Identification of potential biomarkers and their clinical significance in gastric cancer using bioinformatics analysis methods.

ABSTRACT:

Background

Alternative splicing (AS) is an important mechanism for regulating gene expression and proteome diversity. Tumor-alternative splicing can reveal a large class of new splicing-associated potential new antigens that may affect the immune response and can be used for immunotherapy.

Methods

The RNA-seq transcriptome data and clinical information of stomach adenocarcinoma (STAD) cohort were downloaded from The Cancer Genome Atlas (TCGA) database data portal, and data of splicing events were obtained from the SpliceSeq database. Predicting genes were validated by Asian cancer research group (ACRG) cohort and Oncomine database. RT-qPCR was used to analysis the expression of ECT2 in STAD.

Results

A total of 32,166 AS events were identified, among which 2,042 AS eve

SUBMITTER: Liu J 

PROVIDER: S-EPMC7527772 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature