Functional characterization of angiogenesis genes in hepatocellular carcinoma via integrated bulk and single cell RNA sequencing

通过整合批量和单细胞RNA测序技术对肝细胞癌中血管生成基因进行功能表征

阅读:6

Abstract

Hepatocellular carcinoma (HCC) originates from hepatocytes and accounts for over 80% of primary liver cancers. Despite numerous studies have explained the role of certain angiogenesis-related and integrated stress response related genes in the development of HCC, few studies have explored the function of all angiogenesis-related and ISR(Integrated stress response)-related genes, as well as their applications in therapeutic prediction models. Here, by integrating bulk and single cell transcriptome data, We first explored the expression patterns of genes at the intersection of angiogenesis and the integrated stress response (ISR). To comprehensively identify angiogenesis-related gene modules, we then performed WGCNA (weighted gene co-expression network analysis) using a broader angiogenesis gene set, revealing modules strongly correlated with angiogenic activity.Based on these core genes, we constructed a prognostic model to evaluate patient outcomes and responses to immunotherapy, which is valuable for informing treatment options. Furthermore, through drug response modeling, we identified several drugs targeting angiogenesis genes that could serve as potential therapeutic options. Single-cell transcriptome analysis also revealed that DAB2, which is highly expressed in APOA2+ macrophages, may be involved in the cellular response to signals from fibroblast cells via the THY1 pathway. Finally, molecular docking studies indicated that dihydroergotamine might be a promising candidate drug for targeting DAB2. This study systematically investigated the expression changes of angiogenesis genes in HCC, constructed a tumor prognosis prediction model, and explored potential therapeutic targets and drugs. These findings are of significance for guiding the selection of treatment options and identifying therapeutic targets for HCC.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。