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      <title>Mapping pesticide mixtures to cancer risk at the country scale with spatial exposomics</title>
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    <abstract>Despite decades of concern over the carcinogenic potential of agricultural pesticides, toxicological studies relying on single endpoints have yet to establish a definitive link between environmental pesticide exposure and cancer in real-world contexts. Here we use an integrative spatial Bayesian framework that merges high-resolution environmental pesticide risk modelling with comprehensive cancer registry data to map pesticide-linked cancer clusters in Peru with unprecedented precision. Our process-based model, encompassing 31 key pesticide active ingredients, together with an innovative stratification of cancer cases by developmental lineage, reveals a robust spatial association between environmental pesticide exposure risk and cancer incidence. In pesticide-associated cancer hotspots, exposomic profiling of liver tissue?a primary target of chemical carcinogens?uncovers a distinct transcriptomic signature of pesticide exposure, implicating a non-genotoxic mode of action that disrupts core regulatory circuitries sustaining cell identity. Collectively, these findings strongly support a mechanistic link between pesticide exposure and cancer, challenging assumptions of human non-carcinogenicity derived from reductionist experimental models. This study redefines the exposome as a lineage-conditioned, mechanistically tractable framework and shows how complex pesticide mixtures can contribute to carcinogenic trajectories, with profound and far-reaching implications for global health policy and socio-ecological equity.</abstract>
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      <geographic>PEROU</geographic>
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    <classification authority="local">021ENVECO</classification>
    <classification authority="local">076RAVPLA07</classification>
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      <titleInfo>
        <title>Nature Health</title>
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          <number>[Early access]</number>
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          <list>[25 ]</list>
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        <dateIssued>2026</dateIssued>
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    <identifier type="uri">https://www.documentation.ird.fr/hor/fdi:010096760</identifier>
    <identifier type="doi">10.1038/s44360-026-00087-0</identifier>
    <identifier type="issn">3005-0693</identifier>
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      <recordCreationDate encoding="w3cdtf">2026-04-05</recordCreationDate>
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