Aug 2026· Endocrines· Vol 7, pp. 43· 0 citations· 37 references
TL;DR
The strong associations observed in rural counties suggest that agricultural context may influence the observed relationship between county-level 2,4-D use and thyroid cancer incidence and additional mechanistic and longitudinal studies are required to establish causality and to elucidate underlying endocrine pathways.
Abstract
Background/Objectives: The increasing incidence of thyroid cancer in the United States suggests a possible role for environmental exposures that potentially alter thyroid hormone regulation through cellular toxicity. 2,4-Dichlorophenoxyacetic acid (2,4-D) is a commonly used herbicide that can act as an endocrine disruptor and may be toxic to the thyroid gland. This ecological study examined county-level associations of 2,4-D use and age-adjusted incidence of thyroid cancer in the United States. Methods: The study utilized age-adjusted incidence rates for thyroid cancer for 2017–2021 through the CDC database. County-level 2,4-D use data was obtained from the U.S. Geological Survey and averaged over two time periods: 2003–2007 (10-year lag) and 2008–2012 (5-year lag). The association between 2,4-D use and thyroid cancer incidence was tested using linear mixed effects models. We further stratified the data analyses by sex and rurality (using the Rural–Urban Continuum Codes, RUCC 6–9 codes). For this study, statistical significance was set at p < 0.05. Results: In nationwide analyses, no significant associations were found in combined (5-year lag: p = 0.218; 10-year lag: p = 0.276) and sex-stratified models (males: p = 0.540 and p = 0.497; females: p = 0.222 and p = 0.353, for the 5- and 10-year lags, respectively). In analyses limited to rural counties, 2,4-D exposure was significantly associated with greater thyroid cancer incidence for both the 5-year (p = 0.004) and 10-year (p = 0.006) lag periods for the total population. Conclusions: The strong associations observed in rural counties suggest that agricultural context may influence the observed relationship between county-level 2,4-D use and thyroid cancer incidence. Additional mechanistic and longitudinal studies are required to establish causality and to elucidate underlying endocrine pathways.
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BACKGROUND
The association between organochlorine pesticides (OCPs)/synthetic pyrethroids (SPs) and thyroid cancer (TC) remains poorly understood, with metabolic mechanisms unexplored.
METHODS
We conducted a 1:1 age- and sex-matched case-control study (n = 668). Serum levels of 27 target analytes (19 OCPs and 8 SPs) were quantified; subsequent analyses were restricted to 13 compounds (10 OCPs and 3 SPs) with detection frequencies ≥85%. Eight machine learning (ML) algorithms with Shapley Additive Explanations (SHAP) were used to identify key pollutants in the 334 case-control pairs. Untargeted metabolomics was performed in a subset of 50 age- and sex-matched case-control pairs. Mixture effects were assessed by Bayesian kernel machine regression (BKMR) and weighted quantile sum (WQS) regression. Furthermore, the Latent Unknown Clustering Integrating Multi-Omics Data (LUCID) model was employed to integrate exposure and metabolic data, enabling the identification of TC patient subgroups and the exploration of underlying metabolic mechanisms.
RESULTS
Participants (mean age 45.2 years, 82.3% female) had serum OCPs at 0.007-0.333 ng/mL and SPs at 0.046-0.095 ng/mL. ML algorithms identified fenpropathrin, β-BHC, cyhalothrin, α-BHC, and p,p'-DDD as the top five contributors to TC. Elevated OCPs/SPs exposure was significantly associated with increased TC risk (WQS: adjusted OR = 1.45, 95%CI = 1.34-2.24, P = 0.019; LUCID: OR = 9.33). Fenpropathrin was the primary contributor (BKMR posterior inclusion probability = 1.00; WQS weight = 67.6%). A total of 45 significant differential metabolites (DMs) were identified (VIP ≥1, P < 0.05, and qualitative level 1). LUCID revealed a distinct TC cluster characterized by upregulated S-sulfo-L-cysteine/adenosine and downregulated 2-hydroxycaprylic acid.
CONCLUSION
OCPs/SPs mixtures, driven by fenpropathrin, disrupt amino acid/nucleotide metabolism while suppressing organic acid metabolism, representing a potential TC-associated metabolic signature.
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