Department of Urology Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Sci Rep. 2022 Jul 4;12(1):11242. doi: 10.1038/s41598-022-13952-1.
To predict disease outcome in muscle-invasive bladder cancer (MIBC), we constructed a prognostic autophagy-related (PAR) lncRNA signature. Comprehensive bioinformatics analyses were performed using data from TCGA and GTEx databases. Univariate Cox, and least absolute shrinkage and selection operator regression analyses were also performed, based on differentially expressed genes, to identify PAR-related lncRNAs to establish the signature. Furthermore, the Kaplan-Meier OS curve and receiver operating characteristic curve analyses were performed and a nomogram was constructed, all of which together confirmed the strong predictive ability of the constructed signature. Patients with MIBC were then divided into high- and low-risk groups. Gene enrichment and immune infiltration analyses revealed the potential mechanisms in MIBC. We also further evaluated the signature of molecules related to immune checkpoints and the sensitivity toward chemotherapeutic agents and antitumor-targeted drugs to find better treatment prescriptions. We identified a number of PAR-related lncRNA signatures, including HCP5, AC024060.1, NEAT1, AC105942.1, XIST, MAFG-DT, and NR2F1-AS1, which could be valuable prognostic tools to develop more efficient, individualized drug therapies for MIBC patients.
为了预测肌肉浸润性膀胱癌（MIBC）的疾病结局，我们构建了一个预后自噬相关（PAR）lncRNA 特征。使用来自 TCGA 和 GTEx 数据库的数据进行了综合的生物信息学分析。基于差异表达基因进行了单变量 Cox 和最小绝对收缩和选择算子回归分析，以确定与 PAR 相关的 lncRNAs 来建立特征。此外，还进行了 Kaplan-Meier OS 曲线和接受者操作特征曲线分析，并构建了一个列线图，所有这些都共同证实了所构建特征的强大预测能力。然后将 MIBC 患者分为高风险组和低风险组。基因富集和免疫浸润分析揭示了 MIBC 中的潜在机制。我们还进一步评估了与免疫检查点相关的分子特征以及对化疗药物和抗肿瘤靶向药物的敏感性，以找到更好的治疗方案。我们确定了一些 PAR 相关的 lncRNA 特征，包括 HCP5、AC024060.1、NEAT1、AC105942.1、XIST、MAFG-DT 和 NR2F1-AS1，它们可以作为有价值的预后工具，为 MIBC 患者开发更有效、个体化的药物治疗。
