Literature DB >> 25838158

Bridging tumor genomics to patient outcomes through an integrated patient-derived xenograft platform.

David R Gandara1, Philip C Mack2, Carol Bult3, Tianhong Li2, Primo N Lara2, Jonathan W Riess2, Stephanie H Astrow4, Regina Gandour-Edwards2, David T Cooke2, Ken Y Yoneda2, Elizabeth H Moore2, Chong-Xian Pan2, Rebekah A Burich2, Elizabeth A David2, James G Keck3, Susan Airhart3, Neal Goodwin3, Ralph W de Vere White2, Edison T Liu3.   

Abstract

New approaches to optimization of cancer drug development in the laboratory and the clinic will be required to fully achieve the goal of individualized, precision cancer therapy. Improved preclinical models that more closely reflect the now recognized genomic complexity of human cancers are needed. Here we describe a collaborative research project that integrates core resources of The Jackson Laboratory Basic Science Cancer Center with genomics and clinical research facilities at the UC Davis Comprehensive Cancer Center to establish a clinically and genomically annotated patient-derived xenograft (PDX) platform designed to enhance new drug development and strategies for targeted therapies. Advanced stage non-small-cell lung cancer (NSCLC) was selected for initial studies because of emergence of a number of "druggable" molecular targets, and recent recognition of substantial inter- and intrapatient tumor heterogeneity. Additionally, clonal evolution after targeted therapy interventions make this tumor type ideal for investigation of this platform. Using the immunodeficient NOD scid gamma mouse, > 200 NSCLC tumor biopsies have been xenotransplanted. During the annotation process, patient tumors and subsequent PDXs are compared at multiple levels, including histomorphology, clinically applicable molecular biomarkers, global gene expression patterns, gene copy number variations, and DNA/chromosomal alterations. NSCLC PDXs are grouped into panels of interest according to oncogene subtype and/or histologic subtype. Multiregimen drug testing, paired with next-generation sequencing before and after therapy and timed tumor pharmacodynamics enables determination of efficacy, signaling pathway alterations, and mechanisms of sensitivity-resistance in individual models. This approach should facilitate derivation of new therapeutic strategies and the transition to individualized therapy.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical trials; Lung cancer; Mouse model; Patient derived xenograft

Mesh:

Substances:

Year:  2015        PMID: 25838158      PMCID: PMC4586173          DOI: 10.1016/j.cllc.2015.03.001

Source DB:  PubMed          Journal:  Clin Lung Cancer        ISSN: 1525-7304            Impact factor:   4.785


  26 in total

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Authors:  David R Gandara; Peter Grimminger; Philip C Mack; Primo N Lara; Tianhong Li; Peter V Danenberg; Kathleen D Danenberg
Journal:  J Thorac Oncol       Date:  2010-12       Impact factor: 15.609

Review 2.  Oncogenic drivers, targeted therapies, and acquired resistance in non-small-cell lung cancer.

Authors:  Arjan Gower; Yisong Wang; Giuseppe Giaccone
Journal:  J Mol Med (Berl)       Date:  2014-05-23       Impact factor: 4.599

Review 3.  A systematic approach to the development of novel therapeutics for lung cancer using genomic analyses.

Authors:  Y Daigo; A Takano; K Teramoto; S Chung; Y Nakamura
Journal:  Clin Pharmacol Ther       Date:  2013-05-08       Impact factor: 6.875

4.  Acquired resistance to targeted therapies against oncogene-driven non-small-cell lung cancer: approach to subtyping progressive disease and clinical implications.

Authors:  David R Gandara; Tianhong Li; Primo N Lara; Karen Kelly; Jonathan W Riess; Mary W Redman; Philip C Mack
Journal:  Clin Lung Cancer       Date:  2013-10-12       Impact factor: 4.785

Review 5.  Patient-derived tumour xenografts as models for oncology drug development.

Authors:  John J Tentler; Aik Choon Tan; Colin D Weekes; Antonio Jimeno; Stephen Leong; Todd M Pitts; John J Arcaroli; Wells A Messersmith; S Gail Eckhardt
Journal:  Nat Rev Clin Oncol       Date:  2012-04-17       Impact factor: 66.675

Review 6.  How genetically engineered mouse tumor models provide insights into human cancers.

Authors:  Katerina Politi; William Pao
Journal:  J Clin Oncol       Date:  2011-01-24       Impact factor: 44.544

7.  Algorithm for codevelopment of new drug-predictive biomarker combinations: accounting for inter- and intrapatient tumor heterogeneity.

Authors:  David R Gandara; Tianhong Li; Primo N Lara; Philip C Mack; Karen Kelly; Suzanne Miyamoto; Neal Goodwin; Laurel Beckett; Mary W Redman
Journal:  Clin Lung Cancer       Date:  2012-06-06       Impact factor: 4.785

8.  Temporal molecular and biological assessment of an erlotinib-resistant lung adenocarcinoma model reveals markers of tumor progression and treatment response.

Authors:  Zoë Weaver; Simone Difilippantonio; Julian Carretero; Philip L Martin; Rajaa El Meskini; Anthony J Iacovelli; Michelle Gumprecht; Alan Kulaga; Theresa Guerin; Jerome Schlomer; Maureen Baran; Serguei Kozlov; Thomas McCann; Salvador Mena; Fatima Al-Shahrour; Danny Alexander; Kwok-Kin Wong; Terry Van Dyke
Journal:  Cancer Res       Date:  2012-09-11       Impact factor: 12.701

Review 9.  Genotyping and genomic profiling of non-small-cell lung cancer: implications for current and future therapies.

Authors:  Tianhong Li; Hsing-Jien Kung; Philip C Mack; David R Gandara
Journal:  J Clin Oncol       Date:  2013-02-11       Impact factor: 44.544

10.  Development of new mouse lung tumor models expressing EGFR T790M mutants associated with clinical resistance to kinase inhibitors.

Authors:  Lucia Regales; Marissa N Balak; Yixuan Gong; Katerina Politi; Ayana Sawai; Carl Le; Jason A Koutcher; David B Solit; Neal Rosen; Maureen F Zakowski; William Pao
Journal:  PLoS One       Date:  2007-08-29       Impact factor: 3.240

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  3 in total

1.  Novel patient-derived xenograft mouse model for pancreatic acinar cell carcinoma demonstrates single agent activity of oxaliplatin.

Authors:  Jason C Hall; Laura A Marlow; Adam C Mathias; Louis K Dawson; William F Durham; Kenneth A Meshaw; Robert J Mullin; Aidan J Synnott; Daniel L Small; Murli Krishna; Daniel von Hoff; Julia Schüler; Steven N Hart; Fergus J Couch; Gerardo Colon-Otero; John A Copland
Journal:  J Transl Med       Date:  2016-05-10       Impact factor: 5.531

Review 2.  Targeting LKB1 in cancer - exposing and exploiting vulnerabilities.

Authors:  M Momcilovic; D B Shackelford
Journal:  Br J Cancer       Date:  2015-07-21       Impact factor: 7.640

3.  Targeting and Regulating of an Oncogene via Nanovector Delivery of MicroRNA using Patient-Derived Xenografts.

Authors:  Shuyang Sun; Yilong Wang; Rong Zhou; Zicheng Deng; Yong Han; Xiao Han; Wenjie Tao; Zi Yang; Chaoji Shi; Duo Hong; Jiang Li; Donglu Shi; Zhiyuan Zhang
Journal:  Theranostics       Date:  2017-01-15       Impact factor: 11.556

  3 in total

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