Evidence map›Paper›PMID 40906027›Full record

ArticleEuropean journal of epidemiology2025

Plasma metabolites, metabolic risk score and colorectal cancer risk: a prospective cohort study.

Ying Deng, Miaomiao Yang, Panxin Peng, Ying Lin, Jiaqi Lin, Jingyao Huang, Kejia Wu, Xingxing Hu, Zibo Ni, Dongsheng Hu and 10 more

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of epidemiology, 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

20 authors.

Ying DengDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China.
Miaomiao YangDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China.
Panxin PengNational Cancer Centre/National Clinical Research Centre for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, People's Republic of China.
Ying LinDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fujian, People's Republic of China.
Jiaqi LinDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China.
Jingyao HuangDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fujian, People's Republic of China.
Kejia WuDepartment of Gastroenterology and Endoscopy Centre, The General Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
Xingxing HuDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China.
Zibo NiDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China.
Dongsheng HuDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China.
Ming ZhangDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China.
Baochang HeDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fujian, People's Republic of China.
Yinggang ChenNational Cancer Centre/National Clinical Research Centre for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, People's Republic of China.
Lin TianDepartment of Gastroenterology and Endoscopy Centre, The General Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
Chunsheng ChengDepartment of Gastroenterology and Endoscopy Centre, The 6th Affiliated Hospital of Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China.
Qingtian LuoDepartment of Gastroenterology and Endoscopy Centre, The 6th Affiliated Hospital of Shenzhen University School of Medicine, Shenzhen, Guangdong, People's Republic of China.
Pei QinDepartment of Gastroenterology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, People's Republic of China.
Xiuyun ChenDepartment of Gastroenterology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, People's Republic of China.
Jian YangDepartment of Gastroenterology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, People's Republic of China.
Fulan HuDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China. hufu1525@163.com.ORCID http://orcid.org/0000-0002-2923-5335

Funding

The Medicine Plus Program of Shenzhen University 2024YG014the Science and Technology Development Foundation of Shenzhen JCYJ20190808111817192the Science and Technology Development Foundation of Shenzhen JCYJ20210324093807020The Scientific Research Initiation foundation for young teachers of Shenzhen University 2019123,QNJS0160
6 · The paper itself

Abstract

The associations of colorectal cancer (CRC) risk with metabolites, lifestyle factors and their joint effects have not been fully elucidated. Therefore, we conducted a prospective cohort study to estimate the associations of CRC risk with metabolites, metabolic risk score (MRS) and its joint associations with lifestyle factors. This study included 82,514 participants with plasma metabolites data in the UK Biobank. LASSO-COX and Random Forest was used to select metabolites. Cox regression was utilized to construct MRS and estimate the associations of CRC risk with metabolites, MRS and its joint associations with lifestyle factors. Single-cell RNA sequencing data were analyzed to identify metabolism-related genes and metabolic pathways during CRC progression. During a median follow-up of 13.28 years, 1151 incident CRC cases were identified. MRS, constructed using 6 metabolites, was significantly associated with increased CRC risk (HR = 1.39, 95% CI 1.22-1.56 for high vs. low MRS), with the strongest association for proximal colon cancer (HR = 1.51, 95% CI 1.24-1.84), followed by distal colon cancer and rectal cancer (HR = 1.35, 95% CI 1.05-1.72; HR = 1.37, 95% CI 1.11-1.69). Joint associations were identified between MRS and lifestyle factors with CRC risk. Individuals with healthy sleep, never smoking, healthy diet, and healthy lifestyle but high MRS also exhibited elevated CRC risk. Linoleic acid, histidine and tyrosine metabolism pathways played important roles during normal intestinal mucosa to CRC progression. Pre-diagnostic metabolites and MRS were significantly associated with increased CRC risk, especially proximal colon cancer. Individuals should maintain normal metabolite levels and healthy lifestyles for CRC prevention.

Indexed as

Colorectal NeoplasmsAgedFemaleHumansLife StyleMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk AssessmentRisk FactorsUnited KingdomColorectal cancerJoint effectsMetabolic risk scoreMetabolitesSingle-cell sequencing

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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.