Distinct DNA Methylation Profiles in Ovarian Tumors: Opportunities for Novel Biomarkers
Aberrant methylation of multiple promoter CpG islands could be related to the biology of ovarian tumors and its determination could help to improve treatment strategies. DNA methylation profiling was performed using the Methylation Ligation-dependent Macroarray (MLM), an array-based analysis. Promot...
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doaj-1e17a58349eb41f686a10039de7552b42020-11-24T23:26:25ZengMDPI AGInternational Journal of Molecular Sciences1422-00672018-05-01196155910.3390/ijms19061559ijms19061559Distinct DNA Methylation Profiles in Ovarian Tumors: Opportunities for Novel BiomarkersLorena Losi0Sergio Fonda1Sara Saponaro2Sonia T. Chelbi3Cesare Lancellotti4Gaia Gozzi5Loredana Alberti6Luca Fabbiani7Laura Botticelli8Jean Benhattar9Department of Life Sciences, University of Modena and Reggio Emilia, 41124 Modena, ItalyDepartment of Life Sciences, University of Modena and Reggio Emilia, 41124 Modena, ItalyDepartment of Life Sciences, University of Modena and Reggio Emilia, 41124 Modena, ItalyInstitute of Pathology, Lausanne University Hospital, 1011 Lausanne, SwitzerlandDepartment of Life Sciences, University of Modena and Reggio Emilia, 41124 Modena, ItalyDepartment of Life Sciences, University of Modena and Reggio Emilia, 41124 Modena, ItalyInstitute of Pathology, Lausanne University Hospital, 1011 Lausanne, SwitzerlandUnit of Pathology, Azienda Ospedaliero-Universitaria Policlinico, 41124 Modena, ItalyUnit of Pathology, Azienda Ospedaliero-Universitaria Policlinico, 41124 Modena, ItalyInstitute of Pathology, Lausanne University Hospital, 1011 Lausanne, SwitzerlandAberrant methylation of multiple promoter CpG islands could be related to the biology of ovarian tumors and its determination could help to improve treatment strategies. DNA methylation profiling was performed using the Methylation Ligation-dependent Macroarray (MLM), an array-based analysis. Promoter regions of 41 genes were analyzed in 102 ovarian tumors and 17 normal ovarian samples. An average of 29% of hypermethylated promoter genes was observed in normal ovarian tissues. This percentage increased slightly in serous, endometrioid, and mucinous carcinomas (32%, 34%, and 45%, respectively), but decreased in germ cell tumors (20%). Ovarian tumors had methylation profiles that were more heterogeneous than other epithelial cancers. Unsupervised hierarchical clustering identified four groups that are very close to the histological subtypes of ovarian tumors. Aberrant methylation of three genes (BRCA1, MGMT, and MLH1), playing important roles in the different DNA repair mechanisms, were dependent on the tumor subtype and represent powerful biomarkers for precision therapy. Furthermore, a promising relationship between hypermethylation of MGMT, OSMR, ESR1, and FOXL2 and overall survival was observed. Our study of DNA methylation profiling indicates that the different histotypes of ovarian cancer should be treated as separate diseases both clinically and in research for the development of targeted therapies.http://www.mdpi.com/1422-0067/19/6/1559ovarian carcinomaDNA methylation profilingWnt pathwayDNA damage repair systemTERTMGMTBRCA1MLH1OSMRESR1FOXL2 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lorena Losi Sergio Fonda Sara Saponaro Sonia T. Chelbi Cesare Lancellotti Gaia Gozzi Loredana Alberti Luca Fabbiani Laura Botticelli Jean Benhattar |
spellingShingle |
Lorena Losi Sergio Fonda Sara Saponaro Sonia T. Chelbi Cesare Lancellotti Gaia Gozzi Loredana Alberti Luca Fabbiani Laura Botticelli Jean Benhattar Distinct DNA Methylation Profiles in Ovarian Tumors: Opportunities for Novel Biomarkers International Journal of Molecular Sciences ovarian carcinoma DNA methylation profiling Wnt pathway DNA damage repair system TERT MGMT BRCA1 MLH1 OSMR ESR1 FOXL2 |
author_facet |
Lorena Losi Sergio Fonda Sara Saponaro Sonia T. Chelbi Cesare Lancellotti Gaia Gozzi Loredana Alberti Luca Fabbiani Laura Botticelli Jean Benhattar |
author_sort |
Lorena Losi |
title |
Distinct DNA Methylation Profiles in Ovarian Tumors: Opportunities for Novel Biomarkers |
title_short |
Distinct DNA Methylation Profiles in Ovarian Tumors: Opportunities for Novel Biomarkers |
title_full |
Distinct DNA Methylation Profiles in Ovarian Tumors: Opportunities for Novel Biomarkers |
title_fullStr |
Distinct DNA Methylation Profiles in Ovarian Tumors: Opportunities for Novel Biomarkers |
title_full_unstemmed |
Distinct DNA Methylation Profiles in Ovarian Tumors: Opportunities for Novel Biomarkers |
title_sort |
distinct dna methylation profiles in ovarian tumors: opportunities for novel biomarkers |
publisher |
MDPI AG |
series |
International Journal of Molecular Sciences |
issn |
1422-0067 |
publishDate |
2018-05-01 |
description |
Aberrant methylation of multiple promoter CpG islands could be related to the biology of ovarian tumors and its determination could help to improve treatment strategies. DNA methylation profiling was performed using the Methylation Ligation-dependent Macroarray (MLM), an array-based analysis. Promoter regions of 41 genes were analyzed in 102 ovarian tumors and 17 normal ovarian samples. An average of 29% of hypermethylated promoter genes was observed in normal ovarian tissues. This percentage increased slightly in serous, endometrioid, and mucinous carcinomas (32%, 34%, and 45%, respectively), but decreased in germ cell tumors (20%). Ovarian tumors had methylation profiles that were more heterogeneous than other epithelial cancers. Unsupervised hierarchical clustering identified four groups that are very close to the histological subtypes of ovarian tumors. Aberrant methylation of three genes (BRCA1, MGMT, and MLH1), playing important roles in the different DNA repair mechanisms, were dependent on the tumor subtype and represent powerful biomarkers for precision therapy. Furthermore, a promising relationship between hypermethylation of MGMT, OSMR, ESR1, and FOXL2 and overall survival was observed. Our study of DNA methylation profiling indicates that the different histotypes of ovarian cancer should be treated as separate diseases both clinically and in research for the development of targeted therapies. |
topic |
ovarian carcinoma DNA methylation profiling Wnt pathway DNA damage repair system TERT MGMT BRCA1 MLH1 OSMR ESR1 FOXL2 |
url |
http://www.mdpi.com/1422-0067/19/6/1559 |
work_keys_str_mv |
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