A Bioinformatics-Based Approach to Discover Novel Biomarkers in Hepatocellular Carcinoma.

IF 1.3 4区医学 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Iranian Journal of Public Health Pub Date : 2024-06-01

Amir Shourideh, Reza Maddah, Bahareh Shateri Amiri, Zarrin Basharat, Marzieh Shadpirouz

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Abstract

Background: Liver hepatocellular carcinoma (LIHC) is a common cancer with a poor prognosis and high recurrence rate. We aimed to identify potential biomarkers for LIHC by investigating the involvement of hub genes, microRNAs (miRNAs), transcription factors (TFs), and protein kinases (PKs) in its occurrence.

Methods: we conducted a bioinformatics analysis using microarray datasets, the TCGA-LIHC dataset, and text mining to identify differentially expressed genes (DEGs) associated with LIHC. They then performed functional enrichment analysis and gene-disease association analysis. The protein-protein interaction network of the genes was established, and hub genes were identified. The expression levels and survival analysis of these hub genes were evaluated, and their association with miRNAs, TFs, and PKs was assessed.

Results: The analysis identified 122 common genes involved in LIHC pathogenesis. Ten hub genes were filtered out, including CDK1, CCNB1, CCNB2, CCNA2, ASPM, NCAPG, BIRC5, RRM2, KIF20A, and CENPF. The expression level of all hub genes was confirmed, and high expression levels of all hub genes were correlated with poor overall survival of LIHC patients.

Conclusion: Identifying potential biomarkers for LIHC can aid in the design of targeted treatments and improve the survival of LIHC patients. The findings of this study provide a basis for further research in the field of LIHC and contribute to the understanding of its molecular pathogenesis.

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基于生物信息学的方法发现肝细胞癌中的新型生物标记物

背景：肝肝细胞癌（LIHC）是一种常见癌症，预后差且复发率高。我们旨在通过研究枢纽基因、microRNA（miRNA）、转录因子（TF）和蛋白激酶（PK）参与LIHC发生的情况，来确定LIHC的潜在生物标志物。方法：我们使用微阵列数据集、TCGA-LIHC数据集和文本挖掘进行了生物信息学分析，以确定与LIHC相关的差异表达基因（DEG）。然后，他们进行了功能富集分析和基因-疾病关联分析。建立了基因的蛋白-蛋白相互作用网络，并确定了枢纽基因。评估了这些中心基因的表达水平和生存分析，并评估了它们与 miRNA、TFs 和 PKs 的关联：结果：分析发现了122个涉及LIHC发病机制的常见基因。结果：分析发现了122个涉及LIHC发病机制的常见基因，其中10个基因被筛选出来，包括CDK1、CCNB1、CCNB2、CCNA2、ASPM、NCAPG、BIRC5、RRM2、KIF20A和CENPF。所有中枢基因的表达水平都得到了证实，而且所有中枢基因的高表达水平都与LIHC患者的总生存率差相关：结论：确定 LIHC 的潜在生物标志物有助于设计靶向治疗方法，提高 LIHC 患者的生存率。本研究的发现为LIHC领域的进一步研究提供了基础，并有助于理解其分子发病机制。

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

Iranian Journal of Public Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-

CiteScore

2.20

自引率

7.10%

发文量

300

审稿时长

3-8 weeks

期刊介绍： Iranian Journal of Public Health has been continuously published since 1971, as the only Journal in all health domains, with wide distribution (including WHO in Geneva and Cairo) in two languages (English and Persian). From 2001 issue, the Journal is published only in English language. During the last 41 years more than 2000 scientific research papers, results of health activities, surveys and services, have been published in this Journal. To meet the increasing demand of respected researchers, as of January 2012, the Journal is published monthly. I wish this will assist to promote the level of global knowledge. The main topics that the Journal would welcome are: Bioethics, Disaster and Health, Entomology, Epidemiology, Health and Environment, Health Economics, Health Services, Immunology, Medical Genetics, Mental Health, Microbiology, Nutrition and Food Safety, Occupational Health, Oral Health. We would be very delighted to receive your Original papers, Review Articles, Short communications, Case reports and Scientific Letters to the Editor on the above mentioned research areas.