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Abstract 38: Using molecularly characterized patient-derived models to delineate underlying drivers and vulnerabilities of epithelial ovarian cancer

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Year: 2014
Type: conference-abstract
Source: Cancer Research
DOI: 10.1158/1538-7445.cansusc14-38
Authors: Monique D. Topp, Lynne Hartley, Michele Cook, Valerie Heong, Emma Boehm, Lauren McShane, Jan Pyman, Orla McNally, Sumi Ananda, Maria I. Harell, Dariush Etemadmoghadam, Laura Galletta, Kathryn Alsop, Gillian Mitchell, Stephen B. Fox, Jeff B. Kerr, Karla J. Hutt, Scott H. Kaufmann, Australian Ovarian Cancer Study (AOCS), Elizabeth M. Swisher, David D. Bowtell, Matthew M. Wakefield, Clare L. Scott
Institutions: Walter and Eliza Hall Institute of Medical Research, Monash University, Royal Women's Hospital, The University of Melbourne, University of Washington, Peter MacCallum Cancer Centre, Mayo Clinic
Language: English

Topic: Ovarian cancer diagnosis and treatment
Subfield: Reproductive Medicine
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W2058017933
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Related to: 10
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