The tumor immune microenvironment and immune-related signature predict the chemotherapy response in patients with osteosarcoma.

ABSTRACT:

Background

Genome-wide expression profiles have been shown to predict the response to chemotherapy. The purpose of this study was to develop a novel predictive signature for chemotherapy in patients with osteosarcoma.

Methods

We analysed the relevance of immune cell infiltration and gene expression profiles of the tumor samples of good responders with those of poor responders from the TARGET and GEO databases. Immune cell infiltration was evaluated using a single-sample gene set enrichment analysis (ssGSEA) and the CIBERSORT algorithm between good and poor chemotherapy responders. Differentially expressed genes were identified based on the chemotherapy response. LASSO regression and binary logistic regression analyses were applied to select the differentially expressed immun

SUBMITTER: He L 

PROVIDER: S-EPMC8138974 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature