Enumerating bone marrow blasts from nonerythroid cellularity improves outcome prediction in myelodysplastic syndromes and permits a better definition of the intermediate risk category of the Revised International Prognostic Scoring System (IPSS-R)

被引:12
作者
Calvo, Xavier [1 ]
Arenillas, Leonor [1 ]
Luno, Elisa [2 ]
Senent, Leonor [3 ]
Arnan, Montserrat [4 ]
Ramos, Fernando [5 ]
Pedro, Carme [6 ]
Tormo, Mar [7 ]
Montoro, Julia [8 ]
Diez-Campelo, Maria [9 ]
Blanco, Maria Laura [10 ]
Arrizabalaga, Beatriz [11 ]
Xicoy, Blanca [12 ]
Bonanad, Santiago [3 ]
Jerez, Andres [13 ]
Nomdedeu, Meritxell [14 ]
Ferrer, Ana [1 ]
Sanz, Guillermo F. [3 ]
Florensa, Lourdes [1 ]
机构
[1] IMIM Hosp del Mar Res Inst, Lab Citol Hematol, Serv Patol, GRETNHE, Barcelona, Spain
[2] Hosp Univ Cent Asturias, Serv Hematol, Oviedo, Spain
[3] Hosp Univ La Fe, Serv Hematol, Valencia, Spain
[4] ICO Hospitalet Llobregat, Serv Hematol, Lhospitalet De Llobregat, Spain
[5] Hosp Univ Leon, Serv Hematol, Leon, Spain
[6] IMIM Hosp del Mar Res Inst, Serv Hematol, Barcelona, Spain
[7] Hosp Clin Univ Valencia, Serv Hematol, Valencia, Spain
[8] Hosp Univ Vall dHebron, Serv Hematol, Barcelona, Spain
[9] Hosp Univ Salamanca, Serv Hematol, Salamanca, Spain
[10] Univ Autonoma Barcelona, Serv Hematol, Hosp Santa Creu & St Pau, Barcelona, Spain
[11] Hosp Univ Cruces, Serv Hematol, Baracaldo, Spain
[12] ICO Badalona, Serv Hematol, Badalona, Spain
[13] Hosp Morales Meseguer, Serv Hematol & Oncol Med, IMIB Arrixaca, Murcia, Spain
[14] Hosp Clin Barcelona, Serv Hematol, Barcelona, Spain
关键词
ACUTE MYELOID-LEUKEMIA; CONCORDANCE PROBABILITY; CLASSIFICATION; VALIDATION; SURVIVAL; PROPOSALS; MORTALITY; TIME;
D O I
10.1002/ajh.24732
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The Revised International Prognostic Scoring System (IPSS-R) has been recognized as the score with the best outcome prediction capability in MDS, but this brought new concerns about the accurate prognostication of patients classified into the intermediate risk category. The correct enumeration of blasts is essential in prognostication of MDS. Recent data evidenced that considering blasts from nonerythroid cellularity (NECs) improves outcome prediction in the context of IPSS and WHO classification. We assessed the percentage of blasts from total nucleated cells (TNCs) and NECs in 3924 MDS patients from the GESMD, 498 of whom were MDS with erythroid predominance (MDS-E). We assessed if calculating IPSS-R by enumerating blasts from NECs improves prognostication of MDS. Twenty-four percent of patients classified into the intermediate category were reclassified into higher-risk categories and showed shorter overall survival (OS) and time to AML evolution than those who remained into the intermediate one. Likewise, a better distribution of patients was observed, since lower-risk patients showed longer survivals than previously whereas higher-risk ones maintained the outcome expected in this poor prognostic group (median OS < 20 months). Furthermore, our approach was particularly useful for detecting patients at risk of dying with AML. Regarding MDS-E, 51% patients classified into the intermediate category were reclassified into higher-risk ones and showed shorter OS and time to AML. In this subgroup of MDS, IPSS-R was capable of splitting our series in five groups with significant differences in OS only when blasts were assessed from NECs. In conclusion, our easy-applicable approach improves prognostic assessment of MDS patients.
引用
收藏
页码:614 / 621
页数:8
相关论文
共 22 条
[1]   The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia [J].
Arber, Daniel A. ;
Orazi, Attilio ;
Hasserjian, Robert ;
Thiele, Jurgen ;
Borowitz, Michael J. ;
Le Beau, Michelle M. ;
Bloomfield, Clara D. ;
Cazzola, Mario ;
Vardiman, James W. .
