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Molecular Profiling Predicts the Existence of Two Functionally Distinct Classes of Ovarian Cancer Stroma
Although stromal cell signaling has been shown to play a significant role in the progression of many cancers, relatively little is known about its importance in modulating ovarian cancer development. The purpose of this study was to investigate the process of stroma activation in human ovarian cance...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3665167/ https://www.ncbi.nlm.nih.gov/pubmed/23762861 http://dx.doi.org/10.1155/2013/846387 |
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author | Lili, Loukia N. Matyunina, Lilya V. Walker, L. DeEtte Benigno, Benedict B. McDonald, John F. |
author_facet | Lili, Loukia N. Matyunina, Lilya V. Walker, L. DeEtte Benigno, Benedict B. McDonald, John F. |
author_sort | Lili, Loukia N. |
collection | PubMed |
description | Although stromal cell signaling has been shown to play a significant role in the progression of many cancers, relatively little is known about its importance in modulating ovarian cancer development. The purpose of this study was to investigate the process of stroma activation in human ovarian cancer by molecular analysis of matched sets of cancer and surrounding stroma tissues. RNA microarray profiling of 45 tissue samples was carried out using the Affymetrix (U133 Plus 2.0) gene expression platform. Laser capture microdissection (LCM) was employed to isolate cancer cells from the tumors of ovarian cancer patients (Cepi) and matched sets of surrounding cancer stroma (CS). For controls, ovarian surface epithelial cells (OSE) were isolated from the normal (noncancerous) ovaries and normal stroma (NS). Hierarchical clustering of the microarray data resulted in clear separations between the OSE, Cepi, NS, and CS samples. Expression patterns of genes encoding signaling molecules and compatible receptors in the CS and Cepi samples indicate the existence of two subgroups of cancer stroma (CS) with different propensities to support tumor growth. Our results indicate that functionally significant variability exists among ovarian cancer patients in the ability of the microenvironment to modulate cancer development. |
format | Online Article Text |
id | pubmed-3665167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-36651672013-06-12 Molecular Profiling Predicts the Existence of Two Functionally Distinct Classes of Ovarian Cancer Stroma Lili, Loukia N. Matyunina, Lilya V. Walker, L. DeEtte Benigno, Benedict B. McDonald, John F. Biomed Res Int Research Article Although stromal cell signaling has been shown to play a significant role in the progression of many cancers, relatively little is known about its importance in modulating ovarian cancer development. The purpose of this study was to investigate the process of stroma activation in human ovarian cancer by molecular analysis of matched sets of cancer and surrounding stroma tissues. RNA microarray profiling of 45 tissue samples was carried out using the Affymetrix (U133 Plus 2.0) gene expression platform. Laser capture microdissection (LCM) was employed to isolate cancer cells from the tumors of ovarian cancer patients (Cepi) and matched sets of surrounding cancer stroma (CS). For controls, ovarian surface epithelial cells (OSE) were isolated from the normal (noncancerous) ovaries and normal stroma (NS). Hierarchical clustering of the microarray data resulted in clear separations between the OSE, Cepi, NS, and CS samples. Expression patterns of genes encoding signaling molecules and compatible receptors in the CS and Cepi samples indicate the existence of two subgroups of cancer stroma (CS) with different propensities to support tumor growth. Our results indicate that functionally significant variability exists among ovarian cancer patients in the ability of the microenvironment to modulate cancer development. Hindawi Publishing Corporation 2013 2013-05-09 /pmc/articles/PMC3665167/ /pubmed/23762861 http://dx.doi.org/10.1155/2013/846387 Text en Copyright © 2013 Loukia N. Lili et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lili, Loukia N. Matyunina, Lilya V. Walker, L. DeEtte Benigno, Benedict B. McDonald, John F. Molecular Profiling Predicts the Existence of Two Functionally Distinct Classes of Ovarian Cancer Stroma |
title | Molecular Profiling Predicts the Existence of Two Functionally Distinct Classes of Ovarian Cancer Stroma |
title_full | Molecular Profiling Predicts the Existence of Two Functionally Distinct Classes of Ovarian Cancer Stroma |
title_fullStr | Molecular Profiling Predicts the Existence of Two Functionally Distinct Classes of Ovarian Cancer Stroma |
title_full_unstemmed | Molecular Profiling Predicts the Existence of Two Functionally Distinct Classes of Ovarian Cancer Stroma |
title_short | Molecular Profiling Predicts the Existence of Two Functionally Distinct Classes of Ovarian Cancer Stroma |
title_sort | molecular profiling predicts the existence of two functionally distinct classes of ovarian cancer stroma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3665167/ https://www.ncbi.nlm.nih.gov/pubmed/23762861 http://dx.doi.org/10.1155/2013/846387 |
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