Detection of subtype-specific breast cancer surface protein biomarkers via a novel transcriptomics approach.

ABSTRACT:

Background

Cell-surface proteins have been widely used as diagnostic and prognostic markers in cancer research and as targets for the development of anticancer agents. So far, very few attempts have been made to characterize the surfaceome of patients with breast cancer, particularly in relation with the current molecular breast cancer (BRCA) classification. In this view, we developed a new computational method to infer cell-surface protein activities from transcriptomics data, termed 'SURFACER'.

Methods

Gene expression data from GTEx were used to build a normal breast network model as input to infer differential cell-surface proteins activity in BRCA tissue samples retrieved from TCGA versus normal samples. Data were stratified according to the PAM50 transcriptional subtype

SUBMITTER: Mercatelli D 

PROVIDER: S-EPMC8655506 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature