ArticleInternational journal of molecular sciences2012
NotI microarrays: novel epigenetic markers for early detection and prognosis of high grade serous ovarian cancer.
Article in International journal of molecular sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Multiple highly methylated CpG sites as potential epigenetic markers for the diagnosis of prostate cancer.Clinical epigenetics · 2025Article
- Article
- Tumor Suppressor Properties of Small C-Terminal Domain Phosphatases in Clear Cell Renal Cell Carcinoma.International journal of molecular sciences · 2023Article
- Analysis of the effect of NEKs on the prognosis of patients with non-small-cell lung carcinoma based on bioinformatics.Scientific reports · 2022Article
- Population structure and genetic diversity in yellow catfish (Journal of genetics · 2019Article
- Regulatory network involving miRNAs and genes in serous ovarian carcinoma.Oncology letters · 2017Article
- Identification of Novel Epigenetic Markers of Prostate Cancer by NotI-Microarray Analysis.Disease markers · 2015Article
- Article
- Epigenetic alterations of chromosome 3 revealed by NotI-microarrays in clear cell renal cell carcinoma.BioMed research international · 2014Article
- Novel tumor suppressor candidates on chromosome 3 revealed by NotI-microarrays in cervical cancer.Epigenetics · 2013Article
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12 authors.
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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.
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