Journal article
Comparison of gene expression patterns between avian and human ovarian cancers
Gynecologic Oncology, Vol.120(2), pp.256-264
02/2011
DOI: 10.1016/j.ygyno.2010.10.030
PMID: 21093898
Abstract
A putative model of spontaneous cancer has been described in the laying hen that bears significant similarities to human ovarian cancer. Our objective was to characterize and compare the patterns of gene expression in chicken and human forms of this disease. RNA from 20 localized and metastatic ovarian and oviductal chicken tumor samples was isolated, amplified using in vitro transcription, and hybridized against normal ovarian epithelium to a customized cDNA microarray constructed for these studies. Differentially expressed genes were identified for localized ovarian, metastatic ovarian, and oviductal (or tubal) cancer by class comparison using BRB-ArrayTools. Results were validated with semi-quantitative PCR. A gene list (prediction model) constructed with the class prediction tool was used in a human ovarian cancer microarray obtained from the GEO datasets (GSE6008) in order to compare these results across species. Class comparison analysis between localized ovarian, metastatic ovarian and oviductal cancer yielded 41 different informative probes that coded for 27 unique genes. Localized ovarian samples clustered between metastatic ovarian and oviductal cancer samples. Using our chicken data as a training set and leaving oviductal samples out of the analysis, we created a prediction model that classified early stage and advanced stage human ovarian cancer gene expression arrays with 78% overall accuracy. Gene expression of spontaneous ovarian cancer in the chicken is comparable to gene expression patterns of human ovarian cancer. ► Avian tubal cancer and ovarian cancer gene expression patterns are different. ► Chicken ovarian cancer expression predicts expression patterns in human ovarian cancer.
Details
- Title: Subtitle
- Comparison of gene expression patterns between avian and human ovarian cancers
- Creators
- Jesus Gonzalez Bosquet - Gynecologic Oncology, Department of Women's Oncology, Moffitt Cancer and Research Center, Tampa, FL, USAAbraham Peedicayil - Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Mayo Clinic College of Medicine, Rochester, MN, USAJacie Maguire - Division of Experimental Pathology, Mayo Clinic College of Medicine, Rochester, MN, USAJeremy Chien - Division of Experimental Pathology, Mayo Clinic College of Medicine, Rochester, MN, USAGustavo C Rodriguez - Division of Gynecologic Oncology, NorthShore University HealthSystem, University of Chicago, USARegina Whitaker - Division of Gynecologic Oncology, Duke University Medical Center, Durham, NC, USAJames N Petitte - Department of Poultry Science, North Carolina State University, Raleigh, NC, USAKenneth E Anderson - Department of Poultry Science, North Carolina State University, Raleigh, NC, USAH. John Barnes - College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USAViji Shridhar - Division of Experimental Pathology, Mayo Clinic College of Medicine, Rochester, MN, USAWilliam A Cliby - Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Mayo Clinic College of Medicine, Rochester, MN, USA
- Resource Type
- Journal article
- Publication Details
- Gynecologic Oncology, Vol.120(2), pp.256-264
- Publisher
- Elsevier Inc
- DOI
- 10.1016/j.ygyno.2010.10.030
- PMID
- 21093898
- ISSN
- 0090-8258
- eISSN
- 1095-6859
- Language
- English
- Date published
- 02/2011
- Academic Unit
- Obstetrics and Gynecology
- Record Identifier
- 9983930279602771
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