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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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Journal ArticleDOI

Genomics applied to the treatment of breast cancer

TL;DR: The contributions of genomics applied to the treatment of breast cancer, whether already validated contributions or possible future applications linked to research data are discussed.
Journal ArticleDOI

Clinicopathological characteristics of triple negative breast cancer at a tertiary care hospital in India.

TL;DR: Disease stage at presentation is an important prognostic factor influencing the treatment failure and survival among TNBCs, despite having no statistically significant difference between prognostic parameters.
Journal ArticleDOI

Impact of HER2 Status on Pathological Response after Neoadjuvant Chemotherapy in Early Triple-Negative Breast Cancer

TL;DR: In this cohort, HER2 status was not significantly associated with pCR in a manner consistent with data published recently on TNBC, however, the prognostic impact of HER2-low expression among TNBC patients warrants further evaluation.
Journal ArticleDOI

Overexpression of GLUT3 promotes metastasis of triple-negative breast cancer by modulating the inflammatory tumor microenvironment.

TL;DR: In this paper, the authors showed that GLUT3 is particularly elevated in triple negative breast cancer (TNBC) and associated with metastatic progression and poor prognosis in breast cancer patients, but the regulatory mechanism and metabolic crosstalk between the tumor and tumor microenvironment (TME) are largely unresolved.
Journal ArticleDOI

A Novel Immunomodulatory 27-Gene Signature to Predict Response to Neoadjuvant Immunochemotherapy for Primary Triple-Negative Breast Cancer.

TL;DR: In this article, a 27-gene IO signature was used to predict the pCR of TNBC to preoperative immunochemotherapy using RNA sequencing data from 55 patients with TNBC, who received neoadjuvant immunochemicalotherapy with the PD-L1 blocker durvalumab.
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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