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      <ref-type name="Journal Article">17</ref-type>
      <work-type>ACLN : Articles dans des revues avec comité de lecture non répertoriées par l'AERES</work-type>
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        <authors>
          <author>
            <style face="normal" font="default" size="100%">Honles, J.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Cerapio, J.P.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Monge, C.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Marchio, A.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Ruiz, E.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Fernández, R.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Casavilca-Zambrano, S.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Contreras-Mancilla, J.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Vidaurre, T.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Condom, Thomas</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Zerathe, Swann</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Dangles, Olivier</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Deharo, Eric</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Herrera, Javier</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Pineau, P.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Bertani, Stéphane</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>Mapping pesticide mixtures to cancer risk at the country scale with spatial exposomics</title>
        <secondary-title>Nature Health</secondary-title>
      </titles>
      <pages>[25 ]</pages>
      <keywords>
        <keyword>PEROU</keyword>
      </keywords>
      <dates>
        <year>2026</year>
      </dates>
      <call-num>fdi:010096760</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>Nature Health</full-title>
      </periodical>
      <isbn>3005-0693</isbn>
      <electronic-resource-num>10.1038/s44360-026-00087-0</electronic-resource-num>
      <urls>
        <related-urls>
          <url>https://www.documentation.ird.fr/hor/fdi:010096760</url>
        </related-urls>
      </urls>
      <volume>[Early access]</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <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>
      <custom6>050MEDECI ; 021ENVECO ; 076RAVPLA07</custom6>
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