Elucidating the mechanism of plasticizers inducing breast cancer through network toxicology and molecular docking analysis

The study provides evidence that exposure to plasticizers may influence breast cancer pathogenesis through interactions with critical proteins and signaling pathways. By employing network pharmacology, protein interactions, and molecular docking, our findings highlight the potential risks posed by plasticizers. These results underscore the need for further epidemiological and clinical research to fully understand the implications of plasticizer exposure on breast cancer risk, thus informing future preventive and therapeutic strategies.

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Publication Details

Journal
Ecotoxicology and Environmental Safety
Published
2024-08-23
DOI
https://doi.org/10.1016/j.ecoenv.2024.116866
Citations
53
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
19.16
Controls
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article

Elucidating the mechanism of plasticizers inducing breast cancer through network toxicology and molecular docking analysis

Chenning Zhang, Na He, Li Yin, Ming-Yu Liu
53 citations
Ecotoxicology and Environmental Safety
Computational Drug Discovery Methods
19.16
article

Elucidating the mechanism of plasticizers inducing breast cancer through network toxicology and molecular docking analysis

Chenning Zhang, Na He, Li Yin, Ming-Yu Liu
article en
53 citations

Abstract

The study provides evidence that exposure to plasticizers may influence breast cancer pathogenesis through interactions with critical proteins and signaling pathways. By employing network pharmacology, protein interactions, and molecular docking, our findings highlight the potential risks posed by plasticizers. These results underscore the need for further epidemiological and clinical research to fully understand the implications of plasticizer exposure on breast cancer risk, thus informing future preventive and therapeutic strategies.

Ecotoxicology and Environmental SafetyVol. 284
Hainan Medical University (CN)
Good health and well-being
Openalex Percentile: Top 0%
Computational Drug Discovery Methods
19.16
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