Title: The molecular genetic basis of ovarian cancer and its roadmap towards a better treatment
Authors: Despierre, Evelyn
Lambrechts, Diether
Neven, Patrick
Amant, Frédéric
Lambrechts, Sandrijne
Vergote, Ignace # ×
Issue Date: May-2010
Publisher: Academic Press
Series Title: Gynecologic Oncology vol:117 issue:2 pages:358-365
Abstract: OBJECTIVES: Ovarian cancer remains a major health problem for women. Although there is considerable clinico-pathological heterogeneity, the molecular genetic basis of ovarian cancer remains poorly understood. Recently, high-resolution genomic maps generated by genome-wide SNP analyses and novel sequencing technologies, have started to dissect the genetic basis of ovarian cancer. METHODS: Here, we will describe our first insights on how somatic mutations may contribute to the diagnostic re-classification of ovarian cancer. We will discuss how copy number alterations and epigenetic changes represent promising biomarkers to predict resistance to treatment in ovarian cancer, and will also highlight how some of the recently-discovered microRNAs might represent interesting therapeutic targets for ovarian cancer. RESULTS AND CONCLUSIONS: Future studies, such as the Cancer Genome Atlas Project, involving a large number of ovarian tumors and combining various high-throughput genetic technologies with sophisticated integrative bioinformatic analyses, will be required and are expected to fine-map the full genetic spectrum of ovarian cancer. It is hoped, however, that once the molecular genetic basis of ovarian cancer is understood, this will lead to better and personalized treatments for ovarian cancer.
ISSN: 0090-8258
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Vesalius Research Centre (-)
Gynaecological Oncology
Laboratory of Translational Genetics (Vesalius Research Center) (+)
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science