Uncovering potential biomarkers in ovarian carcinoma via biclustering of DNA microarray data

Alain B. Tchagang, Ahmed H. Tewfik, Amy P Skubitz, Keith M Skubitz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The NIH/NCI estimates that one out of 57 women will develop ovarian cancer during their lifetime. Ovarian cancer is 90 percent curable when detected early. Unfortunately, many cases of ovarian cancer are not diagnosed until advanced stages because most women do not develop noticeable symptoms. This paper presents an exhaustive identification of all potential biomarkers for the diagnosis of early-stage and/or recurrent ovarian cancer using a unique and comprehensive set of gene expression data. The data set was generated by Gene Logic Inc. from ovarian normal and cancerous tissues as well as non-ovarian tissues collected at the University of Minnesota by Skubitz et al. In particular, the paper shows the ability of a modified biclustering technique combined with sensitivity analysis of gene expression levels to identify all potential biomarkers found by prior studies as well as several more promising candidates that had been missed in the literature. Furthermore, unlike most prior studies, this work screens all candidate biomarkers using two additional techniques: immunohistochemical analysis and reverse transcriptase polymerase chain reaction.

Original languageEnglish (US)
Title of host publication2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006
Pages107-108
Number of pages2
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006 - College Station, TX, United States
Duration: May 28 2006May 30 2006

Other

Other2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006
CountryUnited States
CityCollege Station, TX
Period5/28/065/30/06

Fingerprint

Biclustering
Ovarian Cancer
DNA Microarray
Biomarkers
Microarrays
Microarray Data
Oligonucleotide Array Sequence Analysis
Ovarian Neoplasms
DNA
Carcinoma
Gene expression
Tissue
Polymerase chain reaction
RNA-Directed DNA Polymerase
Gene Expression
Sensitivity analysis
Polymerase Chain Reaction
Gene Expression Data
Genes
Reverse Transcriptase Polymerase Chain Reaction

Cite this

Tchagang, A. B., Tewfik, A. H., Skubitz, A. P., & Skubitz, K. M. (2006). Uncovering potential biomarkers in ovarian carcinoma via biclustering of DNA microarray data. In 2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006 (pp. 107-108). [4161800] https://doi.org/10.1109/GENSIPS.2006.353179

Uncovering potential biomarkers in ovarian carcinoma via biclustering of DNA microarray data. / Tchagang, Alain B.; Tewfik, Ahmed H.; Skubitz, Amy P; Skubitz, Keith M.

2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006. 2006. p. 107-108 4161800.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tchagang, AB, Tewfik, AH, Skubitz, AP & Skubitz, KM 2006, Uncovering potential biomarkers in ovarian carcinoma via biclustering of DNA microarray data. in 2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006., 4161800, pp. 107-108, 2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006, College Station, TX, United States, 5/28/06. https://doi.org/10.1109/GENSIPS.2006.353179
Tchagang AB, Tewfik AH, Skubitz AP, Skubitz KM. Uncovering potential biomarkers in ovarian carcinoma via biclustering of DNA microarray data. In 2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006. 2006. p. 107-108. 4161800 https://doi.org/10.1109/GENSIPS.2006.353179
Tchagang, Alain B. ; Tewfik, Ahmed H. ; Skubitz, Amy P ; Skubitz, Keith M. / Uncovering potential biomarkers in ovarian carcinoma via biclustering of DNA microarray data. 2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006. 2006. pp. 107-108
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