Unknown

Dataset Information

Identification of molecular features correlating with tumor immunity in gastric cancer by multi-omics data analysis.


ABSTRACT:

Background

Although immunotherapy has achieved success in treating various refractory malignancies including gastric cancers (GCs) with DNA mismatch repair deficiency, only a subset of cancer patients are responsive to immunotherapy. Therefore, the identification of useful biomarkers or interventional targets for improving cancer immunotherapy response is urgently needed.

Methods

We investigated the associations between various molecular features and immune signatures using three multi-omics GC datasets. These molecular features included genes, microRNAs (miRNAs), long non-coding RNAs (lncRNAs), proteins, and pathways, and the immune signatures included CD8+ T cell infiltration, immune cytolytic activity (ICA), and PD-L1 expression. Moreover, we investigated the assoc

SUBMITTER: He Y 

PROVIDER: S-EPMC7575957 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature