A disulfidptosis-related LncRNAs index predicting prognosis and tumor microenvironment in colorectal cancer

Abstract

Colorectal cancer(CRC) is a common and deadly cancer in the world with a high lethality rate. Disulfidptosis has been found to be an emerging mode of death in cancer, and the purpose of this study to explore the relationship between disulfidptosis-related lncRNAs and CRC, developing a prognostic model for CRC. The gene expression data and clinicopathologic information of colorectal cancer patients was from The Cancer Genome Atlas(TCGA) and screened for disulfidptosis-related lncRNAs based on correlation analysis. Using the least absolute shrinkage and selection operator(LASSO) and Cox regression to construct the prognostic modeling, and its validation was carried out by PCA and receiver operating characteristic(ROC) curves. Also, we constructed the nomograms combining with the model. Finally, the possible mechanisms how to affect CRC by lncRNAs were explored by functional enrichment analysis, immune infiltration and immune escape analysis. In a word, we developed a prognostic marker consisting of lncRNAs associated with disulfidptosis to help clinicians predict the survival of different CRC patients and use different therapies depending on the conditions.