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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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Journal ArticleDOI

The Spectrum of Triple-Negative Breast Disease: High- and Low-Grade Lesions.

TL;DR: The heterogeneity of triple-negative disease is described, focusing on the histologic and molecular features of the low-grade lesions, which may be of diagnostic and possibly therapeutic utility.
Journal ArticleDOI

How shall we treat early triple-negative breast cancer (TNBC): from the current standard to upcoming immuno-molecular strategies

TL;DR: The current and upcoming treatment options of T NBC are shared in the framework of scientific and clinical data, especially focusing on early stage of TNBC.
Journal ArticleDOI

Expression of PD-L1 in triple-negative breast cancer based on different immunohistochemical antibodies

TL;DR: The absence of PD-L1 (28-8) staining in immune cells was associated with shorter disease free survival (DFS) and overall survival (OS) and with shorter OS in multivariate Cox analysis (hazard ratio: 5.429, 95 % CI 1.214–24.28, p = 0.027).
Journal ArticleDOI

Expression of epithelial-mesenchymal transition–related markers in triple-negative breast cancer: ZEB1 as a potential biomarker for poor clinical outcome

TL;DR: Findings indicate that expression of EMT-related markers in TNBCs can be a signature of a certain subgroup of TNBC, which is associated with metaplastic carcinoma, and ZEB1 expression can serve as a potential biomarker to define a sub group of T NBC associated with poor clinical outcomes.
Journal ArticleDOI

Is the future of personalized therapy in triple-negative breast cancer based on molecular subtype?

TL;DR: This work reviewed published TNBC molecular classifications to identify major groupings that have potential for clinical trial development and linked these categories of TNBC according to their gene-expression signatures, biological function, and clinical outcome.
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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