The causal association between obesity and gastric cancer and shared molecular signatures: a large-scale Mendelian randomization and multi-omics analysis

被引:4
作者
Xing, Abao [1 ,2 ]
Tong, Henry H. Y. [1 ]
Liu, Songyan [3 ]
Zhai, Xiaobing [1 ]
Yu, Li [4 ]
Li, Kefeng [1 ]
机构
[1] Macao Polytech Univ, Fac Appl Sci, Ctr Artificial Intelligence Driven Drug Discovery, Taipa, Macao, Peoples R China
[2] Guangzhou AoCe Med Technol Co Ltd, Bioinformat Dept, Guangzhou, Peoples R China
[3] Liaoning Univ Tradit Chinese Med, Affiliated Hosp 1, Dept Endocrine Rehabil, Shenyang, Peoples R China
[4] China Med Univ, Shengjing Hosp, Dept Oncol, Shenyang, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2023年 / 13卷
关键词
obesity; gastric cancer; causality; shared molecular signatures; multi-omics; BODY-MASS INDEX; ADIPOSE-TISSUE; RISK; TUMORIGENESIS; INFLAMMATION; MECHANISMS; POPULATION; CYTOKINES; PATHWAYS;
D O I
10.3389/fonc.2023.1091958
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
PurposeWhile observational studies have identified obesity as a potential risk factor for gastric cancer, the causality remains uncertain. This study aimed to evaluate the causal relationship between obesity and gastric cancer and identify the shared molecular signatures linking obesity to gastric cancer.MethodsA two-sample Mendelian randomization (MR) analysis was conducted using the GWAS data of body fat percentage (exposure, n = 331,117) and gastric cancer (outcome, n = 202,308). Bioinformatics and meta-analysis of multi-omics data were performed to identify key molecules mediating the causality. The meta-analysis of the plasma/serum proteome included 1,662 obese and 3,153 gastric cancer patients. Obesity and gastric cancer-associated genes were identified using seven common gene ontology databases. The transcriptomic data were obtained from TCGA and GEO databases. The Bioinformatic findings were clinically validated in plasma from 220 obese and 400 gastric cancer patients across two hospitals. Finally, structural-based virtual screening (SBVS) was performed to explore the potential FDA-approved drugs targeting the identified mediating molecules.ResultsThe MR analysis revealed a significant causal association between obesity and gastric cancer (IVW, OR = 1.37, 95% CI:1.12-1.69, P = 0.0028), without pleiotropy or heterogeneity. Bioinformatic and meta-analysis of multi-omics data revealed shared TNF, PI3K-AKT, and cytokine signaling dysregulation, with significant upregulation of AKT1, IL-6, and TNF. The clinical study confirmed widespread upregulation of systemic inflammatory markers in the plasma of both diseases. SBVS identified six novel potent AKT1 inhibitors, including the dietary supplement adenosine, representing a potentially preventive drug with low toxicity.ConclusionObesity causally increases gastric cancer, likely mediated by persistent AKT1/IL-6/TNF upregulation. As a potential AKT1 inhibitor, adenosine may mitigate the obesity-to-gastric cancer transition. These findings could inform preventive drug development to reduce gastric cancer risk in obesity.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Investigating the causal relationship between inflammation and multiple types of hearing loss: a multi-omics approach combining Mendelian randomization and molecular docking
    Zhang, Jingqi
    Guo, Tao
    Chen, Yaxin
    Wang, Xiangjin
    Wu, Lijiao
    Xie, Hui
    FRONTIERS IN NEUROLOGY, 2024, 15
  • [2] Causal relationship between gut microbiota and ageing: A multi-omics Mendelian randomization study
    Zhang, Guolin
    Lu, Yuqing
    Wang, Zhen
    Ma, Ruicong
    Jin, Hongjin
    Zhang, Jingsi
    Liu, Fengyi
    Ding, Yanchun
    ARCHIVES OF GERONTOLOGY AND GERIATRICS, 2025, 131
  • [3] Reply to "The causal association between sarcopenia and colorectal cancer: a Mendelian randomization analysis"
    Kim, Min Cheol
    Kim, Kyeong Ok
    KOREAN JOURNAL OF INTERNAL MEDICINE, 2023, 38 (02) : 269 - 270
  • [4] Risk of gastric cancer in autoimmune gastritis and pernicious anaemia: Insights from Mendelian randomization and multi-omics analysis
    Zhang, Shengan
    Zhang, Ziqi
    Dai, Liang
    Zhou, Wenjun
    Dang, Yanqi
    Huang, Wendong
    Ji, Guang
    CLINICAL AND TRANSLATIONAL DISCOVERY, 2025, 5 (02):
  • [5] Mendelian randomization combined with multi-omics explores the relationship between heart failure and cancer
    Sun, Tian
    Mei, Na
    Su, Yanting
    Shan, Shigang
    Qian, Wenbin
    Li, Mengxi
    Zhang, Zhenwang
    JOURNAL OF CANCER, 2024, 15 (10): : 2928 - 2939
  • [6] Evidence of a Causal Association Between Insulinemia and Endometrial Cancer: A Mendelian Randomization Analysis
    Nead, Kevin T.
    Sharp, Stephen J.
    Thompson, Deborah J.
    Painter, Jodie N.
    Savage, David B.
    Semple, Robert K.
    Barker, Adam
    Perry, John R. B.
    Attia, John
    Dunning, Alison M.
    Easton, Douglas F.
    Holliday, Elizabeth
    Lotta, Luca A.
    O'Mara, Tracy
    McEvoy, Mark
    Pharoah, Paul D. P.
    Scott, Rodney J.
    Spurdle, Amanda B.
    Langenberg, Claudia
    Wareham, Nicholas J.
    Scott, Robert A.
    JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2015, 107 (09):
  • [7] Integrative multi-omics analysis reveals molecular signatures of central obesity in children
    Zhao, Chengzhi
    An, Xizhou
    Xiao, Leyuan
    Chen, Jingyu
    Huang, Daochao
    Chen, Lijing
    Fang, Shenying
    Liang, Xiaohua
    PEDIATRIC RESEARCH, 2025,
  • [8] The relationship between innate/adaptive immunity and gastrointestinal cancer : a multi-omics Mendelian randomization study
    Lv, Chen-Xi
    Zhou, Lin-Po
    Yang, Ye-Bing
    Shi, Jing
    Dong, Fan-He
    Wei, Hao-Ran
    Shan, Yu-Qiang
    BMC GASTROENTEROLOGY, 2024, 24 (01)
  • [9] Causal Relationships Between Gut Microbiota, Inflammatory Cells/Proteins, and Subarachnoid Hemorrhage: A Multi-omics Bidirectional Mendelian Randomization Study and Meta-analysis
    Yan, Congzhi
    Li, Yun
    MOLECULAR NEUROBIOLOGY, 2024, 61 (11) : 8590 - 8599
  • [10] Large-scale causal analysis of gut microbiota and six common complications of diabetes: a mendelian randomization study
    Wang, Jiachen
    Teng, Menghao
    Feng, Ruoyang
    Su, Xiaochen
    Xu, Ke
    Wang, Junxiang
    Wang, Guoqiang
    Zhang, Yulong
    Xu, Peng
    DIABETOLOGY & METABOLIC SYNDROME, 2024, 16 (01)