Skip to main content
Log in

Prognostic risk models for transplant decision-making in myelofibrosis

  • Original Article
  • Published:
Annals of Hematology Aims and scope Submit manuscript

Abstract

Prognostic models are widely used in clinical practice for transplant decision-making in myelofibrosis (MF). We have compared the performance of the International Prognostic Scoring System (IPSS), dynamic IPSS (DIPSS), and DIPSS-plus in a series of 544 patients with primary or secondary MF aged ≤ 70 years at the time of diagnosis. The median projected survival of the overall series was 9.46 years (95% confidence interval 7.44–10.59). Median survival for the highest risk groups was less than 4 years in the three prognostic models. By contrast, the projected survival for patients in the intermediate-2 categories by the IPSS, DIPSS, and DIPSS-plus was 6.6, 5.6, and 6.5 years, respectively. The number of patients in the intermediate-2 and high-risk categories was smaller in the DIPSS than in the IPSS or the DIPSS-plus. The IPSS and DIPSS-plus were the best models to discriminate between the intermediate-1 and intermediate-2 risk categories, which is a critical cut-off point for patient selection to transplant. Among patients assigned at diagnosis to the intermediate-2 or high-risk groups by the IPSS, DIPSS, and DIPSS-plus, only 17, 21, and 20%, respectively, were subsequently transplanted. In conclusion, in our contemporary series of younger MF patients only the highest risk categories of the current prognostication systems have a median survival below the 5-year threshold recommended for considering transplantation. Patient selection for transplantation can significantly differ depending on which prognostication model is used for disease risk stratification.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Tefferi A (2005) Pathogenesis of myelofibrosis with myeloid metaplasia. J Clin Oncol 23(33):8520–8530. https://doi.org/10.1200/JCO.2004.00.9316

    Article  CAS  PubMed  Google Scholar 

  2. Grinfeld J, Nangalia J, Green AR (2017) Molecular determinants of pathogenesis and clinical phenotype in myeloproliferative neoplasms. Haematologica 102(1):7–17. https://doi.org/10.3324/haematol.2014.113845

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Cervantes F, Passamonti F, Barosi G (2008) Life expectancy and prognostic factors in the classic BCR/ABL-negative myeloproliferative disorders. Leukemia 22(5):905–914. https://doi.org/10.1038/leu.2008.72

    Article  CAS  PubMed  Google Scholar 

  4. Cervantes F, Dupriez B, Passamonti F, Vannucchi AM, Morra E, Reilly JT, Demory JL, Rumi E, Guglielmelli P, Roncoroni E, Tefferi A, Pereira A (2012) Improving survival trends in primary myelofibrosis: an international study. J Clin Oncol 30(24):2981–2987. https://doi.org/10.1200/JCO.2012.42.0240

    Article  PubMed  Google Scholar 

  5. Kroger N, Giorgino T, Scott BL, Ditschkowski M, Alchalby H, Cervantes F, Vannucchi A, Cazzola M, Morra E, Zabelina T, Maffioli M, Pereira A, Beelen D, Deeg HJ, Passamonti F (2015) Impact of allogeneic stem cell transplantation on survival of patients less than 65 years of age with primary myelofibrosis. Blood 125(21):3347–3350; quiz 3364. https://doi.org/10.1182/blood-2014-10-608315

    Article  PubMed  PubMed Central  Google Scholar 

  6. Kroger NM, Deeg JH, Olavarria E, Niederwieser D, Bacigalupo A, Barbui T, Rambaldi A, Mesa R, Tefferi A, Griesshammer M, Gupta V, Harrison C, Alchalby H, Vannucchi AM, Cervantes F, Robin M, Ditschkowski M, Fauble V, McLornan D, Ballen K, Popat UR, Passamonti F, Rondelli D, Barosi G (2015) Indication and management of allogeneic stem cell transplantation in primary myelofibrosis: a consensus process by an EBMT/ELN international working group. Leukemia 29(11):2126–2133. https://doi.org/10.1038/leu.2015.233

    Article  CAS  PubMed  Google Scholar 

  7. Barbui T, Barosi G, Birgegard G, Cervantes F, Finazzi G, Griesshammer M, Harrison C, Hasselbalch HC, Hehlmann R, Hoffman R, Kiladjian JJ, Kroger N, Mesa R, McMullin MF, Pardanani A, Passamonti F, Vannucchi AM, Reiter A, Silver RT, Verstovsek S, Tefferi A (2011) Philadelphia-negative classical myeloproliferative neoplasms: critical concepts and management recommendations from European LeukemiaNet. J Clin Oncol 29(6):761–770. https://doi.org/10.1200/JCO.2010.31.8436

    Article  PubMed  PubMed Central  Google Scholar 

  8. Dupriez B, Morel P, Demory JL, Lai JL, Simon M, Plantier I, Bauters F (1996) Prognostic factors in agnogenic myeloid metaplasia: a report on 195 cases with a new scoring system. Blood 88(3):1013–1018

