Combined and Mixture Exposure Toxicology of Cancer and Chronic Diseases
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Oncology".
Deadline for manuscript submissions: 20 June 2026 | Viewed by 272
Special Issue Editors
Interests: gene environment interaction; environmental toxicology; environmental public health; global oncology; global health
Special Issue Information
Dear Colleagues,
This Special Issue invites original research and comprehensive reviews that advance understanding of how combined and mixed environmental exposures contribute to the initiation and progression of cancer and chronic diseases (e.g., cardiovascular disease, diabetes, neurodegenerative disorders, metabolic syndromes).
Human exposure rarely occurs in isolation; instead, it involves complex mixtures of dietary, lifestyle, microplastics, and hazardous chemicals, to name a few. Yet, most toxicological studies and risk assessments rely on single-agent models, leaving critical gaps in capturing the real-world complexity of combined exposures.
We seek contributions from colleagues working in the area of environmental epidemiology, toxicology, machine learning, and AI-driven bioinformatics that clarify causal mechanisms underlying mixture exposures. Topics of interest include, but are not limited to, chronic inflammation, oxidative stress, DNA damage, epigenetic changes, and cell cycle dysregulation, with emphasis on whether these processes act synergistically, additively, or antagonistically to influence chronic disease risk and prognosis.
Priority will be given to articles and reviews identifying early biomarkers with translational potential for diagnosis or intervention. Innovative approaches—such as high-throughput omics, in vitro and in vivo models, in silico toxicology, and AI-driven analytics—are strongly encouraged to move beyond associations and establish causal links between exposure and chronic disease outcomes.
Dr. Alok Deoraj
Dr. Quentin Felty
Guest Editors
Manuscript Submission Information
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Keywords
- combined exposure
- mixture exposure
- toxicology of cancer
- omics of cancer
- AI in carcinogenesis
- machine learning use in cancer
- cancer biomarkers
- pollutants of cancer
- agrochemicals
- endocrine-disruptive chemicals
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