Prognostic Model Based On Immune Checkpoint Proteins Expression And Clinicopathological Factors To Predict Outcome Of Patients With Gastric Cancer.

e15570Background: Gastric cancer is a leading cause of cancer death worldwide, and its prognostic factors remain unclear. TNM staging was used to predict the prognosis of GC, however, it cannot meet current demands. To improve prediction efficiency, a model that reflects both tumor-related factor and hostu0027s local immune response in tumor microenvironment (TME) is needed. Immune checkpoint proteins regulate T-cell function to promote cancer immune escape. PDL1/PD-1 pathway, one of the immune checkpoint pathways, has become a new target in cancer treatment. Here, we aimed to illuminate the prognostic roles of immune checkpoint protein in GC. Methods: Immune checkpoint proteins expressed in tumor microenvironment (TME) were detected by IHC staining. Survival analysis was performed by the Kaplan-Meier method. A prognostic model was constructed from 174 gastric cancer patients using a scoring system, which was based on hazard ratios in a Cox proportional hazard model. Results: We examined PD-L1, PD-1, CD8 prot...