Literature DB >> 22825584

Characterization of a large panel of patient-derived tumor xenografts representing the clinical heterogeneity of human colorectal cancer.

Sylvia Julien1, Ana Merino-Trigo, Ludovic Lacroix, Marc Pocard, Diane Goéré, Pascale Mariani, Sophie Landron, Ludovic Bigot, Fariba Nemati, Peggy Dartigues, Louis-Bastien Weiswald, Denis Lantuas, Loïc Morgand, Emmanuel Pham, Patrick Gonin, Virginie Dangles-Marie, Bastien Job, Philippe Dessen, Alain Bruno, Alain Pierré, Hugues De Thé, Hany Soliman, Manoel Nunes, Guillaume Lardier, Loreley Calvet, Brigitte Demers, Grégoire Prévost, Patricia Vrignaud, Sergio Roman-Roman, Olivier Duchamp, Cyril Berthet.   

Abstract

PURPOSE: Patient-derived xenograft models are considered to represent the heterogeneity of human cancers and advanced preclinical models. Our consortium joins efforts to extensively develop and characterize a new collection of patient-derived colorectal cancer (CRC) models. EXPERIMENTAL
DESIGN: From the 85 unsupervised surgical colorectal samples collection, 54 tumors were successfully xenografted in immunodeficient mice and rats, representing 35 primary tumors, 5 peritoneal carcinoses and 14 metastases. Histologic and molecular characterization of patient tumors, first and late passages on mice includes the sequence of key genes involved in CRC (i.e., APC, KRAS, TP53), aCGH, and transcriptomic analysis.
RESULTS: This comprehensive characterization shows that our collection recapitulates the clinical situation about the histopathology and molecular diversity of CRC. Moreover, patient tumors and corresponding models are clustering together allowing comparison studies between clinical and preclinical data. Hence, we conducted pharmacologic monotherapy studies with standard of care for CRC (5-fluorouracil, oxaliplatin, irinotecan, and cetuximab). Through this extensive in vivo analysis, we have shown the loss of human stroma cells after engraftment, observed a metastatic phenotype in some models, and finally compared the molecular profile with the drug sensitivity of each tumor model. Through an experimental cetuximab phase II trial, we confirmed the key role of KRAS mutation in cetuximab resistance.
CONCLUSIONS: This new collection could bring benefit to evaluate novel targeted therapeutic strategies and to better understand the basis for sensitivity or resistance of tumors from individual patients.

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Year:  2012        PMID: 22825584     DOI: 10.1158/1078-0432.CCR-12-0372

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  151 in total

Review 1.  Colorectal cancer models for novel drug discovery.

Authors:  Daniel Golovko; Dmitriy Kedrin; Ömer H Yilmaz; Jatin Roper
Journal:  Expert Opin Drug Discov       Date:  2015-08-21       Impact factor: 6.098

Review 2.  How to Choose a Mouse Model of Breast Cancer, a Genomic Perspective.

Authors:  Matthew R Swiatnicki; Eran R Andrechek
Journal:  J Mammary Gland Biol Neoplasia       Date:  2019-06-21       Impact factor: 2.673

Review 3.  New cast for a new era: preclinical cancer drug development revisited.

Authors:  Grit S Herter-Sprie; Andrew L Kung; Kwok-Kin Wong
Journal:  J Clin Invest       Date:  2013-09-03       Impact factor: 14.808

Review 4.  Examining the utility of patient-derived xenograft mouse models.

Authors:  Samuel Aparicio; Manuel Hidalgo; Andrew L Kung
Journal:  Nat Rev Cancer       Date:  2015-05       Impact factor: 60.716

Review 5.  The chick chorioallantoic membrane (CAM) as a versatile patient-derived xenograft (PDX) platform for precision medicine and preclinical research.

Authors:  Logan C DeBord; Ravi R Pathak; Mariana Villaneuva; Hsuan-Chen Liu; Daniel A Harrington; Wendong Yu; Michael T Lewis; Andrew G Sikora
Journal:  Am J Cancer Res       Date:  2018-08-01       Impact factor: 6.166

6.  Molecular characterization of patient-derived human pancreatic tumor xenograft models for preclinical and translational development of cancer therapeutics.

Authors:  Mike Mattie; Ashley Christensen; Mi Sook Chang; William Yeh; Suzanne Said; Yuriy Shostak; Linnette Capo; Alla Verlinsky; Zili An; Ingrid Joseph; Yi Zhang; Sathish Kumar-Ganesan; Karen Morrison; David Stover; Pia Challita-Eid
Journal:  Neoplasia       Date:  2013-10       Impact factor: 5.715

7.  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 8.  Development of Preclinical Models to Understand and Treat Colorectal Cancer.

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

9.  Poor-prognosis colon cancer is defined by a molecularly distinct subtype and develops from serrated precursor lesions.

Authors:  Felipe De Sousa E Melo; Xin Wang; Marnix Jansen; Evelyn Fessler; Anne Trinh; Laura P M H de Rooij; Joan H de Jong; Onno J de Boer; Ronald van Leersum; Maarten F Bijlsma; Hans Rodermond; Maartje van der Heijden; Carel J M van Noesel; Jurriaan B Tuynman; Evelien Dekker; Florian Markowetz; Jan Paul Medema; Louis Vermeulen
Journal:  Nat Med       Date:  2013-04-14       Impact factor: 53.440

10.  Delineation of MGMT Hypermethylation as a Biomarker for Veliparib-Mediated Temozolomide-Sensitizing Therapy of Glioblastoma.

Authors:  Shiv K Gupta; Sani H Kizilbash; Brett L Carlson; Ann C Mladek; Felix Boakye-Agyeman; Katrina K Bakken; Jenny L Pokorny; Mark A Schroeder; Paul A Decker; Ling Cen; Jeanette E Eckel-Passow; Gobinda Sarkar; Karla V Ballman; Joel M Reid; Robert B Jenkins; Roeland G Verhaak; Erik P Sulman; Gaspar J Kitange; Jann N Sarkaria
Journal:  J Natl Cancer Inst       Date:  2015-11-27       Impact factor: 13.506

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