Brain Neural Progenitors are New Predictive Biomarkers for Breast Cancer Hormonotherapy.

ABSTRACT: Heterogeneity of the tumor microenvironment (TME) is one of the major causes of treatment resistance in breast cancer. Among TME components, nervous system role in clinical outcome has been underestimated. Identifying neuronal signatures associated with treatment response will help to characterize neuronal influence on tumor progression and identify new treatment targets. The search for hormonotherapy-predictive biomarkers was implemented by supervised machine learning (ML) analysis on merged transcriptomics datasets from public databases. ML-derived genes were investigated by pathway enrichment analysis, and potential gene signatures were curated by removing the variables that were not strictly nervous system specific. The predictive and prognostic abilities of the generated signatures we

SUBMITTER: Basseville A 

PROVIDER: S-EPMC10010318 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature