Document Detail


Predicting the clinical behavior of ovarian cancer from gene expression profiles.
MedLine Citation:
PMID:  16515583     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
F De Smet; N L M M Pochet; K Engelen; T Van Gorp; P Van Hummelen; K Marchal; F Amant; D Timmerman; B L R De Moor; I B Vergote
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  International journal of gynecological cancer : official journal of the International Gynecological Cancer Society     Volume:  16 Suppl 1     ISSN:  1048-891X     ISO Abbreviation:  Int. J. Gynecol. Cancer     Publication Date:    2006 Jan-Feb
Date Detail:
Created Date:  2006-03-06     Completed Date:  2006-07-26     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9111626     Medline TA:  Int J Gynecol Cancer     Country:  United States    
Other Details:
Languages:  eng     Pagination:  147-51     Citation Subset:  IM    
Affiliation:
Department of Electrical Engineering ESAT-SCD, K.U.Leuven, Leuven-Heverlee, Belgium.
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MeSH Terms
Descriptor/Qualifier:
Adenocarcinoma / drug therapy,  genetics*,  pathology*
Adult
Aged
Aged, 80 and over
Antineoplastic Agents / therapeutic use
Drug Resistance, Neoplasm
Female
Gene Expression Profiling
Humans
Middle Aged
Neoplasm Staging
Oligonucleotide Array Sequence Analysis
Ovarian Neoplasms / drug therapy,  genetics*,  pathology*
Platinum Compounds / therapeutic use
Predictive Value of Tests
Chemical
Reg. No./Substance:
0/Antineoplastic Agents; 0/Platinum Compounds

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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