The length of night shift work is closely associated with cancer risk: A pan-cancer study of Mendelian randomization study

Night shift work (NSW) has been associated with cancer risk in animal studies, but epidemiological evidence remains insufficient and contradictory. This study sought to investigate the causal association between NSW and 13 common cancers using a two-sample Mendelian randomization (MR) study. Genetic variants associated with NSW were extracted from the UK Biobank and selected as instrumental variables (IVs). Genome-wide association study (GWAS) data for 13 cancers were obtained from relevant consortia and biobanks. Causality was estimated using inverse-variance weighted (IVW), MR-Egger, and weighted median (WM). Sensitivity analyses, including MR-Egger intercept tests, MR-PRESSO, leave-one-out analyses, and funnel plots, were conducted to detect pleiotropy and heterogeneity. A suggestive causal association was found between NSW duration and risks of cervical (IVW: <i>p</i> = 0.028) and gastric cancer (IVW: <i>p</i> = 0.011). No significant associations were observed for other cancers (<i>p</i> > 0.05). These findings suggest the need to reduce NSW duration and limit nocturnal light exposure to maintain circadian rhythms and mitigate cancer risks.

Authors

Institutions

Publication Details

Journal
Chronobiology International
Published
2025-03-04
DOI
https://doi.org/10.1080/07420528.2025.2479098
Citations
1
Primary Topic
Circadian rhythm and melatonin
Type
article
Field-Weighted Citation Impact
0.91
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The length of night shift work is closely associated with cancer risk: A pan-cancer study of Mendelian randomization study

Y. Li, Y. Li, Ying Zou, Yongguang Cai et al.
1 citations
Chronobiology International
Circadian rhythm and melatonin
0.91
article

The length of night shift work is closely associated with cancer risk: A pan-cancer study of Mendelian randomization study

Y. Li, Y. Li, Ying Zou, Yongguang Cai, Dili Song
article en
1 citations

Abstract

Night shift work (NSW) has been associated with cancer risk in animal studies, but epidemiological evidence remains insufficient and contradictory. This study sought to investigate the causal association between NSW and 13 common cancers using a two-sample Mendelian randomization (MR) study. Genetic variants associated with NSW were extracted from the UK Biobank and selected as instrumental variables (IVs). Genome-wide association study (GWAS) data for 13 cancers were obtained from relevant consortia and biobanks. Causality was estimated using inverse-variance weighted (IVW), MR-Egger, and weighted median (WM). Sensitivity analyses, including MR-Egger intercept tests, MR-PRESSO, leave-one-out analyses, and funnel plots, were conducted to detect pleiotropy and heterogeneity. A suggestive causal association was found between NSW duration and risks of cervical (IVW: <i>p</i> = 0.028) and gastric cancer (IVW: <i>p</i> = 0.011). No significant associations were observed for other cancers (<i>p</i> > 0.05). These findings suggest the need to reduce NSW duration and limit nocturnal light exposure to maintain circadian rhythms and mitigate cancer risks.

Chronobiology InternationalVol. 42(3)
Guangzhou Medical University (CN)
Good health and well-being
Openalex Percentile: Top 30%
Circadian rhythm and melatonin
0.91
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The length of night shift work is closely associated with cancer risk: A pan-cancer study of Mendelian randomization study — Y. Li, Y. Li, et al. · Chronobiology International (2025) | TGRS Research Map | TGRS