Literature DB >> 24634382

Integrated next-generation sequencing and avatar mouse models for personalized cancer treatment.

Elena Garralda1, Keren Paz, Pedro P López-Casas, Siân Jones, Amanda Katz, Lisa M Kann, Fernando López-Rios, Francesca Sarno, Fátima Al-Shahrour, David Vasquez, Elizabeth Bruckheimer, Samuel V Angiuoli, Antonio Calles, Luis A Diaz, Victor E Velculescu, Alfonso Valencia, David Sidransky, Manuel Hidalgo.   

Abstract

BACKGROUND: Current technology permits an unbiased massive analysis of somatic genetic alterations from tumor DNA as well as the generation of individualized mouse xenografts (Avatar models). This work aimed to evaluate our experience integrating these two strategies to personalize the treatment of patients with cancer.
METHODS: We performed whole-exome sequencing analysis of 25 patients with advanced solid tumors to identify putatively actionable tumor-specific genomic alterations. Avatar models were used as an in vivo platform to test proposed treatment strategies.
RESULTS: Successful exome sequencing analyses have been obtained for 23 patients. Tumor-specific mutations and copy-number variations were identified. All samples profiled contained relevant genomic alterations. Tumor was implanted to create an Avatar model from 14 patients and 10 succeeded. Occasionally, actionable alterations such as mutations in NF1, PI3KA, and DDR2 failed to provide any benefit when a targeted drug was tested in the Avatar and, accordingly, treatment of the patients with these drugs was not effective. To date, 13 patients have received a personalized treatment and 6 achieved durable partial remissions. Prior testing of candidate treatments in Avatar models correlated with clinical response and helped to select empirical treatments in some patients with no actionable mutations.
CONCLUSION: The use of full genomic analysis for cancer care is encouraging but presents important challenges that will need to be solved for broad clinical application. Avatar models are a promising investigational platform for therapeutic decision making. While limitations still exist, this strategy should be further tested. ©2014 AACR.

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Year:  2014        PMID: 24634382      PMCID: PMC4322867          DOI: 10.1158/1078-0432.CCR-13-3047

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


  24 in total

1.  Pilot study using molecular profiling of patients' tumors to find potential targets and select treatments for their refractory cancers.

Authors:  Daniel D Von Hoff; Joseph J Stephenson; Peter Rosen; David M Loesch; Mitesh J Borad; Stephen Anthony; Gayle Jameson; Susan Brown; Nina Cantafio; Donald A Richards; Tom R Fitch; Ernesto Wasserman; Cristian Fernandez; Sylvan Green; William Sutherland; Michael Bittner; Arlet Alarcon; David Mallery; Robert Penny
Journal:  J Clin Oncol       Date:  2010-10-04       Impact factor: 44.544

2.  Prioritizing phase I treatment options through preclinical testing on personalized tumorgraft.

Authors:  M Pia Morelli; Emiliano Calvo; Esther Ordoñez; Michael J Wick; Belen-Rubio Viqueira; Pedro P Lopez-Casas; Elizabeth Bruckheimer; Antonio Calles-Blanco; David Sidransky; Manuel Hidalgo
Journal:  J Clin Oncol       Date:  2011-12-19       Impact factor: 44.544

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

Authors:  Belen Rubio-Viqueira; Antonio Jimeno; George Cusatis; Xianfeng Zhang; Christine Iacobuzio-Donahue; Collins Karikari; Chanjusn Shi; Kathleen Danenberg; Peter V Danenberg; Hidekazu Kuramochi; Koji Tanaka; Sharat Singh; Hossein Salimi-Moosavi; Nadia Bouraoud; Maria L Amador; Soner Altiok; Piotr Kulesza; Charles Yeo; Wells Messersmith; James Eshleman; Ralph H Hruban; Anirban Maitra; Manuel Hidalgo
Journal:  Clin Cancer Res       Date:  2006-08-01       Impact factor: 12.531

4.  A feasibility and efficacy study of rapamycin and erlotinib for recurrent pediatric low-grade glioma (LGG).

Authors:  Michal Yalon; Brian Rood; Tobey J MacDonald; Geoff McCowage; Rochelle Kane; Shlomi Constantini; Roger J Packer
Journal:  Pediatr Blood Cancer       Date:  2012-03-20       Impact factor: 3.167

5.  Personalizing cancer treatment in the age of global genomic analyses: PALB2 gene mutations and the response to DNA damaging agents in pancreatic cancer.

Authors:  Maria C Villarroel; N V Rajeshkumar; Ignacio Garrido-Laguna; Ana De Jesus-Acosta; Siân Jones; Anirban Maitra; Ralph H Hruban; James R Eshleman; Alison Klein; Daniel Laheru; Ross Donehower; Manuel Hidalgo
Journal:  Mol Cancer Ther       Date:  2010-12-06       Impact factor: 6.261

Review 6.  Clonal evolution in cancer.

