Lipid Metabolism-related lncRNA Model Identifies AC026412.3 as a Driver of Fatty Acid β-oxidation in Hepatocellular Carcinoma.

IF 6 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY
Lixin Liu, Yuhao Fan, Hao Zou, Sheng Hu, Kui Long, Lianghua Li, Chaosheng Xia, Hongyue Wang, Yang Liu, Runlin Feng, Zongqi Deng, Qiang Kang
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引用次数: 0

Abstract

Background and aims: Dysregulated lipid metabolism contributes to hepatocellular carcinoma (HCC) progression, but the prognostic value and mechanistic roles of lipid metabolism-related long noncoding RNAs (LRLs) remain insufficiently characterized. This study aimed to construct and validate an LRL-based prognostic model and to investigate the biological function and metabolic mechanism of AC026412.3 in HCC.

Methods: Transcriptomic and clinical data from the The Cancer Genome Atlas Liver Hepatocellular Carcinoma cohort were analyzed to identify LRLs based on their correlation with curated lipid metabolism genes. Differential expression, univariate Cox, least absolute shrinkage and selection operator (LASSO), and multivariate Cox analyses were performed to construct a prognostic signature, which was evaluated using Kaplan-Meier survival and time-dependent receiver operating characteristic (ROC) analyses. Functional enrichment analyses Gene Ontology [GO], Kyoto Encyclopedia of Genes and Genomes [KEGG] and gene set enrichment analysis [GSEA], mutation profiling, tumor mutational burden, immune infiltration estimation, and consensus clustering were applied to characterize associated features. A key LRL was identified through integrated bioinformatic screening and prioritization. Its biological role was assessed by quantitative reverse transcription polymerase chain reactionq (RT-PCR), western blotting, BODIPY staining, colony formation, Transwell assays, and xenograft models. RNA sequencing followed by pathway enrichment analysis was conducted to explore underlying mechanisms.

Results: A three-LRL signature (AL031985.3, NRAV, and AC026412.3) stratified HCC patients into distinct risk groups with significantly different survival outcomes and demonstrated independent prognostic value. AC026412.3 was markedly upregulated in HCC and associated with poor prognosis. Functional assays demonstrated that AC026412.3 promoted proliferation, invasion, and tumor growth while reducing lipid accumulation. Mechanistically, AC026412.3 upregulated solute carrier family 22 member 5 (SLC22A5), enhanced fatty acid β-oxidation, and increased adenosine triphosphate (ATP) production, thereby driving metabolic reprogramming.

Conclusions: This study establishes a robust LRL-based prognostic model and identifies AC026412.3 as a key regulator of lipid metabolic reprogramming via the SLC22A5-fatty acid β-oxidation axis, highlighting its potential as a biomarker and therapeutic target in HCC.

脂质代谢相关lncRNA模型鉴定AC026412.3是肝细胞癌中脂肪酸β-氧化的驱动因素
背景和目的:脂质代谢失调有助于肝细胞癌(HCC)的进展,但脂质代谢相关的长链非编码rna (LRLs)的预后价值和机制作用仍未充分表征。本研究旨在构建并验证基于lrr的HCC预后模型,探讨AC026412.3在HCC中的生物学功能和代谢机制。方法:分析来自the Cancer Genome Atlas Liver hepatellular Carcinoma队列的转录组学和临床数据,根据LRLs与脂质代谢基因的相关性来鉴定LRLs。通过差异表达、单变量Cox、最小绝对收缩和选择算子(LASSO)以及多变量Cox分析来构建预后特征,并使用Kaplan-Meier生存期和时间相关的受试者工作特征(ROC)分析来评估预后特征。功能富集分析基因本体(GO)、京都基因与基因组百科全书(KEGG)和基因集富集分析(GSEA)、突变谱分析、肿瘤突变负担、免疫浸润估计和共识聚类来表征相关特征。通过综合生物信息学筛选和优先排序,确定了一个关键的LRL。通过定量逆转录聚合酶链反应(RT-PCR)、western blotting、BODIPY染色、菌落形成、Transwell实验和异种移植模型来评估其生物学作用。通过RNA测序和途径富集分析来探索其潜在机制。结果:三个lrl特征(AL031985.3、NRAV和AC026412.3)将HCC患者分层为不同的危险组,生存结果有显著差异,具有独立的预后价值。AC026412.3在HCC中表达明显上调,与预后不良相关。功能分析表明AC026412.3促进了肿瘤的增殖、侵袭和生长,同时减少了脂质积累。机制上,AC026412.3上调溶质载体家族22成员5 (SLC22A5),增强脂肪酸β-氧化,增加三磷酸腺苷(ATP)的产生,从而驱动代谢重编程。结论:本研究建立了一个强大的基于lrr的预后模型,并确定AC026412.3是通过slc22a5 -脂肪酸β-氧化轴脂质代谢重编程的关键调节因子,突出了其作为HCC生物标志物和治疗靶点的潜力。
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来源期刊
Journal of Clinical and Translational Hepatology
Journal of Clinical and Translational Hepatology GASTROENTEROLOGY & HEPATOLOGY-
CiteScore
6.40
自引率
2.80%
发文量
496
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