营养对消化系统肿瘤影响的多维证据链:孟德尔随机化因果推断、NHANES流行病学数据和转录组学分析的整合。

IF 2.4 4区 医学 Q3 NUTRITION & DIETETICS
Yuan Chen, Yaodong Ping, Hong Liu, Benben Zhu, Xueyan Jiang, Rong Fu, Yiwei Hao, Yan Yang, Chunlei Miao, Yuli Liu
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引用次数: 0

摘要

背景:消化系统肿瘤(如肝细胞癌、胃癌、结直肠癌)的全球负担持续上升,晚期生存率低,需要基于病因的干预策略。营养代谢紊乱与肿瘤进展密切相关,但现有的研究主要集中在相关性分析上,对因果关系和分子机制知之甚少。目的:结合孟德尔随机化(MR)、全国健康与营养调查(NHANES)流行病学数据和转录组学数据分析,阐明营养状况对消化系统肿瘤的影响,识别关键基因,建立精确营养干预的预后模型,提出潜在的治疗方向。方法:因果推理:使用OpenGWAS数据进行MR分析,评估营养症状与消化系统肿瘤之间的因果关系。流行病学验证:限制三次样条模型分析了1999-2002年NHANES数据(n = 2532)中营养状况(老年营养风险指数[GNRI])和端粒长度(DNAmTL)之间的非线性关联。性别分层和中介效应测试营养途径。分子机制:来自TCGA (CHOL, LIHC, COAD等)的转录组学数据鉴定了营养不良相关基因。结合生存分析、免疫亚型分类(C1-C6)和肿瘤微环境评分(ESTIMATE/RNAss)建立Cox预后模型。机器学习(ML;随机森林/支持向量机)筛选关键基因。CellMiner数据库将基因表达与药物敏感性联系起来。结果:因果关系:MR证实营养对消化系统肿瘤风险有显著的因果关系(PIVW < 0.05)。性别异质性:男性在GNRI bb0 115时端粒缩短加速(β = -0.0123/单位,P = 0.035),而女性端粒缩短无显著相关性。饮食质量(健康饮食指数)直接保护端粒(β = 0.069, P = 0.003),与海鲜/植物蛋白(β = 0.066)和全水果摄入量(β = 0.067)有关。关键基因:ML鉴定出ACTG2、MSX1和COL7A1为核心驱动基因。预后模型:采用风险评分模型(ATP6V0A1*0.70 + TP63*0.37 + SLC7A7*0.49 + ARHGAP29*0.33 + CDH1*(-0.50))区分高/低风险组(AUC = 0.977)。潜在可用药物:唑来膦酸盐、LY-294002和依维莫司可能是治疗营养不良消化道肿瘤的潜在选择。结论:本研究通过遗传、分子和免疫途径系统地揭示了营养不良与消化系统肿瘤进展的多维机制。关键基因(ACTG2, MSX1, COL7A1)和性别特异性干预为精准肿瘤学提供了新的策略。未来在跨种族队列和临床试验中的验证是有必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multidimensional Evidence Chain of Nutritional Impact on Digestive System Tumors: Integration of Mendelian Randomization Causal Inference, NHANES Epidemiological Data, and Transcriptomic Analysis.

Background: The global burden of digestive system tumors (e.g., hepatocellular carcinoma, gastric cancer, colorectal cancer) continues to rise, with low survival rates in advanced stages, necessitating etiology-based intervention strategies. Nutritional metabolic disorders are closely linked to tumor progression, but existing studies predominantly focus on correlational analyses, leaving causal relationships and molecular mechanisms poorly understood.

Objective: Integrating Mendelian randomization (MR), National Health and Nutrition Examination Survey (NHANES) epidemiological data, and transcriptomic data analysis, this study aims to elucidate the impact of nutritional status on digestive system tumors, identify key genes, develop prognostic models for precise nutritional interventions, and propose potential therapeutic directions.

Methods: Causal Inference: MR analysis using OpenGWAS data to assess causal associations between nutritional symptoms and digestive system tumor. Epidemiological Validation: Restricted cubic spline models analyzed nonlinear associations between nutritional status (Geriatric Nutritional Risk Index [GNRI]) and telomere length (DNAmTL) in NHANES 1999-2002 data (n = 2,532). Gender stratification and mediation effects tested nutritional pathways. Molecular Mechanism: Transcriptomic data from TCGA (CHOL, LIHC, COAD, etc.) identified malnutrition-related genes. Survival analysis, immune subtype classification (C1-C6), and tumor microenvironment scoring (ESTIMATE/RNAss) were integrated to build a Cox prognostic model. Machine learning (ML; Random Forest/Support Vector Machine) screened key genes. CellMiner database linked gene expression to drug sensitivity.

Results: Causal Association: MR confirmed significant causal effects of nutrition on digestive system tumor risk (PIVW < 0.05). Gender Heterogeneity: Males exhibited accelerated telomere shortening at GNRI > 115 (β = -0.0123/unit, P = 0.035), while females showed no significant association. Dietary quality (Healthy Eating Index) directly protected telomeres (β = 0.069, P = 0.003), linked to seafood/plant protein (β = 0.066) and whole fruit intake (β = 0.067). Key Genes: ML identified ACTG2, MSX1, and COL7A1 as core drivers. Prognostic Model: A risk score model (ATP6V0A1*0.70 + TP63*0.37 + SLC7A7*0.49 + ARHGAP29*0.33 + CDH1*(-0.50)) distinguished high/low-risk groups (AUC = 0.977). Potentially Available Drugs: Zoledronate, LY-294002, and Everolimus may be potential choices for malnutrition digestive tract tumors.

Conclusion: This study systematically reveals multidimensional mechanisms linking malnutrition to digestive system tumor progression via genetic, molecular, and immune pathways. Key genes (ACTG2, MSX1, COL7A1) and gender-specific interventions offer novel strategies for precision oncology. Future validation in cross-ethnic cohorts and clinical trials is warranted.

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来源期刊
CiteScore
5.80
自引率
3.40%
发文量
172
审稿时长
3 months
期刊介绍: This timely publication reports and reviews current findings on the effects of nutrition on the etiology, therapy, and prevention of cancer. Etiological issues include clinical and experimental research in nutrition, carcinogenesis, epidemiology, biochemistry, and molecular biology. Coverage of therapy focuses on research in clinical nutrition and oncology, dietetics, and bioengineering. Prevention approaches include public health recommendations, preventative medicine, behavior modification, education, functional foods, and agricultural and food production policies.
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