Abusaliya Abuyaseer, Kim Hun Hwan, Vetrivel Preethi, Bhosale Pritam Bhagwan, Jeong Se Hyo, Park Min Yeong, Lee Si Joon, Kim Gon Sup
Department of Veterinary Medicine, Research Institute of Life Science, Gyeongsang National University, Jinju, Republic of Korea.
Preclinical Research Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, Republic of Korea.
Front Pharmacol. 2024 Nov 1;15:1400186. doi: 10.3389/fphar.2024.1400186. eCollection 2024.
Liver cancer represents a complex and severe ailment that poses tough challenges to global healthcare. Transcriptome sequencing plays a crucial role in enhancing our understanding of cancer biology and accelerating the development of more effective methods for cancer diagnosis and treatment. In the course of our current investigation, we identified a total of 1,149 differentially expressed genes (DEGs), encompassing 499 upregulated and 650 downregulated genes, subsequent to prunetrin (PUR) treatment. Our methodology encompassed gene and pathway enrichment analysis, functional annotation, KEGG pathway assessments, and protein-protein interaction (PPI) analysis of the DEGs. The preeminent genes within the DEGs were found to be associated with apoptotic processes, cell cycle regulation, the PI3k/Akt pathway, the MAPK pathway, and the mTOR pathway. Furthermore, key apoptotic-related genes exhibited close interconnections and cluster analysis found three interacting hub genes namely, , and . Validation of these genes was achieved through GEPIA and western blotting. Collectively, our findings provide insights into the functional landscape of liver cancer-related genes, shedding light on the molecular mechanisms driving disease progression and highlighting potential targets for therapeutic intervention.
肝癌是一种复杂而严重的疾病,给全球医疗保健带来了严峻挑战。转录组测序在增进我们对癌症生物学的理解以及加速开发更有效的癌症诊断和治疗方法方面发挥着关键作用。在我们目前的研究过程中,在使用京尼平苷(PUR)治疗后,我们共鉴定出1149个差异表达基因(DEG),其中包括499个上调基因和650个下调基因。我们的方法包括基因和通路富集分析、功能注释、KEGG通路评估以及对DEG的蛋白质-蛋白质相互作用(PPI)分析。发现DEG中的主要基因与凋亡过程、细胞周期调控、PI3k/Akt通路、MAPK通路和mTOR通路有关。此外,关键的凋亡相关基因表现出密切的相互联系,聚类分析发现了三个相互作用的枢纽基因,即 、 和 。通过GEPIA和蛋白质免疫印迹法对这些基因进行了验证。总的来说,我们的研究结果为肝癌相关基因的功能格局提供了见解,揭示了驱动疾病进展的分子机制,并突出了治疗干预的潜在靶点。