ArticleGenome research2008
Massively parallel bisulphite pyrosequencing reveals the molecular complexity of breast cancer-associated cytosine-methylation patterns obtained from tissue and serum DNA.
Article in Genome research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.
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Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled it, 129 citations in OpenAlex.
- Value of circulating cell-free DNA analysis as a diagnostic tool for breast cancer: a meta-analysis.Oncotarget · 2017Pooled it
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- The changing face of circulating tumor DNA (ctDNA) profiling: Factors that shape the landscape of methodologies, technologies, and commercialization.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2023Article
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- New Perspectives on the Importance of Cell-Free DNA Biology.Diagnostics (Basel, Switzerland) · 2022Review
- Size and Methylation Index of Cell-Free and Cell-Surface-Bound DNA in Blood of Breast Cancer Patients in the Contest of Liquid Biopsy.International journal of molecular sciences · 2022Article
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- Colorectal cancer patients withAging · 2020Article
- Clinical implications of intratumor heterogeneity: challenges and opportunities.Journal of molecular medicine (Berlin, Germany) · 2020Review
- Long-read single-molecule maps of the functional methylome.Genome research · 2019Article
- DNA Methylation Profiles and Their Diagnostic Utility in BC.Disease markers · 2019Article
- Longitudinal analysis of colon crypt stem cell dynamics in sulindac treated Familial Adenomatous Polyposis patients.Scientific reports · 2017Article
- Intratumoral Heterogeneity of the Epigenome.Cancer cell · 2016Review
- BSPAT: a fast online tool for DNA methylation co-occurrence pattern analysis based on high-throughput bisulfite sequencing data.BMC bioinformatics · 2015Article
- Whole-genome bisulfite sequencing of cell-free DNA identifies signature associated with metastatic breast cancer.Clinical epigenetics · 2015Article
- Quantification of epigenetic biomarkers: an evaluation of established and emerging methods for DNA methylation analysis.BMC genomics · 2014Article
- Article
- DNA methylation profiling in breast cancer discordant identical twins identifies DOK7 as novel epigenetic biomarker.Carcinogenesis · 2013Article
- Masculine epigenetic sex marks of the CYP19A1/aromatase promoter in genetically male chicken embryonic gonads are resistant to estrogen-induced phenotypic sex conversion.Biology of reproduction · 2012Article
- Cell-free DNA in blood is a potential diagnostic biomarker of breast cancer.Oncology letters · 2012Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cytosine-methylation changes are stable and thought to be among the earliest events in tumorigenesis. Theoretically, DNA carrying tumor-specifying methylation patterns escape the tumors and may be found circulating in the sera from cancer patients, thus providing the basis for development of noninvasive clinical tests for early cancer detection. Indeed, using methylation-specific PCR-based techniques, several groups reported the detection of tumor-associated methylated DNA in the sera from cancer patients with varying clinical success. However, by design, such analytical approaches allow assessment of the presence of molecules with only one methylation pattern, leaving the bigger picture unexplored. The limited knowledge about circulating DNA methylation patterns hinders the efficient development of clinical methylation tests and testing platforms. Here, we report the results of a comprehensive methylation pattern analysis from breast cancer clinical tissues and sera obtained using massively parallel bisulphite pyrosequencing. The four loci studied were recently discovered by our group, and demonstrated to be powerful epigenetic biomarkers of breast cancer. The detailed analysis of more than 700,000 DNA fragments derived from more than 50 individuals (cancer and cancer-free) revealed an unappreciated complexity of genomic cytosine-methylation patterns in both tissue derived and circulating DNAs. Both tumor and cancer-free tissues (as well as sera) contained molecules with nearly every conceivable cytosine-methylation pattern at each locus. Tumor samples displayed more variation in methylation level than normal samples. Importantly, by establishing the methylation landscape within circulating DNA, this study has better defined the development challenges facing DNA methylation-based cancer-detection tests.
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