Network toxicological insights into DEHP exposure and thyroid cancer development and progression
- PMID: 40900788
- PMCID: PMC12399584
- DOI: 10.3389/fonc.2025.1617202
Network toxicological insights into DEHP exposure and thyroid cancer development and progression
Abstract
This study aimed to identify markers of di-2-ethylhexyl phthalate (DEHP) exposure associated with thyroid cancer occurrence and prognosis by integrating network toxicology and molecular docking. Expression profiles and clinical information were obtained from TCGA-THCA and five GEO datasets (GSE3467, GSE3678, GSE33630, GSE53157, and GSE60542). Venn diagram analysis revealed six overlapping genes (CYP1B1, ABCC3, KRT19, CUX2, GABRB2, and TNFSF15) between the combined dataset and DEHP's target genes. GO and KEGG enrichment analyses were conducted on these overlapping genes. Through multivariate COX regression model, it is clearly seen that CYP1B1, GABRB2 and TNFSF15 are highly expressed, and can basically be determined as candidate hub genes. Kaplan-Meier survival analysis indicated that the high-risk group had a significantly poorer prognosis (p < 0.05). Furthermore, prognostic ROC curves based on the GEO validation set demonstrated that CYP1B1, GABRB2, and TNFSF15 were significantly associated with thyroid cancer diagnosis (AUC exceeding 0.86). Finally, molecular docking was employed to visualize the interaction sites between DEHP and its target genes. In conclusion, this study provides novel targets for the prevention and treatment of thyroid cancer in the context of DEHP exposure.
Keywords: DEHP; GEO; TCGA; network toxicological; thyroid cancer.
Copyright © 2025 Zhang and Wang.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Figures






Similar articles
-
Toxicity and mechanism of bis(2-ethylhexyl) phthalate in premature ovarian failure: A network toxicology prediction and molecular docking analysis.Medicine (Baltimore). 2025 Jul 18;104(29):e43404. doi: 10.1097/MD.0000000000043404. Medicine (Baltimore). 2025. PMID: 40696610 Free PMC article.
-
Mechanism exploration of di(2-ethylhexyl) phthalate (DEHP)-induced breast cancer via network toxicology and molecular docking analysis.Sci Rep. 2025 Jul 26;15(1):27257. doi: 10.1038/s41598-025-13201-1. Sci Rep. 2025. PMID: 40715557 Free PMC article.
-
Characterization of novel anoikis-related genes as prognostic biomarkers and key determinants of the immune microenvironment in esophageal cancer.Front Immunol. 2025 Jul 11;16:1599171. doi: 10.3389/fimmu.2025.1599171. eCollection 2025. Front Immunol. 2025. PMID: 40746552 Free PMC article.
-
Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy.Health Technol Assess. 2006 Sep;10(34):iii-iv, ix-xi, 1-204. doi: 10.3310/hta10340. Health Technol Assess. 2006. PMID: 16959170
-
Systemic treatments for metastatic cutaneous melanoma.Cochrane Database Syst Rev. 2018 Feb 6;2(2):CD011123. doi: 10.1002/14651858.CD011123.pub2. Cochrane Database Syst Rev. 2018. PMID: 29405038 Free PMC article.
References
LinkOut - more resources
Full Text Sources
Miscellaneous