Noti microarrays: Novel epigenetic markers for early detection and prognosis of high grade serous ovarian cancer

22Citations
Citations of this article
19Readers
Mendeley users who have this article in their library.

Abstract

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. © 2012 by the authors; licensee MDPI, Basel, Switzerland.

Cite

CITATION STYLE

APA

Kashuba, V., Dmitriev, A. A., Krasnov, G. S., Pavlova, T., Ignatjev, I., Gordiyuk, V. V., … Zabarovsky, E. (2012). Noti microarrays: Novel epigenetic markers for early detection and prognosis of high grade serous ovarian cancer. International Journal of Molecular Sciences, 13(10), 13352–13377. https://doi.org/10.3390/ijms131013352

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free