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High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC)
Published on: May 10, 2016
Exploring the Toxicological Impact and Mechanisms of DEHP Exposure on Prostate Cancer Through Network Toxicology and
Jinji Chen1, Jianlin Chen2, Junming Huang1
1Department of Urology, Guangxi Medical University Cancer Hospital, Nanning, 530000, China.
Introduction:
Prostate Cancer (PCa) is the most common male malignancy, and its initiation and progression may be influenced by environmental pollutants such as di(2-ethylhexyl) phthalate (DEHP).
Methods:
Potential targets of DEHP were retrieved from ChEMBL, SwissTargetPrediction, and PharmMapper databases. DEHP-related genes correlated with PCa were identified by intersecting the DEHP target gene set with PCa-associated genes. Machine learning approaches were employed to identify and characterize the core genes linked to PCa. SHapley Additive exPlanations (SHAP) analysis was used to evaluate model interpretability. Molecular docking was performed to assess the binding interactions between DEHP and the key target proteins. Cellular validation was performed using CCK-8 assay, quantitative reverse transcription PCR (RT-qPCR), and western blot analysis.
Results:
A total of 53 genes were identified as potential actionable targets of DEHP in PCa pathobiology. Through machine learning, these genes were reduced to 12 genes (ACACB, CD200, FERMT2, GCNT1, GNAI2, GSTM2, IMPDH2, ITGA2, MMP26, PMM2, PRKCA, and SRD5A2), which exhibited distinct dysregulation patterns in PCa tissues. Furthermore, molecular simulation docking simulations demonstrated its robust binding interactions with key targets, including PMM2, ITGA2, GSTM2, IMPDH2, and PRKCA, warranting further experimental validation.
Discussion:
DEHP, an industrial chemical, may contribute to PCa via multiple pathways. A 12-gene model for DEHP-associated PCa was identified, among which PMM2 may play a key role in mediating oncogenic effects via metabolic, redox, and signaling reprogramming.
Conclusions:
The findings indicated that DEHP can influence the development of PCarelated pathways through targeting specific genes and signaling, exhibiting the potential to serve as a biomarker to assess the risk of PCa related to DEHP exposure.
Insights
Di(2-ethylhexyl) phthalate (DEHP), an industrial chemical, may drive prostate cancer (PCa) development. A 12-gene model identified DEHP-driven PCa pathways, with PMM2 potentially mediating oncogenic effects.
Area of Science:
- Environmental Health
- Oncology
- Molecular Biology
Background:
- Prostate cancer (PCa) is a prevalent male malignancy.
- Environmental pollutants, like di(2-ethylhexyl) phthalate (DEHP), may influence PCa initiation and progression.
Purpose of the Study:
- To identify DEHP's actionable targets in PCa pathobiology.
- To develop a gene model for DEHP-associated PCa using machine learning.
Main Methods:
- Utilized ChEMBL, SwissTargetPrediction, and PharmMapper databases to identify DEHP targets.
- Applied machine learning and SHAP analysis to pinpoint core PCa-linked genes.
- Performed molecular docking and cellular validation (CCK-8, RT-qPCR, Western blot).
Main Results:
- Identified 53 potential DEHP actionable targets in PCa.
- Reduced to a 12-gene signature (ACACB, CD200, FERMT2, GCNT1, GNAI2, GSTM2, IMPDH2, ITGA2, MMP26, PMM2, PRKCA, SRD5A2) with distinct PCa dysregulation.
- Molecular docking confirmed binding interactions with key targets like PMM2, ITGA2, GSTM2, IMPDH2, and PRKCA.
Conclusions:
- DEHP may contribute to PCa through multiple pathways, influencing PCa development via specific gene targeting.
- A 12-gene model for DEHP-associated PCa was established, highlighting PMM2's potential role in oncogenesis.
- DEHP-targeted genes show potential as biomarkers for assessing PCa risk associated with DEHP exposure.
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