Skip to main content
Erschienen in: Medical Oncology 3/2014

01.03.2014 | Original Paper

Contribution of comorbidities and grade of bone marrow fibrosis to the prognosis of survival in patients with primary myelofibrosis

verfasst von: Danijela Lekovic, Mirjana Gotic, Maja Perunicic-Jovanovic, Ana Vidovic, Andrija Bogdanovic, Gradimir Jankovic, Vladan Cokic, Natasa Milic

Erschienen in: Medical Oncology | Ausgabe 3/2014

Einloggen, um Zugang zu erhalten

Abstract

The widely used current International Prognostic Scoring System (IPSS) for primary myelofibrosis (PMF) is based on clinical parameters. The objective of this study was to identify additional prognostic factors at the time of diagnosis, which could have an impact on the future treatment of patients with PMF. We conducted a study of 131 consecutive PMF patients with median follow-up of 44 months. Data on baseline demographics, clinical and laboratory parameters, IPSS, grade of bone marrow fibrosis (MF), as well as influence of concomitant comorbidities were analyzed in terms of survival. Comorbidity was assessed using the Adult Comorbidity Evaluation-27 (ACE-27) score and the hematopoietic cell transplantation comorbidity index. An improved prognostic model of survival was obtained by deploying the MF and ACE-27 to the IPSS. A multivariable regression analyses confirmed the statistical significance of IPSS (P < 0.001, HR 3.754, 95 % CI 2.130–6.615), MF > 1 (P = 0.001, HR 2.694, 95 % CI 1.466–4.951) and ACE-27 (P < 0.001, HR 4.141, 95 % CI 2.322–7.386) in predicting the survival of patients with PMF. When the IPSS was modified with MF and ACE-27, the final prognostic model for overall survival was stratified as low (score 0–1), intermediate (score 2–3) and high risk (score 4–6) with median survival of not reached, 115 and 22 months, respectively (P < 0.001). Our findings indicate that the combination of histological changes, comorbidity assessment and clinical parameters at the time of diagnosis allows better discrimination of patients in survival prognostic groups and helps to identify high-risk patients for a poor outcome.
Literatur
1.
Zurück zum Zitat Vardiman JW, Thiele J, Arber DA, Brunning RD, Borowitz MJ, Porwit A, et al. The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes. Blood. 2009;114(5):937–51.PubMedCrossRef Vardiman JW, Thiele J, Arber DA, Brunning RD, Borowitz MJ, Porwit A, et al. The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes. Blood. 2009;114(5):937–51.PubMedCrossRef
2.
Zurück zum Zitat Tefferi A. Pathogenesis of myelofibrosis with myeloid metaplasia. J Clin Oncol. 2005;23(33):8520–30.PubMedCrossRef Tefferi A. Pathogenesis of myelofibrosis with myeloid metaplasia. J Clin Oncol. 2005;23(33):8520–30.PubMedCrossRef
3.
Zurück zum Zitat Kralovic R, Passamonti F, Buser AS, Teo SS, Tiedt R, Passweg JR, et al. A gain-of-function mutation of JAK2 in myeloproliferative disorders. N Engl J Med. 2005;352(17):1779–90.CrossRef Kralovic R, Passamonti F, Buser AS, Teo SS, Tiedt R, Passweg JR, et al. A gain-of-function mutation of JAK2 in myeloproliferative disorders. N Engl J Med. 2005;352(17):1779–90.CrossRef
4.
Zurück zum Zitat Tefferi A. Novel mutations and their functional and clinical relevance in myeloproliferative neoplasms: JAK2, MPL, TET2, ASXL1, CBL, IDH and IKZF1. Leukemia. 2010;24(6):1128–38.PubMedCentralPubMedCrossRef Tefferi A. Novel mutations and their functional and clinical relevance in myeloproliferative neoplasms: JAK2, MPL, TET2, ASXL1, CBL, IDH and IKZF1. Leukemia. 2010;24(6):1128–38.PubMedCentralPubMedCrossRef
5.
Zurück zum Zitat Cervantes F, Pereira A, Esteve J, Rafel M, Cobo F, Rozman C, et al. Identification of “long-lived” and “short-lived” patients at presentation of primary myelofibrosis. Br J Haematol. 1997;97(3):635–40.PubMedCrossRef Cervantes F, Pereira A, Esteve J, Rafel M, Cobo F, Rozman C, et al. Identification of “long-lived” and “short-lived” patients at presentation of primary myelofibrosis. Br J Haematol. 1997;97(3):635–40.PubMedCrossRef
