Literature DB >> 27935577

Bone marrow fibrosis grade is an independent risk factor for overall survival in patients with primary myelofibrosis.

B Li1,2, P Zhang3, G Feng1, Z Xu1,2, T Qin1, Y Zhang1,2, Z Sha1, D Dong1, H Zhang1, L Fang1, L Pan1, N Hu1, S Qu1, W Cai3, G Huang4, Z Xiao1,2.   

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Year:  2016        PMID: 27935577      PMCID: PMC5223151          DOI: 10.1038/bcj.2016.116

Source DB:  PubMed          Journal:  Blood Cancer J        ISSN: 2044-5385            Impact factor:   11.037


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Histopathological findings have a key role in diagnosis of primary myelofibrosis (PMF). According to the revised 2016 World Health Organization (WHO) classification of PMF,[1] bone marrow (BM) fibrosis represents a major diagnostic criteria together with abnormal megakaryocyte morphology. The European consensus[2]has been applied to evaluate the BM fibrosis grade in the revised 2016 WHO classification. According to the European consensus, fibrosis is graded in four levels, from grade 0 to grade 3.Moreover, PMF is further divided into prePMF (MF-0 or MF-1) and overt PMF (MF-2 or MF-3) according to fibrosis grade.[1] Although BM fibrosis is a major criteria for PMF, the fibrosis grade is not incorporated in conventional prognostic scoring systems. Recently, it is emphasized that an accurate evaluation of BM fibrosis grade has been proven to be a key point to predict prognosis in PMF.[3, 4, 5] In this study, we re-evaluated the diagnostic biopsies of 330 patients with PMF and analyzed the prognostic impact of addition of fibrosis grade in the traditional prognostic scoring system. In 330 patients, 235 (71.2%) were at diagnosis and 95 (28.8%) at referral. The median time between the original diagnosis and the referral was 36 (5–132) months. No patient had received hematopoietic stem cell transplantation. All patients had a high-quality biopsies collected at diagnosis or referral and gave informed consent compliant with the Declaration of Helsinki. All cases were blind re-reviewed by two experienced pathologists and reclassified based on the revised 2016 WHO classification. Dynamic International Prognostic Scoring System (DIPSS)[6] were calculated as described. One hundred and ninety-five patients had evaluable cytogenetic results. According to DIPSS-plus,[7] karyotypes were classified as the favorable and the unfavorable. JAK2, CALR and MPL mutations were tested at diagnosis as described.[8] Follow-up data were available for 301 patients, and the median follow-up was 39 (1–255) months. Correlations between sample groups and clinical and laboratory data were calculated with the χ2 test for qualitative variables with discrete categories and Mann–Whitney U-test or Kruskal–Wallis analysis of variance for continuous variables. Survival distribution was estimated by the Kaplan–Meier method and was compared between subgroups using the log-rank test. The Cox proportional hazards regression model was used to assess the correlation between variables and survival. Two-tailed P-values⩽0.05 were considered significant. In 330 patients, 75 (22.7%) were categorized as DIPPS low-risk group, 154 (46.7%) intermediate-1-risk group, 93 (28.2%) intermediate-2-risk group and 8 (2.4%) high-risk group. JAK2 mutations were detected in 162 subjects (49.1%), CALR mutations in 65 (19.7%), MPL mutations in 8 (2.4%) and triple-negative (no detectable mutation in JAK2, CALR or MPL) in 95 (28.8%). According to the European consensus, 14 (4.2%) had MF-0, 93 (28.2%) MF-1, 165 (50%) MF-2 and 58 (17.6%) MF-3. Compared with the patients with MF-0 or MF-1, patients with MF-2 or MF-3 were older (P=0.014), had more frequent hemoglobin concentrations <100 g/l (P<0.001), less frequent WBC levels >25 × 109/l (P=0.028), more frequent platelet levels <100 × 109/l (P=0.017), higher DIPSS scores (P<0.001) and more frequent unfavorable karyotype according to DIPSS-plus (P=0.017). However, the fibrosis grade was not associated with the size of splenomegaly and driver mutations. There were more patients with MF-2 or MF-3 who died at last follow-up than patients with MF-0 or MF-1 (31.2% versus 13.1% P<0.001). Supplementary Tables S1 and S2 list baseline clinical and laboratory variables of the 330 study subjects categorized by BM fibrosis grade. In univariate analysis, patients with higher fibrosis grade had shorter overall survival (OS) (P=0.013, Supplementary Figure S1A). Patients with overt fibrosis (MF-2 or MF-3) had significantly shorter OS compared with subjects with prefibrosis (MF-0 or MF-1) (P=0.001, Supplementary Figure S1B). Moreover, DIPSS variables (P<0.0001), no palpable splenomegaly (P=0.004), thrombocytopenia (P<0.001) and CALR-type-2 or triple-negative mutation (P<0.001) were associated with reduced OS. In the lower-risk DIPSS group (low- and intermediate-1-risk group), MF-2 or MF-3 identified patients with shorter OS compared with MF-0 or MF-1 (P=0.014, Supplementary Figure S1C) while for patients in the higher-risk group (intermediate-2- and high-risk group), fibrosis grade had no impact on OS (Supplementary Figure S1D). In multivariable Cox proportional hazard regression analysis (Table 1), MF-2 or MF-3 remained significant for OS (hazard ratio (HR): 2.51, 95% confidence interval (CI): 1.37–4.59; P=0.003) together with DIPSS variables (HR: 2.40, 95% CI: 1.64–3.51; P<0.001), no palpable splenomegaly (HR: 1,72, 95% CI: 1.03–2.86; P=0.036), thrombocytopenia (HR: 2.65, 95% CI: 1.62–4.34; P<0.001) and CALR-type-2 or triple-negative mutation (HR: 1.82, 95% CI: 1.10–3.02; P=0.02).
Table 1

