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综合多组学分析确定了与结直肠癌风险相关的关键基因和共定位信号。

Integrative multi-omics analysis identifies key genes and colocalized signals associated with colorectal cancer risk.

作者信息

Xia Lianheng, Wang Jiaxin, Gao Jie, Cui Xuan, Song Meiyu, Ding Wukun, Zhang Jiayuan

机构信息

Heilongjiang University of Chinese Medicine First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, 150040, China.

Department of Restorative Dentistry, Graduate School of Dental Medicine, Hokkaido University, Sapporo, 0608586, Japan.

出版信息

BMC Cancer. 2025 Aug 25;25(1):1372. doi: 10.1186/s12885-025-14798-2.

Abstract

BACKGROUND

Colorectal cancer (CRC) affects approximately 1.9 million people globally each year. While CRC development involves complex genetic and environmental interactions, the underlying molecular mechanisms remain incompletely understood. This study integrated multi-omics data to investigate gene-CRC associations across methylation, expression, and protein levels.

METHODS

We obtained summary statistics from methylation QTL (mQTL), expression QTL (eQTL), and protein QTL (pQTL) studies. CRC genetic associations were derived from a meta-analysis of 31 GWAS datasets (100,204 cases, 154,587 controls). Summary data-based Mendelian randomization (SMR) analysis assessed associations between molecular features and CRC risk, followed by colocalization analysis to identify shared causal variants. Functional enrichment analysis was performed using Gene Ontology (GO) and KEGG pathway databases.

RESULTS

SMR analysis identified 2,387 methylation associations (837 genes) and 707 expression associations with CRC. Integration revealed 158 overlapping genes, with six proteins (CCM2, FTCD, ICAM1, LTA, PCSK7, TNFSF14) validated for CRC association. Four genes—CCM2, FTCD, ICAM1, and TNFSF14—showed consistent effects across expression and protein levels. Higher CCM2 and TNFSF14 levels were protective, while higher FTCD and ICAM1 levels increased CRC risk. Colocalization analysis confirmed that CCM2 (PPH4 = 0.857) and ICAM1 (PPH4 = 0.812) share genetic variants with CRC. Functional enrichment analysis revealed significant involvement in immune-related processes, including interferon-gamma signaling, antigen presentation, and NF-kappa B pathway, as well as cell adhesion and endoplasmic reticulum functions.

CONCLUSIONS

Our multi-omics integration identified CCM2 and ICAM1 as genes causally associated with CRC risk through shared genetic architecture. Functional analysis highlighted their roles in immune regulation and cell adhesion processes. These findings enhance understanding of CRC pathogenesis and highlight potential therapeutic targets.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1186/s12885-025-14798-2.

摘要

背景

全球每年约有190万人受结直肠癌(CRC)影响。虽然CRC的发生涉及复杂的基因与环境相互作用,但其潜在分子机制仍未完全明确。本研究整合多组学数据以探究跨甲基化、表达和蛋白质水平的基因与CRC的关联。

方法

我们从甲基化QTL(mQTL)、表达QTL(eQTL)和蛋白质QTL(pQTL)研究中获取汇总统计数据。CRC基因关联源自对31个全基因组关联研究(GWAS)数据集(100204例病例,154587例对照)的荟萃分析。基于汇总数据的孟德尔随机化(SMR)分析评估分子特征与CRC风险之间的关联,随后进行共定位分析以识别共享的因果变异。使用基因本体(GO)和KEGG通路数据库进行功能富集分析。

结果

SMR分析确定了2387个与CRC的甲基化关联(837个基因)和707个表达关联。整合显示有158个重叠基因,其中六种蛋白质(CCM2、FTCD、ICAM1、LTA、PCSK7、TNFSF14)经CRC关联验证。四个基因——CCM2、FTCD、ICAM1和TNFSF14——在表达和蛋白质水平上显示出一致的效应。较高的CCM2和TNFSF14水平具有保护作用,而较高的FTCD和ICAM1水平会增加CRC风险。共定位分析证实CCM2(PPH4 = 0.857)和ICAM1(PPH4 = 0.812)与CRC共享基因变异。功能富集分析显示显著参与免疫相关过程,包括干扰素-γ信号传导、抗原呈递和NF-κB通路,以及细胞粘附和内质网功能。

结论

我们的多组学整合确定CCM2和ICAM1为通过共享基因结构与CRC风险因果相关的基因。功能分析突出了它们在免疫调节和细胞粘附过程中的作用。这些发现增进了对CRC发病机制的理解,并突出了潜在的治疗靶点。

补充信息

在线版本包含可在10.1186/s12885-025-14798-2获取的补充材料。

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