Abstract
Chronic Myelomonocytic Leukemia (CMML) is a clonal disorder sharing features of myelodysplastic syndromes (MD) and myeloproliferative (MP) disorders. The CMML-Prognostic-Scoring-System (CPSS) was designed specifically for these patients. Recently, the WHO committee proposed classifying them into: CMML-0, -1 and 2. Since both proposals have not been widely reproduced, our aim was to validate them and to evaluate different prognostic factors in a series of 277 patients with CMML from South America (197-Argentina and 80-Brazil).
CMML patients showed a median age of 72.6 years and a gender ratio M/F: 2.1. With a median overall survival of 32.6 months, 61(22.0%) evolved to AML and 157(56.7%) died. All evaluated variables, including the WHO-2016 proposal and all prognostic scoring systems, were useful to predict the outcome in our population (Kaplan-Meier and log-rank test, p<0.05). The CPSS-Hb (hemoglobin threshold of 10g/dL) sustained its independence for survival (p<0.001, HR1.856) and evolution to AML (p<0.001, HR 2.275) in a multivariate model including the other CPSS variants (Cox-Regression, Backward-Stepwise method). Afterward, variables not originally considered into the CPSS were included in multivariate analyses. The WHO proposal sustained its independency as an adverse prognostic factor to predict survival and evolution to AML (p=0.005 and p=0.001, HR1.420 and 1.964) when compared with the CPSS-Hb variant (p<0.001, HR1.741 and 1.890). Also, IPSS-R platelet cut-points were relevant to predict leukemic evolution (p=0.003, HR 2.929).
Our results showed that the new WHO-2016 proposal adds prognostic information to the CPSS, and that platelet count is also important to predict leukemic evolution in CMML patients.
References
2. Itzykson R, Duchmann M, Lucas N, Solary E. CMML: Clinical and molecular aspects. Int J Hematol. 2017; 105:711-719.
3. Bennett JM, Catovsky D, Daniel MT, y col. Proposals for the classification of the acute leukemias. Br J Haematol. 1976; 33:451-458.
4. Vardiman JW, Harris NL, Brunning RD. The World Health Organization (WHO) classification of the myeloid neoplasms. Blood. 2002; 100:2292-2302.
5. Schuler E, Schroeder M, Neukirchen J, y col. Refined medullary blast and white blood cell count based classification of chronic myelomonocytic leukemias. Leuk Res. 2014; 38:1413-1419.
6. Grupo Español de Síndromes Mielodisplásicos Sociedad española de hematología y hematoterapia. Guías españolas para el diagnóstico y tratamiento de los SMD y la LMMC. 2013:15-20.
7. Alfonso A, Montalban-Bravo G, Garcia-Manero G. Current management of patients with chronic myelomonocytic leukemia. Curr Opin Oncol. 2017;29:79-87.
8. Such E, Germing U, Malcovati L, y col. Development and validation of a prognostic scoring system for patients with chronic myelomonocytic leukemia. Blood. 2013;121:3005-3015.
9. Benton CB, Nazha A, Pemmaraju N, Garcia-Manero G. Chronic myelomonocytic leukemia: Forefront of the field in 2015. Crit Rev Oncol Hematol. 2015. doi:10.1016/j.critrevonc.2015.03.002.
10. Flores, MG, Arbelbide J, Basquiera AL, y col. Síndromes mielodisplásicos y síndromes de superposición mielodisplasia/neoplasia mieloproliferativa. 2017 :611-638.
11. Such E, Cervera J, Costa D, y col. Cytogenetic risk stratification in chronic myelomonocytic leukemia. Haematologica. 2011; 96:375-383.
12. Voso MT, Fenu S, Latagliata R, y col. Revised International Prognostic Scoring System (IPSS) predicts survival and leukemic evolution of myelodysplastic syndromes significantly better than IPSS and WHO prognostic scoring system: Validation by the Gruppo Romano Mielodisplasie Italian regional . J Clin Oncol. 2013; 31:2671-2677.
13. Loghavi S, Sui D, Wei P, y col. Validation of the 2017 revision of the WHO chronic myelomonocytic leukemia categories. Blood Adv. 2018;2:1807-1816.