    CAS  PubMed  Google Scholar 

  9. Cervantes F, Dupriez B, Pereira A, Passamonti F, Reilly JT, Morra E, Vannucchi AM, Mesa RA, Demory JL, Barosi G, Rumi E, Tefferi A (2009) New prognostic scoring system for primary myelofibrosis based on a study of the international working Group for Myelofibrosis Research and Treatment. Blood 113(13):2895–2901. https://doi.org/10.1182/blood-2008-07-170449

    Article  CAS  PubMed  Google Scholar 

  10. Passamonti F, Cervantes F, Vannucchi AM, Morra E, Rumi E, Pereira A, Guglielmelli P, Pungolino E, Caramella M, Maffioli M, Pascutto C, Lazzarino M, Cazzola M, Tefferi A (2010) A dynamic prognostic model to predict survival in primary myelofibrosis: a study by the IWG-MRT (international working Group for Myeloproliferative Neoplasms Research and Treatment). Blood 115(9):1703–1708. https://doi.org/10.1182/blood-2009-09-245837

    Article  CAS  PubMed  Google Scholar 

  11. Gangat N, Caramazza D, Vaidya R, George G, Begna K, Schwager S, Van Dyke D, Hanson C, Wu W, Pardanani A, Cervantes F, Passamonti F, Tefferi A (2011) DIPSS plus: a refined dynamic international prognostic scoring system for primary myelofibrosis that incorporates prognostic information from karyotype, platelet count, and transfusion status. J Clin Oncol 29(4):392–397. https://doi.org/10.1200/JCO.2010.32.2446

    Article  PubMed  Google Scholar 

  12. Cervantes F (2014) How I treat myelofibrosis. Blood 124(17):2635–2642. https://doi.org/10.1182/blood-2014-07-575373

    Article  CAS  PubMed  Google Scholar 

  13. Tefferi A (2011) How I treat myelofibrosis. Blood 117(13):3494–3504. https://doi.org/10.1182/blood-2010-11-315614

    Article  CAS  PubMed  Google Scholar 

  14. Alchalby H, Yunus DR, Zabelina T, Kobbe G, Holler E, Bornhauser M, Schwerdtfeger R, Bethge W, Kvasnicka HM, Busche G, Ayuk F, Bacher U, Zander AR, Kroger N (2012) Risk models predicting survival after reduced-intensity transplantation for myelofibrosis. Br J Haematol 157(1):75–85. https://doi.org/10.1111/j.1365-2141.2011.09009.x

    Article  PubMed  Google Scholar 

  15. Tefferi A, Thiele J, Orazi A, Kvasnicka HM, Barbui T, Hanson CA, Barosi G, Verstovsek S, Birgegard G, Mesa R, Reilly JT, Gisslinger H, Vannucchi AM, Cervantes F, Finazzi G, Hoffman R, Gilliland DG, Bloomfield CD, Vardiman JW (2007) Proposals and rationale for revision of the World Health Organization diagnostic criteria for polycythemia vera, essential thrombocythemia, and primary myelofibrosis: recommendations from an ad hoc international expert panel. Blood 110(4):1092–1097. https://doi.org/10.1182/blood-2007-04-083501

    Article  CAS  PubMed  Google Scholar 

  16. Barosi G, Mesa RA, Thiele J, Cervantes F, Campbell PJ, Verstovsek S, Dupriez B, Levine RL, Passamonti F, Gotlib J, Reilly JT, Vannucchi AM, Hanson CA, Solberg LA, Orazi A, Tefferi A (2008) Proposed criteria for the diagnosis of post-polycythemia vera and post-essential thrombocythemia myelofibrosis: a consensus statement from the International Working Group for Myelofibrosis Research and Treatment. Leukemia 22(2):437–438. https://doi.org/10.1038/sj.leu.2404914

    Article  CAS  PubMed  Google Scholar 

  17. Harrell FE Jr, Lee KL, Mark DB (1996) Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. 15(4):Stat Med, 361–Stat 387. https://doi.org/10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4

  18. Schemper M, Stare J (1996) Explained variation in survival analysis. Stat Med 15(19):1999–2012. https://doi.org/10.1002/(SICI)1097-0258(19961015)15:19<1999::AID-SIM353>3.0.CO;2-D

    Article  CAS  PubMed  Google Scholar 

  19. Caramazza D, Begna KH, Gangat N, Vaidya R, Siragusa S, Van Dyke DL, Hanson C, Pardanani A, Tefferi A (2011) Refined cytogenetic-risk categorization for overall and leukemia-free survival in primary myelofibrosis: a single center study of 433 patients. Leukemia 25(1):82–88. https://doi.org/10.1038/leu.2010.234

    Article  CAS  PubMed  Google Scholar 

  20. Rumi E, Pietra D, Pascutto C, Guglielmelli P, Martinez-Trillos A, Casetti I, Colomer D, Pieri L, Pratcorona M, Rotunno G, Sant'Antonio E, Bellini M, Cavalloni C, Mannarelli C, Milanesi C, Boveri E, Ferretti V, Astori C, Rosti V, Cervantes F, Barosi G, Vannucchi AM, Cazzola M (2014) Clinical effect of driver mutations of JAK2, CALR, or MPL in primary myelofibrosis. Blood 124(7):1062–1069. https://doi.org/10.1182/blood-2014-05-578435

