A Correlation Study of Prognostic Risk Prediction for Colorectal Cancer Based on Autophagy Signature Genes

Abstract

Autophagy plays a complex role in tumors, sometimes promoting cancer cell survival and sometimes inducing apoptosis, and its role in the colorectal tumor microenvironment is controversial. The purpose of this study was to investigate the prognostic value of autophagy-related genes (ARGs) in colorectal cancer. We identified 37 differentially expressed autophagy-related genes by collecting TCGA colorectal tumor transcriptome data. A single-factor COX regression equation was used to identify 11 key prognostic genes, and a prognostic risk prediction model was constructed based on multifactor COX analysis. We classified patients into high and low risk groups according to prognostic risk parameters (p <0.001) and determined the prognostic value they possessed by survival analysis and the receiver operating characteristic (ROC) curve in the training and test sets of internal tests. In a multifactorial independent prognostic analysis, this risk value could be used as an independent prognostic indicator (HR=1.167, 95% CI=1.078-1.264, P<0.001) and was a robust predictor without any staging interference. To make it more applicable to clinical procedures, we constructed nomogram based on risk parameters and parameters of key clinical characteristics. The area under ROC curve for 3-year and 5-year survival rates were 0.735 and 0.718, respectively. These will better enable us to monitor patient prognosis, thus improve patient outcomes.

Development and Validation of the Individualized Prognostic Nomograms in Patients With Right- and Left-Sided Colon Cancer

“…To date, there are several established nomograms that are capable of predicting the survival after radical resection for CC patients (20,29,(34)(35)(36)(37)(38). Some researches reported that the prognosis of CC was obviously connected with factors involving age, sex, and tumor size, while others showed the prognosis of CC was irrelevant to the above factors (20,34,35).…”

“…Final nomograms were well calibrated and internally and externally valid, with a high predictive performance (C=0.68) ( 29 ). Besides traditional indicators, recent studies incorporated novel prognostic factors including tumor deposits, CpG sites, and autophagy signature genes into nomograms, respectively, which also showed the potential to assess CRC patient prognosis ( 36 – 38 ). Simultaneously, almost all of them were focused on CRC patients of all sides (LSCC, RSCC, and rectal cancer).…”

Identification of Key Genes Associated with Progression and Prognosis of Bladder Cancer through Integrated Bioinformatics Analysis

“…Evidence shows that CTSL expression may be linked to cancer grade and stage [ 40 ]. Studies have proposed CTSL as an independent predictor of bladder cancer and invasiveness in patients with a history of urothelial carcinoma [ 41 , 42 ].…”

MCM3AP-AS1: An Indispensable Cancer-Related LncRNA

“…Colorectal cancer (CRC) is one of the most prevalent cancers and a leading cause of cancer-related death worldwide (Oki et al, 2016;Wang et al, 2019d;Yarla et al, 2019;Zhao et al, 2021). Some studies have revealed that MCM3AP-AS1 expression is markedly upregulated in CRC tissues compared to corresponding normal tissues (Ma et al, 2020;Zhou et al, 2021).…”