Predictive Biomarker Profiling of > 6000 Breast Cancer Patients Shows Heterogeneity in TNBC, With Treatment Implications

Micro-Abstract We evaluated 6341 consecutive breast cancer samples across multiple platforms to identify biomarkers of potential drug response. Subgroups of triple-negative breast cancers were identified, with different gene mutations, protein expression levels, and patterns in co-incidence, which m...

Full description

Saved in:
Bibliographic Details
Published in:Clinical breast cancer 2015-12, Vol.15 (6), p.473-481.e3
Main Authors: Millis, Sherri Z, Gatalica, Zoran, Winkler, Josiah, Vranic, Semir, Kimbrough, Jeffery, Reddy, Sandeep, O'Shaughnessy, Joyce A
Format: Article
Language:English
Subjects:
Biomarkers, Tumor - analysis
Cohort Studies
DNA Mutational Analysis
Female
Hematology, Oncology and Palliative Medicine
High-Throughput Nucleotide Sequencing
Humans
Immunohistochemistry
In Situ Hybridization
Molecular profiling
Obstetrics and Gynecology
Sequencing
Targeted therapy
Triple Negative Breast Neoplasms - genetics
Triple Negative Breast Neoplasms - metabolism
Triple-negative breast cancer
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Micro-Abstract We evaluated 6341 consecutive breast cancer samples across multiple platforms to identify biomarkers of potential drug response. Subgroups of triple-negative breast cancers were identified, with different gene mutations, protein expression levels, and patterns in co-incidence, which might inform individualized treatment options.
ISSN:1526-8209
1938-0666
DOI:10.1016/j.clbc.2015.04.008