RNA-sequencing and microarray data mining revealing: the aberrantly expressed mRNAs were related with a poor outcome in the triple negative breast cancer patients
Hongjun Fei, Songchang Chen, Chenming Xu
Abstract
BACKGROUND: Triple negative breast cancer (TNBC) account for about 20% of breast carcinomas and the American society of clinical oncology guidelines does not specify approaches for TNBC patients since lack of specific driver molecules and targeted drugs. METHODS: We filtered out the aberrantly expressed mRNAs on the basis of RNA-seq data deposited in the Gene Expression Omnibus database, and verified and deeply analyzed screened differentially expressed genes (DEGs) using a combined bioinformatics approach. RESULTS: expression are significantly related with prognosis. CONCLUSIONS: play a vital role in TNBC.
Topics & Concepts
GATA3FOXA1GeneBiologyTriple-negative breast cancerGene expressionBreast cancerMicroarray analysis techniquesCancer researchComputational biologyCancerMolecular biologyGeneticsTranscription factorBreast Cancer Treatment StudiesMechanisms of cancer metastasisGene expression and cancer classification