In Silico Identification of Genes Associated with Breast Cancer Progression and Prognosis and Novel Therapeutic Targets.

ABSTRACT: Molecular mechanisms underlying breast cancer (BC) progression are complex and remain unclear. In this study, we used bioinformatic tools to identify genes associated with tumor progression mechanisms and novel therapeutic targets in BC. We identified genes with stepwise upregulated expression overlapping between the T and N stages during BC progression using LinkedOmics. We compared the expression level of each gene in BC tissues with that in normal breast tissues and evaluated differences in expression in their intrinsic subtypes and their prognostic value using UALCAN and GEPIA2. We also investigated the dependency of BC cell lines on these genes and whether they are potential therapeutic targets using DepMap. SPDEF, TRIM3, ABCB9, HSPB1, RHBG, SPINT

SUBMITTER: Uchida S 

PROVIDER: S-EPMC9687996 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature