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Gene Expression Analysis of Early Stage Endometrial Cancers Reveals Unique Transcripts Associated with Grade and Histology but Not Depth of Invasion

Endometrial cancer is the most common gynecologic malignancy in the United States but it remains poorly understood at the molecular level. This investigation was conducted to specifically assess whether gene expression changes underlie the clinical and pathologic factors traditionally used for deter...

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Autores principales: Risinger, John I., Allard, Jay, Chandran, Uma, Day, Roger, Chandramouli, Gadisetti V. R., Miller, Caela, Zahn, Christopher, Oliver, Julie, Litzi, Tracy, Marcus, Charlotte, Dubil, Elizabeth, Byrd, Kevin, Cassablanca, Yovanni, Becich, Michael, Berchuck, Andrew, Darcy, Kathleen M., Hamilton, Chad A., Conrads, Thomas P., Maxwell, G. Larry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3683664/
https://www.ncbi.nlm.nih.gov/pubmed/23785665
http://dx.doi.org/10.3389/fonc.2013.00139
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author Risinger, John I.
Allard, Jay
Chandran, Uma
Day, Roger
Chandramouli, Gadisetti V. R.
Miller, Caela
Zahn, Christopher
Oliver, Julie
Litzi, Tracy
Marcus, Charlotte
Dubil, Elizabeth
Byrd, Kevin
Cassablanca, Yovanni
Becich, Michael
Berchuck, Andrew
Darcy, Kathleen M.
Hamilton, Chad A.
Conrads, Thomas P.
Maxwell, G. Larry
author_facet Risinger, John I.
Allard, Jay
Chandran, Uma
Day, Roger
Chandramouli, Gadisetti V. R.
Miller, Caela
Zahn, Christopher
Oliver, Julie
Litzi, Tracy
Marcus, Charlotte
Dubil, Elizabeth
Byrd, Kevin
Cassablanca, Yovanni
Becich, Michael
Berchuck, Andrew
Darcy, Kathleen M.
Hamilton, Chad A.
Conrads, Thomas P.
Maxwell, G. Larry
author_sort Risinger, John I.
collection PubMed
description Endometrial cancer is the most common gynecologic malignancy in the United States but it remains poorly understood at the molecular level. This investigation was conducted to specifically assess whether gene expression changes underlie the clinical and pathologic factors traditionally used for determining treatment regimens in women with stage I endometrial cancer. These include the effect of tumor grade, depth of myometrial invasion and histotype. We utilized oligonucleotide microarrays to assess the transcript expression profile in epithelial glandular cells laser microdissected from 79 endometrioid and 12 serous stage I endometrial cancers with a heterogeneous distribution of grade and depth of myometrial invasion, along with 12 normal post-menopausal endometrial samples. Unsupervised multidimensional scaling analyses revealed that serous and endometrioid stage I cancers have similar transcript expression patterns when compared to normal controls where 900 transcripts were identified to be differentially expressed by at least fourfold (univariate t-test, p < 0.001) between the cancers and normal endometrium. This analysis also identified transcript expression differences between serous and endometrioid cancers and tumor grade, but no apparent differences were identified as a function of depth of myometrial invasion. Four genes were validated by quantitative PCR on an independent set of cancer and normal endometrium samples. These findings indicate that unique gene expression profiles are associated with histologic type and grade, but not myometrial invasion among early stage endometrial cancers. These data provide a comprehensive perspective on the molecular alterations associated with stage I endometrial cancer, particularly those subtypes that have the worst prognosis.
