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综合分析确定了一个与乳腺癌有氧糖酵解和枢纽途径相关的新型 lncRNA 预后特征。

Integrated analysis identifies a novel lncRNA prognostic signature associated with aerobic glycolysis and hub pathways in breast cancer.

机构信息

Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.

Department of Ultrasound, Qilu Children's Hospital of Shandong University, Jinan, Shandong, China.

出版信息

Cancer Med. 2021 Nov;10(21):7877-7892. doi: 10.1002/cam4.4291. Epub 2021 Sep 27.

Abstract

Long noncoding RNAs (lncRNAs) play a crucial role in cancer aerobic glycolysis. However, glycolysis-related lncRNAs are still underexplored in breast cancer. In this study, we identified the five most glycolysis-related lncRNAs in breast cancer to construct a prognostic signature, which could distinguish between patients with unfavorable and favorable prognoses. To investigate the role of signature lncRNAs in breast cancer, we profiled their expression levels in breast cancer progression cell line model. Real-time PCR revealed that the five lncRNAs could contribute to breast cancer initiation or progression. Furthermore, we observed that the levels of four lncRNAs expression had a significant trend of gradient upregulation with the addition of glycolysis inhibitor in breast cancer cells. Afterward, random forest and logistic regression were conducted to assess the model's performance in stratifying glycolysis status. Finally, a nomogram including the lncRNA signature and clinical features was developed, and its efficacy in predicting the survival time and clinical utility was evaluated using a calibration curve, concordance index, and decision curve analysis. In this study, gene set enrichment analysis showed that the mTOR pathway, a central pathway in tumor initiation and progression, was significantly enriched in the high-risk group. In addition, gene set variation analysis was performed to validate our findings in two independent datasets. Subsequent weighted gene co-expression network analysis, followed by enrichment analysis, indicated that downstream cell growth-related signaling was strikingly activated in the high-risk group, and may directly promote tumor progression and escalate mortality risk in patients with high-risk scores. Overall, our findings may provide novel insight into lncRNA-related metabolic regulation, and help to develop promising prognostic indicators and therapeutic targets for breast cancer patients.

摘要

长链非编码 RNA(lncRNA)在癌症有氧糖酵解中发挥着关键作用。然而,在乳腺癌中,与糖酵解相关的 lncRNA 仍未得到充分研究。在这项研究中,我们鉴定了乳腺癌中与糖酵解最相关的五个 lncRNA,构建了一个预后特征,可以区分预后不良和预后良好的患者。为了研究特征 lncRNA 在乳腺癌中的作用,我们在乳腺癌进展细胞系模型中分析了它们的表达水平。实时 PCR 显示,这五个 lncRNA 可能有助于乳腺癌的发生或进展。此外,我们观察到,随着乳腺癌细胞中糖酵解抑制剂的加入,四个 lncRNA 表达水平呈明显的梯度上调趋势。随后,我们进行了随机森林和逻辑回归分析,以评估该模型在分层糖酵解状态中的性能。最后,我们开发了一个包含 lncRNA 特征和临床特征的列线图,并通过校准曲线、一致性指数和决策曲线分析评估了其预测生存时间和临床实用性的效果。在这项研究中,基因集富集分析显示,mTOR 通路是肿瘤发生和进展的中心通路,在高风险组中显著富集。此外,我们进行了基因集变异分析,以验证我们在两个独立数据集的发现。随后的加权基因共表达网络分析,以及富集分析,表明下游与细胞生长相关的信号在高风险组中显著激活,可能直接促进肿瘤进展,并增加高风险评分患者的死亡风险。总的来说,我们的研究结果可能为 lncRNA 相关代谢调控提供新的见解,并有助于为乳腺癌患者开发有前途的预后指标和治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a19/8559482/5d44d4f41b5b/CAM4-10-7877-g009.jpg

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