Data supporting an immune checkpoint score system for prognostic evaluation and adjuvant chemotherapy selection in patients with gastric cancer

This dataset consists of 5 files: 3 raw data files in .xlsx spreadsheet format and 2 code files in .txt format. These data and code files support the claims of the related manuscript: "A Promising Immune Checkpoint System in Gastric Cancer: Better Prognostic Evaluation and Effective Adjuvant Chemotherapy Selection".
The files are as follows:- Raw data of internal modelling set20200724.xlsx
- Raw data of Tissue microarray20200724.xlsx
- Raw date of external validation set20200724.xlsx- Annex 2 C-index corresponding code.txt- Annex 3 AIC corresponding code.txt
An additional code file entitled "Annex 1 Lasso corresponding code.txt" was used, but is not publicly available due to copyright restrictions.
The related study established a comprehensive immune scoring system 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.