The aging-related risk signature in colorectal cancer

Abstract

Background: Colorectal cancer (CRC) is the third most common cancer worldwide. The opening of the TCGA and GEO databases has promoted the progress of CRC prognostic assessment, while the aging-related risk signature has never been mentioned. Methods: R software packages, GSEA software, Venn diagram, Metascape, STRING, Cytoscape, cBioPortal, TIMER and GeneMANIA website were used in this study. Results: Aging-related gene sets, GO_AGING, GO_CELL_AGING and GO_CELLULAR_SENESCENCE, were activated significantly in CRC tissues. We constructed an aging-related risk signature using LASSO COX regression in training group TCGA and validated in testing group GSE39582. The risk score was significantly associated with the overall survival of CRC patients, whose stability was clarified by stratified survival analysis and accuracy was demonstrated using the ROC curve. The risk score was significantly increased in the advanced stage, T3-4, N1-3 and M1 and positively correlated with the richness of immune cell infiltration in the tumor microenvironment. We further investigated the molecular characteristics of 15 hub genes at the DNA and protein levels and performed GSEA between high- and low-risk groups. Conclusions: The aging-related signature is a reliable prognostic analysis model and can predict the severity and immune cell infiltration of CRC patients.

An Aging-Related Gene Signature-Based Model for Risk Stratification and Prognosis Prediction in Breast Cancer

“…10,17 Aging can also promote carcinogenesis, tumor development and metastasis, 13,14,[17][18][19] and is a significant risk factor for colorectal tumor and lung carcinoma. 20,21 Therefore, novel aging-related markers can potentially be used to predict cancer prognosis, 33 so it is vital to understand the association between signature of aging and BC. In this study, our nomogram presented good calibration and discrimination in the TCGA set.…”

“…13,14,[17][18][19] Identifying key characteristics and induction of senescence in tumor cells has been a recent focus of cancer research, 13 as researchers have explored and confirmed their potential diagnostic or prognostic value as biomarkers in malignancy, including colorectal and lung cancer. 10,20,21 However, its prognostic value in BC remains unknown as no precise clinical signature has been established.…”

Construction and validation of a novel aging‐related gene signature and prognostic nomogram for predicting the overall survival in ovarian cancer

“…Recent studies have revealed a model constructed using age-related genes to aid in the prediction of outcome in colorectal cancer patients. 21 In glioma, aging has been found to be the strongest risk factor for disease progression, and the survival of glioma patients can be predicted by analyzing brain aging. 22 However, markers for aging-related gene in predicting the survival rate of OC patients have not yet been established.…”

A prognostic fibroblast-related risk signature in colorectal cancer

“…Based on TCGA and GEO, many risk models have been developed to predict the OS of CRC patients; most of these are mechanism-driven models based on factors such as aging, hypoxia, and autophagy [ 9 , 10 , 11 ]. However, a fibroblast-related risk signature based on open database has not been established to date.…”