E-MEXP-979 - Transcription profiling of ovarium cancer samples from patients with tumors of different stages and sensitivity to platinum chemotherapy treatment

Status
Submitted on 25 January 2007, released on 10 February 2007, last updated on 3 May 2014
Organism
Homo sapiens
Samples (23)
Array (1)
Protocols (11)
Description
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.
KEYWORDS: clinical, FIGO stage, microarrays, ovarian cancer, platin resistance.
Experiment types
transcription profiling by array, co-expression, disease state
Contact
Citation
Predicting the clinical behaviour of ovarian cancer from gene expression profiles. 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. Int J Gynecol Cancer 16:147-151 (2006)
MIAME
PlatformsProtocolsVariablesProcessedRaw
Files
Investigation descriptionE-MEXP-979.idf.txt
Sample and data relationshipE-MEXP-979.sdrf.txt
Raw data (1)E-MEXP-979.raw.1.zip
Processed data (1)E-MEXP-979.processed.1.zip
Array designA-MEXP-146.adf.txt
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