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Ovarian Cancer Biomarker Discovery Based on Genomic Approaches
Ovarian cancer presents at an advanced stage in more than 75% of patients. Early detection has great promise to improve clinical outcomes. Although the advancing proteomic technologies led to the discovery of numerous ovarian cancer biomarkers, no screening method has been recommended for early dete...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Cancer Prevention
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4189448/ https://www.ncbi.nlm.nih.gov/pubmed/25337559 http://dx.doi.org/10.15430/JCP.2013.18.4.298 |
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author | Lee, Jung-Yun Kim, Hee Seung Suh, Dong Hoon Kim, Mi-Kyung Chung, Hyun Hoon Song, Yong-Sang |
author_facet | Lee, Jung-Yun Kim, Hee Seung Suh, Dong Hoon Kim, Mi-Kyung Chung, Hyun Hoon Song, Yong-Sang |
author_sort | Lee, Jung-Yun |
collection | PubMed |
description | Ovarian cancer presents at an advanced stage in more than 75% of patients. Early detection has great promise to improve clinical outcomes. Although the advancing proteomic technologies led to the discovery of numerous ovarian cancer biomarkers, no screening method has been recommended for early detection of ovarian cancer. Complexity and heterogeneity of ovarian carcinogenesis is a major obstacle to discover biomarkers. As cancer arises due to accumulation of genetic change, understanding the close connection between genetic changes and ovarian carcinogenesis would provide the opportunity to find novel gene-level ovarian cancer biomarkers. In this review, we summarize the various gene-based biomarkers by genomic technologies, including inherited gene mutations, epigenetic changes, and differential gene expression. In addition, we suggest the strategy to discover novel gene-based biomarkers with recently introduced next generation sequencing. |
format | Online Article Text |
id | pubmed-4189448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Korean Society of Cancer Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-41894482014-10-21 Ovarian Cancer Biomarker Discovery Based on Genomic Approaches Lee, Jung-Yun Kim, Hee Seung Suh, Dong Hoon Kim, Mi-Kyung Chung, Hyun Hoon Song, Yong-Sang J Cancer Prev Review Ovarian cancer presents at an advanced stage in more than 75% of patients. Early detection has great promise to improve clinical outcomes. Although the advancing proteomic technologies led to the discovery of numerous ovarian cancer biomarkers, no screening method has been recommended for early detection of ovarian cancer. Complexity and heterogeneity of ovarian carcinogenesis is a major obstacle to discover biomarkers. As cancer arises due to accumulation of genetic change, understanding the close connection between genetic changes and ovarian carcinogenesis would provide the opportunity to find novel gene-level ovarian cancer biomarkers. In this review, we summarize the various gene-based biomarkers by genomic technologies, including inherited gene mutations, epigenetic changes, and differential gene expression. In addition, we suggest the strategy to discover novel gene-based biomarkers with recently introduced next generation sequencing. Korean Society of Cancer Prevention 2013-12 /pmc/articles/PMC4189448/ /pubmed/25337559 http://dx.doi.org/10.15430/JCP.2013.18.4.298 Text en Copyright © 2013 Korean Society of Cancer Prevention This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Lee, Jung-Yun Kim, Hee Seung Suh, Dong Hoon Kim, Mi-Kyung Chung, Hyun Hoon Song, Yong-Sang Ovarian Cancer Biomarker Discovery Based on Genomic Approaches |
title | Ovarian Cancer Biomarker Discovery Based on Genomic Approaches |
title_full | Ovarian Cancer Biomarker Discovery Based on Genomic Approaches |
title_fullStr | Ovarian Cancer Biomarker Discovery Based on Genomic Approaches |
title_full_unstemmed | Ovarian Cancer Biomarker Discovery Based on Genomic Approaches |
title_short | Ovarian Cancer Biomarker Discovery Based on Genomic Approaches |
title_sort | ovarian cancer biomarker discovery based on genomic approaches |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4189448/ https://www.ncbi.nlm.nih.gov/pubmed/25337559 http://dx.doi.org/10.15430/JCP.2013.18.4.298 |
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