ArticleGenetic epidemiology2014
Genome-wide investigation of regional blood-based DNA methylation adjusted for complete blood counts implicates BNC2 in ovarian cancer.
Article in Genetic epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 22 citations in OpenAlex.
- BNC2 in Development and Disease: Regulatory Mechanisms and Translational Implications.Molecules (Basel, Switzerland) · 2026Review
- Article
- The DNA methylome of cervical cells can predict the presence of ovarian cancer.Nature communications · 2022Observational
- DNA Methylation in Ovarian Cancer Susceptibility.Cancers · 2020Review
- Methylation and ovarian cancer: Can DNA methylation be of diagnostic use?Molecular and clinical oncology · 2019Review
- Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk.Cancer research · 2019Article
- Utility Of Plasma circBNC2 As A Diagnostic Biomarker In Epithelial Ovarian Cancer.OncoTargets and therapy · 2019Article
- Epigenome-based cancer risk prediction: rationale, opportunities and challenges.Nature reviews. Clinical oncology · 2018Review
- DNA methylation signatures and coagulation factors in the peripheral blood leucocytes of epithelial ovarian cancer.Carcinogenesis · 2017Article
- Recurrent noncoding regulatory mutations in pancreatic ductal adenocarcinoma.Nature genetics · 2017Article
- Human basonuclin 2 up-regulates a cascade set of interferon-stimulated genes with anti-cancerous properties in a lung cancer model.Cancer cell international · 2017Article
- BNC2 is a putative tumor suppressor gene in high-grade serous ovarian carcinoma and impacts cell survival after oxidative stress.Cell death & disease · 2016Article
- Arsenic Exposure and Epigenetic Alterations: Recent Findings Based on the Illumina 450K DNA Methylation Array.Current environmental health reports · 2015Review
- Correlations between ASCC3 Gene Polymorphisms and Chronic Hepatitis B in a Chinese Han Population.PloS one · 2015Article
- Fusion of theIn vivo (Athens, Greece)Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Due to its potential as a biomarker for early cancer detection, blood-based DNA methylation (DNAm) is of interest in cancer research. Specifically, highly predictive mechanisms for early detection of epithelial ovarian cancer (EOC) are desired, so previous studies have compared DNAm between EOC cases and controls. However, case-control studies are confounded by the distribution of white blood cell types through an immune response induced by the cancer. Rather than determining the distribution of the cell types manually or investigating isolated cell types, an alternative approach involves the use of complete blood count (CBC), which is routinely collected. In the analysis of an EOC case-control study of DNAm, we incorporate CBC measures to adjust for this confounding and compare DNAm between 242 EOC cases and 181 age-matched controls (assayed on the Illumina Infinium HumanMethylation27 or HumanMethylation450 Beadchips), at both the individual CpG and CpG island levels. We found that adjustment for leukocyte distribution using CBC measurements dramatically reduced confounding, with 62 single CpG sites found to be associated with EOC status after adjustment (P < 5E-8). Additionally, regional DNAm was assessed by applying principal components analysis to CpG islands. The top associated CpG island (P = 7E-6) was located in the promoter/transcription start site of the human basonuclin 2 gene (BNC2), a known susceptibility gene for EOC risk identified through GWAS. Follow-up studies are necessary to establish the role of BNC2 in blood-based DNA and EOC, including prospective studies to validate this region as a potential biomarker and predictor of EOC susceptibility.
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