International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data
Daniel A. Arber
1
,
Attilio Orazi
2
,
Robert P. Hasserjian
3
,
Michael J. Borowitz
4
,
Katherine R. Calvo
5
,
Hans Michael Kvasnicka
6
,
Sa A. Wang
7
,
Adam Bagg
8
,
Tiziano Barbui
9
,
Susan Branford
10
,
Carlos E. Bueso-Ramos
7
,
Jorge E. Cortes
11
,
Paola Dal Cin
12
,
Hervé Dombret
13
,
Eric J Duncavage
14
,
B. Ebert
15
,
Elihu H Estey
16
,
Fabio Facchetti
17
,
Kathryn Foucar
18
,
Naseema Gangat
19
,
Umberto Gianelli
20
,
Lucy A. Godley
1
,
Nicola Gökbuget
21
,
Jason Gotlib
22
,
Eva Hellström-Lindberg
23
,
Gabriela Hobbs
3
,
Ronald Hoffman
24
,
Elias J. Jabbour
7
,
Jean-Jacques Kiladjian
13
,
Richard S. Larson
1
,
Michelle M. Le Beau
1
,
Mignon L C Loh
25
,
B Löwenberg
26
,
Elizabeth T. MacIntyre
27
,
Luca Malcovati
28
,
Charles G Mullighan
29
,
Charlotte M. Niemeyer
30
,
Olatoyosi M Odenike
1
,
Seishi Ogawa
31
,
Alberto Orfao
32
,
Elli Papaemmanuil
33
,
Francesco Passamonti
28
,
K. V. K. Porkka
34
,
Ching-Hon Pui
29
,
Jerald P. Radich
35
,
Andreas Reiter
36
,
Maria Rozman
37
,
Martina Rudelius
38
,
Michael R. Savona
39
,
Charles A Schiffer
40
,
Annette Schmitt-Graeff
41
,
Akiko Shimamura
15, 42
,
Jorge Sierra
43
,
Wendy A Stock
1
,
Richard M. Stone
15
,
Martin S. Tallman
44
,
Jürgen Thiele
45
,
Hwei-Fang Tien
46
,
Alexandar Tzankov
47
,
Paresh Vyas
49
,
A. Wei
50
,
Olga K. Weinberg
51
,
A. Wierzbowska
52
,
Mario Cazzola
28
,
H. ‐J. Döhner
53
,
Ayalew Tefferi
19
3
3Massuchusetts General Hospital, Boston, MA;
9
9Clinical Research Foundation, Papa Giovanni XXIII Hospital, Bergamo, Italy;
|
10
10Centre for Cancer Biology, Adelaide, SA, Australia;
|
11
11Georgia Cancer Center, Augusta, GA;
|
24
24Mount Sinai Medical Center, New York, NY;
|
26
26Erasmus Medical Center, Rotterdam, Netherlands;
|
40
40Karmanos Cancer Institute, Detroit, MI;
|
50
Тип публикации: Journal Article
Дата публикации: 2022-09-15
scimago Q1
wos Q1
БС1
SJR: 5.823
CiteScore: 23.0
Impact factor: 23.1
ISSN: 00064971, 15280020
PubMed ID:
35767897
Biochemistry
Cell Biology
Immunology
Hematology
Краткое описание
The classification of myeloid neoplasms and acute leukemias was last updated in 2016 within a collaboration between the World Health Organization (WHO), the Society for Hematopathology, and the European Association for Haematopathology. This collaboration was primarily based on input from a clinical advisory committees (CACs) composed of pathologists, hematologists, oncologists, geneticists, and bioinformaticians from around the world. The recent advances in our understanding of the biology of hematologic malignancies, the experience with the use of the 2016 WHO classification in clinical practice, and the results of clinical trials have indicated the need for further revising and updating the classification. As a continuation of this CAC-based process, the authors, a group with expertise in the clinical, pathologic, and genetic aspects of these disorders, developed the International Consensus Classification (ICC) of myeloid neoplasms and acute leukemias. Using a multiparameter approach, the main objective of the consensus process was the definition of real disease entities, including the introduction of new entities and refined criteria for existing diagnostic categories, based on accumulated data. The ICC is aimed at facilitating diagnosis and prognostication of these neoplasms, improving treatment of affected patients, and allowing the design of innovative clinical trials.
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ГОСТ
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Arber D. A. et al. International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data // Blood. 2022. Vol. 140. No. 11. pp. 1200-1228.
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Arber D. A. et al. International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data // Blood. 2022. Vol. 140. No. 11. pp. 1200-1228.
