Clinical Genomics Identifies the Expression of Human Ovarian Carcinoma
Background: Human ovarian carcinoma is a silent killer. Most patients with human ovarian carcinoma are diagnosed in the advanced stages. Currently, no effective means of early detection are available. Identifying genes that distinguish early cancers from normal tissue may provide insight to the init...
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| Format: | Article |
| Language: | English |
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Taiwan Society of Geriatric Emergency and Critical Medicine (TSGECM)
2009-09-01
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| Series: | International Journal of Gerontology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1873959809700420 |
| _version_ | 1819014291699793920 |
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| author | Meng-Hsiun Tsai Steve G. Huang Shyh-Chang Tsaur Yao-Ching Hung Sheng-Hsiung Chiu Chi-Wei Wang |
| author_facet | Meng-Hsiun Tsai Steve G. Huang Shyh-Chang Tsaur Yao-Ching Hung Sheng-Hsiung Chiu Chi-Wei Wang |
| author_sort | Meng-Hsiun Tsai |
| collection | DOAJ |
| description | Background: Human ovarian carcinoma is a silent killer. Most patients with human ovarian carcinoma are diagnosed in the advanced stages. Currently, no effective means of early detection are available. Identifying genes that distinguish early cancers from normal tissue may provide insight to the initiation and progression of ovarian cancer.
Methods: A large-scale gene expression profiling using 9,600 genes-complementary DNA array to study ovarian tumors was conducted. We analyzed 13 benign tumors, 22 invasive cancers (seven stage I and 15 stage III), and 16 normal ovaries. Cluster analysis revealed two major groups: the early-stage cluster that included 13 benign tumors and seven stage I cancers; and the late-stage cluster that included all stage III cancers.
Results: There were 433 upregulated and 60 downregulated genes from the early-stage cluster, and 395 upregulated and 101 downregulated genes from the late-stage cluster. These genes showed altered functions for tumor/cancers, functions such as cell growth, cell cycle control, differentiation, signaling, apoptosis, ion transport, and morphogenesis. Of most interest is the downregulation of nuclear receptor proteins. Differentially expressed genes between early-stage cluster and late-stage clusters were identified. We found 90 genes preferentially overly expressed and 165 genes relatively downregulated at late-stage cancers. The advanced cancer appears differently from early-stage cancer in cell growth, cell adhesion, hormone activity, morphology, and cell–cell signaling compared with benign or early-stage cancer. Of particular interest are enzymes corresponding to pteridine biosynthesis, reported for the first time in this study. Real-time reverse transcription polymerase chain reaction showed that GCH1, KRT18, H3F3A, and MYBL2 were overly expressed in all cancer tissues, while MDFI, ARP3BETA, COL16A1, and MLN discriminated late-stage from early-stage cancers.
Conclusion: The microarray provides valuable resources for comparing expression profiles of cancers at various stages and helps research the diagnosis and mechanism of ovarian cancer. |
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| id | doaj.art-e51b8ccd8cea4706b8600193d3b0b272 |
| institution | Directory Open Access Journal |
| issn | 1873-9598 |
| language | English |
| last_indexed | 2024-12-21T02:13:31Z |
| publishDate | 2009-09-01 |
| publisher | Taiwan Society of Geriatric Emergency and Critical Medicine (TSGECM) |
| record_format | Article |
| series | International Journal of Gerontology |
| spelling | doaj.art-e51b8ccd8cea4706b8600193d3b0b2722022-12-21T19:19:18ZengTaiwan Society of Geriatric Emergency and Critical Medicine (TSGECM)International Journal of Gerontology1873-95982009-09-013316316910.1016/S1873-9598(09)70042-0Clinical Genomics Identifies the Expression of Human Ovarian CarcinomaMeng-Hsiun Tsai0Steve G. Huang1Shyh-Chang Tsaur2Yao-Ching Hung3Sheng-Hsiung Chiu4Chi-Wei Wang5Department of Management Information Systems and Institute of Bioinformatics, National Chung Hsing University, Taichung, TaiwanInstitute of Nanotechnology, National Chiao Tung University, Hsinchu, TaiwanDepartment of Computer Science and Information Engineering, Asia University, Taichung, TaiwanSection of Gynecologic Oncology, Department of Obstetrics and Gynecology, China Medical University and Hospital, Taichung, TaiwanTroilus Bio-technology Co. Ltd, Taichung, TaiwanDepartment of Computer Science and Information Engineering, Asia University, Taichung, TaiwanBackground: Human ovarian carcinoma is a silent killer. Most patients with human ovarian carcinoma are diagnosed in the advanced stages. Currently, no effective means of early detection are available. Identifying genes that distinguish early cancers from normal tissue may provide insight to the initiation and progression of ovarian cancer. Methods: A large-scale gene expression profiling using 9,600 genes-complementary DNA array to study ovarian tumors was conducted. We analyzed 13 benign tumors, 22 invasive cancers (seven stage I and 15 stage III), and 16 normal ovaries. Cluster analysis revealed two major groups: the early-stage cluster that included 13 benign tumors and seven stage I cancers; and the late-stage cluster that included all stage III cancers. Results: There were 433 upregulated and 60 downregulated genes from the early-stage cluster, and 395 upregulated and 101 downregulated genes from the late-stage cluster. These genes showed altered functions for tumor/cancers, functions such as cell growth, cell cycle control, differentiation, signaling, apoptosis, ion transport, and morphogenesis. Of most interest is the downregulation of nuclear receptor proteins. Differentially expressed genes between early-stage cluster and late-stage clusters were identified. We found 90 genes preferentially overly expressed and 165 genes relatively downregulated at late-stage cancers. The advanced cancer appears differently from early-stage cancer in cell growth, cell adhesion, hormone activity, morphology, and cell–cell signaling compared with benign or early-stage cancer. Of particular interest are enzymes corresponding to pteridine biosynthesis, reported for the first time in this study. Real-time reverse transcription polymerase chain reaction showed that GCH1, KRT18, H3F3A, and MYBL2 were overly expressed in all cancer tissues, while MDFI, ARP3BETA, COL16A1, and MLN discriminated late-stage from early-stage cancers. Conclusion: The microarray provides valuable resources for comparing expression profiles of cancers at various stages and helps research the diagnosis and mechanism of ovarian cancer.http://www.sciencedirect.com/science/article/pii/S1873959809700420borderline malignancyexpression profilemicroarrayovarian tumorreal-time reverse transcription polymerase chain reaction |
| spellingShingle | Meng-Hsiun Tsai Steve G. Huang Shyh-Chang Tsaur Yao-Ching Hung Sheng-Hsiung Chiu Chi-Wei Wang Clinical Genomics Identifies the Expression of Human Ovarian Carcinoma International Journal of Gerontology borderline malignancy expression profile microarray ovarian tumor real-time reverse transcription polymerase chain reaction |
| title | Clinical Genomics Identifies the Expression of Human Ovarian Carcinoma |
| title_full | Clinical Genomics Identifies the Expression of Human Ovarian Carcinoma |
| title_fullStr | Clinical Genomics Identifies the Expression of Human Ovarian Carcinoma |
| title_full_unstemmed | Clinical Genomics Identifies the Expression of Human Ovarian Carcinoma |
| title_short | Clinical Genomics Identifies the Expression of Human Ovarian Carcinoma |
| title_sort | clinical genomics identifies the expression of human ovarian carcinoma |
| topic | borderline malignancy expression profile microarray ovarian tumor real-time reverse transcription polymerase chain reaction |
| url | http://www.sciencedirect.com/science/article/pii/S1873959809700420 |
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