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NotI Microarrays: Novel Epigenetic Markers for Early Detection and Prognosis of High Grade Serous Ovarian Cancer

Chromosome 3-specific NotI microarray (NMA) containing 180 clones with 188 genes was used in the study to analyze 18 high grade serous ovarian cancer (HGSOC) samples and 7 benign ovarian tumors. We aimed to find novel methylation-dependent biomarkers for early detection and prognosis of HGSOC. Thirt...

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Autores principales: Kashuba, Vladimir, Dmitriev, Alexey A., Krasnov, George S., Pavlova, Tatiana, Ignatjev, Ilya, Gordiyuk, Vasily V., Gerashchenko, Anna V., Braga, Eleonora A., Yenamandra, Surya P., Lerman, Michael, Senchenko, Vera N., Zabarovsky, Eugene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3497331/
https://www.ncbi.nlm.nih.gov/pubmed/23202957
http://dx.doi.org/10.3390/ijms131013352
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author Kashuba, Vladimir
Dmitriev, Alexey A.
Krasnov, George S.
Pavlova, Tatiana
Ignatjev, Ilya
Gordiyuk, Vasily V.
Gerashchenko, Anna V.
Braga, Eleonora A.
Yenamandra, Surya P.
Lerman, Michael
Senchenko, Vera N.
Zabarovsky, Eugene
author_facet Kashuba, Vladimir
Dmitriev, Alexey A.
Krasnov, George S.
Pavlova, Tatiana
Ignatjev, Ilya
Gordiyuk, Vasily V.
Gerashchenko, Anna V.
Braga, Eleonora A.
Yenamandra, Surya P.
Lerman, Michael
Senchenko, Vera N.
Zabarovsky, Eugene
author_sort Kashuba, Vladimir
collection PubMed
description Chromosome 3-specific NotI microarray (NMA) containing 180 clones with 188 genes was used in the study to analyze 18 high grade serous ovarian cancer (HGSOC) samples and 7 benign ovarian tumors. We aimed to find novel methylation-dependent biomarkers for early detection and prognosis of HGSOC. Thirty five NotI markers showed frequency of methylation/deletion more or equal to 17%. To check the results of NMA hybridizations several samples for four genes (LRRC3B, THRB, ITGA9 and RBSP3 (CTDSPL)) were bisulfite sequenced and confirmed the results of NMA hybridization. A set of eight biomarkers: NKIRAS1/RPL15, THRB, RBPS3 (CTDSPL), IQSEC1, NBEAL2, ZIC4, LOC285205 and FOXP1, was identified as the most prominent set capable to detect both early and late stages of ovarian cancer. Sensitivity of this set is equal to (72 ± 11)% and specificity (94 ± 5)%. Early stages represented the most complicated cases for detection. To distinguish between Stages I + II and Stages III + IV of ovarian cancer the most perspective set of biomarkers would include LOC285205, CGGBP1, EPHB1 and NKIRAS1/RPL15. The sensitivity of the set is equal to (80 ± 13)% and the specificity is (88 ± 12)%. Using this technique we plan to validate this panel with new epithelial ovarian cancer samples and add markers from other chromosomes.
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spelling pubmed-34973312012-11-29 NotI Microarrays: Novel Epigenetic Markers for Early Detection and Prognosis of High Grade Serous Ovarian Cancer Kashuba, Vladimir Dmitriev, Alexey A. Krasnov, George S. Pavlova, Tatiana Ignatjev, Ilya Gordiyuk, Vasily V. Gerashchenko, Anna V. Braga, Eleonora A. Yenamandra, Surya P. Lerman, Michael Senchenko, Vera N. Zabarovsky, Eugene Int J Mol Sci Article Chromosome 3-specific NotI microarray (NMA) containing 180 clones with 188 genes was used in the study to analyze 18 high grade serous ovarian cancer (HGSOC) samples and 7 benign ovarian tumors. We aimed to find novel methylation-dependent biomarkers for early detection and prognosis of HGSOC. Thirty five NotI markers showed frequency of methylation/deletion more or equal to 17%. To check the results of NMA hybridizations several samples for four genes (LRRC3B, THRB, ITGA9 and RBSP3 (CTDSPL)) were bisulfite sequenced and confirmed the results of NMA hybridization. A set of eight biomarkers: NKIRAS1/RPL15, THRB, RBPS3 (CTDSPL), IQSEC1, NBEAL2, ZIC4, LOC285205 and FOXP1, was identified as the most prominent set capable to detect both early and late stages of ovarian cancer. Sensitivity of this set is equal to (72 ± 11)% and specificity (94 ± 5)%. Early stages represented the most complicated cases for detection. To distinguish between Stages I + II and Stages III + IV of ovarian cancer the most perspective set of biomarkers would include LOC285205, CGGBP1, EPHB1 and NKIRAS1/RPL15. The sensitivity of the set is equal to (80 ± 13)% and the specificity is (88 ± 12)%. Using this technique we plan to validate this panel with new epithelial ovarian cancer samples and add markers from other chromosomes. Molecular Diversity Preservation International (MDPI) 2012-10-18 /pmc/articles/PMC3497331/ /pubmed/23202957 http://dx.doi.org/10.3390/ijms131013352 Text en © 2012 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0).
spellingShingle Article
Kashuba, Vladimir
Dmitriev, Alexey A.
Krasnov, George S.
Pavlova, Tatiana
Ignatjev, Ilya
Gordiyuk, Vasily V.
Gerashchenko, Anna V.
Braga, Eleonora A.
Yenamandra, Surya P.
Lerman, Michael
Senchenko, Vera N.
Zabarovsky, Eugene
NotI Microarrays: Novel Epigenetic Markers for Early Detection and Prognosis of High Grade Serous Ovarian Cancer
title NotI Microarrays: Novel Epigenetic Markers for Early Detection and Prognosis of High Grade Serous Ovarian Cancer
title_full NotI Microarrays: Novel Epigenetic Markers for Early Detection and Prognosis of High Grade Serous Ovarian Cancer
title_fullStr NotI Microarrays: Novel Epigenetic Markers for Early Detection and Prognosis of High Grade Serous Ovarian Cancer
title_full_unstemmed NotI Microarrays: Novel Epigenetic Markers for Early Detection and Prognosis of High Grade Serous Ovarian Cancer
title_short NotI Microarrays: Novel Epigenetic Markers for Early Detection and Prognosis of High Grade Serous Ovarian Cancer
title_sort noti microarrays: novel epigenetic markers for early detection and prognosis of high grade serous ovarian cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3497331/
https://www.ncbi.nlm.nih.gov/pubmed/23202957
http://dx.doi.org/10.3390/ijms131013352
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