Evidence map›Paper›PMID 40488442›Full record

ArticleSleep2025

Night shift work and lung cancer risk: a prospective cohort study with mediator analysis from the UK Biobank.

Xiangyuan Zheng, Yi Feng, Juan He, Xusen Zou, Jie Liang, Xinyi Wu, Zixun Wang, Xin Bi, Bo Cheng, Kexin Chen and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Shift work, genetic risk, and incident gout: a prospective cohort study in the UK Biobank.Archives of public health = Archives belges de sante publique · 2026
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Xiangyuan ZhengDepartment of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yi FengDepartment of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Juan HeDepartment of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xusen ZouDepartment of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Jie LiangDepartment of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xinyi WuDepartment of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Zixun WangDepartment of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xin BiDepartment of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Bo ChengDepartment of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Kexin ChenDepartment of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Chengfu XianDepartment of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xianzhe FanDepartment of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xiaohong XieDepartment of Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Jianxing HeDepartment of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Wenhua LiangDepartment of Thoracic Surgery and Oncology, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Funding

China National Science Foundation 81871893China National Science Foundation 82022048Guangzhou Scientific Research Project 201804020030R&D Program of Guangzhou National Laboratory SRPG22-017
6 · The paper itself

Abstract

STUDY

objectivesThis study investigated the association between night shift work and lung cancer risk using data from the UK Biobank cohort of 278 650 participants, while exploring potential biological mediators and gene-environment interactions.

methodsCox proportional hazards models assessed relationships between current night shift status, lifetime duration, and frequency of night shifts with lung cancer incidence. Mediation analyses examined physical measurements, lifestyle habits, blood immune cell parameters, and plasma proteins as potential mediating pathways. Polygenic risk scores evaluated genetic predisposition interactions.

resultsDuring a median follow-up of 10.64 years, 1524 incident lung cancer cases were identified. A significant dose-response relationship was observed between increasing categories of current night shift work and lung cancer risk (Shift but never/rarely night shifts HR 1.18, 95% CI = 1.00 to 1.39, p = .047; Some night shifts HR 1.28, 95% CI = 1.06 to 1.55, p = .010; Some night shifts HR 1.19, 95% CI = 0.90 to 1.57, p = .220; p for trend = .004). Smoking plays a significant mediating role in this association. Mediation analysis also identified prostasin (PRSS8), alkaline phosphatase (ALPP), and carcinoembryonic antigen-related cell adhesion molecule 5 (CEACAM5) as key mediators, collectively explaining over 25 per cent of the total effect.

conclusionsThis study suggests that night shift work, particularly when combined with smoking, is associated with an increased risk of lung cancer. The identification of potential mediators such as prostasin, ALPP and CEACAM5 provides insights into the underlying biological mechanisms. Future research should validate these findings and explore targeted prevention strategies for high-risk populations.

Indexed as

Lung NeoplasmsShift Work ScheduleAdultAgedBiological Specimen BanksFemaleGene-Environment InteractionHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsUK BiobankUnited Kingdomlung cancernight shift workproteomic mediatorsUK Biobank

Identifiers

PMID40488442
PMCPMC12351265

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.