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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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Personalized treatment in metastatic triple-negative breast cancer: The outlook in 2020

TL;DR: The genomic landscape of TNBC is explored, through which many actionable targets were graduated, and the results of the key—practice changing—clinical studies, and some upcoming personalized treatment options for patients with mTNBC, that may be clinically adopted in the near future are discussed.
Journal ArticleDOI

Androgen receptor expression and breast cancer mortality in a population-based prospective cohort.

TL;DR: AR expression added prognostic information to ER expression with respect to short-term prognosis, supporting the pre-specified hypothesis and larger cohorts are needed for further characterization of the role of AR expression in ER− breast cancer.
Journal ArticleDOI

Therapeutic Potential of a Novel αvβ3 Antagonist to Hamper the Aggressiveness of Mesenchymal Triple Negative Breast Cancer Sub-Type

TL;DR: Findings show that targeting αvβ3 integrin by ψRGDechi, it is possible to inhibit some of the malignant properties of MES-TNBC phenotype, and the reversed EMT program inhibits mesenchymal markers.
Journal ArticleDOI

Review of Triple Negative Breast Cancer and the Impact of Inducible Nitric Oxide Synthase on Tumor Biology and Patient Outcomes.

TL;DR: iNOS has been shown to induce p53 mutation accumulation, basal-like gene signature enrichment, and transactivation of the epidermal growth factor receptor (EGFR) via S-nitrosylation, all of which are key components of TNBC biology.
Journal ArticleDOI

Identification of co-expression modules and potential biomarkers of breast cancer by WGCNA

TL;DR: Survival analysis showed that the expression of 11 genes had significant effects on the survival of breast cancer patients, and this results may provide a reference for the mechanism study of Breast cancer.
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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