Cell signaling-based classifier predicts response to induction therapy in elderly patients with acute myeloid leukemia.

Cell signaling-based classifier predicts response to induction therapy in elderly patients with acute myeloid leukemia.

Single-cell network profiling (SCNP) data generated from multi-parametric flow cytometry analysis of bone marrow (BM) and peripheral blood (PB) samples collected from patients >55 years old with non-M3 AML were used to train and validate a diagnostic classifier (DXSCNP) for predicting response to...

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Bibliographic Details
Main Authors: Alessandra Cesano, Cheryl L Willman, Kenneth J Kopecky, Urte Gayko, Santosh Putta, Brent Louie, Matt Westfall, Norman Purvis, David C Spellmeyer, Carol Marimpietri, Aileen C Cohen, James Hackett, Jing Shi, Michael G Walker, Zhuoxin Sun, Elisabeth Paietta, Martin S Tallman, Larry D Cripe, Susan Atwater, Frederick R Appelbaum, Jerald P Radich
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4401549?pdf=render

Internet

http://europepmc.org/articles/PMC4401549?pdf=render

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