6.
Zurück zum Zitat Cervantes F, Passamonti F, Barosi G. Life expectancy and prognostic factors in the classic BCR/ABL-negative myeloproliferative disorders. Leukemia. 2008;22(5):905–14.PubMedCrossRef Cervantes F, Passamonti F, Barosi G. Life expectancy and prognostic factors in the classic BCR/ABL-negative myeloproliferative disorders. Leukemia. 2008;22(5):905–14.PubMedCrossRef
7.
Zurück zum Zitat Tefferi A, Huang J, Schwager S, Li CY, Wu W, Pardanani A, et al. Validation and comparison of contemporary prognostic models in primary myelofibrosis: analysis based on 334 patients from a single institution. Cancer. 2007;109(10):2083–8.PubMedCrossRef Tefferi A, Huang J, Schwager S, Li CY, Wu W, Pardanani A, et al. Validation and comparison of contemporary prognostic models in primary myelofibrosis: analysis based on 334 patients from a single institution. Cancer. 2007;109(10):2083–8.PubMedCrossRef
8.
Zurück zum Zitat Dupriez B, Morel P, Demory JL, Lai JL, Simon M, Plantier I, et al. Prognostic factors in agnogenic myeloid metaplasia: a report on 195 cases with a new scoring system. Blood. 1996;88(3):1013–8.PubMed Dupriez B, Morel P, Demory JL, Lai JL, Simon M, Plantier I, et al. Prognostic factors in agnogenic myeloid metaplasia: a report on 195 cases with a new scoring system. Blood. 1996;88(3):1013–8.PubMed
9.
Zurück zum Zitat Cervantes F, Barosi G, Demory JL, Reilly J, Guarnone R, Dupriez B, et al. Myelofibrosis with myeloid metaplasia in young individuals: disease characteristics, prognostic factors and identification of risk groups. Br J Haematol. 1998;102(3):684–90.PubMedCrossRef Cervantes F, Barosi G, Demory JL, Reilly J, Guarnone R, Dupriez B, et al. Myelofibrosis with myeloid metaplasia in young individuals: disease characteristics, prognostic factors and identification of risk groups. Br J Haematol. 1998;102(3):684–90.PubMedCrossRef
10.
Zurück zum Zitat Tam CS, Kantarjian H, Cortes J, Lynn A, Pierce S, Zhou L, et al. Dynamic model for predicting death within 12 months in patients with primary or post-polycythemia vera/essential thrombocythemia myelofibrosis. J Clin Oncol. 2009;27(33):5587–93.PubMedCrossRef Tam CS, Kantarjian H, Cortes J, Lynn A, Pierce S, Zhou L, et al. Dynamic model for predicting death within 12 months in patients with primary or post-polycythemia vera/essential thrombocythemia myelofibrosis. J Clin Oncol. 2009;27(33):5587–93.PubMedCrossRef
11.
Zurück zum Zitat Cervantes F, Dupriez B, Pereira A, Passamonti F, Reilly JT, Morra E, et al. New prognostic scoring system for primary myelofibrosis based on a study of the international working group for myelofibrosis research and treatment. Blood. 2009;113(13):2895–901.PubMedCrossRef Cervantes F, Dupriez B, Pereira A, Passamonti F, Reilly JT, Morra E, et al. New prognostic scoring system for primary myelofibrosis based on a study of the international working group for myelofibrosis research and treatment. Blood. 2009;113(13):2895–901.PubMedCrossRef
12.
Zurück zum Zitat Cervantes F, Mesa R, Barosi G. New and old treatment modalities in primary myelofibrosis. Cancer J. 2007;13(6):377–83.PubMedCrossRef Cervantes F, Mesa R, Barosi G. New and old treatment modalities in primary myelofibrosis. Cancer J. 2007;13(6):377–83.PubMedCrossRef
13.
Zurück zum Zitat Kerbauy DM, Gooley TA, Sale GE, Flowers ME, Doney KC, Georges GE, et al. Hematopoietic cell transplantation as curative therapy for idiopathic myelofibrosis, advanced polycythemia vera, and essential thrombocythemia. Biol Blood Marrow Transplant. 2007;13(3):355–65.PubMedCrossRef Kerbauy DM, Gooley TA, Sale GE, Flowers ME, Doney KC, Georges GE, et al. Hematopoietic cell transplantation as curative therapy for idiopathic myelofibrosis, advanced polycythemia vera, and essential thrombocythemia. Biol Blood Marrow Transplant. 2007;13(3):355–65.PubMedCrossRef
