Exploring novel targets of basal-like breast carcinoma by comparative gene profiling and mechanism analysis

摘要: The heterogeneity of breast cancer makes its diagnosis and treatment far from being optimal. Analysis traditional pathological prognostic markers based on immunohistochemistry (IHC) is inadequate in elucidating the inherent cancer, especially basal-like carcinoma (BLBC) which displays complex unique epidemiological, phenotypic, molecular features with distinctive relapse patterns poor clinical outcomes. Gene expression profiling opened an avenue research as independent predictors by classifying cancers into discrete groups references, but it not cost-effective application. It necessary to develop effective predictive gene list optimize markers. In this report, we analyzed correlation between IHC emphasis BLBC, highlighting potential discovery diagnostic cellular mechanisms that may guide development BLBC-targeted therapy. Random forest-based classification PAM50 gene-sets were used comparison analysis including estrogen receptor (ER), progesterone (PR), human epidermal growth factor 2 (HER2), microarray profiles. An intrinsic 40-gene set was developed classify subtypes, genes differentiations explore different BLBC non-BLBC subtypes clinicopathological profiling. Pathways DNA repairs evaluate biological other subtypes. reasonable define those tumors are negative for ER, PR, HER2 their accordance Focal adhesion kinase, ERBB, signaling pathways play crucial role BLBC. can be help therapeutic management