Bioinformatics analysis identifies COL1A1, THBS2 and SPP1 as potential predictors of patient prognosis and immunotherapy response in gastric cancer | Zendy

Yali Wang | Zendy; Kun Zheng | Zendy; Xiuqiong Chen | Zendy; Rui Chen | Zendy; Yanmei Zou | Zendy

Open Access

Bioinformatics analysis identifies COL1A1, THBS2 and SPP1 as potential predictors of patient prognosis and immunotherapy response in gastric cancer

Author(s) -

Yali Wang,

Kun Zheng,

Xiuqiong Chen,

Rui Chen,

Yanmei Zou

Publication year - 2020

Publication title -

bioscience reports

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.938

H-Index - 77

eISSN - 1573-4935

pISSN - 0144-8463

DOI - 10.1042/bsr20202564

Subject(s) - immunotherapy , kegg , biology , cancer , gene , immune system , computational biology , bioinformatics , cancer immunotherapy , oncology , cancer research , immunology , gene expression , medicine , genetics , transcriptome

The present study aimed to use bioinformatics tools to explore pivotal genes associated with the occurrence of gastric cancer (GC) and assess their prognostic significance, and link with clinicopathological parameters. We also investigated the predictive role of COL1A1, THBS2, and SPP1 in immunotherapy.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research