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Updated: Mar 6, 2026

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer
Published on: May 21, 2019
Radiologic exposomics: imaging the environmental imprint on cancer for precision oncology
Andrea Delli Pizzi1,2,3, Massimo Caulo4,5,6
1ITAB - Institute for Advanced Biomedical Technologies, "G. d'Annunzio" University, Chieti, Italy. andreadellipizzi@gmail.com.
Environmental exposures impact cancer, but their effects are hard to study. Quantitative medical imaging, like radiomics, can reveal these biological impacts by analyzing tissue patterns linked to environmental stress.
Area of Science:
- Environmental Health
- Medical Imaging
- Oncology
Background:
- Environmental exposures (pollutants, metals, urban stressors) are linked to cancer development and progression.
- Understanding the in vivo biological effects of these exposures remains challenging.
- Quantitative medical imaging offers a potential solution to characterize these effects.
Purpose of the Study:
- To review the rationale for integrating geospatial exposure assessment with imaging biomarkers (radiomics) from CT and MRI.
- To explore how radiologic features can reflect long-term environmental stress impacts like oxidative damage, inflammation, and immune dysregulation.
- To summarize epidemiologic evidence and propose a workflow for harmonizing exposomic and radiomic data.
Main Methods:
- Review of existing literature on environmental exposures, cancer, and medical imaging.
- Discussion of radiomics as a tool to analyze tissue-level patterns.
- Presentation of a methodological workflow for data integration, including exposure assignment, imaging standardization, and feature extraction.
- Consideration of confounding factors, data governance, and equity.
Main Results:
- Radiologic features may serve as intermediate phenotypes of the exposome, reflecting biological processes influenced by environmental stressors.
- Integration of imaging and exposure data is plausible across major cancer types.
- The proposed workflow addresses challenges in harmonizing high-dimensional exposomic and radiomic data.
Conclusions:
- Medical imaging, particularly radiomics, can bridge the gap in understanding the in vivo biological effects of environmental exposures on cancer.
- This approach can expand the role of radiology in precision oncology.
- New hypotheses can be generated regarding how environmental conditions influence cancer biology.
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