A Novel Prognostic Prediction Model for Colorectal Cancer Based on Nine Autophagy-Related Long Noncoding RNAs

• DOI: 10.3389/fonc.2021.613949
• Publication Date: 2021-10-10T18:58:18Z
• Authors: Guoqiang Xu; Mei Yang; Qiaoli Wang; Liufang Zhao; Sijin Zhu; Lixiu Zhu; Tianrui Xu; Ruixue Cao; Cheng Li; Qiuyan Liu; Wei Xiong; Yan Su; Jian Dong
• Keywords: Univariate

Colorectal cancer (CRC) is the most common gastrointestinal and has a low overall survival rate. Tumor-node-metastasis staging alone insufficient to predict patient prognosis. Autophagy long noncoding RNAs play important roles in regulating biological behavior of CRC. Therefore, establishing an autophagy-related lncRNA (ARlncRNA)-based bioinformatics model for predicting facilitating clinical treatment.CRC data were retrieved from The Cancer Genome Atlas. database was randomly divided into train set validation set; then, univariate multivariate Cox regression analyses performed screen prognosis-related ARlncRNAs prediction construction. Interactive network Sankey diagrams messenger plotted. We analyzed rate high- low-risk patients plotted curves determined whether risk score independent predictor Receiver operating characteristic used evaluate sensitivity specificity. Then, expression level detected by quantitative real-time polymerase chain reaction, location observed fluorescence situ hybridization. Additionally, protein Western blot.A prognostic CRC built based on nine (NKILA, LINC00174, AC008760.1, LINC02041, PCAT6, AC156455.1, LINC01503, LINC00957, CD27-AS1). 5-year significantly lower high-risk group than among set, all (all p < 0.001). had high accuracy 1-year (area under curve = 0.717). LINC00174 NKILA expressed nucleus cytoplasm normal colonic epithelial cell line NCM460 colorectal lines HT29. overexpressed HT29 compared with NCM460. After autophagy activation, LINCC00174 downregulated both HT29, while increased.The new ARlncRNA-based predicts prognosis provides research ideas regarding potential mechanisms may personalized treatment.