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RIS
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TY - JOUR
DO - 10.1182/blood.2022015850
UR - https://doi.org/10.1182/blood.2022015850
TI - International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data
T2 - Blood
AU - Arber, Daniel A.
AU - Orazi, Attilio
AU - Hasserjian, Robert P.
AU - Borowitz, Michael J.
AU - Calvo, Katherine R.
AU - Kvasnicka, Hans Michael
AU - Wang, Sa A.
AU - Bagg, Adam
AU - Barbui, Tiziano
AU - Branford, Susan
AU - Bueso-Ramos, Carlos E.
AU - Cortes, Jorge E.
AU - Dal Cin, Paola
AU - DiNardo, Courtney D.
AU - Dombret, Hervé
AU - Duncavage, Eric J
AU - Ebert, B.
AU - Estey, Elihu H
AU - Facchetti, Fabio
AU - Foucar, Kathryn
AU - Gangat, Naseema
AU - Gianelli, Umberto
AU - Godley, Lucy A.
AU - Gökbuget, Nicola
AU - Gotlib, Jason
AU - Hellström-Lindberg, Eva
AU - Hobbs, Gabriela
AU - Hoffman, Ronald
AU - Jabbour, Elias J.
AU - Kiladjian, Jean-Jacques
AU - Larson, Richard S.
AU - Le Beau, Michelle M.
AU - Loh, Mignon L C
AU - Löwenberg, B
AU - MacIntyre, Elizabeth T.
AU - Malcovati, Luca
AU - Mullighan, Charles G
AU - Niemeyer, Charlotte M.
AU - Odenike, Olatoyosi M
AU - Ogawa, Seishi
AU - Orfao, Alberto
AU - Papaemmanuil, Elli
AU - Passamonti, Francesco
AU - Porkka, K. V. K.
AU - Pui, Ching-Hon
AU - Radich, Jerald P.
AU - Reiter, Andreas
AU - Rozman, Maria
AU - Rudelius, Martina
AU - Savona, Michael R.
AU - Schiffer, Charles A
AU - Schmitt-Graeff, Annette
AU - Shimamura, Akiko
AU - Sierra, Jorge
AU - Stock, Wendy A
AU - Stone, Richard M.
AU - Tallman, Martin S.
AU - Thiele, Jürgen
AU - Tien, Hwei-Fang
AU - Tzankov, Alexandar
AU - Vannucchi, Alessandro M
AU - Vyas, Paresh
AU - Wei, A.
AU - Weinberg, Olga K.
AU - Wierzbowska, A.
AU - Cazzola, Mario
AU - Döhner, H. ‐J.
AU - Tefferi, Ayalew
PY - 2022
DA - 2022/09/15
PB - American Society of Hematology
SP - 1200-1228
IS - 11
VL - 140
PMID - 35767897
SN - 0006-4971
SN - 1528-0020
ER -
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@article{2022_Arber,
author = {Daniel A. Arber and Attilio Orazi and Robert P. Hasserjian and Michael J. Borowitz and Katherine R. Calvo and Hans Michael Kvasnicka and Sa A. Wang and Adam Bagg and Tiziano Barbui and Susan Branford and Carlos E. Bueso-Ramos and Jorge E. Cortes and Paola Dal Cin and Courtney D. DiNardo and Hervé Dombret and Eric J Duncavage and B. Ebert and Elihu H Estey and Fabio Facchetti and Kathryn Foucar and Naseema Gangat and Umberto Gianelli and Lucy A. Godley and Nicola Gökbuget and Jason Gotlib and Eva Hellström-Lindberg and Gabriela Hobbs and Ronald Hoffman and Elias J. Jabbour and Jean-Jacques Kiladjian and Richard S. Larson and Michelle M. Le Beau and Mignon L C Loh and B Löwenberg and Elizabeth T. MacIntyre and Luca Malcovati and Charles G Mullighan and Charlotte M. Niemeyer and Olatoyosi M Odenike and Seishi Ogawa and Alberto Orfao and Elli Papaemmanuil and Francesco Passamonti and K. V. K. Porkka and Ching-Hon Pui and Jerald P. Radich and Andreas Reiter and Maria Rozman and Martina Rudelius and Michael R. Savona and others},
title = {International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data},
journal = {Blood},
year = {2022},
volume = {140},
publisher = {American Society of Hematology},
month = {sep},
url = {https://doi.org/10.1182/blood.2022015850},
number = {11},
pages = {1200--1228},
doi = {10.1182/blood.2022015850}
}
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MLA
Скопировать
Arber, Daniel A., et al. “International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data.” Blood, vol. 140, no. 11, Sep. 2022, pp. 1200-1228. https://doi.org/10.1182/blood.2022015850.