@article{fdi:010096760, title = {{M}apping pesticide mixtures to cancer risk at the country scale with spatial exposomics}, author = {{H}onles, {J}. and {C}erapio, {J}.{P}. and {M}onge, {C}. and {M}archio, {A}. and {R}uiz, {E}. and {F}ernández, {R}. and {C}asavilca-{Z}ambrano, {S}. and {C}ontreras-{M}ancilla, {J}. and {V}idaurre, {T}. and {C}ondom, {T}homas and {Z}erathe, {S}wann and {D}angles, {O}livier and {D}eharo, {E}ric and {H}errera, {J}avier and {P}ineau, {P}. and {B}ertani, {S}t{\'e}phane}, editor = {}, language = {{ENG}}, abstract = {{D}espite 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. {H}ere we use an integrative spatial {B}ayesian framework that merges high-resolution environmental pesticide risk modelling with comprehensive cancer registry data to map pesticide-linked cancer clusters in {P}eru with unprecedented precision. {O}ur 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. {I}n 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. {C}ollectively, these findings strongly support a mechanistic link between pesticide exposure and cancer, challenging assumptions of human non-carcinogenicity derived from reductionist experimental models. {T}his 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.}, keywords = {{PEROU}}, booktitle = {}, journal = {{N}ature {H}ealth}, volume = {[{E}arly access]}, numero = {}, pages = {[25 ]}, ISSN = {3005-0693}, year = {2026}, DOI = {10.1038/s44360-026-00087-0}, URL = {https://www.documentation.ird.fr/hor/fdi:010096760}, }