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Comprehensive computational analysis via Adverse Outcome Pathways and Aggregate Exposure Pathways in exploring synergistic effects from radon and tobacco smoke on lung cancer
Stockholm University, Faculty of Science, Department of Molecular Biosciences, The Wenner-Gren Institute.
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2025 (English)In: Frontiers in Public Health, E-ISSN 2296-2565, Vol. 13, article id 1571290Article in journal (Refereed) Published
Abstract [en]

Lung cancer remains the leading cause of cancer mortality worldwide, with tobacco smoke and radon exposure being the primary risk factors. The interaction between these two factors has been described as sub-multiplicative, but a better understanding is needed of how they jointly contribute to lung carcinogenesis. In this context, a comprehensive analysis of current knowledge regarding the effects of radon and tobacco smoke on lung cancer was conducted using a computational approach. Information on this co-exposure was extracted and clustered from databases, particularly the literature, using the text mining tool AOP-helpFinder and other artificial intelligence (AI) resources. The collected information was then organized into Aggregate Exposure Pathway (AEP) and Adverse Outcome Pathways (AOP) models. AEPs and AOPs represent analytical concepts useful for assessing the potential risks associated with exposure to various stressors. AOPs provide a structured framework to organize knowledge of essential Key Events (KEs) from a Molecular Initiating Event (MIE) to an Adverse Outcome (AO) at an organism or population level, while AEPs model exposures from the initial source of the stressor to the internal exposure site within the target organism, situated upstream of the AOP. Combining these frameworks offered an integrated method for knowledge consolidation of radon and tobacco smoke, detailing the association from the environment to a mechanistic level, and highlighting specific differences between the two stressors in DNA damage, mutational profiles, and histological types. This approach also identified gaps in understanding joint exposure, particularly the lack of mechanistic studies on the precise role of certain KEs such as inflammation, as well as the need for studies that more closely replicate real-world exposure conditions. In conclusion, this study demonstrates the potential of AI and machine learning tools in developing alternative toxicological models. It highlights the complex interaction between radon and tobacco smoke and encourages collaboration among scientific communities to conduct future studies aiming to fully understand the mechanisms associated with this co-exposure.

Place, publisher, year, edition, pages
2025. Vol. 13, article id 1571290
Keywords [en]
Aggregate Exposure Pathway (AEP), Adverse Outcome Pathways (AOP), radon, tobacco smoke, lung cancer, computational toxicology, text mining, AOP-helpFinder
National Category
Occupational Health and Environmental Health
Identifiers
URN: urn:nbn:se:su:diva-246025DOI: 10.3389/fpubh.2025.1571290ISI: 001549665000001PubMedID: 40823246Scopus ID: 2-s2.0-105013228923OAI: oai:DiVA.org:su-246025DiVA, id: diva2:1993129
Available from: 2025-08-29 Created: 2025-08-29 Last updated: 2025-09-22Bibliographically approved
In thesis
1. Cancer-related changes in cells exposed to radon and cigarette smoke
Open this publication in new window or tab >>Cancer-related changes in cells exposed to radon and cigarette smoke
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Radon is the second leading cause of lung cancer after tobacco smoke. This gas is produced from the decay of naturally occurring uranium in soil and rocks. Inhaled radon and its progenies deposit alpha particle radiation on the bronchial epithelium. These alpha particles deliver high localized doses, inducing complex, clustered DNA damage that is challenging to repair. The World Health Organization recommends a national reference level for residential radon at 100 Bq/m³, wherever possible. However, co-exposure to other stressors, particularly tobacco smoke, complicates health risk estimates. Tobacco smoke contains over 60 carcinogens. Nicotine itself is not considered carcinogenic but has been shown to support a tumor-permissive environment. Epidemiological studies show that smoking amplifies radon-induced lung cancer risk, but the molecular mechanisms remain poorly understood. To address this, advanced in vitro approaches, particularly air-liquid interface (ALI) systems and whole-smoke exposure models, have been introduced for in vitro respiratory and toxicology research. These systems offer improved simulation of real-life conditions. Yet, these models require careful control of exposure parameters. This thesis presents studies conducted to improve the understanding of radon and cigarette smoke interactions, as well as to develop an in vitro system for studying combined pollutant exposure.

In Paper I, we demonstrate that nicotine modulates DNA repair following alpha particle exposure, promoting cell survival while increasing chromosomal instability and genomic alterations in human bronchial epithelial cells. In Paper II we used AI-based text mining (AOP-helpFinder) to systematically extract and organize existing literature on radon and tobacco smoke co-exposure, structuring the findings into Adverse Outcome Pathways (AOPs) and Aggregate Exposure Pathways (AEPs). The analysis showed that radon and tobacco interact both environmentally and biologically, yet important gaps remain in mechanistic understanding, particularly regarding epigenetics, and realistic exposure models. In Paper III we developed and validated a novel ALI exposure system that allows controlled, simultaneous exposure of bronchial cells to radon and cigarette smoke under physiologically relevant conditions. Using this system, we showed that while single exposures moderately reduced cell viability, combined exposure caused a significantly stronger reduction, demonstrating both the system’s reliability and the heightened toxicity of co-exposure. In Paper IV, we investigated how radon and cigarette smoke interact at the molecular and cellular levels using RNA-seq and functional assays. Combined exposure induced unique transcriptional and cellular changes when comparing with different single exposure groups, including alterations in inflammatory, oxidative stress, DNA damage response, and oncogenic pathways, as well as in genes related to cytoskeleton and cell adhesion, suggesting an environment that may promote early carcinogenic transformation.

Place, publisher, year, edition, pages
Stockholm: Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, 2025. p. 65
Keywords
Radon, Cigarette smoke, Molecular interaction, Combined exposure, Air Liquid Interface system, In vitro exposure system, Lung Cancer
National Category
Occupational Health and Environmental Health Cell and Molecular Biology Basic Cancer Research Molecular Biology Environmental Sciences
Research subject
Molecular Bioscience
Identifiers
urn:nbn:se:su:diva-246399 (URN)978-91-8107-376-8 (ISBN)978-91-8107-377-5 (ISBN)
Public defence
2025-10-20, Room P216, NPQ-huset, Svante Arrhenius väg 20A, Stockholm, 09:30 (English)
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Supervisors
Available from: 2025-09-25 Created: 2025-09-03 Last updated: 2025-09-18Bibliographically approved

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Boroumand, NadiaElihn, KarineLundholm, Lovisa

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