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Molecular detection of B-cell neoplasms by specific DNA methylation biomarkers.

Authors: Wang, Michael X; Wang, Huan-You; Zhao, Xiaohui; Srilatha, Nalluri; Zheng, Dali; Shi, Huidong; Ning, Jie; +4 Authors

Molecular detection of B-cell neoplasms by specific DNA methylation biomarkers.

Abstract

A novel, easy to perform PCR-based method employing specific DNA methylation biomarkers to detect B-cell neoplasms in a variety of B-cell lines and B lymphoblastic leukemia (B-ALL) patient specimens has been developed. This method detects as few as 5 B-ALL cells, or 1 B-ALL cell in 1,000,000 normal background blood cells using a single marker, DLC-1 gene CpG island (CGI) methylation. By adding two additional markers PCDHGA12 and RPIB9, over 80% of B-ALL cases were detected in patients' bone marrow and/or peripheral blood specimens. We have traced clinical B-ALL cases up to 10 years retrospectively and the DLC-1 methylation is correlated with patient clinical status. Thus, this epigenetic-based molecular method demonstrates its potential use in the diagnosis of B-cell neoplasia, in addition to traditional approach such as clinical features, morphology, immunophenotype, and genetic analysis.

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United States
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Keywords

Adult, Male, Lymphoma, B-Cell, Adolescent, Nerve Tissue Proteins, Mature B-cell neoplasms, Cell Line, Tumor, Biomarkers, Tumor, Leukemia, B-Cell, Humans, Child, Aged, Aged, 80 and over, GTPase-Activating Proteins, Intracellular Signaling Peptides and Proteins, DNA, Neoplasm, DNA methylation biomarker, DNA Methylation, Middle Aged, B lymphoblastic leukemia, Child, Preschool, Female, Carrier Proteins

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Average
Top 10%
Green
gold