KMID : 1140220130180040298
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´ëÇѾϿ¹¹æÇÐȸÁö 2013 Volume.18 No. 4 p.298 ~ p.312
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Ovarian Cancer Biomarker Discovery Based on Genomic Approaches
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Lee Jung-Yun
Kim Hee-Seung Suh Dong-Hoon Kim Mi-Kyung Chung Hyun-Hoon Song Yong-Sang
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Abstract
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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.
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KEYWORD
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Cancer biomarker, Ovarian cancer, Genomic technologies, Genes, Early detection
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