An immune checkpoint score system for prognostic evaluation and adjuvant chemotherapy selection in gastric cancer.

ABSTRACT: Immunosuppressive molecules are extremely valuable prognostic biomarkers across different cancer types. However, the diversity of different immunosuppressive molecules makes it very difficult to accurately predict clinical outcomes based only on a single immunosuppressive molecule. Here, we establish a comprehensive immune scoring system (ISS_GC) based on 6 immunosuppressive ligands (NECTIN2, CEACAM1, HMGB1, SIGLEC6, CD44, and CD155) using the LASSO method to improve prognostic accuracy and provide an additional selection strategy for adjuvant chemotherapy of gastric cancer (GC). The results show that ISS_GC is an independent prognostic factor and a supplement of TNM stage for GC patients, and it can improve their prognosis prediction accuracy; in addition, it can disti

SUBMITTER: Wang JB 

PROVIDER: S-EPMC7732987 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature