{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T12:51:41Z","timestamp":1791550301089,"version":"4.3.4"},"reference-count":149,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T00:00:00Z","timestamp":1791504000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T00:00:00Z","timestamp":1791504000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Adv Healthcare Materials"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Precision oncology has become a focus of both clinical practice and basic research. With the rapid evolution of organoid culture techniques and the integration of biomedical engineering approaches, patient\u2010derived organoid (PDO) systems are playing an increasingly pivotal role in precision cancer therapy. By recapitulating patient\u2010specific tumor characteristics, these platforms demonstrate considerable potential for clinical translation.<\/jats:p>\n                  <jats:p>Despite remarkable progress, the impact of PDO models on real\u2010world therapeutic decision\u2010making remains limited. Most existing studies have focused on preclinical concept validations or small\u2010scale trials, leaving a substantial gap before these models can be implemented to guide individualized cancer therapy.<\/jats:p>\n                  <jats:p>This review examines on\u2010demand PDO generation through the selection of sample\u2010processing methods, matrices, and platform architectures matched to specific treatment\u2010response questions. We compare conventional and engineered systems in terms of biological complexity, sample requirements, reported timelines, assay readouts, and clinical evidence. Particular attention is given to engineering trade\u2010offs and the distinction between technical feasibility, clinical response correlation, and demonstrated utility in treatment selection.<\/jats:p>","DOI":"10.1002\/adhm.71817","type":"journal-article","created":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T11:52:43Z","timestamp":1791546763000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["On\u2010Demand Generation of Patient\u2010Derived Organoids for Precision Oncology: Progress and Prospects"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-6586-5813","authenticated-orcid":false,"given":"Ziliang","family":"Guo","sequence":"first","affiliation":[{"name":"Department of General Surgery Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College  Beijing 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