Literature DB >> 29568091

Sex and degree of severity influence the prognostic impact of anemia in primary myelofibrosis: analysis based on 1109 consecutive patients.

Maura Nicolosi1, Mythri Mudireddy1, Terra L Lasho1, Curtis A Hanson2, Rhett P Ketterling3, Naseema Gangat1, Animesh Pardanani1, Ayalew Tefferi4.   

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Year:  2018        PMID: 29568091      PMCID: PMC5940639          DOI: 10.1038/s41375-018-0028-x

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


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Anemia is one of the major risk factors for survival in primary myelofibrosis (PMF). Current prognostic models in PMF, including the International Prognostic Scoring System (IPSS) [1], dynamic IPSS (DIPSS) [2] and DIPSS-plus [3], all list hemoglobin level (Hb) of <10 g/dl as one of their risk variables. However, the 10 g/dl Hb threshold used in these prognostic models overlooks the significant difference in Hb levels between men and women, and, also assumes similar prognostic weight between moderate and severe anemia; in regards to the latter, for example, red cell transfusion need confers an additional point of prognostic adversity in DIPSS-plus, which is independent of and in addition to what is accounted for a hemoglobin level of <10 g/dl [3]. The “dose-dependent” prognostic effect of anemia, and the effect of sex on the selection of prognostically relevant Hb thresholds, has previously been recognized in myelodysplastic syndromes (MDS) [4]. In the current study, we examined the severity-stratified and sex-specific prognostic contribution of anemia in PMF, in the context of other relevant clinical, cytogenetic and molecular risk factors. The current study was approved by the Mayo Clinic institutional review board and consent from research studies was obtained in all subjects. Consecutive cases of PMF were recruited from institutional databases of the Mayo Clinic, Rochester, MN, USA, where the 2016 World Health Organization (WHO) criteria for PMF were retrospectively applied to confirm the diagnosis [5]. Special precaution was taken to avoid inclusion of patients with post-polycythemia vera myelofibrosis; only one woman had a hemoglobin level of >16 g/dl (16.1 g/dl) and only one man had a hemoglobin level of >16.5 (16.7 g/dl); in both instances, re-review of clinical and bone marrow morphological features were fully consistent with PMF and there was no antecedent history of PV in either. Treatment was according to conventional standards utilized at the time of diagnosis. Clinical and laboratory data, including cytogenetic information, were collected at the time of initial referral to our institution. Cytogenetic analysis and reporting was done according to the International System for Human Cytogenetic Nomenclature (ISCN) criteria [6]. The recently revised system was used for cytogenetic risk stratification (Tefferi et al. personal communication, 17 December 2017; see Table 1 footnote). Survival was calculated from time of initial referral, commensurate with time of baseline data acquisition, including cytogenetic and mutation analysis. Standard statistical methods were used to determine significance of differences among groups in the distribution of continuous or nominal variables. Overall survival data were prepared by the Kaplan–Meier method and compared by the log-rank test. Cox proportional hazard regression model was applied for multivariable analysis. P value < 0.05 was considered significant. The Stat View (SAS Institute, Cary, NC, USA) statistical package was used for all calculations. Patients were stratified according to the severity of anemia: mild—Hb ≥ 10 g/dl but below sex-adjusted lower limit of normal; moderate—Hb between 8 g/dl and <10 g/dl; and severe—Hb < 8 g/dl or transfusion-dependent. Reference ranges for Hb, at our institution, were 13.5–17.5 g/dl for men and 12.0–15.5 g/dl for women.
Table 1

Univariate and multivariable analysis of survival in 1109 patients with primary myelofibrosis

