Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
Eur J Med Res. 2023 Jun 27;28(1):198. doi: 10.1186/s40001-023-01173-9.
Urinary pan-cancer system is a general term for tumors of the urinary system including renal cell carcinoma (RCC), prostate cancer (PRAD), and bladder cancer (BLCA). Their location, physiological functions, and metabolism are closely related, making the occurrence and outcome of these tumors highly similar. Cuproptosis is a new type of cell death that is different from apoptosis and plays an essential role in tumors. Therefore, it is necessary to study the molecular mechanism of cuproptosis-related lncRNAs to urinary system pan-cancer for the prognosis, clinical diagnosis, and treatment of urinary tumors.
In our study, we identified 35 co-expression cuproptosis-related lncRNAs (CRLs) from the urinary pan-cancer system. 28 CRLs were identified as prognostic-related CRLs by univariate Cox regression analysis. Then 12 CRLs were obtained using lasso regression and multivariate cox analysis to construct a prognostic model. We divided patients into high- and low-risk groups based on the median risk scores. Next, Kaplan-Meier analysis, principal component analysis (PCA), functional rich annotations, and nomogram were used to compare the differences between the high- and low-risk groups. Finally, the prediction of tumor immune dysfunction and rejection, gene mutation, and drug sensitivity were discussed.
Finally, the candidate molecules of the urinary system pan-cancer were identified. This CRLs risk model may be promising for clinical prediction of prognosis and immunotherapy response in urinary system pan-cancer patients.
泌尿系统癌症系统是指包括肾细胞癌（RCC）、前列腺癌（PRAD）和膀胱癌（BLCA）在内的泌尿系统肿瘤的统称。它们的位置、生理功能和代谢密切相关，使得这些肿瘤的发生和结局高度相似。铜死亡是一种新型的细胞死亡方式，不同于细胞凋亡，在肿瘤中起着至关重要的作用。因此，有必要研究与铜死亡相关的 lncRNAs 对泌尿系统癌症的分子机制，以预测、临床诊断和治疗泌尿系统肿瘤。
在我们的研究中，从泌尿系统癌症系统中鉴定出 35 个共表达的铜死亡相关 lncRNAs（CRLs）。通过单因素 Cox 回归分析鉴定出 28 个与预后相关的 CRLs。然后，通过lasso 回归和多因素 cox 分析获得 12 个 CRLs，构建预后模型。我们根据中位风险评分将患者分为高风险组和低风险组。接下来，使用 Kaplan-Meier 分析、主成分分析（PCA）、功能丰富注释和列线图比较高低风险组之间的差异。最后，讨论了肿瘤免疫功能障碍和排斥、基因突变和药物敏感性的预测。
最后，确定了泌尿系统癌症的候选分子。该 CRLs 风险模型可能有望用于预测泌尿系统癌症患者的临床预后和免疫治疗反应。
