<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8</volume><submitter>Schutte M</submitter><pubmed_abstract>Colorectal carcinoma represents a heterogeneous entity, with only a fraction of the tumours responding to available therapies, requiring a better molecular understanding of the disease in precision oncology. To address this challenge, the OncoTrack consortium recruited 106 CRC patients (stages I-IV) and developed a pre-clinical platform generating a compendium of drug sensitivity data totalling >4,000 assays testing 16 clinical drugs on patient-derived in vivo and in vitro models. This large biobank of 106 tumours, 35 organoids and 59 xenografts, with extensive omics data comparing donor tumours and derived models provides a resource for advancing our understanding of CRC. Models recapitulate many of the genetic and transcriptomic features of the donors, but defined less complex molecular </pubmed_abstract><journal>Nature communications</journal><pagination>14262</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5309787</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors.</pubmed_title><pmcid>PMC5309787</pmcid><pubmed_authors>Nilsson M</pubmed_authors><pubmed_authors>Borodina T</pubmed_authors><pubmed_authors>Herwig R</pubmed_authors><pubmed_authors>Becker M</pubmed_authors><pubmed_authors>Amstislavskiy V</pubmed_authors><pubmed_authors>Abdavi-Azar N</pubmed_authors><pubmed_authors>Butcher LM</pubmed_authors><pubmed_authors>Wierling C</pubmed_authors><pubmed_authors>Reinhard C</pubmed_authors><pubmed_authors>Schweiger C</pubmed_authors><pubmed_authors>Velasco JA</pubmed_authors><pubmed_authors>Garin-Chesa P</pubmed_authors><pubmed_authors>Lehrach H</pubmed_authors><pubmed_authors>Yildiriman R</pubmed_authors><pubmed_authors>Welte Y</pubmed_authors><pubmed_authors>Wienke D</pubmed_authors><pubmed_authors>Lange M</pubmed_authors><pubmed_authors>Schumacher D</pubmed_authors><pubmed_authors>Silvestrov M</pubmed_authors><pubmed_authors>Kessler T</pubmed_authors><pubmed_authors>Golob-Schwarzl N</pubmed_authors><pubmed_authors>Uranitsch S</pubmed_authors><pubmed_authors>Keilholz U</pubmed_authors><pubmed_authors>Regan JL</pubmed_authors><pubmed_authors>Beck S</pubmed_authors><pubmed_authors>Schafer R</pubmed_authors><pubmed_authors>Landegren U</pubmed_authors><pubmed_authors>Lange B</pubmed_authors><pubmed_authors>Lax S</pubmed_authors><pubmed_authors>Yaspo ML</pubmed_authors><pubmed_authors>Worth CL</pubmed_authors><pubmed_authors>Liebs S</pubmed_authors><pubmed_authors>Barrett JE</pubmed_authors><pubmed_authors>Sultan M</pubmed_authors><pubmed_authors>Haybaeck J</pubmed_authors><pubmed_authors>Kehler I</pubmed_authors><pubmed_authors>Regenbrecht CR</pubmed_authors><pubmed_authors>Keil M</pubmed_authors><pubmed_authors>Warnatz HJ</pubmed_authors><pubmed_authors>Boehnke K</pubmed_authors><pubmed_authors>Hoffmann J</pubmed_authors><pubmed_authors>Schutte M</pubmed_authors><pubmed_authors>Henderson D</pubmed_authors><pubmed_authors>Risch T</pubmed_authors><pubmed_authors>Jandrasits C</pubmed_authors><pubmed_authors>Fusi A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors.</name><description>Colorectal carcinoma represents a heterogeneous entity, with only a fraction of the tumours responding to available therapies, requiring a better molecular understanding of the disease in precision oncology. To address this challenge, the OncoTrack consortium recruited 106 CRC patients (stages I-IV) and developed a pre-clinical platform generating a compendium of drug sensitivity data totalling >4,000 assays testing 16 clinical drugs on patient-derived in vivo and in vitro models. This large biobank of 106 tumours, 35 organoids and 59 xenografts, with extensive omics data comparing donor tumours and derived models provides a resource for advancing our understanding of CRC. Models recapitulate many of the genetic and transcriptomic features of the donors, but defined less complex molecular </description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Feb</publication><modification>2026-04-28T23:23:53.29Z</modification><creation>2019-03-27T02:36:33Z</creation></dates><accession>S-EPMC5309787</accession><cross_references><pubmed>28186126</pubmed><doi>10.1038/ncomms14262</doi></cross_references></HashMap>