Novel insights into the mechanism of formaldehyde-induced lung cancer: a network toxicology and molecular docking approach

We explored the complex effects of formaldehyde (FA) on lung cancer through network toxicology and molecular docking techniques, focusing on understanding the molecular mechanisms by which FA affects lung cancer from a biological network perspective. With the information of formaldehyde and lung cancer targets provided by databases (ChEMBL, STITCH, GeneCards, OMIM), we identified key potential targets that are closely related to formaldehyde and lung cancer.Protein-protein interaction(PPI) networks for core targets were constructed using the STRING database, and ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed using the David database. Subsequently, molecular docking simulations of key target proteins with FA were performed using AutoDock software to visualize binding interactions. Finally, utilizing the PanglaoDB database, we conducted data mining of single-cell RNA sequencing data to find cell types where a certain set of genes are expressed. The results showed that the key genes for formaldehyde effects on lung cancer were mainly concentrated in metabolism-related signaling cascades, including pyruvate metabolism, fatty acid metabolism, and Pantothenate and CoA biosynthesis pathways, and the core genes ADH5, ADH4, ADH1B, ADH6, and ADH7 were screened by PPI with GO and KEGG analysis. Subsequently, molecular docking simulations of the screened key genes with FA confirmed the robust binding interactions between formaldehyde and the core targets in the key genes (binding energies were all less than -1kcal/mol). Single-cell RNA sequencing distribution analysis showed that ADH5 and ADH1B were significantly enriched in Fibroblasts cell clusters, and ADH7 was significantly enriched in Basal cells cell clusters. Our study provides key targets and pathways for understanding the complex molecular mechanisms by which FA affects lung cancer, reveals complex relationships that are difficult to find by traditional toxicological methods, and provides insights into strategies for preventing lung cancer caused by FA exposure.

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Journal
Toxicology Mechanisms and Methods
Published
2026-02-05
DOI
https://doi.org/10.1080/15376516.2026.2621747
Primary Topic
Indoor Air Quality and Microbial Exposure
Type
article
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article

Novel insights into the mechanism of formaldehyde-induced lung cancer: a network toxicology and molecular docking approach

Bencheng Lin, Leili Zhang, Kang Li, Yanan Mi et al.
Toxicology Mechanisms and Methods
Indoor Air Quality and Microbial Exposure
article

Novel insights into the mechanism of formaldehyde-induced lung cancer: a network toxicology and molecular docking approach

Bencheng Lin, Leili Zhang, Kang Li, Yanan Mi, Yizhe Wei, Gaofang Cao, Jiang Chen, Jianping Ma, Xuan Liu, Bingyan Wang, Yue Shi, Lei Tian, Yiming Zhao
article en

Abstract

We explored the complex effects of formaldehyde (FA) on lung cancer through network toxicology and molecular docking techniques, focusing on understanding the molecular mechanisms by which FA affects lung cancer from a biological network perspective. With the information of formaldehyde and lung cancer targets provided by databases (ChEMBL, STITCH, GeneCards, OMIM), we identified key potential targets that are closely related to formaldehyde and lung cancer.Protein-protein interaction(PPI) networks for core targets were constructed using the STRING database, and ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed using the David database. Subsequently, molecular docking simulations of key target proteins with FA were performed using AutoDock software to visualize binding interactions. Finally, utilizing the PanglaoDB database, we conducted data mining of single-cell RNA sequencing data to find cell types where a certain set of genes are expressed. The results showed that the key genes for formaldehyde effects on lung cancer were mainly concentrated in metabolism-related signaling cascades, including pyruvate metabolism, fatty acid metabolism, and Pantothenate and CoA biosynthesis pathways, and the core genes ADH5, ADH4, ADH1B, ADH6, and ADH7 were screened by PPI with GO and KEGG analysis. Subsequently, molecular docking simulations of the screened key genes with FA confirmed the robust binding interactions between formaldehyde and the core targets in the key genes (binding energies were all less than -1kcal/mol). Single-cell RNA sequencing distribution analysis showed that ADH5 and ADH1B were significantly enriched in Fibroblasts cell clusters, and ADH7 was significantly enriched in Basal cells cell clusters. Our study provides key targets and pathways for understanding the complex molecular mechanisms by which FA affects lung cancer, reveals complex relationships that are difficult to find by traditional toxicological methods, and provides insights into strategies for preventing lung cancer caused by FA exposure.

Toxicology Mechanisms and Methods
Binzhou Medical University (CN), Shandong University of Aeronautics (CN), China Foreign Affairs University (CN)
Good health and well-being
Openalex Percentile: Top 67%
Indoor Air Quality and Microbial Exposure
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