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Devlin R, Gupta V (2016) Myelofibrosis: to transplant or not to transplant? Hematology Am Soc Hematol Educ Program 2016(1):543–551. https://doi.org/10.1182/asheducation-2016.1.543

    PubMed  Google Scholar 

  22. Passweg JR, Baldomero H, Bader P, Bonini C, Cesaro S, Dreger P, Duarte RF, Dufour C, Kuball J, Farge-Bancel D, Gennery A, Kroger N, Lanza F, Nagler A, Sureda A, Mohty M (2017) Impact of drug development on the use of stem cell transplantation: a report by the European Society for Blood and Marrow Transplantation (EBMT). Bone Marrow Transplant 52(2):191–196. https://doi.org/10.1038/bmt.2016.258

    Article  CAS  PubMed  Google Scholar 

  23. Harrison C, Kiladjian JJ, Al-Ali HK, Gisslinger H, Waltzman R, Stalbovskaya V, McQuitty M, Hunter DS, Levy R, Knoops L, Cervantes F, Vannucchi AM, Barbui T, Barosi G (2012) JAK inhibition with ruxolitinib versus best available therapy for myelofibrosis. N Engl J Med 366(9):787–798. https://doi.org/10.1056/NEJMoa1110556

    Article  CAS  PubMed  Google Scholar 

  24. Verstovsek S, Mesa RA, Gotlib J, Levy RS, Gupta V, DiPersio JF, Catalano JV, Deininger M, Miller C, Silver RT, Talpaz M, Winton EF, Harvey JH Jr, Arcasoy MO, Hexner E, Lyons RM, Paquette R, Raza A, Vaddi K, Erickson-Viitanen S, Koumenis IL, Sun W, Sandor V, Kantarjian HM (2012) A double-blind, placebo-controlled trial of ruxolitinib for myelofibrosis. N Engl J Med 366(9):799–807. https://doi.org/10.1056/NEJMoa1110557

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Rotunno G, Pacilli A, Artusi V, Rumi E, Maffioli M, Delaini F, Brogi G, Fanelli T, Pancrazzi A, Pietra D, Bernardis I, Belotti C, Pieri L, Sant'Antonio E, Salmoiraghi S, Cilloni D, Rambaldi A, Passamonti F, Barbui T, Manfredini R, Cazzola M, Tagliafico E, Vannucchi AM, Guglielmelli P (2016) Epidemiology and clinical relevance of mutations in postpolycythemia vera and postessential thrombocythemia myelofibrosis: a study on 359 patients of the AGIMM group. Am J Hematol 91(7):681–686. https://doi.org/10.1002/ajh.24377

    Article  CAS  PubMed  Google Scholar 

  26. Vannucchi AM, Lasho TL, Guglielmelli P, Biamonte F, Pardanani A, Pereira A, Finke C, Score J, Gangat N, Mannarelli C, Ketterling RP, Rotunno G, Knudson RA, Susini MC, Laborde RR, Spolverini A, Pancrazzi A, Pieri L, Manfredini R, Tagliafico E, Zini R, Jones A, Zoi K, Reiter A, Duncombe A, Pietra D, Rumi E, Cervantes F, Barosi G, Cazzola M, Cross NC, Tefferi A (2013) Mutations and prognosis in primary myelofibrosis. Leukemia 27(9):1861–1869. https://doi.org/10.1038/leu.2013.119

    Article  CAS  PubMed  Google Scholar 

  27. Passamonti F, Mora B, Giorgino T, Guglielmelli P, Cazzola M, Maffioli M, Rambaldi A, Caramella M, Komrokji R, Gotlib J, Kiladjian JJ, Cervantes F, Devos T, Palandri F, De Stefano V, Ruggeri M, Silver R, Benevolo G, Albano F, Caramazza D, Rumi E, Merli M, Pietra D, Casalone R, Barbui T, Pieri L, Vannucchi AM (2017) Driver mutations' effect in secondary myelofibrosis: an international multicenter study based on 781 patients. Leukemia 31(4):970–973. https://doi.org/10.1038/leu.2016.351

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This work was supported by the grant RD12/0036/0010 from the Instituto de Salud Carlos III, Spanish Ministry of Health. We are indebted to all members of GEMFIN participating in the Spanish Registry of Myelofibrosis.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Juan-Carlos Hernández-Boluda.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Authorship and disclosures

JCHB designed the research, performed the statistical analysis, interpreted the results, and wrote the manuscript. APe performed the statistical analysis, interpreted the results, and wrote the manuscript. JGC, AAL, FFM, JMR, JML, PV, MPE, NE, VGG, MLF, APa, AK, BC, MAD, MJR, MTGC, MIMV, EM, and MG collected the data, revised the manuscript, and approved the final version of the manuscript. FC interpreted the results and wrote the manuscript.

The authors declare that they have no conflict of interest.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hernández-Boluda, JC., Pereira, A., Correa, JG. et al. Prognostic risk models for transplant decision-making in myelofibrosis. Ann Hematol 97, 813–820 (2018). https://doi.org/10.1007/s00277-018-3240-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00277-018-3240-x

Keywords

Navigation