Background:Colorectal cancer(CRC)is a leading cause of cancer mortality globally.This study aims to develop a prognostic model based on disulfidptosis-related genes to assess survival outcomes in CRC,highlighting the ...Background:Colorectal cancer(CRC)is a leading cause of cancer mortality globally.This study aims to develop a prognostic model based on disulfidptosis-related genes to assess survival outcomes in CRC,highlighting the tumor microenvironment’s role.Methods:The thought of traditional Chinese medicine syndrome differentiation and treatment runs through the whole study.We analyzed CRC tissue data from The Cancer Genome Atlas and the Gene Expression Omnibus using single-sample gene set enrichment and weighted gene correlation network analyses to identify prognostic markers and evaluate immune infiltration.We also investigated predictive drug sensitivities.Results:We identified seven disulfidptosis-related markers–complement C1q A chain(C1QA),solute carrier family 11 member 1(SLC11A1),cluster of differentiation 36(CD36),cluster of differentiation 6(CD6),interleukin 1 receptor associated kinase 3(IRAK3),S100 calcium binding protein A8(S100A8),and CD8 subunit alpha(CD8A)–that significantly influence prognosis.Patients classified in the low-risk group demonstrated improved overall survival compared to those in the high-risk group across training(P=0.0026)and validation cohorts(P=0.032).Differential gene expression was significant in the high-risk group(P<0.001),and prevalent mutations included APC regulator of WNT signaling pathway(APC),tumor protein P53(TP53),Titin(TTN),and Kirsten rat sarcoma viral oncogene(KRAS).The risk score correlated linearly with tumor microenvironment attributes.The results of drug analysis showed that some traditional drugs may have anticancer effects through the vertical action of disulfidptosis.Conclusion:Our prognostic model,integrating seven disulfidptosis-related genes,categorizes CRC patients by survival probability and underscores these genes as potential biomarkers linked to the tumor microenvironment.These findings support their use in refining therapeutic strategies for CRC.展开更多
文摘Background:Colorectal cancer(CRC)is a leading cause of cancer mortality globally.This study aims to develop a prognostic model based on disulfidptosis-related genes to assess survival outcomes in CRC,highlighting the tumor microenvironment’s role.Methods:The thought of traditional Chinese medicine syndrome differentiation and treatment runs through the whole study.We analyzed CRC tissue data from The Cancer Genome Atlas and the Gene Expression Omnibus using single-sample gene set enrichment and weighted gene correlation network analyses to identify prognostic markers and evaluate immune infiltration.We also investigated predictive drug sensitivities.Results:We identified seven disulfidptosis-related markers–complement C1q A chain(C1QA),solute carrier family 11 member 1(SLC11A1),cluster of differentiation 36(CD36),cluster of differentiation 6(CD6),interleukin 1 receptor associated kinase 3(IRAK3),S100 calcium binding protein A8(S100A8),and CD8 subunit alpha(CD8A)–that significantly influence prognosis.Patients classified in the low-risk group demonstrated improved overall survival compared to those in the high-risk group across training(P=0.0026)and validation cohorts(P=0.032).Differential gene expression was significant in the high-risk group(P<0.001),and prevalent mutations included APC regulator of WNT signaling pathway(APC),tumor protein P53(TP53),Titin(TTN),and Kirsten rat sarcoma viral oncogene(KRAS).The risk score correlated linearly with tumor microenvironment attributes.The results of drug analysis showed that some traditional drugs may have anticancer effects through the vertical action of disulfidptosis.Conclusion:Our prognostic model,integrating seven disulfidptosis-related genes,categorizes CRC patients by survival probability and underscores these genes as potential biomarkers linked to the tumor microenvironment.These findings support their use in refining therapeutic strategies for CRC.