Abstract：
UNASSIGNED: Disulfidptosis is a prevalent apoptotic mechanism, intrinsically linked to cancer prognosis. However, the specific involvement of disulfidptosis-related long non-coding RNA (DRLncRNAs) in Kidney renal clear cell carcinoma (KIRC) remains incompletely understood. This study aims to elucidate the potential prognostic significance of disulfidptosis-related LncRNAs in KIRC.
METHODS: Expression profiles and clinical data of KIRC patients were retrieved from the TCGA database to discern differentially expressed DRLncRNAs correlated with overall survival. Cox univariate analysis, Lasso Regression, and Cox multivariate analysis were used to construct a clinical prediction model.
RESULTS: Six signatures, namely FAM83C.AS1, AC136475.2, AC121338.2, AC026401.3, AC254562.3, and AC000050.2, were established to evaluate overall survival (OS) in the context of Kidney renal clear cell carcinoma (KIRC) in this study. Survival analysis and ROC curves demonstrated the strong predictive performance of the associated signature. The nomogram exhibited accurate prognostic predictions for overall patient survival, offering substantial clinical utility. Gene set enrichment analysis revealed that risk signals were enriched in various immune-related pathways. Furthermore, the risk features exhibited significant correlations with immune cells, immune function, immune cell infiltration, and immune checkpoints.
CONCLUSIONS: This study has unveiled, for the first time, six disulfdptosis-related LncRNA signatures, laying a solid foundation for enhanced and precise prognostic predictions in KIRC.
METHODS: Expression profiles and clinical data of KIRC patients were retrieved from the TCGA database to discern differentially expressed DRLncRNAs correlated with overall survival. Cox univariate analysis, Lasso Regression, and Cox multivariate analysis were used to construct a clinical prediction model.
RESULTS: Six signatures, namely FAM83C.AS1, AC136475.2, AC121338.2, AC026401.3, AC254562.3, and AC000050.2, were established to evaluate overall survival (OS) in the context of Kidney renal clear cell carcinoma (KIRC) in this study. Survival analysis and ROC curves demonstrated the strong predictive performance of the associated signature. The nomogram exhibited accurate prognostic predictions for overall patient survival, offering substantial clinical utility. Gene set enrichment analysis revealed that risk signals were enriched in various immune-related pathways. Furthermore, the risk features exhibited significant correlations with immune cells, immune function, immune cell infiltration, and immune checkpoints.
CONCLUSIONS: This study has unveiled, for the first time, six disulfdptosis-related LncRNA signatures, laying a solid foundation for enhanced and precise prognostic predictions in KIRC.
摘要：
■二硫化物凋亡是一种普遍的凋亡机制，与癌症预后有内在联系。然而,在肾肾透明细胞癌(KIRC)中,与二硫键下垂相关的长链非编码RNA(DRLncRNAs)的特异性参与仍未完全了解.本研究旨在阐明在KIRC中与二硫键下垂相关的LncRNAs的潜在预后意义。
方法：从TCGA数据库检索KIRC患者的表达谱和临床数据，以辨别与总生存期相关的差异表达DRLncRNAs。Cox单变量分析，套索回归,采用Cox多变量分析构建临床预测模型。
结果：六个签名，即FAM83C。在这项研究中，AS1，AC136475.2，AC121338.2，AC026401.3，AC254562.3和AC000050.2被建立用于评估肾透明细胞癌（KIRC）背景下的总生存期（OS）。生存分析和ROC曲线证明了相关特征的强预测性能。列线图显示了对患者总体生存的准确预后预测，提供大量的临床效用。基因集富集分析显示，风险信号在各种免疫相关途径中富集。此外，风险特征与免疫细胞表现出显著的相关性，免疫功能，免疫细胞浸润，和免疫检查点。
结论：这项研究揭示了，第一次,六个与凋亡相关的LncRNA签名，为KIRC增强和精确的预后预测奠定了坚实的基础。
方法：从TCGA数据库检索KIRC患者的表达谱和临床数据，以辨别与总生存期相关的差异表达DRLncRNAs。Cox单变量分析，套索回归,采用Cox多变量分析构建临床预测模型。
结果：六个签名，即FAM83C。在这项研究中，AS1，AC136475.2，AC121338.2，AC026401.3，AC254562.3和AC000050.2被建立用于评估肾透明细胞癌（KIRC）背景下的总生存期（OS）。生存分析和ROC曲线证明了相关特征的强预测性能。列线图显示了对患者总体生存的准确预后预测，提供大量的临床效用。基因集富集分析显示，风险信号在各种免疫相关途径中富集。此外，风险特征与免疫细胞表现出显著的相关性，免疫功能，免疫细胞浸润，和免疫检查点。
结论：这项研究揭示了，第一次,六个与凋亡相关的LncRNA签名，为KIRC增强和精确的预后预测奠定了坚实的基础。