Multivariable Cox proportional hazard regression analysis in 301 patients with primary myelofibrosis

VariableHR95% CIPScore
DIPSS intermediate-2-risk group2.311.43–3.730.0011
DIPSS high-risk group6.172.50–15.23<00012
Platelets <100 × 109/l2.651.62–4.34<0.0011
No palpable splenomegaly1.721.03–2.860.0360.5
CALR-type-2 or triple-negative mutation1.821.10–3.020.020.5
Fibrosis grade 2 or 32.511.37–4.590.0031

Abbreviations: CI, confidence interval; DIPSS, Dynamic International Prognostic Scoring System; HR, hazard ratio.

Based on these data, we developed a new prognostic model using the HRs defined in the Cox regression. We assigned each factor a weight: (1) 2 for DIPSS high risk; (2) 1 for DIPSS intermediate-2 risk and platelets <100 × 109/l; (3) 0.5 for no splenomegaly and CALR-type-2 or triple-negative mutation. Patients were categorized into four risk cohorts: (1) low (0–1); (2) intermediate-1 (1.5 and 2); intermediate-2 (2.5 and 3); and high (⩾3.5). One hundred and thirty-one subjects (39.7%) were categorized into low-risk cohort, 100 (30.3%) intermediate-1-risk cohort, 68 (20.6%) intermediate-2-risk cohort and 31 (9.4%) high-risk cohort. The median OS for the four risk categories was not reached, 240, 72 and 18 months, respectively, and the difference was highly significant (P<0.001; Figure 1). Compared with estimated HRs for survival in the low-risk cohort, HRs were 2.94 (95% CI, 1.45–5.99; P=0.003) for the intermediate-1-risk cohort, 6.18 (95% CI, 3.05–12.52; P<0.001) for the intermediate-2-risk cohort and 22.70 (95% CI, 10.81–47.67; P<0.001) for the high-risk cohort.
Figure 1

Kaplan–Meier curves of OS in 301 patients according to bone marrow fibrosis grade together with DIPSS variables, no palpable splenomegaly, thrombocytopenia and CALR-type-2 or triple-negative mutations.

Histopathological findings are major criteria for PMF together with polycythemia vera and essential thrombocythemia (ET) according to the revised 2016 WHO classification.[1] Hematopoietic cellularity, granulocytic, erythrocytic and megakaryocytic proliferation, abnormal arrangement, location and morphology of megakaryocyte and reticulin and/or collagen fibrosis are key points concerning the distinction between polycythemia vera, ET, prePMF and overt PMF.[9, 10] Reproducibility and clinical usefulness of the WHO classification to differential diagnosis for Ph− myeloproliferative dysplasia persisted to be a controversial issue in recent years. Although some studies offered some criticisms of WHO morphological classification,[11, 12] a number of clinico-pathological studies by independent working groups demonstrated that definite diagnosis could be made by strictly regarding histopathological features according to the WHO criteria.[13, 14] Compared with ET and overt PMF, prePMF has unique clinical and laboratory features and outcome.[15] Therefore, discriminating prePMF from ET and overt PMF is necessary and accurate evaluation of BM fibrosis grade is a key issue to diagnosis and prognostic evaluation for prePMF. Our study indicated that higher BM fibrosis grade was associated with some poor prognostic characteristics, including older age, anemia, thrombocytopenia, unfavorable karyotype and a higher DIPSS risk category, but fibrosis grade was not associated with driver mutations. Multivariable analyses confirmed that fibrosis grade was independent of DIPSS score for PMF patients, especially in the lower-risk group.Findings from this study agreed with previous studies.[3, 4, 5] This study indicated that there were obvious differences in clinical characteristics and prognosis between prePMF (MF-0 or MF-1) and overt PMF fibrosis (MF-2 or MF-3) as currently defined by WHO. Therefore, adding fibrosis grade into the traditional prognostic scoring system is necessary to accurate evaluation of prognosis. In conclusion, we confirmed the independent prognostic impact of fibrosis grade in PMF and the important clinical meaning of the revised 2016 WHO classification for PMF. The main limitation of this study is the lack of validation in an independent cohort of the proposed score; ideally this score system should be validated in another data set in the future.
  15 in total

1.  The prognostic impact of bone marrow fibrosis in primary myelofibrosis.

Authors:  Paola Guglielmelli; Alessandro M Vannucchi
Journal:  Am J Hematol       Date:  2016-07-29       Impact factor: 10.047

2.  European Bone Marrow Working Group trial on reproducibility of World Health Organization criteria to discriminate essential thrombocythemia from prefibrotic primary myelofibrosis.

