Evidence map›Paper›PMID 39578555›Full record

ReviewEMBO molecular medicine2025

The role of PM2.5 exposure in lung cancer: mechanisms, genetic factors, and clinical implications.

Chi-Yuan Chen, Kuo-Yen Huang, Chin-Chuan Chen, Ya-Hsuan Chang, Hsin-Jung Li, Tong-Hong Wang, Pan-Chyr Yang

Abstract readReview
In one paragraph

Review in EMBO molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
–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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Occupational hazard exposures among archivists.Frontiers in public health · 2025
    Pooled it
  3. Review
  4. Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Breathing carcinogens: PMJournal of thoracic disease · 2026
    Review
  6. Article
  7. A radiotherapy-related fibrosis gene signature-based risk model for predicting prognosis and immunological features in lung adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Lung Cancer Screening and Prevention: Beyond Conventional Strategies in a Rapidly Changing Global Milieu.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2026
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. The potential role of dietary patterns in modifying the association between ambient PMEnvironmental health : a global access science source · 2026
    Article
  20. 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

7 authors.

Chi-Yuan Chen *Graduate Institute of Health Industry Technology and Research Center for Food and Cosmetic Safety, Chang Gung University of Science and Technology, Taoyuan, Taiwan.
Kuo-Yen Huang *Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-5542-3567
Chin-Chuan ChenBioBank, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.
Ya-Hsuan ChangInstitute of Molecular and Genomic Medicine, National Health Research Institutes, Miaoli, Taiwan.
Hsin-Jung LiNational Taiwan University YongLin Institute of Health, National Taiwan University, Taipei, Taiwan.
Tong-Hong WangGraduate Institute of Health Industry Technology and Research Center for Food and Cosmetic Safety, Chang Gung University of Science and Technology, Taoyuan, Taiwan. cellww@cgmh.org.tw.ORCID 0000-0001-9248-9031
Pan-Chyr YangNational Taiwan University YongLin Institute of Health, National Taiwan University, Taipei, Taiwan. pcyang@ntu.edu.tw.ORCID 0000-0001-6330-6048

Funding

Chang Gung Memorial Hospital, Linkou (Linkou Chang Gung Memorial Hospital) CMRPF1N0041Chang Gung Memorial Hospital, Linkou (Linkou Chang Gung Memorial Hospital) CMRPF1N0042National Science and Technology Council (NSTC) NSTC 112-2320-B-255-009-MY3National Science and Technology Council (NSTC) NSTC 113-2314-B-002-003-
6 · The paper itself

Abstract

Lung cancer is one of the most critical global health threats, as the second most common cancer and leading cause of cancer deaths globally. While smoking is the primary risk factor, an increasing number of cases occur in nonsmokers, with lung cancer in nonsmokers (LCNS) now recognized as the fifth leading cause of cancer mortality worldwide. Recent evidence identifies air pollution, particularly fine particulate matter (PM2.5), as a significant risk factor in LCNS. PM2.5 can increase oxidative stress and inflammation, induce genetic alterations and activation of oncogenes (including the epidermal growth factor receptor, EGFR), and contribute to lung cancer progression. This review summarizes the current understanding of how exposure to PM2.5 induces lung carcinogenesis and accelerates lung cancer development. It underscores the importance of prevention and early detection while calling for targeted therapies to combat the detrimental effects of air pollution. An integrated approach that combines research, public health policy, and clinical practice is essential to reduce the lung cancer burden and improve outcomes for those affected by PM2.5 exposurrre.

Indexed as

Air PollutantsEnvironmental ExposureLung NeoplasmsParticulate MatterAir PollutionAnimalsHumansOxidative StressRisk FactorsAir PollutantsParticulate MatterDNA DamageEGFRInflammationLung CancerPM2.5

Identifiers

PMID39578555
PMCPMC11729863

What OpenQuestion holds

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Registered trials

None linked

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.