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Molecular Oncology, Markers, Clinical Correlates |
Department of Pathology and Anatomical Sciences, Ellis Fischel Cancer Center [S. H. W., F. R., H. S., P. S. Y., T. H-M. H.] and Department of Computer Engineering and Computer Science [J. H., C-R. S.], University of Missouri, Columbia, Missouri 65203; Department of Zoology, National Chung Hsing University, Taiwan, Republic of China [C-M. C.]; Cancer Research Campaign Department of Medical Oncology, Cancer Research Campaign Beatson Laboratories, University of Glasgow, Glasgow G61 1BD, United Kingdom [G. S., R. B.]; Department of Obstetrics and Gynecology and Reproductive Biology, Brigham and Womens Hospital, Harvard Medical School, Boston, Massachusetts 02115 [S-W. N.]; and Medical Sciences, Indiana University School of Medicine, Bloomington, Indiana 47405 [K. P. N.]
Purpose: The purpose of this study was to profile methylation alterations of CpG islands in ovarian tumors and to identify candidate markers for diagnosis and prognosis of the disease.
Experimental Design: A global analysis of DNA methylation using a novel microarray approach called differential methylation hybridization was performed on 19 patients with stage III and IV ovarian carcinomas.
Results: Hierarchical clustering identified two groups of patients with distinct methylation profiles. Tumors from group 1 contained high levels of concurrent methylation, whereas group 2 tumors had lower tumor methylation levels. The duration of progression-free survival after chemotherapy was significantly shorter for patients in group 1 compared with group 2 (P < 0.001). Differential methylation in tumors was independently confirmed by methylation-specific PCR.
Conclusions: The data suggest that a higher degree of CpG island methylation is associated with early disease recurrence after chemotherapy. The differential methylation hybridization assay also identified a select group of CpG island loci that are potentially useful as epigenetic markers for predicting treatment outcome in ovarian cancer patients.
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