Xing Abao, Tong Henry H Y, Liu Songyan, Zhai Xiaobing, Yu Li, Li Kefeng
Centre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, Macao SAR, China.
Bioinformatics Department, Guangzhou AoCe Medical Technology Co. Ltd., Guangzhou, China.
Front Oncol. 2023 Oct 26;13:1091958. doi: 10.3389/fonc.2023.1091958. eCollection 2023.
While 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.
A 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.
The MR analysis revealed a significant causal association between obesity and gastric cancer (IVW, OR = 1.37, 95% CI:1.12-1.69, = 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.
Obesity 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.
虽然观察性研究已将肥胖确定为胃癌的潜在危险因素,但其因果关系仍不确定。本研究旨在评估肥胖与胃癌之间的因果关系,并确定将肥胖与胃癌联系起来的共同分子特征。
使用体脂百分比的全基因组关联研究(GWAS)数据(暴露因素,n = 331,117)和胃癌数据(结局,n = 202,308)进行两样本孟德尔随机化(MR)分析。对多组学数据进行生物信息学和荟萃分析,以确定介导因果关系的关键分子。血浆/血清蛋白质组的荟萃分析纳入了1662例肥胖患者和3153例胃癌患者。使用七个常见的基因本体数据库鉴定肥胖和胃癌相关基因。转录组数据来自TCGA和GEO数据库。在两家医院的220例肥胖患者和400例胃癌患者的血浆中对生物信息学研究结果进行了临床验证。最后,进行基于结构的虚拟筛选(SBVS),以探索针对已鉴定的介导分子的潜在FDA批准药物。
MR分析显示肥胖与胃癌之间存在显著的因果关联(逆方差加权法,OR = 1.37,95% CI:1.12 - 1.69,P = 0.0028),无多效性或异质性。对多组学数据的生物信息学和荟萃分析揭示了肿瘤坏死因子(TNF)、磷脂酰肌醇-3-激酶-蛋白激酶B(PI3K-AKT)和细胞因子信号传导的共同失调,AKT1、白细胞介素-6(IL-6)和TNF显著上调。临床研究证实两种疾病患者血浆中全身炎症标志物普遍上调。SBVS鉴定出六种新型强效AKT1抑制剂,包括膳食补充剂腺苷,这是一种潜在的低毒性预防药物。
肥胖因果性地增加胃癌风险,可能由持续的AKT1/IL-6/TNF上调介导。作为一种潜在的AKT1抑制剂,腺苷可能减轻从肥胖到胃癌的转变。这些发现可为预防药物研发提供参考,以降低肥胖人群患胃癌的风险。