Hu Qiang, Wang Yiduo, Mao Weipu
Urology, Zhongda Hospital, Southeast University, Nanjing, CHN.
Cureus. 2024 May 11;16(5):e60093. doi: 10.7759/cureus.60093. eCollection 2024 May.
Accumulative evidence confirms that glycolysis and long non-coding RNAs (lncRNAs) are closely associated with tumor development. The aim of this study was to construct a novel prognostic model based on glycolysis-related lncRNAs (GRLs) in breast cancer patients. By performing Pearson correlation analysis and Lasso regression analysis on differentially expressed genes and lncRNAs associated with glycolysis in the Cancer Genome Atlas (TCGA) and Gene Set Enrichment Analysis (GSEA) datasets, we identified nine GRLs and constructed associated prognostic risk signature. Kaplan-Meier survival analysis and univariate and multivariate Cox analysis showed that patients in the low-risk group had a better prognosis. The receiver operator characteristics (ROC) curves showed that the area under the curve (AUC) of the prognostic risk signature predicting patients' overall survival at 1-, 3- and 5- years was 0.78, 0.71, and 0.71, respectively. Moreover, the validation curves also showed that the signature had better diagnostic efficacy and clinical predictive power. Furthermore, clone formation assay, EdU assay, and Transwell assay showed that knockdown of LINC01070 inhibited breast cancer progression. We developed a prognostic risk-associated GRLs signature that can accurately predict the breast cancer patient's prognostic status, and LINC01070 can be used as a potential biomarker for the prognosis of breast cancer patients.
越来越多的证据证实,糖酵解与长链非编码RNA(lncRNA)与肿瘤发展密切相关。本研究旨在基于乳腺癌患者中与糖酵解相关的lncRNA(GRL)构建一种新的预后模型。通过对癌症基因组图谱(TCGA)和基因集富集分析(GSEA)数据集中与糖酵解相关的差异表达基因和lncRNA进行Pearson相关分析和Lasso回归分析,我们鉴定出9个GRL,并构建了相关的预后风险特征。Kaplan-Meier生存分析以及单因素和多因素Cox分析表明,低风险组患者的预后更好。受试者工作特征(ROC)曲线显示,预测患者1年、3年和5年总生存的预后风险特征的曲线下面积(AUC)分别为0.78、0.71和0.71。此外,验证曲线也表明该特征具有更好的诊断效能和临床预测能力。此外,克隆形成试验、EdU试验和Transwell试验表明,敲低LINC01070可抑制乳腺癌进展。我们开发了一种与预后风险相关的GRL特征,可准确预测乳腺癌患者的预后状态,且LINC01070可作为乳腺癌患者预后的潜在生物标志物。