{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T15:04:52Z","timestamp":1791817492514,"version":"4.3.4"},"reference-count":42,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:00:00Z","timestamp":1777852800000},"content-version":"vor","delay-in-days":3,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100003042","name":"Else Kr\u00f6ner-Fresenius-Stiftung","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003042","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008672","name":"Wilhelm Sander-Stiftung","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008672","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Eur J Immunol"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Antibody\u2013drug conjugates (ADCs) have transformed the therapeutic landscape of solid tumors; however, responses remain heterogeneous and complex to predict. In addition, a growing number of multiple ADC targets are either approved or in late\u2010stage clinical development, such as NECTIN\u20104, HER2, or TROP2 for metastatic urothelial cancer. Spatial multiomics\u2014representing next\u2010generation methods that couple high\u2010plex RNA sequencing and multiplex protein imaging with precise\n                    <jats:italic>x<\/jats:italic>\n                    \u2010\n                    <jats:italic>y<\/jats:italic>\n                    \u2010\n                    <jats:italic>z<\/jats:italic>\n                    coordinates within tissues\u2014offer a direct way to correlate (ADC) antigen expression, cell state information, and micro\u2010anatomical context with patient treatment outcomes. In this review, we highlight suitability and technological advancements in current spatial transcriptomics and proteomics approaches to decode modes of action and resistance to ADCs and extract biological insights, particularly in metastatic urothelial cancer\u2014and propose an integrative framework that combines spatial readouts with machine and\/or deep learning\u2010driven analytics to stratify patients, forecast on\u2010 and off\u2010target toxicities, and guide next\u2010generation linker\u2013payload designs or combination therapies.\n                  <\/jats:p>","DOI":"10.1002\/eji.70190","type":"journal-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T05:31:56Z","timestamp":1777959116000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Spatial Multiomics Reveal Insights Into ADC 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