Overall survival
VariablesUnivariate analysis P value (HR, 95%CI)Multivariable analysis P value (HR, 95%CI)
Male<0.0001 (1.3, 1.2–1.5)
Age > 65 years<0.0001 (2.4, 2–2.7)<0.0001 (2, 1.6–2.7)
Degree of anemia<0.0001 0.0001
 Severe anemia  0.0001 (3.4, 2.7–4.3)  0.0001 (2.5, 1.7–3.8)
 Moderate anemia  0.0001 (2.1, 1.6–2.8)0.02 (1.7, 1.1–2.8)
 Mild anemia0.009 (1.4, 1.1–1.7)0.01(1.7, 1.1–2.5)
 No anemiaReferenceReference
Leukocytes >25 × 109/l<0.0001 (2.2, 1.8–2.6)0.01 (1.5, 1.1–2)
Platelets <100 × 109/l<0.0001(2, 1.7–2.4)
Constitutional symptoms<0.0001(1.8, 1.6–2)0.01 (1.4, 1.1–1.8)
Circulating blasts ≥ 1%<0.0001 (1.7, 1.4–2)0.008 (1.4, 1.1–1.8)
Driver mutational status (type 1/like CALR reference)<0.0001<0.0001
JAK 20.0001 (2.6, 2–3.5)0.0001 (2.5, 1.8–3.6)
Type 2/like CALR0.001 (2.5, 1.4–4.5)0.02 (2.2, 1.1–4.3)
MPL0.01 (1.8, 1.1–3)0.0003 (2.7, 1.6–4.8)
 Triple negative0.0001 (2.4, 1.6–3.6)0.0008 (2.2, 1.4–3.4)
Type 1/like CALR absent<0.0001 (2.5, 1.9–3.4)<0.0001 (2.5–1.7–3.5)
ASXL1–mutated<0.0001 (2, 1.6–2.5)<0.0001 (1.8, 1.4–2.3)
SRSF2-mutated<0.0001 (2, 1.5–2.6)0.001 (1.7, 1.2–2.3)
DIPSS<0.0001
 High0.0001 (10, 7.3–14)
 Intermediate 20.0001 (6, 4.6–8.2)
 Intermediate-10.0001 (2.7, 2.0–3.6)
 LowReference
DIPSS-plus<0.0001
 High0.0001 (10, 7.2–13.8)
 Intermediate 20.0001 (4.7, 3.3–6.3)
 Intermediate-10.0001 (2, 1.4–2.9)
 LowReference
Revised cytogenetic riska<0.0001<0.0001
 VHR0.0001 (3.8, 2.9–4.9)0.0001 (3.6, 2.3–5.8)
 Unfavorable0.0001 (1.6, 1.4–2)0.0001 (2.4, 1.8–3.3)
 FavorableReferenceReference

The values in bold indicate a significant P value ( < 0.05)

aRevised cytogenetic risk stratification: “very high risk (VHR)”—single/multiple abnormalities of –7, i(17q), inv(3)/3q21, 12p−/12p11.2, 11q−/11q23, +21, or other autosomal trisomies, not including +8 / +9; “favorable”—normal karyotype or sole abnormalities of 13q−, + 9, 20q−, chromosome 1 translocation/duplication or sex chromosome abnormality including -Y; “unfavorable”—all other abnormalities (Tefferi et al. personal communication, 05 November 2017)

