{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T22:15:58Z","timestamp":1793657758077,"version":"4.5.1"},"reference-count":44,"publisher":"American Association for Cancer Research (AACR)","issue":"5","content-domain":{"domain":["aacrjournals.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Precision medicine is an approach that takes into account the influence of individuals' genes, environment, and lifestyle exposures to tailor interventions. Here, we describe the development of a robust precision cancer care platform that integrates whole-exome sequencing with a living biobank that enables high-throughput drug screens on patient-derived tumor organoids. To date, 56 tumor-derived organoid cultures and 19 patient-derived xenograft (PDX) models have been established from the 769 patients enrolled in an Institutional Review Board\u2013approved clinical trial. Because genomics alone was insufficient to identify therapeutic options for the majority of patients with advanced disease, we used high-throughput drug screening to discover effective treatment strategies. Analysis of tumor-derived cells from four cases, two uterine malignancies and two colon cancers, identified effective drugs and drug combinations that were subsequently validated using 3-D cultures and PDX models. This platform thereby promotes the discovery of novel therapeutic approaches that can be assessed in clinical trials and provides personalized therapeutic options for individual patients where standard clinical options have been exhausted.<\/jats:p>\n                  <jats:p>Significance: Integration of genomic data with drug screening from personalized in vitro and in vivo cancer models guides precision cancer care and fuels next-generation research. Cancer Discov; 7(5); 462\u201377. \u00a92017 AACR.<\/jats:p>\n                  <jats:p>See related commentary by Picco and Garnett, p. 456.<\/jats:p>\n                  <jats:p>This article is highlighted in the In This Issue feature, p. 443<\/jats:p>","DOI":"10.1158\/2159-8290.cd-16-1154","type":"journal-article","created":{"date-parts":[[2017,3,22]],"date-time":"2017-03-22T20:10:51Z","timestamp":1490213451000},"page":"462-477","update-policy":"https:\/\/doi.org\/10.1158\/crossmark_policy","source":"Crossref","is-referenced-by-count":924,"title":["Personalized\n                    <i>In Vitro<\/i>\n                    and\n                    <i>In Vivo<\/i>\n                    Cancer Models to Guide Precision Medicine"],"prefix":"10.1158","volume":"7","author":[{"given":"Chantal","family":"Pauli","sequence":"first","affiliation":[{"name":"1Englander Institute for Precision Medicine, Weill Cornell Medicine-New York Presbyterian Hospital, New York, New York."},{"name":"2Department of 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