Literature DB >> 26408297

Molecular and clinical implementations of ovarian cancer mouse avatar models.

Amira A Zayed1, Sumithra J Mandrekar2, Paul Haluska3.   

Abstract

Innovation in oncology drug development has been hindered by lack of preclinical models that reliably predict clinical activity of novel therapies in cancer patients. Increasing desire for individualize treatment of patients with cancer has led to an increase in the use of patient-derived xenografts (PDX) engrafted into immune-compromised mice for preclinical modeling. Large numbers of tumor-specific PDX models have been established and proved to be powerful tools in pre-clinical testing. A subset of PDXs, referred to as Avatars, establish tumors in an orthotopic and treatment naïve fashion that may represent the most clinical relevant model of individual human cancers. This review will discuss ovarian cancer (OC) PDX models demonstrating the opportunities and limitations of these models in cancer drug development, and describe concepts of clinical trials design in Avatar guided therapy.

Entities:  

Keywords:  Ovarian cancer (OC); clinical trial design; model systems; patient-derived xenografts (PDX); personalized medicine; xenograft models

Mesh:

Year:  2015        PMID: 26408297      PMCID: PMC4750944          DOI: 10.3978/j.issn.2304-3865.2015.04.01

Source DB:  PubMed          Journal:  Chin Clin Oncol        ISSN: 2304-3865


  54 in total

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Journal:  Eur J Cancer       Date:  2004-04       Impact factor: 9.162

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  4 in total

Review 1.  Patient-derived xenografts for childhood solid tumors: a valuable tool to test new drugs and personalize treatments.

Authors:  P Zarzosa; N Navarro; I Giralt; C Molist; A Almazán-Moga; I Vidal; A Soriano; M F Segura; R Hladun; A Villanueva; S Gallego; J Roma
Journal:  Clin Transl Oncol       Date:  2016-10-07       Impact factor: 3.405

Review 2.  VSV based virotherapy in ovarian cancer: the past, the present and …future?

Authors:  Beata Urszula Orzechowska; Marcin Jędryka; Katarzyna Zwolińska; Rafał Matkowski
Journal:  J Cancer       Date:  2017-07-22       Impact factor: 4.207

3.  Protocol for the avatar acceptability study: a multiperspective cross-sectional study evaluating the acceptability of using patient-derived xenografts to guide personalised cancer care in Australia and New Zealand.

Authors:  Claire E Wakefield; Emma L Doolan; Joanna E Fardell; Christina Signorelli; Veronica F Quinn; Kathy F Tucker; Andrea F Patenaude; Glenn M Marshall; Richard B Lock; Gabrielle Georgiou; Richard J Cohn
Journal:  BMJ Open       Date:  2018-08-08       Impact factor: 2.692

4.  The Avatar Acceptability Study: Survivor, Parent and Community Willingness to Use Patient-Derived Xenografts to Personalize Cancer Care.

Authors:  C E Wakefield; E L Doolan; J E Fardell; C Signorelli; V F Quinn; K M Tucker; A F Patenaude; G M Marshall; R B Lock; G Georgiou; R J Cohn
Journal:  EBioMedicine       Date:  2018-10-29       Impact factor: 8.143

  4 in total

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