Flow cytometry based monocyte subset analysis accurately distinguishes chronic myelomonocytic leukemia from myeloproliferative neoplasms with associated monocytosis

M. M. Patnaik; M. M. Timm; R. Vallapureddy; T. L. Lasho; R. P. Ketterling; N. Gangat; M. Shi; A. Tefferi; E. Solary; K. K. Reichard; D. Jevremovic

doi:10.1038/BCJ.2017.66

Flow cytometry based monocyte subset analysis accurately distinguishes chronic myelomonocytic leukemia from myeloproliferative neoplasms with associated monocytosis

M. M. Patnaik, M. M. Timm, R. Vallapureddy, T. L. Lasho, R. P. Ketterling, N. Gangat, M. Shi, A. Tefferi, E. Solary, K. K. Reichard, D. Jevremovic

Research output: Contribution to journal › Letter › peer-review

38 Scopus citations

Original language	English (US)
Article number	e584
Journal	Blood cancer journal
Volume	7
Issue number	7
DOIs	https://doi.org/10.1038/BCJ.2017.66
State	Published - 2017

ASJC Scopus subject areas

Hematology
Oncology

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10.1038/BCJ.2017.66

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Patnaik, M. M., Timm, M. M., Vallapureddy, R., Lasho, T. L., Ketterling, R. P., Gangat, N., Shi, M., Tefferi, A., Solary, E., Reichard, K. K., & Jevremovic, D. (2017). Flow cytometry based monocyte subset analysis accurately distinguishes chronic myelomonocytic leukemia from myeloproliferative neoplasms with associated monocytosis. Blood cancer journal, 7(7), [e584]. https://doi.org/10.1038/BCJ.2017.66

Patnaik, MM, Timm, MM, Vallapureddy, R, Lasho, TL, Ketterling, RP, Gangat, N, Shi, M, Tefferi, A, Solary, E, Reichard, KK & Jevremovic, D 2017, 'Flow cytometry based monocyte subset analysis accurately distinguishes chronic myelomonocytic leukemia from myeloproliferative neoplasms with associated monocytosis', Blood cancer journal, vol. 7, no. 7, e584. https://doi.org/10.1038/BCJ.2017.66

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title = "Flow cytometry based monocyte subset analysis accurately distinguishes chronic myelomonocytic leukemia from myeloproliferative neoplasms with associated monocytosis",

author = "Patnaik, {M. M.} and Timm, {M. M.} and R. Vallapureddy and Lasho, {T. L.} and Ketterling, {R. P.} and N. Gangat and M. Shi and A. Tefferi and E. Solary and Reichard, {K. K.} and D. Jevremovic",

note = "Funding Information: Current publication is supported in part by grants from the {\textquoteleft}The Henry J. Predolin Foundation for Research in Leukemia, Mayo Clinic, Rochester, MN, USA{\textquoteright}. This publication was supported by CTSA Grant Number KL2 TR000136 from the National Center for Advancing Translational Science (NCATS). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH.",

year = "2017",

doi = "10.1038/BCJ.2017.66",

language = "English (US)",

volume = "7",

journal = "Blood Cancer Journal",

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AU - Patnaik, M. M.

AU - Timm, M. M.

AU - Vallapureddy, R.

AU - Lasho, T. L.

AU - Ketterling, R. P.

AU - Gangat, N.

AU - Shi, M.

AU - Tefferi, A.

AU - Solary, E.

AU - Reichard, K. K.

AU - Jevremovic, D.

N1 - Funding Information: Current publication is supported in part by grants from the ‘The Henry J. Predolin Foundation for Research in Leukemia, Mayo Clinic, Rochester, MN, USA’. This publication was supported by CTSA Grant Number KL2 TR000136 from the National Center for Advancing Translational Science (NCATS). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH.

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DO - 10.1038/BCJ.2017.66

M3 - Letter

C2 - 28731458

AN - SCOPUS:85045793990

SN - 2044-5385

VL - 7

JO - Blood Cancer Journal

JF - Blood Cancer Journal

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ER -

Flow cytometry based monocyte subset analysis accurately distinguishes chronic myelomonocytic leukemia from myeloproliferative neoplasms with associated monocytosis

ASJC Scopus subject areas

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