Detection of minimal residual disease in B lymphoblastic leukemia using viSNE.
Detection of minimal residual disease in B lymphoblastic leukemia using viSNE.
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DOI：
10.1002/cyto.b.21252
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发表时间：
2015-09
期刊：
影响因子：
--
通讯作者：
Pe'er D
中科院分区：
文献类型：
--
作者：
DiGiuseppe JA;Tadmor MD;Pe'er D
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. We applied viSNE retrospectively to 8-color flow cytometric immunophenotyping data from normal bone marrow samples, and samples from B lymphoblastic leukemia patients with or without suspected MRD on the basis of conventional manual gating. In each of 14 bone marrow specimens containing MRD or suspected MRD, viSNE identified a putative MRD population; an abnormal composite immunophenotype was confirmed for the putative MRD in each case. MRD populations were not identified by viSNE in control bone marrow samples from patients with increased normal B-cell precursors, or in post-treatment samples from B lymphoblastic leukemia patients who did not have detectable MRD by manual gating. viSNE shows promise as an automated method to facilitate immunophenotypic MRD detection in patients treated for B lymphoblastic leukemia.
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影响因子：
3.4
作者：
Dworzak, Michael Norbert;Gaipa, Giuseppe;Basso, Giuseppe
通讯作者：
Basso, Giuseppe
DOI：
10.1126/science.1198704
发表时间：
2011-05-06
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Bendall SC;Simonds EF;Qiu P;Amir el-AD;Krutzik PO;Finck R;Bruggner RV;Melamed R;Trejo A;Ornatsky OI;Balderas RS;Plevritis SK;Sachs K;Pe'er D;Tanner SD;Nolan GP
通讯作者：
Nolan GP
影响因子：
48
作者：
Aghaeepour N;Finak G;FlowCAP Consortium;DREAM Consortium;Hoos H;Mosmann TR;Brinkman R;Gottardo R;Scheuermann RH
通讯作者：
Scheuermann RH
影响因子：
45.3
作者：
Basso, Giuseppe;Veltroni, Marinella;Gaipa, Giuseppe
通讯作者：
Gaipa, Giuseppe
影响因子：
20.3
作者：
Borowitz, Michael J.;Devidas, Meenakshi;Camitta, Bruce M.
通讯作者：
Camitta, Bruce M.