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Gene expression profiling of epithelial ovarian tumours correlated with malignant potential

BACKGROUND: Epithelial ovarian tumours exhibit a range of malignant potential, presenting distinct clinical phenotypes. Improved knowledge of gene expression changes and functional pathways associated with these clinical phenotypes may lead to new treatment targets, markers for early detection and a...

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Autores principales: Warrenfeltz, Susanne, Pavlik, Stephen, Datta, Susmita, Kraemer, Eileen T, Benigno, Benedict, McDonald, John F
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC524500/
https://www.ncbi.nlm.nih.gov/pubmed/15471544
http://dx.doi.org/10.1186/1476-4598-3-27
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author Warrenfeltz, Susanne
Pavlik, Stephen
Datta, Susmita
Kraemer, Eileen T
Benigno, Benedict
McDonald, John F
author_facet Warrenfeltz, Susanne
Pavlik, Stephen
Datta, Susmita
Kraemer, Eileen T
Benigno, Benedict
McDonald, John F
author_sort Warrenfeltz, Susanne
collection PubMed
description BACKGROUND: Epithelial ovarian tumours exhibit a range of malignant potential, presenting distinct clinical phenotypes. Improved knowledge of gene expression changes and functional pathways associated with these clinical phenotypes may lead to new treatment targets, markers for early detection and a better understanding of disease progression. RESULTS: Gene expression profiling (Affymetrix, U95Av2) was carried out on 18 ovarian tumours including benign adenomas, borderline adenocarcinomas of low malignant potential and malignant adenocarcinomas. Clustering the expression profiles of samples from patients not treated with chemotherapy prior to surgery effectively classified 92% of samples into their proper histopathological group. Some cancer samples from patients treated with chemotherapy prior to surgery clustered with the benign adenomas. Chemotherapy patients whose tumours exhibited benign-like expression patterns remained disease free for the duration of this study as indicated by continued normal serum CA-125 levels. Statistical analysis identified 163 differentially expressed genes: 61 genes under-expressed in cancer and 102 genes over-expressed in cancer. Profiling the functional categories of co-ordinately expressed genes within this list revealed significant correlation between increased malignant potential and loss of both IGF binding proteins and cell adhesion molecules. Interestingly, in several instances co-ordinately expressed genes sharing biological function also shared chromosomal location. CONCLUSION: Our findings indicate that gene expression profiling can reliably distinguish between benign and malignant ovarian tumours. Expression profiles of samples from patients pre-treated with chemotherapy may be useful in predicting disease free survival and the likelihood of recurrence. Loss of expression of IGF binding proteins as well as specific cell adhesion molecules may be a significant mechanism of disease progression in ovarian cancer. Expression levels in borderline tumours were intermediate between benign adenomas and malignant adenocarcinomas for a significant portion of the differentially expressed genes, suggesting that borderline tumours are a transitional state between benign and malignant tumours. Finally, genes displaying coordinated changes in gene expression were often genetically linked, suggesting that changes in expression for these genes are the consequence of regional duplications, deletions or epigenetic events.
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spelling pubmed-5245002004-10-31 Gene expression profiling of epithelial ovarian tumours correlated with malignant potential Warrenfeltz, Susanne Pavlik, Stephen Datta, Susmita Kraemer, Eileen T Benigno, Benedict McDonald, John F Mol Cancer Research BACKGROUND: Epithelial ovarian tumours exhibit a range of malignant potential, presenting distinct clinical phenotypes. Improved knowledge of gene expression changes and functional pathways associated with these clinical phenotypes may lead to new treatment targets, markers for early detection and a better understanding of disease progression. RESULTS: Gene expression profiling (Affymetrix, U95Av2) was carried out on 18 ovarian tumours including benign adenomas, borderline adenocarcinomas of low malignant potential and malignant adenocarcinomas. Clustering the expression profiles of samples from patients not treated with chemotherapy prior to surgery effectively classified 92% of samples into their proper histopathological group. Some cancer samples from patients treated with chemotherapy prior to surgery clustered with the benign adenomas. Chemotherapy patients whose tumours exhibited benign-like expression patterns remained disease free for the duration of this study as indicated by continued normal serum CA-125 levels. Statistical analysis identified 163 differentially expressed genes: 61 genes under-expressed in cancer and 102 genes over-expressed in cancer. Profiling the functional categories of co-ordinately expressed genes within this list revealed significant correlation between increased malignant potential and loss of both IGF binding proteins and cell adhesion molecules. Interestingly, in several instances co-ordinately expressed genes sharing biological function also shared chromosomal location. CONCLUSION: Our findings indicate that gene expression profiling can reliably distinguish between benign and malignant ovarian tumours. Expression profiles of samples from patients pre-treated with chemotherapy may be useful in predicting disease free survival and the likelihood of recurrence. Loss of expression of IGF binding proteins as well as specific cell adhesion molecules may be a significant mechanism of disease progression in ovarian cancer. Expression levels in borderline tumours were intermediate between benign adenomas and malignant adenocarcinomas for a significant portion of the differentially expressed genes, suggesting that borderline tumours are a transitional state between benign and malignant tumours. Finally, genes displaying coordinated changes in gene expression were often genetically linked, suggesting that changes in expression for these genes are the consequence of regional duplications, deletions or epigenetic events. BioMed Central 2004-10-07 /pmc/articles/PMC524500/ /pubmed/15471544 http://dx.doi.org/10.1186/1476-4598-3-27 Text en Copyright © 2004 Warrenfeltz et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Warrenfeltz, Susanne
Pavlik, Stephen
Datta, Susmita
Kraemer, Eileen T
Benigno, Benedict
McDonald, John F
Gene expression profiling of epithelial ovarian tumours correlated with malignant potential
title Gene expression profiling of epithelial ovarian tumours correlated with malignant potential
title_full Gene expression profiling of epithelial ovarian tumours correlated with malignant potential
title_fullStr Gene expression profiling of epithelial ovarian tumours correlated with malignant potential
title_full_unstemmed Gene expression profiling of epithelial ovarian tumours correlated with malignant potential
title_short Gene expression profiling of epithelial ovarian tumours correlated with malignant potential
title_sort gene expression profiling of epithelial ovarian tumours correlated with malignant potential
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC524500/
https://www.ncbi.nlm.nih.gov/pubmed/15471544
http://dx.doi.org/10.1186/1476-4598-3-27
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