Gene expression profiles for a prognostic immunoscore in gastric cancer.

ABSTRACT: BACKGROUND:Increasing evidence has indicated an association between immune infiltration in gastric cancer and clinical outcome. However, reliable prognostic signatures, based on systematic assessments of the immune landscape inferred from bulk tumour transcriptomes, have not been established. The aim was to develop an immune signature, based on the cellular composition of the immune infiltrate inferred from bulk tumour transcriptomes, to improve the prognostic predictions of gastric cancer. METHODS:Twenty-two types of immune cell fraction were estimated based on large public gastric cancer cohorts from the Gene Expression Omnibus using CIBERSORT. An immunoscore based on the fraction of immune cell types was then constructed using a least absolute shrinkage and selection operator (LASSO) Co

SUBMITTER: Zeng D 

PROVIDER: S-EPMC6099214 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature