Evidence map›Paper›PMID 41181902›Full record

ArticleJournal of the National Cancer Institute2026

Time-dependent relationship between urinary biomarkers of nucleic acid oxidation and colorectal cancer risk.

Yingya Zhao, Marina S Nogueira, Ginger L Milne, Yu-Tang Gao, Qiuyin Cai, Qing Lan, Haoyang Yi, Nathaniel Rothman, Xiao-Ou Shu, Wei Zheng and 2 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2026. 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

5 · Who and what money

Authors and funding

12 authors.

Yingya ZhaoDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Marina S NogueiraDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0001-8092-928X
Ginger L MilneDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0003-3890-151X
Yu-Tang GaoShanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Qiuyin CaiDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0002-9384-5648
Qing LanDivision of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, United States.
Haoyang YiDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0009-0002-8847-8350
Nathaniel RothmanDivision of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, United States.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0002-0711-8314
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0003-1226-070X
Qingxia ChenDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0003-0507-1847
Gong YangDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0002-7006-5825

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
Southern Community Cohort StudyU01CA202979 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLOT, WILLIAM J., SHRUBSOLE, MARTHA J. · 2016 to 2025
$22.0M
Shanghai Womens Health StudyUM1CA182910 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ZHENG, WEI · 2014 to 2018
$5.9M
Shanghai Men's Health StudyUM1CA173640 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SHU, XIAO-OU · 2013 to 2017
$4.9M
Time-dependent and bidirectional effect of oxidative stress - a missing piece of the free radical theory of cancer and its potential implicationsR01CA237895 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CHEN, QINGXIA, YANG, GONG · 2020 to 2025
$3.4M
Inflammatory Biomarkers and Colorectal Cancer RiskR01CA122364 · NCI · VANDERBILT UNIVERSITY · PI YANG, GONG · 2007 to 2010
$1.2M
NCI NIH HHS P30 CA068485NCI NIH HHS R01 CA122364NCI NIH HHS R01 CA237895NCI NIH HHS U01 CA202979NCI NIH HHS UM1 CA173640NCI NIH HHS UM1 CA182910NIH HHS R01CA122364NIH HHS R01CA237895NIH HHS U01CA202979NIH HHS UM1CA173640NIH HHS UM1CA182910Vanderbilt-Ingram Cancer Center P30CA068485
6 · The paper itself

Abstract

backgroundExperimental models indicate that oxidative stress may shift from promoting to suppressing tumor development as cancer progresses.

methodsWe conducted a nested case-control study within 2 Shanghai cohorts for primary analysis and 1 US cohort for replication. Over a median follow-up of 15.1 years in the Shanghai cohorts, 1938 incident colorectal cancer (CRC) cases were identified and matched to 1 control each. In the US cohort, 251 incident CRC cases were matched to 2 controls each. Systemic oxidative stress was assessed using urinary markers of DNA oxidation (8-oxo-7,8-dihydro-2'-deoxyguanosine [8-oxo-dG]) and RNA oxidation (7,8-dihydro-8-oxo-guanosine [8-oxo-Guo]) via ultra-performance liquid chromatography tandem mass spectrometry. Multivariable-adjusted odds ratios for CRC risk were calculated.

resultsAfter adjusting for selected covariates, an inversion association between oxidative stress markers and CRC risk was observed in the Shanghai cohorts and independently replicated in the US cohort. This inverse association was time-dependent, manifesting only for CRC cases diagnosed within 5 years following enrollment. Odds ratios for CRC at the 10th and 90th percentiles of 8-oxo-dG levels, relative to the median, were 1.87 (95% confidence interval [CI] = 1.39 to 2.53) and 0.48 (95% CI = 0.37 to 0.63), respectively, demonstrating a threefold difference in risk, with a P value for overall association less than .001. A similar pattern was observed for 8-oxo-Guo. No statistically significant associations were found for CRC diagnosed beyond 5 years of enrollment.

conclusionThis novel finding of a time-dependent inverse relationship between systemic oxidative stress and CRC risk, if further confirmed, may prompt a reevaluation of redox-based chemoprevention strategies.

Indexed as

Biomarkers, TumorColorectal NeoplasmsDeoxyguanosineGuanosineOxidative StressRNA8-Hydroxy-2'-DeoxyguanosineAdultAgedCase-Control StudiesChinaFemaleFollow-Up StudiesHumansIncidenceMale8-Hydroxy-2'-DeoxyguanosineBiomarkers, TumorDeoxyguanosineGuanosineRNA

Identifiers

PMID41181902
PMCPMC13396258

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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.