14. Padron E, Garcia-Manero G, Patnaik MM, y col. An international data set for CMML validates prognostic scoring systems and demonstrates a need for novel prognostication strategies. Blood Cancer J. 2015; 5:e333.
15. Onida F. Models of Prognostication in Chronic Myelomonocytic Leukemia. Curr Hematol Malig Rep. 2017; 12:513-521.
16. Catalano L, Improta S, De Laurentiis M, y col. Prognosis of chronic myelomonocytic leukemia. Haematologica. 1996; 81:324-329.
17. Leukemia M, Itzykson R, Kosmider O, y col. Prognostic score including gene mutations in chronic Myelomonocytic Leukemia. J Clin Oncol. 2013; 31:2428-2436.
18. Calvoa X, Nomdedeub M, Santacruz R, y col. Comparison of three prognostic scoring systems in a series of 146 cases of chronic myelomonocytic leukemia. Leuk Res. 2015; 39:1146-1153.
19. Onida F, Kantarjian H, Smith TL, y col. Prognostic factors and scoring systems in chronic myelomonocytic leukemia: a retrospective analysis of213 patients. Blood. 2002; 99:840-849.
20. Tang G, Zhang L, Fu B, y col. Cytogenetic Risk Stratification of 417 Patients with Chronic Myelomonocytic Leukemia from a Single Institution. Am J Hematol. 2014; 89:813-818.
21. Itzykson R, Kosmider O, Renneville A, y col. Prognostic score including gene mutations in chronic Myelomonocytic Leukemia. J Clin Oncol. 2013; 31:2428-2436.
22. Patnaik MM, Tefferi A, Lanier WL, Jopke TL, Sankey KD, Smith NM. Chronic Myelomonocytic Leukemia: Focus on Clinical Practice. Mayo Clin Proc. 2016; 91:259-272.
23. Santini V, Allione B, Zini G, y col. A phase II, multicentre trial of decitabine in higher-risk chronic myelomonocytic leukemia. Leukemia. 2018; 32:413-418.
24. Nazha A, Patnaik MM. Making Sense of Prognostic Models in Chronic Myelomonocytic Leukemia. Curr Hematol Malig Rep. 2018:1-7.
25. Patnaik MM, Padron E, Laborde RR, y col. Mayo prognostic model for WHO-defined chronic myelomonocytic leukemia: ASXL1 and spliceosome component mutations and outcomes. Leukemia. 2013; 27:1504-1510.
26. Padron E. Surveying the landscape of MDS/MPN research: overlap among the overlap syndromes? ASH Educ Progr B. 2015:349-354.
27. Elena C, Gall A, Such E, y col. Integrating clinical features and genetic lesions in the risk assessment of patients with chronic myelomonocytic leukemia. 2016; 128:1408-1418.
28. Arbab Jafari P, Ayatollahi H, Sadeghi R, Sheikhi M, Asghari A. Prognostic significance of SRSF2 mutations in myelodysplastic syndromes and chronic myelomonocytic leukemia: a meta-analysis. Hematology. 2018;10: 778-784.
29. Duchmann M, Yalniz FF, Sanna A, y col. Prognostic Role of Gene Mutations in Chronic Myelomonocytic Leukemia Patients Treated With Hypomethylating Agents. EBioMedicine. 2018; 31:174-181.
30. Meldi K, Qin T, Buchi F, y col. Specific molecular signatures predict decitabine response in chronic myelomonocytic leukemia. J Clin Invest. 2015;125:1857-1872.
31. National Comprehensive Cancer Network - NCCN Guidelines. Myelodysplastic Syndromes. 2018:86. https://www.nccn.org/professionals/physician_gls/pdf/mds.pdf.
32. Patel BJ, Przychodzen B, Thota S, y col. Genomic determinants of chronic myelomonocytic leukemia. Leukemia. 2017;31:2815-2823.
33. Solary E, Itzykson R. How I treat chronic myelomonocytic leukemia. Blood. 2017;130:126-133.
All material published in the journal HEMATOLOGÍA (electronic and print version) is transferred to the Argentinean Society of Hematology. In accordance with the copyright Act (Act 11 723), a copyright transfer form will be sent to the authors of approved works, which has to be signed by all the authors before its publication. Authors should keep a copy of the original since the journal is not responsible for damages or losses of the material that was submitted. Authors should send an electronic version to the email: revista@sah.org.ar
