Background, Chemotherapy resistance based on the use of fluorouracil and cisplatin is one of the most encountered clinical problems resulting from post operation and gives rise to poor prognosis in patients diagnosed with gastric cancer (GC). Methods , this study aims to combine autophagy-related genes (ATGs) to provide an investigation of the susceptibility of victims with gastric malignancy to postoperative chemotherapy. Based on the TCGA database, gene expression data for GC patients undergoing and are using chemotherapy were integrated and analyzed. Prognostic genes were screened based on univariate and various analysis regression models. Subjects were divided into those with high and low-risk groups. This was analyzed by the utilization of the median risk score approach. The product limit estimator method had to be used to evaluate the OS and DFS. The accuracy of the prediction was resolved by the subject curve analysis. In addition, the carrying out of proper analysis was done in our work for some detailed assessments. The differential expression of ATGs is mainly related to chemotherapy resistance. Results, a total of 9 ATGs of chemotherapy administration outcomes in these suffers were screened. Based on GEO and TCGA databases, the model accurately predicted DFS and OS after chemotherapy administration. Conclusions, this study established prognostic markers based on 9 genes, which can predict ATGs related to chemotherapy susceptibility of GC patients, and provide better individualized treatment regimens for clinical practice.
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