Identification of an M1 Macrophages-Related Signature for Predicting the Survival and Therapeutic Response in Gastric Cancer.

ABSTRACT: This research aimed to determine genes associated with M1 TAMs (tumour-associated macrophages) and to develop an M1 TAMs-related signature for predicting GC (Gastric cancer)'s prognosis and therapeutic effect. Based on the GC dataset in TCGA, we constructed a prognostic signature using M1 TAMs-related genes and validated it using data from the GEO dataset. To evaluate the predictive power of the signature, the survival curves, ROC curves, Cox regression analysis, nomograms and calibration curves were constructed. Differences in immune infiltration, immunotherapy response, and chemotherapy sensitivity between the two risk groups were also analysed. Furthermore, by jointly using the string database and Cytoscape software, we identified the hub gene that differed between the two risk groups.

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12513507 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature