Causal roles and clinical utility of cardiovascular proteins in colorectal cancer risk: a multi-modal study integrating mendelian randomization, expression profiling, and survival analysis

孟德尔随机化 生物 结直肠癌 基因表达谱 肿瘤科 生物信息学 计算生物学 癌症 基因表达 基因 医学 遗传学 基因型 遗传变异
作者
Chenlei Tan,Yanhua Li,Kexin Wang,Ying Lin,Yu Chen,Xuebao Zheng
出处
期刊:BMC Medical Genomics [Springer Nature]
卷期号:17 (1)
标识
DOI:10.1186/s12920-024-01909-4
摘要

Abstract Purpose This comprehensive investigation delved into the intricate causal interplay existing between cardiovascular-related plasma proteins and the susceptibility to colorectal cancer, leveraging the robust framework of Mendelian randomization, and employed expression profiling and survival analysis to unravel the latent clinical worth embedded within pertinent gene expressions. Methods Protein quantitative trait loci (pQTLs) of 85 cardiovascular proteins were employed as instrumental variables to investigate the causal relationship between proteins and CRC risk using a Mendelian randomization approach. Causal inferences were graded as strong, intermediate or weak based on statistical checks. Drug-target MR examined VEGF receptors for their potential as therapeutic targets for colorectal cancer. Differential expression analysis, diagnostic ROC curves, and survival analyses were performed for identified proteins using RNA-seq data from The Cancer Genome Atlas (TCGA) colorectal cancer cohort. Results Using cis-pQTLs, LOX-1, VEGF-A and OPG were associated with increased CRC risk (strong evidence), while PTX3, TNF-R2 and MMP-7 were protective (strong evidence). Pan-pQTL analysis found MMP-10 increased risk (intermediate evidence) and ADM increased risk (weak evidence). Drug-target MR found VEGF R1 may be promising therapeutic targets. Differential expression analysis revealed seven genes encoding the identified proteins were dysregulated in tumors. ROC analysis showed five gene expression had high diagnostic accuracy. KM analysis showed four genes had prognostic value. Conclusions This large-scale MR study implicates several cardiovascular proteins in CRC susceptibility and progression. Findings highlight roles for VEGF signaling and extracellular matrix regulation. Results nominate specific proteins as potential diagnostic biomarkers or therapeutic targets warranting further investigation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
思敏完成签到,获得积分20
刚刚
aser发布了新的文献求助10
刚刚
16PRO完成签到,获得积分10
1秒前
ZZC驳回了大个应助
1秒前
Amadeus发布了新的文献求助10
1秒前
2秒前
田...发布了新的文献求助10
2秒前
taco发布了新的文献求助10
2秒前
所所应助糊涂的凡松采纳,获得10
2秒前
3秒前
3秒前
领导范儿应助研友_8DWD3Z采纳,获得10
3秒前
qaqa发布了新的文献求助10
4秒前
xs应助阿伟打采纳,获得10
4秒前
4秒前
Orange应助王开晙采纳,获得10
4秒前
汉堡包应助dingyn-2采纳,获得10
4秒前
斯文败类应助ljw采纳,获得10
5秒前
流水z发布了新的文献求助10
5秒前
从容盼山应助外向的导师采纳,获得10
5秒前
科研通AI5应助满意涵梅采纳,获得30
5秒前
6秒前
6秒前
Wonder罗发布了新的文献求助10
6秒前
Amadeus完成签到,获得积分10
7秒前
fcyyc发布了新的文献求助10
7秒前
aser完成签到,获得积分10
8秒前
北栀发布了新的文献求助10
8秒前
思源应助秀丽煎蛋采纳,获得10
8秒前
10秒前
10秒前
onedowmsk发布了新的文献求助10
10秒前
炭炭火完成签到,获得积分20
10秒前
繁荣的夏岚完成签到 ,获得积分10
11秒前
11秒前
11秒前
小崽总发布了新的文献求助10
11秒前
天天快乐应助TH采纳,获得10
11秒前
迷路以蓝完成签到,获得积分10
11秒前
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Host Response to Biomaterials 2000
Comprehensive Computational Chemistry 1000
Kelsen’s Legacy: Legal Normativity, International Law and Democracy 1000
Conference Record, IAS Annual Meeting 1977 610
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3553771
求助须知:如何正确求助?哪些是违规求助? 3129584
关于积分的说明 9383226
捐赠科研通 2828746
什么是DOI,文献DOI怎么找? 1555126
邀请新用户注册赠送积分活动 725831
科研通“疑难数据库(出版商)”最低求助积分说明 715267