Exploring the level of metabolic reprogramming and the role of prognostic factor SF3A3 in hepatocellular carcinoma through integrated single-cell landscape analysis.

IF 2.9 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
PLoS ONE Pub Date : 2025-05-27 eCollection Date: 2025-01-01 DOI:10.1371/journal.pone.0323559
Wanshuo Wei, Yuan Gan, Xindan Zhang, Yumo Chen, Zengfeng Huang, Shuhan Wang, Xiaomei Xie, Yongle Li, Pengtao Qin, Lihe Jiang
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Abstract

This study aims to investigate metabolic reprogramming heterogeneity in hepatocellular carcinoma (HCC) cells and identify novel therapeutic targets for HCC treatment. Single-cell RNA sequencing data from public databases were used to analyze the TME of HCC and reveal the characteristics of different cell subsets, including mononuclear phagocytes, epithelial cells, endothelial cells, NK/T cells, B cells, and unknown cells. The analysis revealed that these cell subsets play their own unique roles in tumor progression and immune escape. Analysis of copy number variations (CNVs) was performed on tumor-derived epithelial cells, with the epithelial cells in Cluster 3 subgroup showing the highest CNV levels. Gene Ontology (GO) enrichment analysis revealed that these cell subsets were involved in a variety of biological processes such as immune response, cell communication, and metabolic pathways, which were consistent with their functional roles. Pseudotemporal analysis further delineated the malignant trajectory of HCC cells, with Cluster 3 exhibiting enhanced phosphatidylinositol metabolism, suggesting a critical role for metabolic reprogramming in tumor invasion and proliferation. Furthermore, a diagnostic model incorporating metabolic reprogramming-associated gene signatures was established, which effectively distinguished HCC from normal tissues. Among these signatures, splicing factor 3a subunit 3 (SF3A3) was identified as both diagnostic and independent prognostic biomarker. Mechanistically, SF3A3 knockdown in HCC cell lines significantly suppressed proliferation, migration, PI3K/AKT signaling, and EMT marker expression, thereby demonstrating its role in driving HCC aggressiveness. In conclusion, these findings elucidate novel molecular characteristics of HCC based on metabolic reprogramming, while establishing SF3A3 as a promising multi-faceted target for HCC diagnosis, prognostic assessment, and therapeutic intervention.

通过综合单细胞景观分析,探讨代谢重编程水平及预后因子SF3A3在肝癌中的作用。
本研究旨在研究肝细胞癌(HCC)细胞的代谢重编程异质性,并确定HCC治疗的新靶点。利用公共数据库的单细胞RNA测序数据分析HCC的TME,揭示不同细胞亚群的特征,包括单核吞噬细胞、上皮细胞、内皮细胞、NK/T细胞、B细胞和未知细胞。分析显示,这些细胞亚群在肿瘤进展和免疫逃逸中发挥着自己独特的作用。对肿瘤源性上皮细胞进行拷贝数变异(CNV)分析,簇3亚组上皮细胞的拷贝数变异水平最高。基因本体(Gene Ontology, GO)富集分析显示,这些细胞亚群参与多种生物过程,如免疫反应、细胞通讯和代谢途径,这与它们的功能作用是一致的。伪时间分析进一步描绘了HCC细胞的恶性轨迹,簇3表现出增强的磷脂酰肌醇代谢,表明代谢重编程在肿瘤侵袭和增殖中起关键作用。此外,我们建立了一个包含代谢重编程相关基因特征的诊断模型,有效地将HCC与正常组织区分开来。在这些特征中,剪接因子3a亚基3 (SF3A3)被确定为诊断和独立的预后生物标志物。在机制上,SF3A3在HCC细胞系中下调可显著抑制增殖、迁移、PI3K/AKT信号和EMT标记物表达,从而证明其在推动HCC侵袭性中的作用。总之,这些发现阐明了基于代谢重编程的HCC的新分子特征,同时建立了SF3A3作为HCC诊断、预后评估和治疗干预的有前途的多面靶点。
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
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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