Ontology highlight
ABSTRACT: Background
Epithelial ovarian cancer is characterized by multiple genomic alterations; most are passenger alterations which do not confer tumor growth. Like many cancers, it is a heterogeneous disease and can be broadly categorized into 4 main histotypes of clear cell, endometrioid, mucinous, and serous. To date, histotype-specific copy number alterations have been difficult to elucidate. The difficulty lies in having sufficient sample size in each histotype for statistical analyses.Methods
To dissect the heterogeneity of ovarian cancer and identify histotype-specific alterations, we used an in silico hypothesis-driven approach on multiple datasets of epithelial ovarian cancer.Results
In concordance with previous studies on global copy number alterations landscape,
SUBMITTER: Huang RY
PROVIDER: S-EPMC3567940 | biostudies-literature | 2012 Oct
REPOSITORIES: biostudies-literature