Comparison of gene expression patterns between avian and human ovarian cancers

Jesus Gonzalez Bosquet, Abraham Peedicayil, Jacie Maguire, Jeremy Chien, Gustavo C. Rodriguez, Regina Whitaker, James N. Petitte, Kenneth E. Anderson, H. John Barnes, Vijayalakshmi Shridhar, William Arthur Cliby

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Objectives: 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. Methods: 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. Results: 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. Conclusions: Gene expression of spontaneous ovarian cancer in the chicken is comparable to gene expression patterns of human ovarian cancer.

Original languageEnglish (US)
Pages (from-to)256-264
Number of pages9
JournalGynecologic Oncology
Volume120
Issue number2
DOIs
StatePublished - Feb 2011

Fingerprint

Ovarian Neoplasms
Gene Expression
Chickens
Genes
Neoplasms
Neoplasm Genes
Oligonucleotide Array Sequence Analysis
Epithelium
RNA
Polymerase Chain Reaction

Keywords

  • Animal model
  • Avian
  • Gene expresion
  • Ovarian cancer

ASJC Scopus subject areas

  • Obstetrics and Gynecology
  • Oncology

Cite this

Gonzalez Bosquet, J., Peedicayil, A., Maguire, J., Chien, J., Rodriguez, G. C., Whitaker, R., ... Cliby, W. A. (2011). Comparison of gene expression patterns between avian and human ovarian cancers. Gynecologic Oncology, 120(2), 256-264. https://doi.org/10.1016/j.ygyno.2010.10.030

Comparison of gene expression patterns between avian and human ovarian cancers. / Gonzalez Bosquet, Jesus; Peedicayil, Abraham; Maguire, Jacie; Chien, Jeremy; Rodriguez, Gustavo C.; Whitaker, Regina; Petitte, James N.; Anderson, Kenneth E.; Barnes, H. John; Shridhar, Vijayalakshmi; Cliby, William Arthur.

In: Gynecologic Oncology, Vol. 120, No. 2, 02.2011, p. 256-264.

Research output: Contribution to journalArticle

Gonzalez Bosquet, J, Peedicayil, A, Maguire, J, Chien, J, Rodriguez, GC, Whitaker, R, Petitte, JN, Anderson, KE, Barnes, HJ, Shridhar, V & Cliby, WA 2011, 'Comparison of gene expression patterns between avian and human ovarian cancers', Gynecologic Oncology, vol. 120, no. 2, pp. 256-264. https://doi.org/10.1016/j.ygyno.2010.10.030
Gonzalez Bosquet J, Peedicayil A, Maguire J, Chien J, Rodriguez GC, Whitaker R et al. Comparison of gene expression patterns between avian and human ovarian cancers. Gynecologic Oncology. 2011 Feb;120(2):256-264. https://doi.org/10.1016/j.ygyno.2010.10.030
Gonzalez Bosquet, Jesus ; Peedicayil, Abraham ; Maguire, Jacie ; Chien, Jeremy ; Rodriguez, Gustavo C. ; Whitaker, Regina ; Petitte, James N. ; Anderson, Kenneth E. ; Barnes, H. John ; Shridhar, Vijayalakshmi ; Cliby, William Arthur. / Comparison of gene expression patterns between avian and human ovarian cancers. In: Gynecologic Oncology. 2011 ; Vol. 120, No. 2. pp. 256-264.
@article{2ad58e206a2f4425bf0bf7d23e8292db,
title = "Comparison of gene expression patterns between avian and human ovarian cancers",
abstract = "Objectives: 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. Methods: 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. Results: 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. Conclusions: Gene expression of spontaneous ovarian cancer in the chicken is comparable to gene expression patterns of human ovarian cancer.",
keywords = "Animal model, Avian, Gene expresion, Ovarian cancer",
author = "{Gonzalez Bosquet}, Jesus and Abraham Peedicayil and Jacie Maguire and Jeremy Chien and Rodriguez, {Gustavo C.} and Regina Whitaker and Petitte, {James N.} and Anderson, {Kenneth E.} and Barnes, {H. John} and Vijayalakshmi Shridhar and Cliby, {William Arthur}",
year = "2011",
month = "2",
doi = "10.1016/j.ygyno.2010.10.030",
language = "English (US)",
volume = "120",
pages = "256--264",
journal = "Gynecologic Oncology",
issn = "0090-8258",
publisher = "Academic Press Inc.",
number = "2",

}

TY - JOUR

T1 - Comparison of gene expression patterns between avian and human ovarian cancers

AU - Gonzalez Bosquet, Jesus

AU - Peedicayil, Abraham

AU - Maguire, Jacie

AU - Chien, Jeremy

AU - Rodriguez, Gustavo C.

AU - Whitaker, Regina

AU - Petitte, James N.

AU - Anderson, Kenneth E.

AU - Barnes, H. John

AU - Shridhar, Vijayalakshmi

AU - Cliby, William Arthur

PY - 2011/2

Y1 - 2011/2

N2 - Objectives: 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. Methods: 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. Results: 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. Conclusions: Gene expression of spontaneous ovarian cancer in the chicken is comparable to gene expression patterns of human ovarian cancer.

AB - Objectives: 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. Methods: 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. Results: 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. Conclusions: Gene expression of spontaneous ovarian cancer in the chicken is comparable to gene expression patterns of human ovarian cancer.

KW - Animal model

KW - Avian

KW - Gene expresion

KW - Ovarian cancer

UR - http://www.scopus.com/inward/record.url?scp=79251593422&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79251593422&partnerID=8YFLogxK

U2 - 10.1016/j.ygyno.2010.10.030

DO - 10.1016/j.ygyno.2010.10.030

M3 - Article

C2 - 21093898

AN - SCOPUS:79251593422

VL - 120

SP - 256

EP - 264

JO - Gynecologic Oncology

JF - Gynecologic Oncology

SN - 0090-8258

IS - 2

ER -