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揭开肝细胞癌治疗的未来:对与二硫键介导的程序性坏死相关的长链非编码RNA进行预后和药物筛选的综合分析

Unlocking the future of hepatocellular carcinoma treatment: A comprehensive analysis of disulfidptosis-related lncRNAs for prognosis and drug screening.

作者信息

Wang Haojun, Wang Wei

机构信息

Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.

Capital Medical University, Beijing, 100071, China.

出版信息

Open Med (Wars). 2024 Apr 5;19(1):20240919. doi: 10.1515/med-2024-0919. eCollection 2024.

Abstract

BACKGROUND

The disulfide stress-induced cell death known as disulfidptosis is characterized by the disintegration of cytoskeletal proteins and F-actin as a result of an excessive buildup of disulfides within the cell. The relationship between disulfidptosis-associated long non-coding RNA (lncRNA) in hepatocellular carcinoma (HCC) progression is still not clearly understood. In this article, we aim to explore the crucial role of lncRNA in HCC.

METHODS

We initially obtained lncRNA related to HCC and clinical data from TCGA. The genes associated with disulfidptosis were identified through co-expression analysis, Cox regression, and Lasso regression. Additionally, we established a prognostic model for verification.

RESULTS

The risk model constructed with disulfidptosis-related lncRNA has been confirmed to be a good predictor of high and low-risk groups of HCC patients through survival curves, independent prognostic analysis, concordance index (C-index), ROC curves, and Kaplan-Meier plots. We also discovered differences in the response to immune targets and anticancer drugs between the two groups of patients, with GDC0810, Osimertinib, Paclitaxel, and YK-4-279 being more effective for patients in the high-risk group.

CONCLUSION

In conclusion, we have developed a risk model that can guide future efforts to diagnose and treat HCC.

摘要

背景

二硫键应激诱导的细胞死亡即二硫键化坏死,其特征是由于细胞内二硫键过度积累导致细胞骨架蛋白和F-肌动蛋白解体。肝细胞癌(HCC)进展过程中与二硫键化坏死相关的长链非编码RNA(lncRNA)之间的关系仍不清楚。在本文中,我们旨在探讨lncRNA在HCC中的关键作用。

方法

我们最初从TCGA获得了与HCC相关的lncRNA和临床数据。通过共表达分析、Cox回归和Lasso回归鉴定与二硫键化坏死相关的基因。此外,我们建立了一个预后模型进行验证。

结果

通过生存曲线、独立预后分析、一致性指数(C-index)、ROC曲线和Kaplan-Meier图,已证实用与二硫键化坏死相关的lncRNA构建的风险模型是HCC患者高风险和低风险组的良好预测指标。我们还发现两组患者对免疫靶点和抗癌药物的反应存在差异,GDC0810、奥希替尼、紫杉醇和YK-4-279对高风险组患者更有效。

结论

总之,我们开发了一个风险模型,可指导未来HCC的诊断和治疗工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b838/10998672/fb17e342775a/j_med-2024-0919-fig001.jpg

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