DIPSS plus effectively combines prognostic information from DIPSS, karyotype, platelet count, and transfusion status to predict overall survival in PMF. In addition, unfavorable karyotype or thrombocytopenia predicts inferior leukemia-free survival.
This study signifies the presence of specific cytokine-phenotype associations in PMF and a prognostically relevant plasma cytokine signature that might prove useful as a laboratory tool for predicting and monitoring treatment response.
Calreticulin (CALR) mutations were recently described in JAK2 and MPL unmutated primary myelofibrosis (PMF) and essential thrombocythemia. In the current study, we compared the clinical, cytogenetic and molecular features of patients with PMF with or without CALR, JAK2 or MPL mutations. Among 254 study patients, 147 (58%) harbored JAK2, 63 (25%) CALR and 21 (8.3%) MPL mutations; 22 (8.7%) patients were negative for all three mutations, whereas one patient expressed both JAK2 and CALR mutations. Study patients were also screened for ASXL1 (31%), EZH2 (6%), IDH (4%), SRSF2 (12%), SF3B1 (7%) and U2AF1 (16%) mutations. In univariate analysis, CALR mutations were associated with younger age (P<0.0001), higher platelet count (P<0.0001) and lower DIPSS-plus score (P=0.02). CALR-mutated patients were also less likely to be anemic, require transfusions or display leukocytosis. Spliceosome mutations were infrequent (P=0.0001) in CALR-mutated patients, but no other molecular or cytogenetic associations were evident. In multivariable analysis, CALR mutations had a favorable impact on survival that was independent of both DIPSS-plus risk and ASXL1 mutation status (P=0.001; HR 3.4 for triple-negative and 2.2 for JAK2-mutated). Triple-negative patients also displayed inferior LFS (P=0.003). The current study identifies 'CALR(-)ASXL1(+)' and 'triple-negative' as high-risk molecular signatures in PMF.
4104 Background: The International Prognostic Scoring System (IPSS) for primary myelofibrosis (PMF) uses five predictors of inferior survival: age > 65 years, hemoglobin < 10 g/dL, leukocytes > 25 × 109/L, circulating blasts ≥ 1% and constitutional symptoms (Cervantes F et al. Blood 2009; 113: 2895). The dynamic IPSS (DIPSS) utilizes the same prognostic variables but can be applied at any time during the disease course (Passamonti F et al. Blood 2010; 115: 1703). IPSS-independent risk factors for survival have since been described and include unfavorable karyotype, red cell transfusion need and platelets < 100 × 109/L. Objectives: i) To determine if the aforementioned IPSS-independent risk factors for survival in PMF (i.e. unfavorable karyotype, red cell transfusion need and platelets < 100 × 109/L) are also DIPSS-independent. ii) To develop and validate a refined DIPSS model that incorporates DIPSS-independent prognostic factors for survival. iii) To establish a prognostic model for leukemia-free survival in PMF. Methods: The Mayo Clinic database for PMF was used to identify patients in whom bone marrow histologic and cytogenetic information was obtained at the time of their referral. WHO criteria were used for PMF diagnosis and leukemic transformation (Vardiman JW et al. Blood 2009; 114: 937). None of the patients in the current study were included in the original group of patients used to describe DIPSS (Passamonti F et al. Blood 2010; 115: 1703). Results: A total of 793 patients met the above-stipulated criteria. The study population was divided into two groups based on whether or not patients were seen at the Mayo Clinic within (n=428; training set) or beyond (n=365; test set) their first year of diagnosis. i) Objective 1: Multivariable analysis that included DIPSS risk category (low, intermediate-1, intermediate-2 and high risk), karyotype (favorable or unfavorable), platelet count (≥ or <100 × 109/L) and transfusion status (independent or dependent) was performed using the training set and all four variables were found to be significant as independent predictors of survival (p<0.0001, <0.0001, 0.0008 and 0.01, respectively). ii) Objective 2: Using the respective hazard ratios (HR) obtained during the multivariable prognostic analysis in the training set, HR-weighted adverse points were assigned: 3 points for high-risk DIPSS, 2 points for intermediate-2 risk DIPSS, and 1 point each for intermediate-1 risk DIPSS, unfavorable karyotype, platelets < 100 × 109/L or transfusion need. Accordingly, a refined DIPSS model (i.e. DIPSS-plus) was devised using the training set (Figure 1) and subsequently validated in the test set (Figure 2): low-risk (0 adverse points), intermediate-1 risk (1 adverse point), intermediate-2 risk (2-3 adverse points) and high-risk (4-6 adverse points). Considering the entire group of 793 study patients, the respective median survivals were 185, 78, 35 and 16 months (p<0.0001). ii) Objective 3: Multivariable analysis identified platelet count (p=0.0007) and karyotype (p=0.04) but not DIPSS or transfusion status as independent predictors of leukemia-free survival. We used these two variables to classify patients into a low (favorable karyotype and platelets ≥ 100 × 109/L) or high (unfavorable karyotype or platelets < 100 × 109/L) risk category for leukemic transformation; the respective 5- and 10-year risk of leukemic transformation were 6% and 12% vs. 18% and 31%, respectively (p<0.0001; HR 3.3, 95% CI 1.9–5.6). Conclusions: DIPSS-plus effectively incorporates prognostic information from karyotype, platelet count and transfusion status into the DIPSS prognostic model for PMF. Unfavorable karyotype or platelets <100 × 109/L is associated with a significantly higher risk of leukemic transformation in PMF. Disclosures: No relevant conflicts of interest to declare.
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