Evidence map›Paper›PMID 41085868›Full record

ArticleDiscover oncology2025

Causal association between mitochondrial genes and colorectal cancer: a multi-omics Mendelian randomization study.

Zhandong Zhang, Shuaibing Lu, Liangqun Peng, Fusheng Ge, Bin Zhang, Yonglei Zhang, Fei Ma, Yawei Hua, Xiaobing Chen, Wei Yang

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Zhandong Zhang *Department of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China.
Shuaibing Lu *Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Liangqun Peng *Department of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China.
Fusheng GeDepartment of General Surgery, Louhe Central Hospital, Luohe, 462000, China.
Bin ZhangDepartment of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China.
Yonglei ZhangDepartment of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China.
Fei MaDepartment of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China.
Yawei HuaDepartment of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China.
Xiaobing ChenDepartment of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China.
Wei YangDepartment of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China. zlyyyangwei3635@zzu.edu.cn.

Funding

Henan Province Natural Science Foundation NO.252300420124
6 · The paper itself

Abstract

objectiveColorectal cancer (CRC) is the leading cause of cancer-related morbidity and mortality globally. Despite the established link between mitochondrial dysfunction and various cancers, including CRC, the precise role of mitochondrial genes remains unclear. This study aimed to elucidate the influence of mitochondrial-related genes on CRC through a multi-omics approach.

methodsThe MitoCarta3.0 database, methylation quantitative trait loci (mQTL), expression QTL (eQTL), and protein QTL (pQTL) data from multiple sources were utilized. CRC-related genetic data were obtained from the IEU OpenGWAS project and FinnGen database. The MR analysis employed five regression models. Integration of the results from three levels of gene regulation revealed significant associations between mitochondrial-related gene regulation and CRC.

resultsWe identified 21 genes that exhibit multi-omics evidence associated with CRC. Tier 1 gene PNKD showed significant associations with CRC across multiple omics levels. Tier 2 genes, RBFA, COX15, TXN2, and ACSF3, were linked to CRC at the mQTL-eQTL level. Sixteen tier 3 genes were also identified. A total of eight genes, including COX15, had been identified as potential therapeutic and drug targets. A total of eight genes, including COX15, had been identified as potential drug targets. Additionally, the final structures of the corresponding eight proteins and their respective drugs had been successfully determined.

conclusionsThe multi-omics approach identified several mitochondrial-related genes significantly associated with CRC risk, providing new insights into the role of mitochondrial dysfunction in CRC pathogenesis, and potentially providing further investigation and future therapeutic strategies targeting mitochondrial pathways in CRC management.

Indexed as

Colocalization analysisColorectal cancerMendelian randomization (MR)Mitochondrial genesMulti-omics approachesStatistical comparison

Identifiers

PMID41085868
PMCPMC12521712

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.