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spelling pubmed-36836642013-06-19 Gene Expression Analysis of Early Stage Endometrial Cancers Reveals Unique Transcripts Associated with Grade and Histology but Not Depth of Invasion Risinger, John I. Allard, Jay Chandran, Uma Day, Roger Chandramouli, Gadisetti V. R. Miller, Caela Zahn, Christopher Oliver, Julie Litzi, Tracy Marcus, Charlotte Dubil, Elizabeth Byrd, Kevin Cassablanca, Yovanni Becich, Michael Berchuck, Andrew Darcy, Kathleen M. Hamilton, Chad A. Conrads, Thomas P. Maxwell, G. Larry Front Oncol Oncology Endometrial cancer is the most common gynecologic malignancy in the United States but it remains poorly understood at the molecular level. This investigation was conducted to specifically assess whether gene expression changes underlie the clinical and pathologic factors traditionally used for determining treatment regimens in women with stage I endometrial cancer. These include the effect of tumor grade, depth of myometrial invasion and histotype. We utilized oligonucleotide microarrays to assess the transcript expression profile in epithelial glandular cells laser microdissected from 79 endometrioid and 12 serous stage I endometrial cancers with a heterogeneous distribution of grade and depth of myometrial invasion, along with 12 normal post-menopausal endometrial samples. Unsupervised multidimensional scaling analyses revealed that serous and endometrioid stage I cancers have similar transcript expression patterns when compared to normal controls where 900 transcripts were identified to be differentially expressed by at least fourfold (univariate t-test, p < 0.001) between the cancers and normal endometrium. This analysis also identified transcript expression differences between serous and endometrioid cancers and tumor grade, but no apparent differences were identified as a function of depth of myometrial invasion. Four genes were validated by quantitative PCR on an independent set of cancer and normal endometrium samples. These findings indicate that unique gene expression profiles are associated with histologic type and grade, but not myometrial invasion among early stage endometrial cancers. These data provide a comprehensive perspective on the molecular alterations associated with stage I endometrial cancer, particularly those subtypes that have the worst prognosis. Frontiers Media S.A. 2013-06-17 /pmc/articles/PMC3683664/ /pubmed/23785665 http://dx.doi.org/10.3389/fonc.2013.00139 Text en Copyright © 2013 Risinger, Allard, Chandran, Day, Chandramouli, Miller, Zahn, Oliver, Litzi, Marcus, Dubil, Byrd, Cassablanca, Becich, Berchuck, Darcy, Hamilton, Conrads and Maxwell. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Oncology
Risinger, John I.
Allard, Jay
Chandran, Uma
Day, Roger
Chandramouli, Gadisetti V. R.
Miller, Caela
Zahn, Christopher
Oliver, Julie
Litzi, Tracy
Marcus, Charlotte
Dubil, Elizabeth
Byrd, Kevin
Cassablanca, Yovanni
Becich, Michael
Berchuck, Andrew
Darcy, Kathleen M.
Hamilton, Chad A.
Conrads, Thomas P.
Maxwell, G. Larry
Gene Expression Analysis of Early Stage Endometrial Cancers Reveals Unique Transcripts Associated with Grade and Histology but Not Depth of Invasion
title Gene Expression Analysis of Early Stage Endometrial Cancers Reveals Unique Transcripts Associated with Grade and Histology but Not Depth of Invasion
title_full Gene Expression Analysis of Early Stage Endometrial Cancers Reveals Unique Transcripts Associated with Grade and Histology but Not Depth of Invasion
title_fullStr Gene Expression Analysis of Early Stage Endometrial Cancers Reveals Unique Transcripts Associated with Grade and Histology but Not Depth of Invasion
title_full_unstemmed Gene Expression Analysis of Early Stage Endometrial Cancers Reveals Unique Transcripts Associated with Grade and Histology but Not Depth of Invasion
title_short Gene Expression Analysis of Early Stage Endometrial Cancers Reveals Unique Transcripts Associated with Grade and Histology but Not Depth of Invasion
title_sort gene expression analysis of early stage endometrial cancers reveals unique transcripts associated with grade and histology but not depth of invasion
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3683664/
https://www.ncbi.nlm.nih.gov/pubmed/23785665
http://dx.doi.org/10.3389/fonc.2013.00139
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