氨基酸代谢相关基因的多组学整合分析鉴定了与乙型肝炎病毒相关的肝细胞癌存活相关的ACCS推定因果变异。

IF 3.4 2区 医学 Q2 ONCOLOGY BMC Cancer Pub Date : 2025-02-18 DOI:10.1186/s12885-025-13604-3
Xiaoxia Wei, Xiaobing Yang, Shuangdi Duan, Qiuling Lin, Moqin Qiu, Qiuping Wen, Qiuyan Mo, Zihan Zhou, Yanji Jiang, Peiqin Chen, Xiumei Liang, Ji Cao, Qian Guo, Hongping Yu, Yingchun Liu
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Next, we developed a pathway-specific genetic risk score (GRS) comprising variants in the AAM pathway. Subsequently, putative causal SNPs were prioritized using SMR by integrating HBV-HCC OS data with expression quantitative trait loci (eQTLs) and DNA methylation QTLs (mQTLs) from the blood, as well a eQTLs of liver tissues.</p><p><strong>Results: </strong>We identified 23 independent variants associated with HBV-HCC OS, and the pathway-specific GRS derived from the identified variants was a significant predictor of HBV-HCC OS. The addition of the GRS significantly improved the predictive performance of the 5-year survival model (AUC increased from 72.04% to 84.67%, P < 0.001). By integrating HBV-HCC OS associated with the eQTLs and mQTLs from the blood, we identified a putative causal variant rs2074038 across HBV-HCC OS, ACCS expression, and DNA methylation. 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引用次数: 0

摘要

背景:氨基酸代谢(AAM)重编程在肝细胞癌(HCC)中起着至关重要的作用,但其遗传病理生理机制尚未完全阐明。因此,我们采用基于汇总数据的孟德尔随机化(SMR)方法,通过整合多组学数据来确定aam相关基因对乙型肝炎病毒(HBV)-HCC生存的推定因果影响。方法:采用多变量Cox比例风险回归模型评估aam相关基因遗传变异与HBV-HCC患者总生存率(OS)之间的关系(n = 866)。接下来,我们开发了一个包含AAM途径变异的途径特异性遗传风险评分(GRS)。随后,通过整合HBV-HCC OS数据、来自血液的表达定量性状位点(eqtl)和DNA甲基化qtl (mqtl)以及肝组织的eqtl,使用SMR对推定的因果snp进行优先排序。结果:我们确定了23个与HBV-HCC OS相关的独立变异,从鉴定的变异中获得的途径特异性GRS是HBV-HCC OS的重要预测因子。GRS的加入显著提高了5年生存模型的预测性能(AUC从72.04%增加到84.67%)。结论:本研究发现rs2074038是一个与HBV-HCC生存不良相关的新型功能SNP,可能介导了ACCS表达的遗传调控。这些发现表明,ACCS是一个潜在的治疗靶点,并强调需要在临床环境中进一步验证。
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Multi-omics integration analysis of the amino-acid metabolism-related genes identifies putatively causal variants of ACCS associated with hepatitis B virus-related hepatocellular carcinoma survival.

Background: Amino acid metabolism (AAM) reprogramming plays a crucial role in hepatocellular carcinoma (HCC), but its genetic pathophysiology was not fully elucidated. Therefore, we employed a summary data-based Mendelian randomization (SMR) approach to identify putative causal effects of the AAM-related genes on hepatitis B virus (HBV)-HCC survival via integrating multi-omics data.

Methods: Multivariate Cox proportional hazards regression models were used to evaluate associations between genetic variants of AAM-related genes and overall survival (OS) of HBV-HCC patients (n = 866). Next, we developed a pathway-specific genetic risk score (GRS) comprising variants in the AAM pathway. Subsequently, putative causal SNPs were prioritized using SMR by integrating HBV-HCC OS data with expression quantitative trait loci (eQTLs) and DNA methylation QTLs (mQTLs) from the blood, as well a eQTLs of liver tissues.

Results: We identified 23 independent variants associated with HBV-HCC OS, and the pathway-specific GRS derived from the identified variants was a significant predictor of HBV-HCC OS. The addition of the GRS significantly improved the predictive performance of the 5-year survival model (AUC increased from 72.04% to 84.67%, P < 0.001). By integrating HBV-HCC OS associated with the eQTLs and mQTLs from the blood, we identified a putative causal variant rs2074038 across HBV-HCC OS, ACCS expression, and DNA methylation. Furthermore, the integration of liver eQTL data revealed that increased expression levels of ACCS by rs2074038 were associated with a worse HBV-HCC OS. Mechanistically, bioinformatics annotation and luciferase reporter assays further demonstrated that rs2074038 contributes to HBV-HCC progression by allele-specific regulation of the ACCS expression.

Conclusions: This study identified rs2074038 as a novel functional SNP associated with poor HBV-HCC survival, likely mediated genetic regulation of ACCS expression. These findings suggest that ACCS is a potential therapeutic target and highlight the need for further validation in clinical settings.

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来源期刊
BMC Cancer
BMC Cancer 医学-肿瘤学
CiteScore
6.00
自引率
2.60%
发文量
1204
审稿时长
6.8 months
期刊介绍: BMC Cancer is an open access, peer-reviewed journal that considers articles on all aspects of cancer research, including the pathophysiology, prevention, diagnosis and treatment of cancers. The journal welcomes submissions concerning molecular and cellular biology, genetics, epidemiology, and clinical trials.
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