Univariate and multivariable analysis of survival in 1109 patients with primary myelofibrosis The values in bold indicate a significant P value ( < 0.05) aRevised cytogenetic risk stratification: “very high risk (VHR)”—single/multiple abnormalities of –7, i(17q), inv(3)/3q21, 12p−/12p11.2, 11q−/11q23, +21, or other autosomal trisomies, not including +8 / +9; “favorable”—normal karyotype or sole abnormalities of 13q−, + 9, 20q−, chromosome 1 translocation/duplication or sex chromosome abnormality including -Y; “unfavorable”—all other abnormalities (Tefferi et al. personal communication, 05 November 2017) A total of 1109 consecutive patients with PMF were considered (median age 65 years; 63% men) (Supplementary table 1). DIPSS risk distribution was 11% high, 43% intermediate−2, 34% intermediate-1 and 12% low. Among informative cases, karyotype was “very high risk” in 7%, unfavorable in 19% and favorable in 74%; driver mutation distribution was 66% JAK2, 16% CALR type 1/like, 3% CALR type 2/like, 5% MPL and 10% triple-negative; ASXL1, SRSF2 and U2AF1 mutation frequencies were 38, 14, and 16%, respectively (Supplementary table 1). Anemia, defined as a hemoglobin level of below the lower limit of normal, adjusted for sex, was present in 950 (86%) patients and ranged in severity from mild (Hb ≥ 10 g/dl and less than sex-adjusted lower limit of normal) in 35%, to moderate (Hb ≥ 8 and <10 g/dl) in 14%, to severe (Hb < 8 g/dl or transfusion-dependent) in 37%; the prevalence of anemia in general, mild anemia and severe anemia for men vs. women were 90 vs. 78%, 38 vs. 29% and 38 vs. 35%, respectively (p < 0.001). As outlined in supplementary table 1, and not unexpectedly, patients with moderate or severe anemia displayed older age distribution, lower leukocyte and platelet counts, higher circulating blast percentage, higher prevalence of constitutional symptoms, and higher clinical and cytogenetic risk categories. Also, consistent with previous observations, U2AF1 mutations clustered with severe anemia and lower frequency of type 1/like CALR mutations [7]. On the other hand, as was evident in supplementary table 1, there was no difference in the prevalence of marked leukocytosis or SF3B1 or high molecular risk mutations, including ASXL1 and SRSF2. At the time of this writing, 823 (74%) deaths, 82 (7.4%) leukemic transformations, and 53 (4.8%) stem cell transplants were recorded and median follow-up time for living patients was 6.1 years. In univariate analysis, all grades of anemia (i.e., mild, moderate, and severe) predicted shortened survival with HR (95% CI) of 3.4 (2.7–4.3) for severe, 2.1 (1.6–2.8) for moderate, and 1.4 (1.1–1.7) for mild (Table 1; Fig. 1a). Prognostic relevance was sustained for all grades of anemia during multivariable analysis, with respective HR (95% CI) of 2.5 (1.7–3.8), 1.7 (1.1–2.8) and 1.7 (1.1–2.5) for severe, moderate, and mild degrees of anemia; other variables of significance in the multivariable prognostic model included the revised cytogenetic risk stratification (p < 0.001), driver mutational status (p < 0.001), ASXL1 (p < 0.001) and SRSF2 (p = 0.001) mutations, and all clinical variables used in DIPSS or DIPSS-plus (Table 1). However, sex-specific analysis revealed that the prognostic contribution of mild anemia (i.e. Hb ≥ 10 g/dl but below sex-adjusted lower limit of normal) was evident only in men (HR: 1.7, 95% CI 1.2–2.4) and not in women (HR: 1.0, 95% CI: 0.7–1.4), whereas the impact of severe or moderate anemia were apparent in both sexes (Fig. 1b, c); severe vs no anemia HRs (95% CI) were 3.9 (2.8–5.6) for males and 2.9 (2.1–4.0) for females, while the corresponding figures for moderate vs no anemia were 2.6 (1.8–3.9) for males and 1.7 (1.2–2.6) for females.
Fig. 1

a Survival data on 1109 patients with primary myelofibrosis stratified by the degree of anemia. b Survival data on 694 men with primary myelofibrosis stratified by the degree of anemia. c Survival data on 415 women with primary myelofibrosis stratified by the degree of anemia

