Evidence mapPaperPMID 41009039Full record

ArticleAntioxidants (Basel, Switzerland)2025

Sex- and Ethnic-Specific Associations of Serum Lipids with Risk of 12 Cancers: Findings from 506,381 Adults in Two Large Cohorts.

Minh Nguyen Thien, Ji Woo Baek, Yeun Soo Yang, Sun Ha Jee

Abstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Minh Nguyen ThienDepartment of Epidemiology, Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City 17000, Vietnam.ORCID 0009-0003-1090-6228
Ji Woo BaekDepartment of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul 03772, Republic of Korea.ORCID 0000-0002-2911-4920
Yeun Soo YangDepartment of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul 03772, Republic of Korea.ORCID 0000-0002-2729-3136
Sun Ha JeeDepartment of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul 03772, Republic of Korea.ORCID 0000-0001-9519-3068

Funding

Korea International Cooperation Agency 2021-00020-4
6 · The paper itself

Abstract

The contribution of serum lipids to carcinogenesis, including their effects on inflammation and oxidative stress, remains debated due to inconsistent evidence across populations. This study aimed to elucidate sex- and ethnic-specific associations between serum lipid indices and the risk of 12 common cancers in two large, distinct populations. We conducted a pooled analysis of 506,381 participants from the UK Biobank (UKB) and the Korean Cancer Prevention Study-II (KCPS-II) cohort, with median follow-ups of 12.0 and 13.0 years, respectively. Multivariable-adjusted Cox hazards models were used to estimate hazard ratios (HRs) for the association between baseline lipids and cancer incidence. In the UKB, a one-standard deviation (1-SD) increase in HDL-C was associated with a decreased overall cancer risk (HR 0.982, 95% CI: 0.969-0.995); meanwhile, a 1-SD increase in LDL-C was associated with an increased risk (HR 1.021, 1.009-1.034); higher HDL-C was linked to an increased risk of cervical cancer (HR 1.167, 1.019-1.337) and prostate cancer (HR 1.025, 1.001-1.049). These associations were not significant in the KCPS-II. The association between serum lipids and cancer risk is substantially modified by sex and ethnicity, suggesting that universal lipid-based prevention strategies may be inappropriate and underscoring the need for population-specific research.

Indexed as

cancer riskcohort studiesethnicityneoplasmsserum lipids

Identifiers

PMID41009039
PMCPMC12466349

What Socratic holds

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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 Socratic graph.