空军军医大学学报2024，Vol.45Issue(7)：805-812,8.DOI:10.13276/j.issn.2097-1656.2024.07.014
基于RNA结合蛋白构建宫颈癌预后模型并实验验证
Construction and validation of cervical cancer prognosis model based on RNA-binding proteins
摘要
Abstract
Objective To construct a core RNA-binding proteins(RBPs)related prognosis model in cervical cancer(CC)and preliminarily screen the prognostic biomarkers.Methods The expression levels of 1 542 RBPs in CC were compared in Genotype-Tissue Expression and The Cancer Genome Atlas(TCGA)to screen the differential expressed RBPs(DERBPs,log2FC＞1 and FDR＜0.05).The TCGA cohort was randomly divided into training cohort and testing cohort according to the ratio of 2:1.The CC prognosis model was constructed by univariate Cox regression,least absolute shrinkage and selection operator and stepwise multivariate Cox regression in the training cohort,and verified in the testing cohort.Finally,a nomogram was established and hub gene was screened based on the model in vitro to evaluate and verify the efficacy of the model.Results Nine core RBPs were screened out from 348 DERBPs and the model was constructed.Survival analysis showed that the overall survival rate of CC patients in the high-risk group was significantly lower than that in the low-risk group(P＜0.001),and ROC curves(AUC＞0.8)indicated that the model had moderate predictive ability,which could be used as an independent prognostic factor for CC patients(HR=1.152,95％CI:1.106-1.200,P＜0.001).All the above results were verified in the testing cohort.A nomogram based on 9 RBPs was constructed in the TCGA cohort,and the calibration curves showed that it had good accuracy.Finally,in vitro experiments confirmed that after silencing the expression of RBM38 in CC cells,the cell proliferation,migration and invasion ability were significantly enhanced(P＜0.05),which was consistent with the predicted results.Conclusion In this study,a CC prognostic model composed of 9 RBPs is successfully constructed,which can be used as an independent prognostic biomarker of CC and has moderate predictive ability.The results may provide potential therapeutic targets and prognostic biomarkers for CC patients.关键词
宫颈癌/生物信息学/癌症基因组图谱/预后模型Key words
cervical cancer/bioinformatics/The Cancer Genome Atlas/prognostic model分类
医药卫生引用本文复制引用
张哲,吴杰,伍婷婷,胡成彪,宋韶晖,马文龙,董训虎..基于RNA结合蛋白构建宫颈癌预后模型并实验验证[J].空军军医大学学报,2024,45(7):805-812,8.基金项目
国家自然科学基金青年科学基金(81803279) （81803279）