a Survival data on 1109 patients with primary myelofibrosis stratified by the degree of anemia. b Survival data on 694 men with primary myelofibrosis stratified by the degree of anemia. c Survival data on 415 women with primary myelofibrosis stratified by the degree of anemia In univariate analysis, severe anemia (HR: 2.8, 95% CI: 1.3–6.0) and moderate anemia (HR: 2.7, 95% CI: 1.2–6.2) were both associated with inferior leukemia-free survival; other variables of significance for leukemia-free survival, in univariate analysis, included platelets <100 × 109/l, circulating blasts ≥1%, triple-negative driver mutational status, ASXL1 mutations, SRSF2 mutations, revised cytogenetic risk category, DIPSS and DIPSS-plus (p < 0.05 in all instances). However, in multivariable analysis, prognostic relevance of degree of anemia was no longer apparent (p = 0.24) whereas cytogenetic risk (HR: 3.6, 95% CI: 1.2–10.7 for very high risk karyotype and HR: 2.4, 95% CI: 1.2–5.0 for unfavorable karyotype), SRSF2 mutations (HR: 5.4, 95% CI: 3.0–10.2), ASXL1 mutations (HR: 2.0, 95% CI 1.1–3.5), platelets <100 × 109/l (HR: 2.4, 95% CI: 1.3–4.4) and circulating blasts ≥1% (HR: 2.0, 95% CI: 1.1–3.5) remained significant. In the current series of patients with PMF, anemia defined as a Hb level of below sex-adjusted lower limit of normal, was present in 86% of the patients. In this regard, it is important to note that there was no intential selection bias and that we did not distinguish between prefibrotic and overtaly fibrotic PMF [5]. It is conceivable that the incidence of anemia might have been lower in patients with prefibrotic PMF and in those evaluated at the time of initial diagnosis. Therefore, one should be careful in the interpretation of the results from the current study as they might not be as applicable in the setting of IPSS or prefibrotic PMF. The current study suggests that the hemoglobin threshold level of 10 g/dl, conventionally used for prognostication in PMF, might be deficient as it fails to account for severity of anemia and effect of sex on hemoglobin levels. More specifically, we found that mild anemia, defined as a hemoglobin level of ≥10 g/dl, but below the sex-adjusted lower limit of normal, independently predicted shortened survival in men, but not in women (Fig. 1b, c). Also of note, severe anemia, defined as a Hb level of <8 g/dl or transfusion-dependence, was associated with a more than 1.5-fold increase in risk of death, compared to that observed for moderate anemia, in both sexes. In this regard, it is important to note that the differential prognostic impact of anemia severity in PMF was already recognized in the context of DIPSS-plus, where adverse point allocation for anemia included two points for patients requiring red cell transfusions vs. only one point for those not requiring transfusions but displayed a hemoglobin level of <10 g/dl [3]. Furthermore, in a post hoc analysis of receiver operating characteristic (ROC) curve, the Hb threshold for severe anemia was determined at 8 g/dl for women and 9 g/dl for men. Therefore, the impact of sex on the prognostic relevance of anemia in PMF might not be restricted to only patients with mild anemia. We conclude that future prognostic models in PMF should employ sex-specific Hb thresholds, as is currently practiced in MDS [8], and also consider assigning prognostic scores for anemia that are proportional to its severity. Supplemental table 1(DOCX 31 kb)
  6 in total

1.  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).

Authors:  M G Della Porta; H Tuechler; L Malcovati; J Schanz; G Sanz; G Garcia-Manero; F Solé; J M Bennett; D Bowen; P Fenaux; F Dreyfus; H Kantarjian; A Kuendgen; A Levis; J Cermak; C Fonatsch; M M Le Beau; M L Slovak; O Krieger; M Luebbert; J Maciejewski; S M M Magalhaes; Y Miyazaki; M Pfeilstöcker; M A Sekeres; W R Sperr; R Stauder; S Tauro; P Valent; T Vallespi; A A van de Loosdrecht; U Germing; D Haase; P L Greenberg; M Cazzola
Journal:  Leukemia       Date:  2015-02-27       Impact factor: 11.528

2.  U2AF1 mutations in primary myelofibrosis are strongly associated with anemia and thrombocytopenia despite clustering with JAK2V617F and normal karyotype.

Authors:  A Tefferi; C M Finke; T L Lasho; E A Wassie; R Knudson; R P Ketterling; C A Hanson; A Pardanani
Journal:  Leukemia       Date:  2013-10-07       Impact factor: 11.528

3.  Impact of the degree of anemia on the outcome of patients with myelodysplastic syndrome and its integration into the WHO classification-based Prognostic Scoring System (WPSS).

Authors:  Luca Malcovati; Matteo G Della Porta; Corinna Strupp; Ilaria Ambaglio; Andrea Kuendgen; Kathrin Nachtkamp; Erica Travaglino; Rosangela Invernizzi; Cristiana Pascutto; Mario Lazzarino; Ulrich Germing; Mario Cazzola
Journal:  Haematologica       Date:  2011-06-09       Impact factor: 9.941

4.  DIPSS plus: a refined Dynamic International Prognostic Scoring System for primary myelofibrosis that incorporates prognostic information from karyotype, platelet count, and transfusion status.

Authors:  Naseema Gangat; Domenica Caramazza; Rakhee Vaidya; Geeta George; Kebede Begna; Susan Schwager; Daniel Van Dyke; Curtis Hanson; Wenting Wu; Animesh Pardanani; Francisco Cervantes; Francesco Passamonti; Ayalew Tefferi
Journal:  J Clin Oncol       Date:  2010-12-13       Impact factor: 44.544

5.  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

6.  New prognostic scoring system for primary myelofibrosis based on a study of the International Working Group for Myelofibrosis Research and Treatment.

