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Dataset Information

PRISM: methylation pattern-based, reference-free inference of subclonal makeup.


ABSTRACT:

Motivation

Characterizing cancer subclones is crucial for the ultimate conquest of cancer. Thus, a number of bioinformatic tools have been developed to infer heterogeneous tumor populations based on genomic signatures such as mutations and copy number variations. Despite accumulating evidence for the significance of global DNA methylation reprogramming in certain cancer types including myeloid malignancies, none of the bioinformatic tools are designed to exploit subclonally reprogrammed methylation patterns to reveal constituent populations of a tumor. In accordance with the notion of global methylation reprogramming, our preliminary observations on acute myeloid leukemia (AML) samples implied the existence of subclonally occurring focal methylation aberrance throughout the genome.

SUBMITTER: Lee D 

PROVIDER: S-EPMC6612819 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature