Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors

通过对临床前模型中结直肠癌进行分子解剖,可以识别预测对 EGFR 抑制剂敏感性的生物标志物。

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作者:Moritz Schütte ,Thomas Risch ,Nilofar Abdavi-Azar ,Karsten Boehnke ,Dirk Schumacher ,Marlen Keil ,Reha Yildiriman ,Christine Jandrasits ,Tatiana Borodina ,Vyacheslav Amstislavskiy ,Catherine L Worth ,Caroline Schweiger ,Sandra Liebs ,Martin Lange ,Hans-Jörg Warnatz ,Lee M Butcher ,James E Barrett ,Marc Sultan ,Christoph Wierling ,Nicole Golob-Schwarzl ,Sigurd Lax ,Stefan Uranitsch ,Michael Becker ,Yvonne Welte ,Joseph Lewis Regan ,Maxine Silvestrov ,Inge Kehler ,Alberto Fusi ,Thomas Kessler ,Ralf Herwig ,Ulf Landegren ,Dirk Wienke ,Mats Nilsson ,Juan A Velasco ,Pilar Garin-Chesa ,Christoph Reinhard ,Stephan Beck ,Reinhold Schäfer ,Christian R A Regenbrecht ,David Henderson ,Bodo Lange ,Johannes Haybaeck ,Ulrich Keilholz ,Jens Hoffmann ,Hans Lehrach ,Marie-Laure Yaspo

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 sub-groups because of the loss of human stroma. Linking molecular profiles with drug sensitivity patterns identifies novel biomarkers, including a signature outperforming RAS/RAF mutations in predicting sensitivity to the EGFR inhibitor cetuximab.

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