14.
Zurück zum Zitat Verstovsek S. JAK2 inhibitors and myeloproliferative neoplasms. Clin Adv Hematol Oncol. 2008;6(12):878–80 896.PubMed Verstovsek S. JAK2 inhibitors and myeloproliferative neoplasms. Clin Adv Hematol Oncol. 2008;6(12):878–80 896.PubMed
15.
Zurück zum Zitat Thiele J, Kvasnicka HM, Facchetti F, Franco V, van der Walt J, Orazi A. European consensus on grading bone marrow fibrosis and assessment of cellularity. Haematologica. 2005;90(8):1128–32.PubMed Thiele J, Kvasnicka HM, Facchetti F, Franco V, van der Walt J, Orazi A. European consensus on grading bone marrow fibrosis and assessment of cellularity. Haematologica. 2005;90(8):1128–32.PubMed
16.
Zurück zum Zitat Piccirillo JF, Costas I, Claybour P, Borah AJ, Grove L, Jeffe D. The measurement of comorbidity by cancer registries. J Registry Manag. 2003;30:8–14. Piccirillo JF, Costas I, Claybour P, Borah AJ, Grove L, Jeffe D. The measurement of comorbidity by cancer registries. J Registry Manag. 2003;30:8–14.
17.
Zurück zum Zitat Sorror ML, Maris MB, Storb R, Baron F, Sandmaier BM, Maloney DG, et al. Hematopoietic cell transplantation (HCT)-specific comorbidity index: a new tool for risk assessment before allogeneic HCT. Blood. 2005;106(8):2912–9.PubMedCrossRef Sorror ML, Maris MB, Storb R, Baron F, Sandmaier BM, Maloney DG, et al. Hematopoietic cell transplantation (HCT)-specific comorbidity index: a new tool for risk assessment before allogeneic HCT. Blood. 2005;106(8):2912–9.PubMedCrossRef
18.
Zurück zum Zitat Kvasnicka HM, Thiele J, Schmitt-Graeff A, Diehl V, Zankovich R, Niederle N, et al. Bone marrow features improve prognostic efficiency in multivariate risk classification of chronic-phase Ph (1+) chronic myelogenous leukaemia: a multicenter trial. J Clin Oncol. 2001;19(12):2994–3009.PubMed Kvasnicka HM, Thiele J, Schmitt-Graeff A, Diehl V, Zankovich R, Niederle N, et al. Bone marrow features improve prognostic efficiency in multivariate risk classification of chronic-phase Ph (1+) chronic myelogenous leukaemia: a multicenter trial. J Clin Oncol. 2001;19(12):2994–3009.PubMed
19.
Zurück zum Zitat Subramanian R, Basu D, Dutta TK. Significance of bone marrow fibrosis in multiple myeloma. Pathology. 2007;39(5):512–5.PubMedCrossRef Subramanian R, Basu D, Dutta TK. Significance of bone marrow fibrosis in multiple myeloma. Pathology. 2007;39(5):512–5.PubMedCrossRef
20.
Zurück zum Zitat Della Porta MG, Malcovati L, Boveri E, Travaglino E, Pietra D, Pascutto C, et al. Clinical relevance of bone marrow fibrosis and CD34-positive cell clusters in primary myelodysplastic syndromes. J Clin Oncol. 2009;27(5):754–62.PubMedCrossRef Della Porta MG, Malcovati L, Boveri E, Travaglino E, Pietra D, Pascutto C, et al. Clinical relevance of bone marrow fibrosis and CD34-positive cell clusters in primary myelodysplastic syndromes. J Clin Oncol. 2009;27(5):754–62.PubMedCrossRef
21.
Zurück zum Zitat Vener C, Fracchiolla NS, Gianelli U, Calori R, Radaelli F, Iurlo A, et al. Prognostic implications of the European consensus for grading of bone marrow fibrosis in chronic idiopathic myelofibrosis. Blood. 2008;111(4):1862–5.PubMedCrossRef Vener C, Fracchiolla NS, Gianelli U, Calori R, Radaelli F, Iurlo A, et al. Prognostic implications of the European consensus for grading of bone marrow fibrosis in chronic idiopathic myelofibrosis. Blood. 2008;111(4):1862–5.PubMedCrossRef
22.
