Literature DB >> 27397723

Somatic gene mutation analysis of triple negative breast cancers.

J L Dillon1, S M Mockus2, G Ananda3, V Spotlow4, W A Wells5, G J Tsongalis6, J D Marotti7.   

Abstract

OBJECTIVES: The aims of this study were to analyze triple negative breast cancer (TNBC) using an expanded next generation sequencing (NGS) assay, assess the clinical relevance using a recently described database, and correlate tumor morphology with detected genetic alterations.
METHODS: DNA was isolated from twenty primary TNBCs and genes of interest were enriched and sequenced with hybrid capture, followed by variant detection and functional and clinical annotation. The JAX-CTP™ assay detects actionable variants in the form of single nucleotide variations, small insertions and deletions (≤50 bp), and copy number variants in 358 genes in specimens containing a neoplastic cell content of ≥50%. The JAX-CKB is a comprehensive database that curates tumor phenotype, genetic variant and protein effect, therapeutic relevance, and available treatment options.
RESULTS: 18/20 (90%) of TNBCs contained at least one somatic mutation detected by the JAX-CTP™. MYC amplification was the most common alteration, present in 75% of tumors. TP53, AURKA, and KDR mutations were each present in 30% (6/20) of cases. Related recruiting clinical trials, extracted from JAX-CKB, included 166 for breast cancer, of which 17 were specific to only the TNBC subtype. All 17 trials were testing at least one therapy that targets a mutation identified in this sample set. The majority (89%) of tumors with basal-like histologic features had MYC amplification.
CONCLUSIONS: The expanded gene panel identified a variety of clinically actionable gene alterations in TNBCs. The identification of such variants increases the possibility for new therapeutic interventions and clinical trial eligibility for TNBC patients.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Myc; Next generation sequencing; Triple negative breast cancer

Mesh:

Substances:

Year:  2016        PMID: 27397723     DOI: 10.1016/j.breast.2016.06.018

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


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9.  AURKA rs2273535 T>A Polymorphism Associated With Cancer Risk: A Systematic Review With Meta-Analysis.

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  10 in total

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