Predicting biomarkers for ovarian cancer using gene-expression microarrays

Ovarian cancer has the highest mortality rate of gynaecological cancers. This is partly due to the lack of effective screening markers. Here, we used oligonucleotide microarrays complementary to ∼12 000 genes to establish a gene-expression microarray (GEM) profile for normal ovarian tissue, as compa...

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Autores principales: Adib, T R, Henderson, S, Perrett, C, Hewitt, D, Bourmpoulia, D, Ledermann, J, Boshoff, C
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2004
Materias:
Molecular and Cellular Pathology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2409606/
https://www.ncbi.nlm.nih.gov/pubmed/14760385
http://dx.doi.org/10.1038/sj.bjc.6601603
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author Adib, T R
Henderson, S
Perrett, C
Hewitt, D
Bourmpoulia, D
Ledermann, J
Boshoff, C
author_facet Adib, T R
Henderson, S
Perrett, C
Hewitt, D
Bourmpoulia, D
Ledermann, J
Boshoff, C
author_sort Adib, T R
collection PubMed
description Ovarian cancer has the highest mortality rate of gynaecological cancers. This is partly due to the lack of effective screening markers. Here, we used oligonucleotide microarrays complementary to ∼12 000 genes to establish a gene-expression microarray (GEM) profile for normal ovarian tissue, as compared to stage III ovarian serous adenocarcinoma and omental metastases from the same individuals. We found that the GEM profiles of the primary and secondary tumours from the same individuals were essentially alike, reflecting the fact that these tumours had already metastasised and acquired the metastatic phenotype. We have identified a novel biomarker, mammaglobin-2 (MGB2), which is highly expressed specific to ovarian cancer. MGB2, in combination with other putative markers identified here, could have the potential for screening.
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spelling pubmed-24096062009-09-10 Predicting biomarkers for ovarian cancer using gene-expression microarrays Adib, T R Henderson, S Perrett, C Hewitt, D Bourmpoulia, D Ledermann, J Boshoff, C Br J Cancer Molecular and Cellular Pathology Ovarian cancer has the highest mortality rate of gynaecological cancers. This is partly due to the lack of effective screening markers. Here, we used oligonucleotide microarrays complementary to ∼12 000 genes to establish a gene-expression microarray (GEM) profile for normal ovarian tissue, as compared to stage III ovarian serous adenocarcinoma and omental metastases from the same individuals. We found that the GEM profiles of the primary and secondary tumours from the same individuals were essentially alike, reflecting the fact that these tumours had already metastasised and acquired the metastatic phenotype. We have identified a novel biomarker, mammaglobin-2 (MGB2), which is highly expressed specific to ovarian cancer. MGB2, in combination with other putative markers identified here, could have the potential for screening. Nature Publishing Group 2004-02-09 2004-02-03 /pmc/articles/PMC2409606/ /pubmed/14760385 http://dx.doi.org/10.1038/sj.bjc.6601603 Text en Copyright © 2004 Cancer Research UK https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/.
spellingShingle Molecular and Cellular Pathology
Adib, T R
Henderson, S
Perrett, C
Hewitt, D
Bourmpoulia, D
Ledermann, J
Boshoff, C
Predicting biomarkers for ovarian cancer using gene-expression microarrays
title Predicting biomarkers for ovarian cancer using gene-expression microarrays
title_full Predicting biomarkers for ovarian cancer using gene-expression microarrays
title_fullStr Predicting biomarkers for ovarian cancer using gene-expression microarrays
title_full_unstemmed Predicting biomarkers for ovarian cancer using gene-expression microarrays
title_short Predicting biomarkers for ovarian cancer using gene-expression microarrays
title_sort predicting biomarkers for ovarian cancer using gene-expression microarrays
topic Molecular and Cellular Pathology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2409606/
https://www.ncbi.nlm.nih.gov/pubmed/14760385
http://dx.doi.org/10.1038/sj.bjc.6601603
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