Identification and validation of centrosome-related features predicting prognosis in hepatocellular carcinoma.

IF 1.6 4区医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-09-29 DOI:10.1080/10255842.2025.2566280

Qingqing Wang, Yifan Lu, Songhai Chen, Xuanzeng Pei, Jie Zhang

引用次数: 0

Abstract

Hepatocellular carcinoma (HCC) is commonly linked with centrosome abnormalities that contribute to chromosomal instability and tumor progression. Four prognostic centrosome-related genes (CRGs): DYNLL1, CEP85, C10orf90, and CETN1 were utilized to develop a risk model for HCC. The model demonstrated strong prognostic reliability. Both risk score and risk group served as independent prognostic predictors for HCC. Further analyses revealed that the low-risk group was associated with metabolism and detoxification pathways and exhibited a lower abundance of M2 macrophages. Additionally, high expression levels of DYNLL1 and CETN1 were significantly correlated with poorer prognosis, with upregulation of DYNLL1 confirmed in HCC patients.

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肝细胞癌中心体相关特征预测预后的鉴定和验证。

肝细胞癌（HCC）通常与中心体异常有关，中心体异常导致染色体不稳定和肿瘤进展。四个预后中心体相关基因（CRGs）： DYNLL1、CEP85、C10orf90和CETN1被用来建立HCC的风险模型。该模型显示了很强的预测可靠性。风险评分和风险组均可作为HCC的独立预后预测指标。进一步分析显示，低风险组与代谢和解毒途径相关，M2巨噬细胞丰度较低。此外，DYNLL1和CETN1的高表达水平与较差的预后显著相关，HCC患者中证实了DYNLL1的上调。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Methods in Biomechanics and Biomedical Engineering 工程技术-工程：生物医学

CiteScore

4.10

自引率

6.20%

发文量

179

审稿时长

4-8 weeks

期刊介绍： The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.