比例危险模型
肿瘤科
内科学
风险模型
医学
人口
结直肠癌
癌症
生物信息学
生物
风险分析(工程)
环境卫生
作者
None Pufang Tan,None Renshan Hao,None Qi Zhu,None Xiao Wu,None Ye Zhang
出处
期刊:Cellular and Molecular Biology
日期:2022-12-31
卷期号:68 (12): 84-90
标识
DOI:10.14715/cmb/2022.68.12.16
摘要
Cancer cells are significantly impacted by copper-induced cell death (cuprotosis). Long noncoding RNAs (lncRNAs) are crucial in the developmental process of colon adenocarcinoma (COAD). The ability of Cuprotosis-related lncRNA biomarkers to predict COAD prognosis, on the other hand, remains uncertain. This research intended to build a model of risk specifically for COAD based on cuprotosis-related lncRNAs. Univariable Cox, LASSO, as well as multivariable Cox analyses were utilized to identify cuprotosis-related lncRNAs linked with prognosis, and a model of risk was constructed. Five cuprotosis-related lncRNAs, AC008494.3, SNHG7, LINC02257, ZEB1-AS1, and AC116913.1, were discovered from the training set and utilized for the creation of a predictive model of risk. In the training and testing sets, as well as the total patient population, overall survival was dramatically lower for the high-risk patients than for the low-risk patients. The model's prognosis validity was confirmed by time-dependent areas under the ROC curves, which were identified as an independent prognosis element in multivariable COX regressive analysis. The established cuprotosis-related lncRNA-based predictive risk model was linked to chemotherapeutic sensitivity.in COAD patients, a model of risk based on five cuprotosis-related lncRNAs can predict prognosis and chemotherapeutic effectiveness.
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