ArticleBiomarker research2014
A panel of DNA methylation markers reveals extensive methylation in histologically benign prostate biopsy cores from cancer patients.
Article in Biomarker research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Effects of genistein supplementation on genome‑wide DNA methylation and gene expression in patients with localized prostate cancer.International journal of oncology · 2017Trial
- CpG dinucleotide methylation of the SPDEF gene as a blood-based epigenetic biomarker for prostate cancer diagnosis.BMC urology · 2025Article
- Clinical Biofluid Assays for Prostate Cancer.Cancers · 2023Review
- Liquid Biopsy in Diagnosis and Prognosis of Non-Metastatic Prostate Cancer.Biomedicines · 2022Review
- Novel methylated DNA markers accurately discriminate Lynch syndrome associated colorectal neoplasia.Epigenomics · 2020Article
- Generalized Score Matching for Non-Negative Data.Journal of machine learning research : JMLR · 2019Article
- An expanded biomarker panel for the detection of prostate cancer from urine DNA.Experimental hematology & oncology · 2019Article
- Article
- A panel of DNA methylation markers for the detection of prostate cancer from FV and DRE urine DNA.Clinical epigenetics · 2018Article
- Comprehensive Evaluation of TFF3 Promoter Hypomethylation and Molecular Biomarker Potential for Prostate Cancer Diagnosis and Prognosis.International journal of molecular sciences · 2017Article
- Heterogeneous patterns of DNA methylation-based field effects in histologically normal prostate tissue from cancer patients.Scientific reports · 2017Article
- Methylation pattern analysis in prostate cancer tissue: identification of biomarkers using an MS-MLPA approach.Journal of translational medicine · 2016Article
- Large-scale evaluation of SLC18A2 in prostate cancer reveals diagnostic and prognostic biomarker potential at three molecular levels.Molecular oncology · 2016Article
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8 authors.
Funding
Abstract
backgroundMen with a negative first prostate biopsy will undergo one or more additional biopsies if they remain at high suspicion of prostate cancer. To date, there are no diagnostic tests capable of identifying patients at risk for a positive diagnosis with the predictive power needed to eliminate unnecessary repeat biopsies. Efforts to develop clinical tests using the epigenetic signature of cores recovered from first biopsies have been limited to a few markers and lack the sensitivity and specificity needed for widespread clinical adoption.
methodsWe developed methylation-specific quantitative polymerase chain reaction assays for a panel of 24 markers that are preferentially methylated in prostate cancer. We modified the bisulfite conversion conditions to allow the integration of the methylation information from multiple markers. We determined the methylation status of the 24 markers in 213 prostate biopsy cores from 104 patients, 37 prostate cancer patients and 67 controls. We performed logistic regression on combinations of markers as well as the entire panel of 24 markers to identify the best candidates for a diagnostic test.
resultsThe marker panel differentiated between cancer cores and benign cores from non-cancer patients with 100% sensitivity and 97% specificity. Furthermore, the panel detected significant methylation in benign cores from prostate cancer patients that was not present in controls. Using methylation of 5 out of 24 to define a cancer case, the analysis of a single benign biopsy core identified 62% of prostate cancer patients undergoing repeat biopsies. ROC curve analysis showed that markers commonly methylated in benign cores from cancer patients are the best candidates for a diagnostic test. The results suggest that 5 to 10 markers will be needed to achieve optimal predictive power.
conclusionsThis study shows that epigenetic field effects differ significantly between cancer patients and controls. Their detection in benign biopsy cores can form the basis of diagnostic tests to identify patients in need of repeat biopsies, reducing the cost of continued PCA screening by up to 40%. They could also be used to identify prostate cancer patients with low grade disease who are likely candidates for active surveillance or focal therapy.
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