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线粒体与六种癌症类型之间的因果关系:一项孟德尔随机化研究。

The causal relationships between mitochondria and six types of cancer: a Mendelian randomization study.

作者信息

Tang Jincheng, Zhang Jingting, Yang Renyi, Chen Hongyao, Yu Xiaopeng, Peng Wei, Zeng Puhua

机构信息

Hunan Provincial Hospital of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, 410208, China.

Cancer Research Institute of Hunan Academy of Traditional Chinese Medicine, Hunan Academy of Chinese Medicine, Changsha, 410013, China.

出版信息

BMC Cancer. 2025 Apr 28;25(1):794. doi: 10.1186/s12885-025-14201-0.

Abstract

BACKGROUND

Mitochondria play a multifaceted role in tumorigenesis, influencing energy metabolism, redox balance, and apoptosis. However, whether mitochondrial traits causally affect cancer risk remains unclear. This study aimed to evaluate the potential causal effects of 82 mitochondrial-related exposures on six major cancers-hepatic, colorectal, lung, esophageal, thyroid, and breast-using Mendelian randomization (MR).

METHODS

Two-sample MR analysis was performed using the inverse variance weighted (IVW) method, with MR-Egger regression and weighted median as complementary approaches. Sensitivity analyses (Cochran's Q test, MR-Egger intercept, leave-one-out) and the Steiger test were applied to assess heterogeneity, pleiotropy, and causal directionality.

RESULTS

We observed a negative correlation between "39S ribosomal protein L34, mitochondrial", and others, with hepatic cancer, while "[Pyruvate dehydrogenase (acetyl-transferring)] kinase isozyme 2, mitochondrial", and others exhibited a positive correlation with hepatic cancer. "Phenylalanine-tRNA ligase, mitochondrial", and others demonstrated a negative association with colorectal cancer, whereas "Methylmalonyl-CoA epimerase, mitochondrial", and others exhibited a positive correlation with colorectal cancer. "Succinate dehydrogenase assembly factor 2, mitochondrial" exhibited a negative correlation with lung cancer, while "Superoxide dismutase [Mn], mitochondrial levels" showed a positive correlation with lung cancer. "Lon protease homolog, mitochondrial" demonstrated a positive correlation with esophageal cancer. "Iron-sulfur cluster assembly enzyme ISCU, mitochondrial", and others exhibited a negative correlation with thyroid cancer, while "Diablo homolog, mitochondrial", and others showed a positive correlation with thyroid cancer. "ADP-ribose pyrophosphatase, mitochondrial", and others exhibited a negative correlation with breast cancer, while "39S ribosomal protein L34, mitochondrial", and others showed a positive correlation with breast cancer.

CONCLUSIONS

This study provides MR-based evidence that specific mitochondrial-related traits have causal effects on the risk of several common cancers. Notably, certain single-nucleotide polymorphisms (SNPs) acted as instrumental variables across multiple cancer types through shared mitochondrial mechanisms, such as oxidative stress regulation and metabolic reprogramming. These findings highlight mitochondria as cross-cutting contributors to cancer susceptibility and suggest potential avenues for mitochondrial-targeted prevention and therapy. The identification of pleiotropic genetic variants also offers insights for developing shared biomarkers and therapeutic targets across malignancies.

摘要

背景

线粒体在肿瘤发生过程中发挥多方面作用,影响能量代谢、氧化还原平衡和细胞凋亡。然而,线粒体特征是否因果性地影响癌症风险仍不清楚。本研究旨在利用孟德尔随机化(MR)评估82种线粒体相关暴露因素对六种主要癌症——肝癌、结直肠癌、肺癌、食管癌、甲状腺癌和乳腺癌——的潜在因果效应。

方法

采用逆方差加权(IVW)方法进行两样本MR分析,以MR-Egger回归和加权中位数作为补充方法。应用敏感性分析( Cochr an's Q检验、MR-Egger截距、逐一剔除法)和Steiger检验来评估异质性、多效性和因果方向性。

结果

我们观察到“线粒体39S核糖体蛋白L34”等与肝癌呈负相关,而“线粒体[丙酮酸脱氢酶(乙酰转移)]激酶同工酶2”等与肝癌呈正相关。“线粒体苯丙氨酸 - tRNA连接酶”等与结直肠癌呈负相关,而“线粒体甲基丙二酰 - CoA差向异构酶”等与结直肠癌呈正相关。“线粒体琥珀酸脱氢酶组装因子2”与肺癌呈负相关,而“线粒体超氧化物歧化酶[Mn]水平”与肺癌呈正相关。“线粒体Lon蛋白酶同源物”与食管癌呈正相关。“线粒体铁硫簇组装酶ISCU”等与甲状腺癌呈负相关,而“线粒体暗黑同源物”等与甲状腺癌呈正相关。“线粒体ADP - 核糖焦磷酸酶”等与乳腺癌呈负相关,而“线粒体39S核糖体蛋白L34”等与乳腺癌呈正相关。

结论

本研究提供了基于MR的证据,表明特定的线粒体相关特征对几种常见癌症的风险有因果效应。值得注意的是,某些单核苷酸多态性(SNP)通过共享的线粒体机制,如氧化应激调节和代谢重编程,在多种癌症类型中充当工具变量。这些发现突出了线粒体作为癌症易感性的交叉影响因素,并提示了线粒体靶向预防和治疗的潜在途径。多效性基因变异的鉴定也为开发跨恶性肿瘤的共享生物标志物和治疗靶点提供了思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92d/12039071/83b0c7bb99cf/12885_2025_14201_Fig1_HTML.jpg

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