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Identification of Novel Epigenetic Markers of Prostate Cancer by NotI-Microarray Analysis
المؤلفون المشاركون
Gordiyuk, Vasily V.
Kudryavtseva, Anna V.
Alexeyenko, Andrey
Kashuba, Vladimir I.
Alekseev, Boris Y.
Rosenberg, Eugenia E.
Gerashchenko, Ganna V.
Pavlova, Tatiana V.
Beniaminov, Artemy D.
Belova, Anastasia A.
Bondarenko, Yuriy N.
Danilets, Rostislav O.
Glukhov, Alexander I.
Kondratov, Aleksandr G.
Klein, George
Senchenko, Vera N.
Dmitriev, Alexey A.
Krasnov, George S.
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-09-28
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
A significant need for reliable and accurate cancer diagnostics and prognosis compels the search for novel biomarkers that would be able to discriminate between indolent and aggressive tumors at the early stages of disease.
The aim of this work was identification of potential diagnostic biomarkers for characterization of different types of prostate tumors.
NotI-microarrays with 180 clones associated with chromosome 3 genes/loci were applied to determine genetic and epigenetic alterations in 33 prostate tumors.
For 88 clones, aberrations were detected in more than 10% of tumors.
The major types of alterations were DNA methylation and/or deletions.
Frequent methylation of the discovered loci was confirmed by bisulfite sequencing on selective sampling of genes: FGF12, GATA2, and LMCD1.
Three genes (BHLHE40, BCL6, and ITGA9) were tested for expression level alterations using qPCR, and downregulation associated with hypermethylation was shown in the majority of tumors.
Based on these data, we proposed the set of potential biomarkers for detection of prostate cancer and discrimination between prostate tumors with different malignancy and aggressiveness: BHLHE40, FOXP1, LOC285205, ITGA9, CTDSPL, FGF12, LOC440944/SETD5, VHL, CLCN2, OSBPL10/ZNF860, LMCD1, FAM19A4, CAND2, MAP4, KY, and LRRC58.
Moreover, we probabilistically estimated putative functional relations between the genes within each set using the network enrichment analysis.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Dmitriev, Alexey A.& Rosenberg, Eugenia E.& Krasnov, George S.& Gerashchenko, Ganna V.& Gordiyuk, Vasily V.& Pavlova, Tatiana V.…[et al.]. 2015. Identification of Novel Epigenetic Markers of Prostate Cancer by NotI-Microarray Analysis. Disease Markers،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1060884
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Dmitriev, Alexey A.…[et al.]. Identification of Novel Epigenetic Markers of Prostate Cancer by NotI-Microarray Analysis. Disease Markers No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1060884
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Dmitriev, Alexey A.& Rosenberg, Eugenia E.& Krasnov, George S.& Gerashchenko, Ganna V.& Gordiyuk, Vasily V.& Pavlova, Tatiana V.…[et al.]. Identification of Novel Epigenetic Markers of Prostate Cancer by NotI-Microarray Analysis. Disease Markers. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1060884
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1060884
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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