Journal article

Identification of Candidate Growth Promoting Genes in Ovarian Cancer through Integrated Copy Number and Expression Analysis

Manasa Ramakrishna, Louise H Williams, Samantha E Boyle, Jennifer L Bearfoot, Anita Sridhar, Terence P Speed, Kylie L Gorringe, Ian G Campbell



Ovarian cancer is a disease characterised by complex genomic rearrangements but the majority of the genes that are the target of these alterations remain unidentified. Cataloguing these target genes will provide useful insights into the disease etiology and may provide an opportunity to develop novel diagnostic and therapeutic interventions. High resolution genome wide copy number and matching expression data from 68 primary epithelial ovarian carcinomas of various histotypes was integrated to identify genes in regions of most frequent amplification with the strongest correlation with expression and copy number. Regions on chromosomes 3, 7, 8, and 20 were most frequently increased in copy nu..

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Awarded by National Health and Medical Research Council (NHMRC) of Australia

Funding Acknowledgements

MR is supported by the Cancer Council Victoria Postgraduate Scholarship. This work is funded by a grant from the National Health and Medical Research Council (NHMRC) of Australia (ID: 566603). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.