Literature DB >> 26124487

Clinical Utility of Patient-Derived Xenografts to Determine Biomarkers of Prognosis and Map Resistance Pathways in EGFR-Mutant Lung Adenocarcinoma.

Erin L Stewart1, Celine Mascaux1, Nhu-An Pham1, Shingo Sakashita1, Jenna Sykes1, Lucia Kim1, Naoki Yanagawa1, Ghassan Allo1, Kota Ishizawa1, Dennis Wang1, Chang-Qi Zhu1, Ming Li1, Christine Ng1, Ni Liu1, Melania Pintilie1, Petra Martin1, Tom John1, Igor Jurisica1, Natasha B Leighl1, Benjamin G Neel1, Thomas K Waddell1, Frances A Shepherd1, Geoffrey Liu1, Ming-Sound Tsao2.   

Abstract

PURPOSE: Although epidermal growth factor receptor (EGFR) -mutated adenocarcinomas initially have high response rates to EGFR tyrosine kinase inhibitors (TKIs), most patients eventually develop resistance. Patient-derived xenografts (PDXs) are considered preferred preclinical models to study the biology of patient tumors. EGFR-mutant PDX models may be valuable tools to study the biology of these tumors and to elucidate mechanisms of resistance to EGFR-targeted therapies.
METHODS: Surgically resected early-stage non-small-cell lung carcinoma (NSCLC) tumors were implanted into nonobese diabetic severe combined immune deficient (NOD-SCID) mice. EGFR TKI treatment was initiated at tumor volumes of 150 μL. Gene expression analysis was performed using a microarray platform.
RESULTS: Of 33 lung adenocarcinomas with EGFR activating mutations, only 6 (18%) engrafted and could be propagated beyond passage one. Engraftment was associated with upregulation of genes involved in mitotic checkpoint and cell proliferation. A differentially expressed gene set between engrafting and nonengrafting patients could identify patients harboring EGFR-mutant tumor with significantly different prognoses in The Cancer Genome Atlas Lung Adenocarcinoma datasets. The PDXs included models with variable sensitivity to first- and second-generation EGFR TKIs and the monoclonal antibody cetuximab. All EGFR-mutant NSCLC PDXs studied closely recapitulated their corresponding patient tumor phenotype and clinical course, including response pattern to EGFR TKIs.
CONCLUSION: PDX models closely recapitulate primary tumor biology and clinical outcome. They may serve as important laboratory models to investigate mechanisms of resistance to targeted therapies, and for preclinical testing of novel treatment strategies.
© 2015 by American Society of Clinical Oncology.

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Year:  2015        PMID: 26124487     DOI: 10.1200/JCO.2014.60.1492

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  33 in total

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2.  Xenograft-based, platform-independent gene signatures to predict response to alkylating chemotherapy, radiation, and combination therapy for glioblastoma.

Authors:  Shuang G Zhao; Menggang Yu; Daniel E Spratt; S Laura Chang; Felix Y Feng; Michelle M Kim; Corey W Speers; Brett L Carlson; Ann C Mladek; Theodore S Lawrence; Jann N Sarkaria; Daniel R Wahl
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3.  Tumor characteristics associated with engraftment of patient-derived non-small cell lung cancer xenografts in immunocompromised mice.

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Journal:  Cancer       Date:  2019-07-09       Impact factor: 6.860

Review 4.  From Mice to Men and Back: An Assessment of Preclinical Model Systems for the Study of Lung Cancers.

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Review 8.  Clinical Outcomes of TP53 Mutations in Cancers.

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Journal:  Cold Spring Harb Perspect Med       Date:  2016-09-01       Impact factor: 6.915

9.  A Proof of Concept for Biomarker-Guided Targeted Therapy against Ovarian Cancer Based on Patient-Derived Tumor Xenografts.

Authors:  Adam C Palmer; Deborah Plana; Hui Gao; Juliet A Williams; Peter K Sorger; Joshua M Korn; Guizhi Yang; John Green; Xiamei Zhang; Roberto Velazquez; Margaret E McLaughlin; David A Ruddy; Colleen Kowal; Julie Muszynski; Caroline Bullock; Stacy Rivera; Daniel P Rakiec; GiNell Elliott; Paul Fordjour; Ronald Meyer; Alice Loo; Esther Kurth; Jeffrey A Engelman; Hans Bitter; William R Sellers
Journal:  Cancer Res       Date:  2020-08-03       Impact factor: 12.701

10.  mTOR inhibition overcomes primary and acquired resistance to Wee1 inhibition by augmenting replication stress in epithelial ovarian cancers.

Authors:  Fuxia Li; Ensong Guo; Jia Huang; Funian Lu; Bin Yang; Rourou Xiao; Chen Liu; Xue Wu; Yu Fu; Zizhuo Wang; Shaohua Peng; Yu Lei; Zhongzhen Guo; Lei Li; Ling Xi; Chaoyang Sun; Si Liu; Gang Chen
Journal:  Am J Cancer Res       Date:  2020-03-01       Impact factor: 6.166

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