BLOOD, 2016, 127 (20) :2391-2405
[2]   Considering Bone Marrow Blasts From Nonerythroid Cellularity Improves the Prognostic Evaluation of Myelodysplastic Syndromes [J].
Arenillas, Leonor ;
Calvo, Xavier ;
Luno, Elisa ;
Senent, Leonor ;
Alonso, Esther ;
Ramos, Fernando ;
Teresa Ardanaz, Maria ;
Pedro, Carme ;
Tormo, Mar ;
Marco, Victor ;
Montoro, Julia ;
Diez-Campelo, Maria ;
Brunet, Salut ;
Arrizabalaga, Beatriz ;
Xicoy, Blanca ;
Andreu, Rafael ;
Bonanad, Santiago ;
Jerez, Andres ;
Nomdedeu, Benet ;
Ferrer, Ana ;
Sanz, Guillermo F. ;
Florensa, Lourdes .
JOURNAL OF CLINICAL ONCOLOGY, 2016, 34 (27) :3284-+
[3]   PROPOSALS FOR THE CLASSIFICATION OF THE MYELODYSPLASTIC SYNDROMES [J].
BENNETT, JM ;
CATOVSKY, D ;
DANIEL, MT ;
FLANDRIN, G ;
GALTON, DAG ;
GRALNICK, HR ;
SULTAN, C .
BRITISH JOURNAL OF HAEMATOLOGY, 1982, 51 (02) :189-199
[4]   PROPOSALS FOR CLASSIFICATION OF ACUTE LEUKEMIAS [J].
BENNETT, JM ;
CATOVSKY, D ;
DANIEL, MT ;
FLANDRIN, G ;
GALTON, DAG ;
GRALNICK, HR ;
SULTAN, C .
BRITISH JOURNAL OF HAEMATOLOGY, 1976, 33 (04) :451-&
[5]  
BENNETT JM, 1981, CANCER RES, V41, P4833
[6]   PROPOSED REVISED CRITERIA FOR THE CLASSIFICATION OF ACUTE MYELOID-LEUKEMIA - A REPORT OF THE FRENCH-AMERICAN-BRITISH COOPERATIVE GROUP [J].
BENNETT, JM ;
CATOVSKY, D ;
DANIEL, MT ;
FLANDRIN, G ;
GALTON, DAG ;
GRALNICK, HR ;
SULTAN, C .
ANNALS OF INTERNAL MEDICINE, 1985, 103 (04) :620-625
[7]   Dysplastic erythroid precursors in the myelodysplastic syndromes and the acute myeloid leukemias: Is there biologic significance? (How should blasts be counted?) [J].
Bennett, John M. ;
Tuechler, Heinz ;
Aul, Carlo ;
Strupp, Corinna ;
Germing, Ulrich .
LEUKEMIA RESEARCH, 2016, 47 :63-69
[8]  
Brunning RD., 2008, WHO CLASSIFICATION T, V4tH ed lARC, P87
[9]   Validation of WHO classification-based Prognostic Scoring System (WPSS) for myelodysplastic syndromes and comparison with the revised International Prognostic Scoring System (IPSS-R). A study of the International Working Group for Prognosis in Myelodysplasia (IWG-PM) [J].
Della Porta, M. G. ;
Tuechler, H. ;
Malcovati, L. ;
Schanz, J. ;
Sanz, G. ;
Garcia-Manero, G. ;
Sole, F. ;
Bennett, J. M. ;
Bowen, D. ;
Fenaux, P. ;
Dreyfus, F. ;
Kantarjian, H. ;
Kuendgen, A. ;
Levis, A. ;
Cermak, J. ;
Fonatsch, C. ;
Le Beau, M. M. ;
Slovak, M. L. ;
Krieger, O. ;
Luebbert, M. ;
Maciejewski, J. ;
Magalhaes, S. M. M. ;
Miyazaki, Y. ;
Pfeilstoecker, M. ;
Sekeres, M. A. ;
Sperr, W. R. ;
Stauder, R. ;
Tauro, S. ;
Valent, P. ;
Vallespi, T. ;
van de Loosdrecht, A. A. ;
Germing, U. ;
Haase, D. ;
Greenberg, P. L. ;
Cazzola, M. .
LEUKEMIA, 2015, 29 (07) :1502-1513
[10]   Concordance probability and discriminatory power in proportional hazards regression [J].
Gönen, M ;
Heller, G .
BIOMETRIKA, 2005, 92 (04) :965-970