Literature DB >> 24204193

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

Mike Mattie1, 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.   

Abstract

Preclinical evaluation of novel cancer agents requires models that accurately reflect the biology and molecular characteristics of human tumors. Molecular profiles of eight pancreatic ductal adenocarcinoma patient tumors were compared to corresponding passages of xenografts obtained by grafting tumor fragments into immunocompromised mice. Molecular characterization was performed by copy number analysis, gene expression and microRNA microarrays, mutation analysis, short tandem repeat (STR) profiling, and immunohistochemistry. Xenografts were found to be highly representative of their respective tumors, with a high degree of genetic stability observed by STR profiling and mutation analysis. Copy number variation (CNV) profiles of early and late xenograft passages were similar, with recurrent losses on chromosomes 1p, 3p, 4q, 6, 8p, 9, 10, 11q, 12p, 15q, 17, 18, 20p, and 21 and gains on 1q, 5p, 8q, 11q, 12q, 13q, 19q, and 20q. Pearson correlations of gene expression profiles of tumors and xenograft passages were above 0.88 for all models. Gene expression patterns between early and late passage xenografts were highly stable for each individual model. Changes observed in xenograft passages largely corresponded to human stromal compartment genes and inflammatory processes. While some differences exist between the primary tumors and corresponding xenografts, the molecular profiles remain stable after extensive passaging. Evidence for stability in molecular characteristics after several rounds of passaging lends confidence to clinical relevance and allows for expansion of models to generate the requisite number of animals required for cohorts used in drug screening and development studies.

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Year:  2013        PMID: 24204193      PMCID: PMC3819630          DOI: 10.1593/neo.13922

Source DB:  PubMed          Journal:  Neoplasia        ISSN: 1476-5586            Impact factor:   5.715


  50 in total

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2.  An in vivo platform for translational drug development in pancreatic cancer.

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Journal:  Clin Cancer Res       Date:  2006-08-01       Impact factor: 12.531

3.  Glutathione S-transferase P1 c.313A > G polymorphism could be useful in the prediction of doxorubicin response in breast cancer patients.

Authors:  A Romero; M Martín; B Oliva; J de la Torre; V Furio; M de la Hoya; J A García-Sáenz; A Moreno; J M Román; E Diaz-Rubio; T Caldés
Journal:  Ann Oncol       Date:  2011-11-02       Impact factor: 32.976

4.  Tumor engraftment in nude mice and enrichment in stroma- related gene pathways predict poor survival and resistance to gemcitabine in patients with pancreatic cancer.

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Journal:  Clin Cancer Res       Date:  2011-07-08       Impact factor: 12.531

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

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7.  MicroRNA expression patterns to differentiate pancreatic adenocarcinoma from normal pancreas and chronic pancreatitis.

Authors:  Mark Bloomston; Wendy L Frankel; Fabio Petrocca; Stefano Volinia; Hansjuerg Alder; John P Hagan; Chang-Gong Liu; Darshna Bhatt; Cristian Taccioli; Carlo M Croce
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9.  Genome-wide characterization of pancreatic adenocarcinoma patients using next generation sequencing.

Authors:  Winnie S Liang; David W Craig; John Carpten; Mitesh J Borad; Michael J Demeure; Glen J Weiss; Tyler Izatt; Shripad Sinari; Alexis Christoforides; Jessica Aldrich; Ahmet Kurdoglu; Michael Barrett; Lori Phillips; Hollie Benson; Waibhav Tembe; Esteban Braggio; Jeffrey A Kiefer; Christophe Legendre; Richard Posner; Galen H Hostetter; Angela Baker; Jan B Egan; Haiyong Han; Douglas Lake; Edward C Stites; Ramesh K Ramanathan; Rafael Fonseca; A Keith Stewart; Daniel Von Hoff
Journal:  PLoS One       Date:  2012-10-10       Impact factor: 3.240

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Journal:  J Cell Mol Med       Date:  2008-02-24       Impact factor: 5.310

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  44 in total

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2.  Cancer subclonal genetic architecture as a key to personalized medicine.

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4.  Proteomic profiling of patient-derived glioblastoma xenografts identifies a subset with activated EGFR: implications for drug development.

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5.  Preclinical Evaluation of an Anti-Nectin-4 ImmunoPET Reagent in Tumor-Bearing Mice and Biodistribution Studies in Cynomolgus Monkeys.

Authors:  Dean O Campbell; Akihiro Noda; Alla Verlinsky; Josh Snyder; Yuji Fujita; Yoshihiro Murakami; Hiroshi Fushiki; Sosuke Miyoshi; Sergio Lacayo; Edward Cabral; Peng Yang; David R Stover; Ingrid B J K Joseph
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6.  Ovarian carcinoma patient derived xenografts reproduce their tumor of origin and preserve an oligoclonal structure.

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Review 7.  Pancreatic Cancer: Molecular Characterization, Clonal Evolution and Cancer Stem Cells.

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8.  Ex Vivo Testing of Patient-Derived Xenografts Mirrors the Clinical Outcome of Patients with Pancreatic Ductal Adenocarcinoma.

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Journal:  Clin Cancer Res       Date:  2016-06-03       Impact factor: 12.531

9.  Integrated Genomic Analysis of Pancreatic Ductal Adenocarcinomas Reveals Genomic Rearrangement Events as Significant Drivers of Disease.

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10.  KRAS and PIK3CA mutation frequencies in patient-derived xenograft models of pancreatic and colorectal cancer are reflective of patient tumors and stable across passages.

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