Dmitriev Alexey A, Rosenberg Eugenia E, Krasnov George S, Gerashchenko Ganna V, Gordiyuk Vasily V, Pavlova Tatiana V, Kudryavtseva Anna V, Beniaminov Artemy D, Belova Anastasia A, Bondarenko Yuriy N, Danilets Rostislav O, Glukhov Alexander I, Kondratov Aleksandr G, Alexeyenko Andrey, Alekseev Boris Y, Klein George, Senchenko Vera N, Kashuba Vladimir I
Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia ; P.A. Herzen Moscow Cancer Research Institute, Ministry of Healthcare of the Russian Federation, Moscow 125284, Russia.
Institute of Molecular Biology and Genetics, National Academy of Sciences of Ukraine, Kiev 03680, Ukraine.
Dis Markers. 2015;2015:241301. doi: 10.1155/2015/241301. Epub 2015 Sep 28.
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.
对可靠且准确的癌症诊断和预后的迫切需求促使人们寻找能够在疾病早期区分惰性肿瘤和侵袭性肿瘤的新型生物标志物。这项工作的目的是鉴定用于表征不同类型前列腺肿瘤的潜在诊断生物标志物。使用与3号染色体基因/位点相关的180个克隆的NotI微阵列来确定33例前列腺肿瘤中的遗传和表观遗传改变。对于88个克隆,在超过10%的肿瘤中检测到畸变。主要的改变类型是DNA甲基化和/或缺失。通过对FGF12、GATA2和LMCD1基因的选择性采样进行亚硫酸氢盐测序,证实了所发现位点的频繁甲基化。使用qPCR检测了三个基因(BHLHE40、BCL6和ITGA9)的表达水平变化,并且在大多数肿瘤中显示出与高甲基化相关的下调。基于这些数据,我们提出了一组用于检测前列腺癌以及区分具有不同恶性程度和侵袭性的前列腺肿瘤的潜在生物标志物:BHLHE40、FOXP1、LOC285205、ITGA9、CTDSPL、FGF12、LOC440944/SETD5、VHL、CLCN2、OSBPL10/ZNF860、LMCD1、FAM19A4、CAND2、MAP4、KY和LRRC58。此外,我们使用网络富集分析对每组基因之间的推定功能关系进行了概率估计。