<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Li P</submitter><funding>Shaanxi Province Innovation Capability Support Plan</funding><funding>Laboratory Animal Foundation Program</funding><funding>National Natural Science Foundation of China</funding><pagination>72</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11863571</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>44(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>The emergence of targeted therapies and immunotherapy has broadened treatment options for patients with pancreatic ductal adenocarcinoma (PDAC). Despite this, traditional drug selection, predominantly relies on tumor markers and clinical staging, has underutilized these drugs due to ignoring patient genomic diversity. Patient-derived organoids (PDOs) and corresponding patient-derived organoid xenograft (PDOX) models offer a way to better understand and address this.&lt;h4>Methods&lt;/h4>In this study, we established PDOs and PDOX models from PDAC clinical samples. These models were analyzed using immunohistochemistry, H&amp;E staining, and genomic profiling. Drug screening with 111 FDA-approved drugs was performed on PDOs, and drug responses in PDOs and PDOX models were compared t</pubmed_abstract><journal>Journal of experimental &amp; clinical cancer research : CR</journal><pubmed_title>Combining molecular characteristics and therapeutic analysis of PDOs predict clinical responses and guide PDAC personalized treatment.</pubmed_title><pmcid>PMC11863571</pmcid><funding_grant_id>32070532 and 32270566</funding_grant_id><funding_grant_id>SYDW_KY 2021-14</funding_grant_id><funding_grant_id>2022PT-38</funding_grant_id><pubmed_authors>Li G</pubmed_authors><pubmed_authors>Shi C</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Huang M</pubmed_authors><pubmed_authors>Li P</pubmed_authors><pubmed_authors>Ma Y</pubmed_authors><pubmed_authors>Wang X</pubmed_authors><pubmed_authors>Li M</pubmed_authors><pubmed_authors>Zhao Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Combining molecular characteristics and therapeutic analysis of PDOs predict clinical responses and guide PDAC personalized treatment.</name><description>&lt;h4>Background&lt;/h4>The emergence of targeted therapies and immunotherapy has broadened treatment options for patients with pancreatic ductal adenocarcinoma (PDAC). Despite this, traditional drug selection, predominantly relies on tumor markers and clinical staging, has underutilized these drugs due to ignoring patient genomic diversity. Patient-derived organoids (PDOs) and corresponding patient-derived organoid xenograft (PDOX) models offer a way to better understand and address this.&lt;h4>Methods&lt;/h4>In this study, we established PDOs and PDOX models from PDAC clinical samples. These models were analyzed using immunohistochemistry, H&amp;E staining, and genomic profiling. Drug screening with 111 FDA-approved drugs was performed on PDOs, and drug responses in PDOs and PDOX models were compared t</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Feb</publication><modification>2026-06-03T04:41:32.321Z</modification><creation>2025-04-06T22:12:06.388Z</creation></dates><accession>S-EPMC11863571</accession><cross_references><pubmed>40001264</pubmed><doi>10.1186/s13046-025-03332-8</doi></cross_references></HashMap>