Title: Predicting the clinical behavior of ovarian cancer from gene expression profiles
Authors: De Smet, Frank ×
Pochet, Nathalie
Engelen, Kristof
Van Gorp, T
Van Hummelen, Paul
Marchal, Kathleen
Amant, Frédéric
Timmerman, Dirk
De Moor, Bart
Vergote, Ignace #
Issue Date: Mar-2006
Series Title: International Journal of Gynecological Cancer vol:16 pages:147-151
Abstract: We investigated whether prognostic information is reflected in the expression patterns of ovarian carcinoma samples. RNA obtained from seven FIGO stage I without recurrence, seven platin-sensitive advanced-stage (III or IV), and six platin-resistant advanced-stage ovarian tumors was hybridized on a complementary DNA microarray with 21,372 spotted clones. The results revealed that a considerable number of genes exhibit nonaccidental differential expression between the different tumor classes. Principal component analysis reflected the differences between the three tumor classes and their order of transition. Using a leave-one-out approach together with least squares support vector machines, we obtained an estimated classification test accuracy of 100% for the distinction between stage I and advanced-stage disease and 76.92% for the distinction between platin-resistant versus platin-sensitive disease in FIGO stage III/IV. These results indicate that gene expression patterns could be useful in clinical management of ovarian cancer.
ISSN: 1048-891X
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Centre of Microbial and Plant Genetics
Vesalius Research Centre (-)
Basic Research in Gynaecology Section (-)
Gynaecological Oncology
Electrical Engineering - miscellaneous
Environment and Health - miscellaneous
× corresponding author
# (joint) last author

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