Detection of minimal residual disease in B lymphoblastic leukemia using viSNE.

ABSTRACT:

Background

Minimal residual disease (MRD) following treatment is a robust prognostic marker in B lymphoblastic leukemia. However, the detection of MRD by flow cytometric immunophenotyping is technically challenging, and an automated method to detect MRD is therefore desirable. viSNE, a recently developed computational tool based on the t-Distributed Stochastic Neighbor Embedding (t-SNE) algorithm, has been shown to be capable of detecting synthetic "MRD-like" populations of leukemic cells created in vitro, but whether viSNE can facilitate the immunophenotypic detection of MRD in clinical samples has not been evaluated.

Methods

We applied viSNE retrospectively to 8-color flow cytometric immunophenotyping data from normal bone marrow samples, and samples from B lymphoblastic l

SUBMITTER: DiGiuseppe JA 

PROVIDER: S-EPMC5981136 | biostudies-literature | 2015 Sep-Oct

REPOSITORIES: biostudies-literature