Serum metabolome associated with novel and legacy per- and polyfluoroalkyl substances exposure and thyroid cancer risk: A multi-module integrated analysis based on machine learning

Serum metabolome associated with novel and legacy per- and polyfluoroalkyl substances exposure and thyroid cancer risk: A multi-module integrated analysis based on machine learning

Background: Exposure to per- and polyfluoroalkyl substances (PFAS) may linked to thyroid cancer (TC) risk, but inconsistent findings and a lack of studies on mixed exposures exist, especially regarding novel PFAS compounds. Additionally, little is known about the potential mechanisms underlying the...

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Bibliographic Details
Main Authors: Fei Wang, Yuanxin Lin, Lian Qin, Xiangtai Zeng, Hancheng Jiang, Yanlan Liang, Shifeng Wen, Xiangzhi Li, Shiping Huang, Chunxiang Li, Xiaoyu Luo, Xiaobo Yang
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Environment International
Subjects:
Per- and polyfluoroalkyl substances (PFAS)
Thyroid cancer
Untargeted metabolome
Mixed exposure
SHapley Additive exPlanation (SHAP)
Case−control study
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412024007906
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