Authors:  Thomas Buhr; Konnie Hebeda; Vassiliki Kaloutsi; Anna Porwit; Jon Van der Walt; Hans Kreipe
Journal:  Haematologica       Date:  2011-11-04       Impact factor: 9.941

3.  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).

Authors:  Francesco Passamonti; Francisco Cervantes; Alessandro Maria Vannucchi; Enrica Morra; Elisa Rumi; Arturo Pereira; Paola Guglielmelli; Ester Pungolino; Marianna Caramella; Margherita Maffioli; Cristiana Pascutto; Mario Lazzarino; Mario Cazzola; Ayalew Tefferi
Journal:  Blood       Date:  2009-12-14       Impact factor: 22.113

4.  European consensus on grading bone marrow fibrosis and assessment of cellularity.

Authors:  Jürgen Thiele; Hans Michael Kvasnicka; Fabio Facchetti; Vito Franco; Jon van der Walt; Attilio Orazi
Journal:  Haematologica       Date:  2005-08       Impact factor: 9.941

5.  The prognostic impact of bone marrow fibrosis in primary myelofibrosis.

Authors:  Michelle A Elliott; Ayalew Tefferi
Journal:  Am J Hematol       Date:  2016-07-14       Impact factor: 10.047

Review 6.  The 2016 revision of WHO classification of myeloproliferative neoplasms: Clinical and molecular advances.

Authors:  T Barbui; J Thiele; H Gisslinger; G Finazzi; A M Vannucchi; A Tefferi
Journal:  Blood Rev       Date:  2016-06-11       Impact factor: 8.250

Review 7.  The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia.

Authors:  Daniel A Arber; Attilio Orazi; Robert Hasserjian; Jürgen Thiele; Michael J Borowitz; Michelle M Le Beau; Clara D Bloomfield; Mario Cazzola; James W Vardiman
Journal:  Blood       Date:  2016-04-11       Impact factor: 22.113

8.  Prognostic impact of bone marrow fibrosis in primary myelofibrosis. A study of the AGIMM group on 490 patients.

Authors:  Paola Guglielmelli; Giada Rotunno; Annalisa Pacilli; Elisa Rumi; Vittorio Rosti; Federica Delaini; Margherita Maffioli; Tiziana Fanelli; Alessandro Pancrazzi; Lisa Pieri; Rajmonda Fjerza; Daniela Pietra; Daniela Cilloni; Emanuela Sant'Antonio; Silvia Salmoiraghi; Francesco Passamonti; Alessandro Rambaldi; Giovanni Barosi; Tiziano Barbui; Mario Cazzola; Alessandro M Vannucchi
Journal:  Am J Hematol       Date:  2016-07-04       Impact factor: 10.047

Review 9.  Problems and pitfalls regarding WHO-defined diagnosis of early/prefibrotic primary myelofibrosis versus essential thrombocythemia.

Authors:  T Barbui; J Thiele; A M Vannucchi; A Tefferi
Journal:  Leukemia       Date:  2013-03-07       Impact factor: 11.528

10.  Bone marrow pathology in essential thrombocythemia: interobserver reliability and utility for identifying disease subtypes.

Authors:  Bridget S Wilkins; Wendy N Erber; David Bareford; Georgina Buck; Keith Wheatley; Clare L East; Beverley Paul; Claire N Harrison; Anthony R Green; Peter J Campbell
Journal:  Blood       Date:  2007-09-20       Impact factor: 22.113

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1.  The relationship between serum ferritin level and fibrosis and splenomegaly in myelofibrosis.

Authors:  Osman Yokus; Betul Yigit; Hasan Goze; Istemi Serin
Journal:  Am J Blood Res       Date:  2020-12-15

2.  Mortality outcomes and survival patterns of patients with myeloproliferative neoplasms in Malaysia.

Authors:  Yee Yee Yap; Jameela Sathar; Kian Boon Law
Journal:  Cancer Causes Control       Date:  2021-11-30       Impact factor: 2.506

Review 3.  Prognostication in Philadelphia Chromosome Negative Myeloproliferative Neoplasms: a Review of the Recent Literature.

Authors:  Amy Zhou; Amber Afzal; Stephen T Oh
Journal:  Curr Hematol Malig Rep       Date:  2017-10       Impact factor: 3.952

4.  [Fibrosis-driving cells in patients with primary myelofibrosis and myelodysplastic syndromes with myelofibrosis].

Authors:  Y N Cai; P H Zhang; L H Fang; J Q Liu; B Li; Z F Xu; T J Qin; Z J Xiao
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2020-12-14

5.  [Chinese guideline on the diagnosis and treatment of primary myelofibrosis (2019)].

Authors: 
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2019-01-14
  5 in total

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