4.7 Article

Integrative computational modeling to unravel novel potential biomarkers in hepatocellular carcinoma

期刊

COMPUTERS IN BIOLOGY AND MEDICINE
卷 159, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compbiomed.2023.106957

关键词

Hepatocellular carcinoma; Meta-analysis; Genome-scale metabolic modeling; Network analysis; Enriched pathways; Enriched reactions; Enriched subsystems

向作者/读者索取更多资源

Hepatocellular carcinoma (HCC) is a global health problem with limited diagnostic tools and treatment options. Early detection is crucial for better clinical outcomes, but symptoms often appear late. This study identifies novel genes and key pathways involved in HCC through meta-analysis and network analysis. Fatty acid metabolism, complement and coagulation cascade, chemical carcinogenesis, and retinol metabolism are key pathways, and fatty acid activation, purine metabolism, vitamin D, and E metabolism are key processes in HCC development, suggesting potential targets for new therapies.
Hepatocellular carcinoma (HCC) is a major health problem around the world. The management of this disease is complicated by the lack of noninvasive diagnostic tools and the few treatment options available. Better clinical outcomes can be achieved if HCC is detected early, but unfortunately, clinical signs appear when the disease is in its late stages. We aim to identify novel genes that can be targeted for the diagnosis and therapy of HCC. We performed a meta-analysis of transcriptomics data to identify differentially expressed genes and applied network analysis to identify hub genes. Fatty acid metabolism, complement and coagulation cascade, chemical carcinogenesis and retinol metabolism were identified as key pathways in HCC. Furthermore, we integrated transcriptomics data into a reference human genome-scale metabolic model to identify key reactions and subsystems relevant in HCC. We conclude that fatty acid activation, purine metabolism, vitamin D, and E metabolism are key processes in the development of HCC and therefore need to be further explored for the development of new therapies. We provide the first evidence that GABRP, HBG1 and DAK (TKFC) genes are important in HCC in humans and warrant further studies.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据