Identification of Novel Epigenetic Markers of Prostate Cancer by NotI-Microarray Analysis
| Autor: | Vladimir I. Kashuba, Anna V. Kudryavtseva, George S. Krasnov, A. D. Beniaminov, A. A. Belova, Rostislav O. Danilets, V. N. Senchenko, Alexey A. Dmitriev, Yuriy N. Bondarenko, E. E. Rosenberg, A.I. Glukhov, Aleksandr G. Kondratov, V. V. Gordiyuk, Boris Alekseev, G. V. Gerashchenko, George Klein, Andrey Alexeyenko, Tatiana V. Pavlova |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Male
Article Subject Clinical Biochemistry Bisulfite sequencing Biology Epigenesis Genetic Prostate cancer Biomarkers Tumor Genetics medicine Humans Gene Regulatory Networks Epigenetics Molecular Biology Oligonucleotide Array Sequence Analysis lcsh:R5-920 Microarray analysis techniques Biochemistry (medical) Prostatic Neoplasms Cancer General Medicine Methylation DNA Methylation medicine.disease ComputingMethodologies_PATTERNRECOGNITION Chromosome 3 Case-Control Studies DNA methylation Cancer research lcsh:Medicine (General) Gene Deletion Research Article |
| Zdroj: | Disease Markers, Vol 2015 (2015) Disease Markers |
| ISSN: | 1875-8630 0278-0240 |
| Popis: | 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, andLMCD1. Three genes (BHLHE40,BCL6, andITGA9) 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, andLRRC58. Moreover, we probabilistically estimated putative functional relations between the genes within each set using the network enrichment analysis. |
| Databáze: | OpenAIRE |
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