肝细胞癌细胞死亡相关基因预后标记的构建与验证。

IF 1.5 4区 医学 Q4 ONCOLOGY
Translational cancer research Pub Date : 2025-02-28 Epub Date: 2025-02-26 DOI:10.21037/tcr-24-1315
Yue Ma, Che Ismail Che Noh, Rahmawati Pare
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引用次数: 0

摘要

背景:细胞死亡途径,包括凋亡、自噬和坏死下垂,在肝细胞癌(HCC)的进展和结局中起着重要作用。然而,将三种细胞死亡途径整合到HCC的预后特征中尚未有报道。本研究旨在探讨细胞死亡相关基因(CDRGs)与预后、免疫微环境和免疫检查点的关系。方法:从Cancer Genome Atlas (TCGA)、Gene expression Omnibus (GEO)、International Cancer Genome Consortium (ICGC)中检索HCC的RNA表达谱及相关临床资料。采用单因素Cox回归分析确定相关预后基因,采用Lasso Cox回归分析计算风险评分。分析风险评分与临床病理特征、免疫细胞浸润、免疫检查点表达的关系。结果:从确定的cdrg中构建HCC预后风险模型,并根据风险评分对患者进行亚组。HCC高危患者的总生存率(OS)明显低于低危患者。此外,受试者工作特征(ROC)曲线显示了风险评分的预测能力。高危组患者免疫细胞浸润较低,免疫检查点分子表达水平较高。结论:本文建立的细胞死亡相关特征提供了一个有价值的生存预测工具,并有望成为HCC的潜在治疗性生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction and validation of a cell death-related genes prognosis signature of hepatocellular carcinoma.

Background: The cell death pathway, including apoptosis, autophagy, and necroptosis, plays an essential role in hepatocellular carcinoma (HCC) progression and outcome. However, the integration of the three cell death pathways into a prognostic signature has not yet been reported in HCC. This study aimed to investigate the association among cell death-related genes (CDRGs), prognosis, immune microenvironment, and immune checkpoint.

Methods: The RNA expression profiles and corresponding clinical data of HCC were retrieved from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and International Cancer Genome Consortium (ICGC). Univariate Cox regression analysis was performed to identify the relevant prognostic genes, and Lasso Cox regression analysis was employed to calculate the risk score. The relationship between the risk score and clinicopathological characteristics, immune cell infiltration, and immune checkpoint expression was analyzed.

Results: A prognostic risk model for HCC was constructed from the identified CDRGs and patients were subgrouped based on risk score. High-risk patients for HCC exhibited a significantly lower overall survival (OS) rate than the low-risk patients. In addition, the receiver operating characteristic (ROC) curve demonstrated the predictive ability of the risk score. Patients in the high-risk group exhibited lower immune cell infiltration and higher expression levels of immune checkpoint molecules.

Conclusions: The cell death-related signature established herein provides a valuable predictive tool for survival and holds promise as a potential therapeutic biomarker for HCC.

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来源期刊
CiteScore
2.10
自引率
0.00%
发文量
252
期刊介绍: Translational Cancer Research (Transl Cancer Res TCR; Print ISSN: 2218-676X; Online ISSN 2219-6803; http://tcr.amegroups.com/) is an Open Access, peer-reviewed journal, indexed in Science Citation Index Expanded (SCIE). TCR publishes laboratory studies of novel therapeutic interventions as well as clinical trials which evaluate new treatment paradigms for cancer; results of novel research investigations which bridge the laboratory and clinical settings including risk assessment, cellular and molecular characterization, prevention, detection, diagnosis and treatment of human cancers with the overall goal of improving the clinical care of cancer patients. The focus of TCR is original, peer-reviewed, science-based research that successfully advances clinical medicine toward the goal of improving patients'' quality of life. The editors and an international advisory group of scientists and clinician-scientists as well as other experts will hold TCR articles to the high-quality standards. We accept Original Articles as well as Review Articles, Editorials and Brief Articles.
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