TNBCtype: A subtyping tool for triple-negative breast cancer

Xi Chen, Jiang Li, William H. Gray, Brian D. Lehmann, Joshua A. Bauer, Yu Shyr, Jennifer A. Pietenpol

研究成果: Article同行評審

134 引文 斯高帕斯(Scopus)

摘要

Motivation: Triple-negative breast cancer (TNBC) is a heterogeneous breast cancer group, and identification of molecular subtypes is essential for understanding the biological characteristics and clinical behaviors of TNBC as well as for developing personalized treatments. Based on 3,247 gene expression profiles from 21 breast cancer data sets, we discovered six TNBC subtypes from 587 TNBC samples with unique gene expression patterns and ontologies. Cell line models representing each of the TNBC subtypes also displayed different sensitivities to targeted therapeutic agents. Classification of TNBC into subtypes will advance further genomic research and clinical applications. Result: We developed a web-based subtyping tool TNBCtype for candidate TNBC samples using our gene expression meta data and classification methods. Given a gene expression data matrix, this tool will display for each candidate sample the predicted subtype, the corresponding correlation coefficient, and the permutation P-value. We offer a user-friendly web interface to predict the subtypes for new TNBC samples that may facilitate diagnostics, biomarker selection, drug discovery, and the more tailored treatment of breast cancer.

原文English
頁(從 - 到)147-156
頁數10
期刊Cancer Informatics
11
DOIs
出版狀態Published - 2012

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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