Authors:  Mel Greaves; Carlo C Maley
Journal:  Nature       Date:  2012-01-18       Impact factor: 49.962

7.  Mutations in the DDR2 kinase gene identify a novel therapeutic target in squamous cell lung cancer.

Authors:  Peter S Hammerman; Martin L Sos; Alex H Ramos; Chunxiao Xu; Amit Dutt; Wenjun Zhou; Lear E Brace; Brittany A Woods; Wenchu Lin; Jianming Zhang; Xianming Deng; Sang Min Lim; Stefanie Heynck; Martin Peifer; Jeffrey R Simard; Michael S Lawrence; Robert C Onofrio; Helga B Salvesen; Danila Seidel; Thomas Zander; Johannes M Heuckmann; Alex Soltermann; Holger Moch; Mirjam Koker; Frauke Leenders; Franziska Gabler; Silvia Querings; Sascha Ansén; Elisabeth Brambilla; Christian Brambilla; Philippe Lorimier; Odd Terje Brustugun; Aslaug Helland; Iver Petersen; Joachim H Clement; Harry Groen; Wim Timens; Hannie Sietsma; Erich Stoelben; Jürgen Wolf; David G Beer; Ming Sound Tsao; Megan Hanna; Charles Hatton; Michael J Eck; Pasi A Janne; Bruce E Johnson; Wendy Winckler; Heidi Greulich; Adam J Bass; Jeonghee Cho; Daniel Rauh; Nathanael S Gray; Kwok-Kin Wong; Eric B Haura; Roman K Thomas; Matthew Meyerson
Journal:  Cancer Discov       Date:  2011-06       Impact factor: 39.397

8.  Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.

Authors:  Marco Gerlinger; Andrew J Rowan; Stuart Horswell; James Larkin; David Endesfelder; Eva Gronroos; Pierre Martinez; Nicholas Matthews; Aengus Stewart; Charles Swanton; M Math; Patrick Tarpey; Ignacio Varela; Benjamin Phillimore; Sharmin Begum; Neil Q McDonald; Adam Butler; David Jones; Keiran Raine; Calli Latimer; Claudio R Santos; Mahrokh Nohadani; Aron C Eklund; Bradley Spencer-Dene; Graham Clark; Lisa Pickering; Gordon Stamp; Martin Gore; Zoltan Szallasi; Julian Downward; P Andrew Futreal
Journal:  N Engl J Med       Date:  2012-03-08       Impact factor: 91.245

Review 9.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

Review 10.  Getting personalized cancer genome analysis into the clinic: the challenges in bioinformatics.

Authors:  Alfonso Valencia; Manuel Hidalgo
Journal:  Genome Med       Date:  2012-07-30       Impact factor: 11.117

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  55 in total

Review 1.  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 2.  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

3.  Near Infrared Photoimmunotherapy in a Transgenic Mouse Model of Spontaneous Epidermal Growth Factor Receptor (EGFR)-expressing Lung Cancer.

Authors:  Yuko Nakamura; Zoe Weaver Ohler; Deborah Householder; Tadanobu Nagaya; Kazuhide Sato; Shuhei Okuyama; Fusa Ogata; Dagane Daar; Tieu Hoa; Peter L Choyke; Hisataka Kobayashi
Journal:  Mol Cancer Ther       Date:  2016-11-15       Impact factor: 6.261

Review 4.  Opportunities and challenges provided by crosstalk between signalling pathways in cancer.

Authors:  A Prahallad; R Bernards
Journal:  Oncogene       Date:  2015-05-18       Impact factor: 9.867

Review 5.  Model organism data evolving in support of translational medicine.

Authors:  Douglas G Howe; Judith A Blake; Yvonne M Bradford; Carol J Bult; Brian R Calvi; Stacia R Engel; James A Kadin; Thomas C Kaufman; Ranjana Kishore; Stanley J F Laulederkind; Suzanna E Lewis; Sierra A T Moxon; Joel E Richardson; Cynthia Smith
Journal:  Lab Anim (NY)       Date:  2018-09-17       Impact factor: 12.625

6.  Microfluidic device for expedited tumor growth towards drug evaluation.

Authors:  Christopher George Uhl; Yaling Liu
Journal:  Lab Chip       Date:  2019-04-09       Impact factor: 6.799

7.  Patient-derived xenograft platform of OSCC: a renewable human bio-bank for preclinical cancer research and a new co-clinical model for treatment optimization.

Authors:  Shuyang Sun; Zhiyuan Zhang
Journal:  Front Med       Date:  2016-02-29       Impact factor: 4.592

Review 8.  Prioritizing therapeutic targets using patient-derived xenograft models.

Authors:  K A Lodhia; A M Hadley; P Haluska; C L Scott
Journal:  Biochim Biophys Acta       Date:  2015-03-14

9.  Mice engrafted with human hematopoietic stem cells support a human myeloid cell inflammatory response in vivo.

Authors:  Andrew Baird; Chenliang Deng; Matthew H Eliceiri; Fatima Haghi; Xitong Dang; Raul Coimbra; Todd W Costantini; Bruce E Torbett; Brian P Eliceiri
Journal:  Wound Repair Regen       Date:  2016-10-04       Impact factor: 3.617

10.  Differentiation of tumor vasculature heterogeneity levels in small animals based on total hemoglobin concentration using magnetic resonance-guided diffuse optical tomography in vivo.

Authors:  Tiffany C Kwong; Mitchell Hsing; Yuting Lin; David Thayer; Mehmet Burcin Unlu; Min-Ying Su; Gultekin Gulsen
Journal:  Appl Opt       Date:  2016-07-20       Impact factor: 1.980

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