Literature DB >> 24685617

Genetically engineered mouse models for epithelial ovarian cancer: are we there yet?

Viive M Howell1.   

Abstract

The development of preclinical spontaneous genetically engineered mouse models (GEMMs) requires an understanding of the genetic basis of the human disease. Such robust models have proven invaluable for increasing understanding of human malignancies as well as identifying new biomarkers and testing new therapies for these diseases. While GEMMs have been reported for ovarian cancer, the majority have proven disappointing overall in their recapitulation of paired genetic and histological features especially for serous ovarian epithelial cancer. This review describes GEMMs for ovarian cancer, in particular, high grade serous ovarian cancer and assesses these in light of recent changes in our understanding of the human malignancy.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Endometrioid; Genetically engineered mouse; Mouse; Ovarian cancer; Serous; Transgenic

Mesh:

Year:  2014        PMID: 24685617     DOI: 10.1016/j.semcdb.2014.03.019

Source DB:  PubMed          Journal:  Semin Cell Dev Biol        ISSN: 1084-9521            Impact factor:   7.727


  8 in total

1.  High-grade serous carcinomas arise in the mouse oviduct via defects linked to the human disease.

Authors:  Yali Zhai; Rong Wu; Rork Kuick; Michael S Sessine; Stephanie Schulman; Megan Green; Eric R Fearon; Kathleen R Cho
Journal:  J Pathol       Date:  2017-07-25       Impact factor: 7.996

2.  Cell-type-specific enrichment of risk-associated regulatory elements at ovarian cancer susceptibility loci.

Authors:  Simon G Coetzee; Howard C Shen; Dennis J Hazelett; Kate Lawrenson; Karoline Kuchenbaecker; Jonathan Tyrer; Suhn K Rhie; Keren Levanon; Alison Karst; Ronny Drapkin; Susan J Ramus; Fergus J Couch; Kenneth Offit; Georgia Chenevix-Trench; Alvaro N A Monteiro; Antonis Antoniou; Matthew Freedman; Gerhard A Coetzee; Paul D P Pharoah; Houtan Noushmehr; Simon A Gayther
Journal:  Hum Mol Genet       Date:  2015-03-24       Impact factor: 6.150

Review 3.  Modelling Epithelial Ovarian Cancer in Mice: Classical and Emerging Approaches.

Authors:  Razia Zakarya; Viive M Howell; Emily K Colvin
Journal:  Int J Mol Sci       Date:  2020-07-07       Impact factor: 5.923

Review 4.  Preclinical models of epithelial ovarian cancer: practical considerations and challenges for a meaningful application.

Authors:  Alessandra Ciucci; Marianna Buttarelli; Anna Fagotti; Giovanni Scambia; Daniela Gallo
Journal:  Cell Mol Life Sci       Date:  2022-06-16       Impact factor: 9.207

Review 5.  Harnessing preclinical models for the interrogation of ovarian cancer.

Authors:  Tianyu Qin; Junpeng Fan; Funian Lu; Li Zhang; Chen Liu; Qiyue Xiong; Yang Zhao; Gang Chen; Chaoyang Sun
Journal:  J Exp Clin Cancer Res       Date:  2022-09-16

Review 6.  The Proteolytic Landscape of Ovarian Cancer: Applications in Nanomedicine.

Authors:  Cailin O'Connell; Sabrina VandenHeuvel; Aparna Kamat; Shreya Raghavan; Biana Godin
Journal:  Int J Mol Sci       Date:  2022-09-01       Impact factor: 6.208

Review 7.  Single and Multiple Gene Manipulations in Mouse Models of Human Cancer.

Authors:  Heather L Lehman; Douglas B Stairs
Journal:  Cancer Growth Metastasis       Date:  2015-07-13

Review 8.  Tumor-associated macrophages contribute to tumor progression in ovarian cancer.

Authors:  Emily K Colvin
Journal:  Front Oncol       Date:  2014-06-06       Impact factor: 6.244

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.