Zurück zum Zitat Gianelli U, Vener C, Bossi A, Cortinovis I, Iurlo A, Fracchiolla NS, et al. The European Consensus on grading of bone marrow fibrosis allows a better prognostication of patients with primary myelofibrosis. Mod Pathol. 2012;25(9):1193–202.PubMedCrossRef Gianelli U, Vener C, Bossi A, Cortinovis I, Iurlo A, Fracchiolla NS, et al. The European Consensus on grading of bone marrow fibrosis allows a better prognostication of patients with primary myelofibrosis. Mod Pathol. 2012;25(9):1193–202.PubMedCrossRef
23.
Zurück zum Zitat Thiele J, Kvasnicka HM. Grade of bone marrow fibrosis is associated with relevant hematological findings—a clinicopathological study on 865 patients with chronic idiopathic myelofibrosis. Ann Hematol. 2006;85(4):226–32.PubMedCrossRef Thiele J, Kvasnicka HM. Grade of bone marrow fibrosis is associated with relevant hematological findings—a clinicopathological study on 865 patients with chronic idiopathic myelofibrosis. Ann Hematol. 2006;85(4):226–32.PubMedCrossRef
24.
Zurück zum Zitat Piccirillo JF, Tierney RM, Costas I, Grove L, Spitznagel EL Jr. Prognostic importance of comorbidity in a hospital-based cancer registry. JAMA. 2004;291(20):2441–7.PubMedCrossRef Piccirillo JF, Tierney RM, Costas I, Grove L, Spitznagel EL Jr. Prognostic importance of comorbidity in a hospital-based cancer registry. JAMA. 2004;291(20):2441–7.PubMedCrossRef
25.
Zurück zum Zitat Naqvi K, Garcia-Manero G, Sardesai S, Oh J, Vigil CE, Pierce S, et al. Association of comorbidities with overall survival in myelodysplastic syndrome: development of a prognostic model. J Clin Oncol. 2011;29(16):2240–6.PubMedCrossRef Naqvi K, Garcia-Manero G, Sardesai S, Oh J, Vigil CE, Pierce S, et al. Association of comorbidities with overall survival in myelodysplastic syndrome: development of a prognostic model. J Clin Oncol. 2011;29(16):2240–6.PubMedCrossRef
26.
Zurück zum Zitat Wang R, Gross CP, Halene S, Ma X. Comorbidities and survival in a large cohort of patients with newly diagnosed myelodysplastic syndromes. Leuk Res. 2009;33(12):1594–8.PubMedCentralPubMedCrossRef Wang R, Gross CP, Halene S, Ma X. Comorbidities and survival in a large cohort of patients with newly diagnosed myelodysplastic syndromes. Leuk Res. 2009;33(12):1594–8.PubMedCentralPubMedCrossRef
27.
Zurück zum Zitat Sorror ML, Sandmaier BM, Storer BE, Franke GN, Laport GG, Chauncey TR, et al. Long-term outcomes among older patients following nonmyeloablative conditioning and allogeneic hematopoietic cell transplantation for advanced hematologic malignancies. JAMA. 2011;306(17):1874–83.PubMedCentralPubMedCrossRef Sorror ML, Sandmaier BM, Storer BE, Franke GN, Laport GG, Chauncey TR, et al. Long-term outcomes among older patients following nonmyeloablative conditioning and allogeneic hematopoietic cell transplantation for advanced hematologic malignancies. JAMA. 2011;306(17):1874–83.PubMedCentralPubMedCrossRef
28.
Zurück zum Zitat Kieszak SM, Flanders WD, Kosinski AS, Shipp CC, Karp H. A comparison of the Charlson comorbidity index derived from medical record data and administrative billing data. J Clin Epidemiol. 1999;52(2):137–42.PubMedCrossRef Kieszak SM, Flanders WD, Kosinski AS, Shipp CC, Karp H. A comparison of the Charlson comorbidity index derived from medical record data and administrative billing data. J Clin Epidemiol. 1999;52(2):137–42.PubMedCrossRef
Metadaten
Titel
Contribution of comorbidities and grade of bone marrow fibrosis to the prognosis of survival in patients with primary myelofibrosis
verfasst von
Danijela Lekovic
Mirjana Gotic
Maja Perunicic-Jovanovic
Ana Vidovic
Andrija Bogdanovic
Gradimir Jankovic
Vladan Cokic
Natasa Milic
Publikationsdatum
01.03.2014
Verlag
Springer US
Erschienen in
Medical Oncology / Ausgabe 3/2014
Print ISSN: 1357-0560
Elektronische ISSN: 1559-131X
DOI
https://doi.org/10.1007/s12032-014-0869-8

Weitere Artikel der Ausgabe 3/2014

Medical Oncology 3/2014 Zur Ausgabe

Update Onkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.