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

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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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CD44v9 as a poor prognostic factor of triple-negative breast cancer treated with neoadjuvant chemotherapy

TL;DR: High CD44v9 expression in pre-NAC samples was associated with poor prognosis in TNBC patients treated with NAC, especially for those in whom pCR was not achieved.
Journal ArticleDOI

Role of estrogen receptor coregulators in endocrine resistant breast cancer

TL;DR: In this paper, a review explores the current state of ERα coregulator signaling and the utility of targeting the estrogen receptor (ERα) axis in treating advanced breast cancer (BC).
Journal ArticleDOI

A Six-Epithelial-Mesenchymal Transition Gene Signature May Predict Metastasis of Triple-Negative Breast Cancer.

TL;DR: In this article, the authors used Gene Expression Omnibus (GEO) to identify signal pathways and gene signatures associated with metastasis in triple-negative breast cancer (TNBC) patients.
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A vicious circle in breast cancer: The interplay between inflammation, reactive oxygen species, and microRNAs

TL;DR: The interplay between inflammation, ROS, and miRNAs as anticancer and tumor promoter molecules in BC is discussed and may lead to new opportunities for therapy in BC.
Journal ArticleDOI

Triple-negative pleomorphic lobular carcinoma and expression of androgen receptor: Personal case series and review of the literature

TL;DR: Results reveal that PLC exhibits various surrogate molecular subtypes and that the triple-negative subtype frequently expresses androgen receptor (AR) immunoreactivity, and implicates that triple- negative PLC can be categorized into the luminal AR subtype.
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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