Phthalates unleashed: decoding ovarian carcinogenesis through multi-omics networks, single-cell insights, and molecular docking.

IF 3.8 3区 医学 Q1 REPRODUCTIVE BIOLOGY
Junchan Yang, Min Luo, Hongjun Wang, Jinfa Huang
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Abstract

Background: Despite epidemiological studies linking phthalates to ovarian cancer, their multi-target molecular mechanisms remain unresolved, hindering biomarker discovery and preventive strategies. This study integrates network toxicology, multi-omics analyses, and molecular docking to systematically delineate phthalate-driven oncogenic pathways, thereby bridging mechanistic gaps and informing targeted interventions.

Results: We identified 234 potential targets related to phthalate exposure and ovarian cancer. Enrichment analysis revealed that these genes are associated with HIF-1 signaling, and metabolic pathways that promote cancer progression. Seven core genes were identified, with six (GAPDH, CASP3, PPARG, ESR1, CYCS, SIRT1, and CCND1) exhibiting differential expression in the TCGA ovarian cancer cohort. Single-cell analysis confirmed their widespread expression across various cell types, underscoring their roles in tumor biology. Molecular docking revealed specific binding interactions between phthalates and six core proteins.

Conclusions: Integrated computational analyses indicate that phthalates (DEP, DMP, DOP) may drive ovarian carcinogenesis through metabolic reprogramming (HIF-1α/glycolysis), strong binding to SIRT1/PPARα regulators, and tumor microenvironment remodeling. These findings establish a framework for prioritizing environmental carcinogens and identifying exposure biomarkers, with implications for reevaluating phthalate safety and elucidating the SIRT1-HIF1-PPARα axis in cancer pathogenesis.

释放邻苯二甲酸酯:解码卵巢癌发生通过多组学网络,单细胞的见解,和分子对接。
背景:尽管流行病学研究将邻苯二甲酸酯与卵巢癌联系起来,但其多靶点分子机制仍未解决,阻碍了生物标志物的发现和预防策略。该研究整合了网络毒理学、多组学分析和分子对接,系统地描绘了邻苯二甲酸盐驱动的致癌途径,从而弥合了机制上的空白,并为有针对性的干预提供了信息。结果:我们确定了234个与邻苯二甲酸盐暴露和卵巢癌相关的潜在靶点。富集分析显示,这些基因与HIF-1信号和促进癌症进展的代谢途径相关。鉴定出7个核心基因,其中6个(GAPDH、CASP3、PPARG、ESR1、CYCS、SIRT1和CCND1)在TCGA卵巢癌队列中表现出差异表达。单细胞分析证实了它们在各种细胞类型中的广泛表达,强调了它们在肿瘤生物学中的作用。分子对接揭示了邻苯二甲酸酯与六个核心蛋白之间的特异性结合相互作用。结论:综合计算分析表明,邻苯二甲酸盐(DEP, DMP, DOP)可能通过代谢重编程(HIF-1α/糖酵解),与SIRT1/PPARα调节因子的强结合以及肿瘤微环境重塑来驱动卵巢癌的发生。这些发现为确定环境致癌物的优先级和识别暴露生物标志物建立了一个框架,对重新评估邻苯二甲酸盐的安全性和阐明SIRT1-HIF1-PPARα轴在癌症发病机制中的作用具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Ovarian Research
Journal of Ovarian Research REPRODUCTIVE BIOLOGY-
CiteScore
6.20
自引率
2.50%
发文量
125
审稿时长
>12 weeks
期刊介绍: Journal of Ovarian Research is an open access, peer reviewed, online journal that aims to provide a forum for high-quality basic and clinical research on ovarian function, abnormalities, and cancer. The journal focuses on research that provides new insights into ovarian functions as well as prevention and treatment of diseases afflicting the organ. Topical areas include, but are not restricted to: Ovary development, hormone secretion and regulation Follicle growth and ovulation Infertility and Polycystic ovarian syndrome Regulation of pituitary and other biological functions by ovarian hormones Ovarian cancer, its prevention, diagnosis and treatment Drug development and screening Role of stem cells in ovary development and function.
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