising specimen handling, size measurement and assessment of residual disease, and recent advances in management of axilla.
Journal ArticleDOI

Androgen receptor expression in patients with triple negative breast cancer treated with neoadjuvant chemotherapy: a single institution study

TL;DR: A retrospective analysis to evaluate pathologic complete response (pCR) rates, disease-free survival (DFS) and overall survival (OS) in patients with AR positive and AR negative TNBC treated with neoadjuvant chemotherapy found no association with AR status and pathologic responses or survival outcomes.
Journal ArticleDOI

Triple negative breast cancer – Understanding the clinical implications of heterogeneity

TL;DR: A better understanding of oncogenic drivers and the pathogenicity of germline and somatic mutations has also paved the way to new targeted treatments, leading to the development of biomarker-driven trials to better select targeted treatments.
References
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Journal ArticleDOI

Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

TL;DR: Survival analyses on a subcohort of patients with locally advanced breast cancer uniformly treated in a prospective study showed significantly different outcomes for the patients belonging to the various groups, including a poor prognosis for the basal-like subtype and a significant difference in outcome for the two estrogen receptor-positive groups.
Journal ArticleDOI

Summaries of Affymetrix GeneChip probe level data

TL;DR: It is found that the performance of the current version of the default expression measure provided by Affymetrix Microarray Suite can be significantly improved by the use of probe level summaries derived from empirically motivated statistical models.
Journal ArticleDOI

Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies

TL;DR: Gen expression profiles from 21 breast cancer data sets and identified 587 TNBC cases may be useful in biomarker selection, drug discovery, and clinical trial design that will enable alignment of TNBC patients to appropriate targeted therapies.
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