Upper gastrointestinal (UGI) tumors, notably gastric cancer (GC) and esophageal cancer (EC), are significant global health concerns due to their high morbidity and mortality rates. However, only a limited number of metabolites have been identified as biomarkers for these cancers. To explore the association between metabolites and UGI tumors, the present study conducted a comprehensive twoâsample Mendelian randomization (MR) analysis using publicly available genetic data. In the present study, the causal relationships were examined between 1,400 metabolites and UGI cancer using methods such as inverse variance weighting and weighted medians, along with sensitivity analyses for heterogeneity and pleiotropy. Functional experiments were conducted to validate the MR results. The analysis identified 57 metabolites associated with EC and 58 with GC. Key metabolites included fructosyllysine [EC: Odds ratio (OR)=1.450, 95% confidence interval (CI)=1.087â1.934, P=0.011; GC: OR=1.728, 95% CI=1.202â2.483, P=0.003], 2'âdeoxyuridine to cytidine ratio (EC: OR=1.464, 95% CI=1.111â1.929, P=0.007; GC: OR=1.464, 95% CI=1.094â1.957, P=0.010) and carnitine to protonylcarnitine (C3) ratio (EC: OR=0.655, 95% CI=0.499â0.861, P=0.002; GC: OR=0.664, 95% CI=0.486â0.906, P=0.010). Notably, fructosyllysine levels and the 2'âdeoxyuridine to cytidine ratio were identified as risk factors for both EC and GC, while the C3 ratio served as a protective factor. Functional experiments demonstrated that fructosyllysine and the 2'âdeoxyuridine to cytidine ratio promoted the proliferation of EC and GC cells, whereas carnitine inhibited their proliferation. In conclusion, the present findings provide insights into the causal factors and biomarkers associated with UGI tumors, which may be instrumental in guiding targeted dietary and pharmacological interventions, thereby contributing to the prevention and treatment of UGI cancer.
Causal association between metabolites and upper gastrointestinal tumors: A Mendelian randomization study.
代谢物与上消化道肿瘤的因果关系:孟德尔随机化研究
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作者:Nov Pengkhun, Zheng Chongyang, Wang Duanyu, Sou Syphanna, Touch Socheat, Kouy Samnang, Ni Peizan, Kou Qianzi, Li Ying, Prasai Arzoo, Fu Wen, Du Kunpeng, Li Jiqiang
| 期刊: | Molecular Medicine Reports | 影响因子: | 3.500 |
| 时间: | 2024 | 起止号: | 2024 Dec |
| doi: | 10.3892/mmr.2024.13336 | 研究方向: | 代谢、肿瘤 |
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