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

被引:17
|
作者
Kashuba, Vladimir [1 ,2 ]
Dmitriev, Alexey A. [3 ]
Krasnov, George S. [3 ]
Pavlova, Tatiana [1 ]
Ignatjev, Ilya [1 ]
Gordiyuk, Vasily V. [2 ]
Gerashchenko, Anna V. [2 ]
Braga, Eleonora A. [4 ]
Yenamandra, Surya P. [1 ]
Lerman, Michael [5 ]
Senchenko, Vera N. [3 ]
Zabarovsky, Eugene [1 ,3 ,6 ]
机构
[1] Karolinska Inst, Dept Microbiol Tumor & Cell Biol, SE-17177 Stockholm, Sweden
[2] NASU, Dept Mol Oncogenet, Inst Mol Biol & Genet, UA-01000 Kiev, Ukraine
[3] Russian Acad Sci, Engelhard Inst Mol Biol, Lab Struct & Funct Genom, Moscow 119991, Russia
[4] Russian State Genet Ctr GosNIIgenetika, Moscow 117545, Russia
[5] Affina Biotechnol, Stamford, CT 06902 USA
[6] Linkoping Univ, Dept Clin & Expt Med, SE-58185 Linkoping, Sweden
基金
俄罗斯基础研究基金会; 瑞典研究理事会;
关键词
ovarian cancer; biomarkers; NotI microarrays; epigenetics; early detection of ovarian cancer; prognosis of ovarian cancer; TUMOR-SUPPRESSOR GENE; CELL LUNG-CANCER; FAMILIAL MYELODYSPLASTIC SYNDROME; DNA METHYLATION PATTERNS; HORMONE RECEPTOR-BETA; RIBOSOMAL-PROTEIN L15; CANDIDATE GENES; LINKING CLONES; FREQUENT ALTERATIONS; TRANSCRIPTION FACTOR;
D O I
10.3390/ijms131013352
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:13352 / 13377
页数:26
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