Authors:  Francisco Cervantes; Brigitte Dupriez; Arturo Pereira; Francesco Passamonti; John T Reilly; Enrica Morra; Alessandro M Vannucchi; Ruben A Mesa; Jean-Loup Demory; Giovanni Barosi; Elisa Rumi; Ayalew Tefferi
Journal:  Blood       Date:  2008-11-06       Impact factor: 22.113

  6 in total
  8 in total

Review 1.  Mutational profiling in myelofibrosis: implications for management.

Authors:  Prithviraj Bose; Srdan Verstovsek
Journal:  Int J Hematol       Date:  2019-10-19       Impact factor: 2.490

2.  Disease Modification in Myelofibrosis: An Elusive Goal?

Authors:  Pankit Vachhani; Srdan Verstovsek; Prithviraj Bose
Journal:  J Clin Oncol       Date:  2022-01-27       Impact factor: 44.544

3.  ACVR1/JAK1/JAK2 inhibitor momelotinib reverses transfusion dependency and suppresses hepcidin in myelofibrosis phase 2 trial.

Authors:  Stephen T Oh; Moshe Talpaz; Aaron T Gerds; Vikas Gupta; Srdan Verstovsek; Ruben Mesa; Carole B Miller; Candido E Rivera; Angela G Fleischman; Swati Goel; Mark L Heaney; Casey O'Connell; Murat O Arcasoy; Yafeng Zhang; Jun Kawashima; Tomas Ganz; Mark Kowalski; Carrie Baker Brachmann
Journal:  Blood Adv       Date:  2020-09-22

Review 4.  Polycythemia vera: historical oversights, diagnostic details, and therapeutic views.

Authors:  Ayalew Tefferi; Alessandro M Vannucchi; Tiziano Barbui
Journal:  Leukemia       Date:  2021-09-03       Impact factor: 11.528

5.  Overall survival in the SIMPLIFY-1 and SIMPLIFY-2 phase 3 trials of momelotinib in patients with myelofibrosis.

Authors:  Ruben Mesa; Claire Harrison; Stephen T Oh; Aaron T Gerds; Vikas Gupta; John Catalano; Francisco Cervantes; Timothy Devos; Marek Hus; Jean-Jacques Kiladjian; Ewa Lech-Maranda; Donal McLornan; Alessandro M Vannucchi; Uwe Platzbecker; Mei Huang; Bryan Strouse; Barbara Klencke; Srdan Verstovsek
Journal:  Leukemia       Date:  2022-07-22       Impact factor: 12.883

6.  Gender effect on phenotype and genotype in patients with post-polycythemia vera and post-essential thrombocythemia myelofibrosis: results from the MYSEC project.

Authors:  Daniela Barraco; Barbara Mora; Paola Guglielmelli; Elisa Rumi; Margherita Maffioli; Alessandro Rambaldi; Marianna Caramella; Rami Komrokji; Jason Gotlib; Jean Jacques Kiladjian; Francisco Cervantes; Timothy Devos; Francesca Palandri; Valerio De Stefano; Marco Ruggeri; Richard T Silver; Giulia Benevolo; Francesco Albano; Michele Merli; Daniela Pietra; Tiziano Barbui; Giada Rotunno; Mario Cazzola; Toni Giorgino; Alessandro Maria Vannucchi; Francesco Passamonti
Journal:  Blood Cancer J       Date:  2018-09-21       Impact factor: 11.037

7.  Leukemic transformation among 1306 patients with primary myelofibrosis: risk factors and development of a predictive model.

Authors:  Rangit R Vallapureddy; Mythri Mudireddy; Domenico Penna; Terra L Lasho; Christy M Finke; Curtis A Hanson; Rhett P Ketterling; Kebede H Begna; Naseema Gangat; Animesh Pardanani; Ayalew Tefferi
Journal:  Blood Cancer J       Date:  2019-01-25       Impact factor: 11.037

Review 8.  Momelotinib: an emerging treatment for myelofibrosis patients with anemia.

Authors:  Helen T Chifotides; Prithviraj Bose; Srdan Verstovsek
Journal:  J Hematol Oncol       Date:  2022-01-19       Impact factor: 17.388

  8 in total

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