Imperial College London

DrEuanStronach

Faculty of MedicineDepartment of Surgery & Cancer

Honorary Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 1548e.stronach

 
 
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Location

 

LaboratoriesInstitute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Cunnea:2014:10.3389/fonc.2014.00081,
author = {Cunnea, P and Stronach, EA},
doi = {10.3389/fonc.2014.00081},
journal = {Frontiers in Oncology},
title = {Modeling platinum sensitive and resistant high-grade serous ovarian cancer: development and applications of experimental systems},
url = {http://dx.doi.org/10.3389/fonc.2014.00081},
volume = {4},
year = {2014}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - High-grade serous ovarian cancer remains the most common sub-type of ovarian cancer and, characterized by high degrees of genomic instability and heterogeneity, is typified by a transition from early response to acquired resistance to platinum-based chemotherapy. Conventional models for the study of ovarian cancer have been largely limited to a set of relatively poorly characterized immortalized cell lines and recent studies have called into question the validity of some of these as reliable models. Here, we review new approaches and models systems that take into account advances in our understanding of ovarian cancer biology and advances in the technology available for their generation and study. We discuss primary cell models, 2D, 3D, and organotypic models, and "paired" sample approaches that capture the evolution of chemotherapy failure within single cases. We also overview new methods for non-invasive collection of representative tumor material from blood samples. Adoption of such methods and models will improve the quality and clinical relevance of ovarian cancer research.
AU - Cunnea,P
AU - Stronach,EA
DO - 10.3389/fonc.2014.00081
PY - 2014///
SN - 2234-943X
TI - Modeling platinum sensitive and resistant high-grade serous ovarian cancer: development and applications of experimental systems
T2 - Frontiers in Oncology
UR - http://dx.doi.org/10.3389/fonc.2014.00081
UR - http://hdl.handle.net/10044/1/31162
VL - 4
ER -