Qi Lishuang, Tan Yilong, Zhou Yunfei, Dong Yihong, Yang Xun, Chang Shuyuan, Yu Lei, Liu Dabin
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin150086, China.
NHC Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, Harbin Medical University, Harbin, 150001, China.
Curr Gene Ther. 2024 Sep 6. doi: 10.2174/0115665232308821240826075513.
Metabolic disorders are significant risk factors for liver cancer, particularly Hepatocellular Carcinoma (HCC). However, the molecular genetic basis of metabolic reprogramming in the liver remains largely uncertain.
This study aimed to investigate some novel prognostic biomarkers in HCC by using proteogenomic and transcriptomic analysis and explore the potential role of specific prognostic genes in HCC.
Here, we have presented a proteogenomic analysis of 10 pairs of HCC. Protein co-expression and pathway analysis were performed to investigate the biological characteristics of HCC. Protein and mRNA expression profiles of multi-cohorts were integrated to detect novel prognostic protein markers of HCC. The carcinogenic roles of candidate prognostic markers were further evaluated by MTS assay, colony formation, monolayer wound healing assay, and xenograft models.
A total of 2086 proteins with significantly different expressions were detected in HCC. Pathways related to oncogenic signaling and insulin-related metabolism have been found to be dysregulated and differentially regulated in HCC. We have identified the novel prognostic biomarkers, KIF5B, involved in liver metabolic reprogramming. The biomarkers were identified using multivariable COX regression analysis from two independent proteomic datasets (Fudan Cohort and our recruited cohort) and the TCGA mRNA database. Both the protein and mRNA up-regulation of KIF5B have been found to be associated with a poor clinical outcome in HCC. Insulin activated the protein expression of KIF5B in HCC. Knocking out KIF5B expression by sgRNA decreased the protein expression of FASN and SCD1 and the intracellular triglyceride concentration. Silencing KIF5B suppressed HCC cell proliferation and colony formation in vitro, as well as HCC growth in xenograft models.
Our findings have suggested KIF5B protein to function as a novel prognostic biomarker in HCC. KIF5B expression has been found to activate the AKT/mTOR pathway and reprogram triglyceride metabolism, leading to HCC development. Targeting KIF5B may be an effective strategy in the clinical treatment of HCC.
代谢紊乱是肝癌,尤其是肝细胞癌(HCC)的重要危险因素。然而,肝脏中代谢重编程的分子遗传基础在很大程度上仍不明确。
本研究旨在通过蛋白质基因组学和转录组学分析研究HCC中的一些新型预后生物标志物,并探讨特定预后基因在HCC中的潜在作用。
在此,我们展示了对10对HCC的蛋白质基因组学分析。进行蛋白质共表达和通路分析以研究HCC的生物学特性。整合多队列的蛋白质和mRNA表达谱以检测HCC的新型预后蛋白质标志物。通过MTS测定、集落形成、单层伤口愈合测定和异种移植模型进一步评估候选预后标志物的致癌作用。
在HCC中检测到总共2086种表达有显著差异的蛋白质。已发现与致癌信号传导和胰岛素相关代谢相关的通路在HCC中失调且存在差异调节。我们鉴定出参与肝脏代谢重编程的新型预后生物标志物KIF5B。这些生物标志物是使用来自两个独立蛋白质组数据集(复旦大学队列和我们招募的队列)的多变量COX回归分析以及TCGA mRNA数据库鉴定出来的。已发现KIF5B的蛋白质和mRNA上调均与HCC的不良临床结局相关。胰岛素激活了HCC中KIF5B的蛋白质表达。通过sgRNA敲除KIF5B表达降低了FASN和SCD1的蛋白质表达以及细胞内甘油三酯浓度。沉默KIF5B抑制了体外HCC细胞增殖和集落形成,以及异种移植模型中HCC的生长。
我们的研究结果表明KIF5B蛋白可作为HCC中的一种新型预后生物标志物。已发现KIF5B表达激活AKT/mTOR通路并重新编程甘油三酯代谢,导致HCC发展。靶向KIF5B可能是HCC临床治疗中的一种有效策略。