Literature DB >> 22586653

A molecularly annotated platform of patient-derived xenografts ("xenopatients") identifies HER2 as an effective therapeutic target in cetuximab-resistant colorectal cancer.

Andrea Bertotti1, Giorgia Migliardi, Francesco Galimi, Francesco Sassi, Davide Torti, Claudio Isella, Davide Corà, Federica Di Nicolantonio, Michela Buscarino, Consalvo Petti, Dario Ribero, Nadia Russolillo, Andrea Muratore, Paolo Massucco, Alberto Pisacane, Luca Molinaro, Emanuele Valtorta, Andrea Sartore-Bianchi, Mauro Risio, Lorenzo Capussotti, Marcello Gambacorta, Salvatore Siena, Enzo Medico, Anna Sapino, Silvia Marsoni, Paolo M Comoglio, Alberto Bardelli, Livio Trusolino.   

Abstract

UNLABELLED: Only a fraction of patients with metastatic colorectal cancer receive clinical benefit from therapy with anti-epidermal growth factor receptor (EGFR) antibodies, which calls for the identification of novel biomarkers for better personalized medicine. We produced large xenograft cohorts from 85 patient-derived, genetically characterized metastatic colorectal cancer samples ("xenopatients") to discover novel determinants of therapeutic response and new oncoprotein targets. Serially passaged tumors retained the morphologic and genomic features of their original counterparts. A validation trial confirmed the robustness of this approach: xenopatients responded to the anti-EGFR antibody cetuximab with rates and extents analogous to those observed in the clinic and could be prospectively stratified as responders or nonresponders on the basis of several predictive biomarkers. Genotype-response correlations indicated HER2 amplification specifically in a subset of cetuximab-resistant, KRAS/NRAS/BRAF/PIK3CA wild-type cases. Importantly, HER2 amplification was also enriched in clinically nonresponsive KRAS wild-type patients. A proof-of-concept, multiarm study in HER2-amplified xenopatients revealed that the combined inhibition of HER2 and EGFR induced overt, long-lasting tumor regression. Our results suggest promising therapeutic opportunities in cetuximab-resistant patients with metastatic colorectal cancer, whose medical treatment in the chemorefractory setting remains an unmet clinical need. SIGNIFICANCE: Direct transfer xenografts of tumor surgical specimens conserve the interindividual diversity and the genetic heterogeneity typical of the tumors of origin, combining the flexibility of preclinical analysis with the informative value of population-based studies. Our suite of patient-derived xenografts from metastatic colorectal carcinomas reliably mimicked disease response in humans, prospectively recapitulated biomarker-based case stratification, and identified HER2 as a predictor of resistance to anti-epidermal growth factor receptor antibodies and of response to combination therapies against HER2 and epidermal growth factor receptor in this tumor setting.
© 2011 AACR.

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Year:  2011        PMID: 22586653     DOI: 10.1158/2159-8290.CD-11-0109

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   39.397


  339 in total

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Authors:  Claudia Esposito; Anna Maria Rachiglio; Maria Libera La Porta; Alessandra Sacco; Cristin Roma; Alessia Iannaccone; Fabiana Tatangelo; Laura Forgione; Raffaella Pasquale; Americo Barbaro; Gerardo Botti; Fortunato Ciardiello; Nicola Normanno
Journal:  Cancer Biol Ther       Date:  2013-09-23       Impact factor: 4.742

2.  Arginine methylation of EGFR: a new biomarker for predicting resistance to anti-EGFR treatment.

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Journal:  Am J Cancer Res       Date:  2017-12-01       Impact factor: 6.166

Review 3.  Molecular markers predictive of chemotherapy response in colorectal cancer.

Authors:  Stacey Shiovitz; William M Grady
Journal:  Curr Gastroenterol Rep       Date:  2015-02

4.  A novel patient-derived xenograft model for claudin-low triple-negative breast cancer.

Authors:  Margarite D Matossian; Hope E Burks; Annie C Bowles; Steven Elliott; Van T Hoang; Rachel A Sabol; Nicholas C Pashos; Benjamen O'Donnell; Kristin S Miller; Bahia M Wahba; Bruce A Bunnell; Krzysztof Moroz; Arnold H Zea; Steven D Jones; Augusto C Ochoa; Amir A Al-Khami; Fokhrul Hossain; Adam I Riker; Lyndsay V Rhodes; Elizabeth C Martin; Lucio Miele; Matthew E Burow; Bridgette M Collins-Burow
Journal:  Breast Cancer Res Treat       Date:  2018-02-01       Impact factor: 4.872

Review 5.  Development of Preclinical Models to Understand and Treat Colorectal Cancer.

Authors:  Judith S Sebolt-Leopold
Journal:  Clin Colon Rectal Surg       Date:  2018-04-01

6.  Establishment and characterization of an ovarian yolk sac tumor patient-derived xenograft model.

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7.  Targeted approach to metastatic colorectal cancer: what comes beyond epidermal growth factor receptor antibodies and bevacizumab?

Authors:  Teresa Troiani; Erika Martinelli; Floriana Morgillo; Anna Capasso; Anna Nappi; Vincenzo Sforza; Fortunato Ciardiello
Journal:  Ther Adv Med Oncol       Date:  2013-01       Impact factor: 8.168

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Authors:  Heather A Huet; Joseph D Growney; Jennifer A Johnson; Jing Li; Sanela Bilic; Lance Ostrom; Mohammad Zafari; Colleen Kowal; Guizhi Yang; Axelle Royo; Michael Jensen; Bruno Dombrecht; Kris R A Meerschaert; Joost A Kolkman; Karen D Cromie; Rebecca Mosher; Hui Gao; Alwin Schuller; Randi Isaacs; William R Sellers; Seth A Ettenberg
Journal:  MAbs       Date:  2014       Impact factor: 5.857

Review 9.  Illuminating cancer systems with genetically engineered mouse models and coupled luciferase reporters in vivo.

Authors:  Brandon Kocher; David Piwnica-Worms
Journal:  Cancer Discov       Date:  2013-04-12       Impact factor: 39.397

10.  Cancer Stem Cell-Based Models of Colorectal Cancer Reveal Molecular Determinants of Therapy Resistance.

Authors:  Maria Laura De Angelis; Ann Zeuner; Eleonora Policicchio; Giorgio Russo; Alessandro Bruselles; Michele Signore; Sara Vitale; Gabriele De Luca; Emanuela Pilozzi; Alessandra Boe; Giorgio Stassi; Lucia Ricci-Vitiani; Carla Azzurra Amoreo; Alfredo Pagliuca; Federica Francescangeli; Marco Tartaglia; Ruggero De Maria; Marta Baiocchi
Journal:  Stem Cells Transl Med       Date:  2016-03-08       Impact factor: 6.940

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