Evidence map›Paper›PMID 41548183›Full record

ArticleDiscover oncology2026

Investigating the effects of air pollution on papillary thyroid cancer based on network toxicology and molecular docking.

Zilu Chen, Yan Yang, Yaping Shen, Foxing Tan, Kun Mei, Yan Huang

Abstract read
In one paragraph

Article in Discover oncology, 2026. 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

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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

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3 · Its place in the literature

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4 · The record

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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

6 authors.

Zilu Chen *Nanjing University of Chinese Medicine, 157 Daming Road, Nanjing, China.
Yan Yang *Nanjing University of Chinese Medicine, 157 Daming Road, Nanjing, China.
Yaping ShenNanjing University of Chinese Medicine, 157 Daming Road, Nanjing, China.
Foxing TanNanjing University of Chinese Medicine, 157 Daming Road, Nanjing, China.
Kun MeiNanjing University of Chinese Medicine, 157 Daming Road, Nanjing, China. meik033830@163.com.
Yan HuangDepartment of Ultrasound, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, 157 Daming Road, Nanjing, China. jacob6666@163.com.

Funding

2024 Research project of Provincial Chinese Medicine Society PDJH2024022The 2024 Nanjing Health Science and technology development special project ZKX24043
6 · The paper itself

Abstract

backgroundRecent studies have highlighted the association between various diseases and air pollution. This study aims to investigate the impact of air pollutants on the pathogenesis of papillary thyroid carcinoma (PTC) and the underlying molecular mechanisms, as well as to identify key genes involved in this process.

methodsDatasets related to air pollutants and PTC were sourced from multiple databases. Differentially expressed genes in PTC were identified using weighted gene co-expression network analysis (WGCNA). Protein–protein interaction (PPI) analysis and visualization of intersecting genes were performed. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to explore potential mechanisms. Finally, molecular docking analysis was performed to examine the interactions between key genes and air pollutants.

resultsEleven common air pollutants (SO2, toluene, benzene, CO, NO, NO2, O3, di-n-octyl acetate, di-n-octyl phthalate, Hg, and Pb) were selected. Three cross-target genes associated with PTC were identified: CYP3A4, DRD2, and CYP2C9. GO/KEGG enrichment analysis suggested that air pollution may induce PTC through chemical carcinogenesis and drug metabolism pathways. Further analysis using STRING and Cytoscape software identified 23 core targets. Additionally, molecular docking experiments confirmed a strong binding affinity and stable complex formation between CYP2C9 and dioctyl phthalate.

conclusionThis study, integrating network toxicology and molecular docking, identified three shared targets (CYP3A4, DRD2, and CYP2C9) and several enriched pathways linking common air pollutants to the molecular mechanisms of PTC. These findings provide valuable hypotheses and highlight candidate genes and pathways for future mechanistic and epidemiological studies on air pollution-related thyroid carcinogenesis, though causal relationships have not been established.

Indexed as

Air pollutantMolecular dockingNetwork toxicologyPapillary thyroid cancerTarget genes

Identifiers

PMID41548183
PMCPMC12894604

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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.