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Ruxolitinib (INCB018424) is the first JAK1/JAK2 inhibitor approved for treatment of myelofibrosis. JAK/STAT-signalling is known to be involved in the regulation of CD4(+) T cells, which critically orchestrate inflammatory responses. To better understand how ruxolitinib modulates CD4(+) T cell responses, we undertook an in-depth analysis of CD4(+) T cell function upon ruxolitinib exposure. We observed a decrease in total CD3(+) cells after 3 weeks of ruxolitinib treatment in patients with myeloproliferative neoplasms. Moreover, we found that the number of regulatory T cells (Tregs), pro-inflammatory T-helper cell types 1 (Th1) and Th17 were reduced, which were validated by in vitro studies. In line with our in vitro data, we found that inflammatory cytokines [tumour necrosis factor-α (TNF), interleukin (IL)5, IL6, IL1B] were also downregulated in T cells from patients (all P < 0·05). Finally, we showed that ruxolitinib does not interfere with the T cell receptor signalling pathway, but impacts IL2-dependent STAT5 activation. These data provide a rationale for testing JAK inhibitors in diseases triggered by hyperactive CD4(+) T cells, such as autoimmune diseases. In addition, they also provide a potential explanation for the increased infection rates (i.e. viral reactivation and urinary tract infection) seen in ruxolitinib-treated patients., (© 2015 John Wiley & Sons Ltd.)

To define a prognostic model for predicting outcome of reduced-intensity allogeneic stem cell transplantation (RIC-ASCT) for myelofibrosis we evaluated 150 homogeneously treated patients and developed a new risk score for overall survival (OS). In a multivariate Cox model for OS, only JAK2 V617F wild-type, age ≥57 years and constitutional symptoms were independently predictive for OS (Hazard Ratio: 2·02; 2·43 and 2·80 respectively). Depending on the presence of one, two or all of these factors, HR of death was 3·08; 4·70 and 16·61 respectively (P < 0·001). This score was compared to the Lille, Cervantes, International Prognostic Scoring System (IPSS), dynamic IPSS (DIPSS) and modified European Blood and Marrow Transplantation Group (EBMT) scores. Lille score correlated significantly with OS but discriminated poorly between the intermediate and high-risk groups (5-year OS 56% and 51% respectively). IPSS and DIPSS correlated significantly with OS but differences between intermediate-1 and intermediate-2 groups were not significant (5-year OS 78% vs. 78% and 70%, 60% respectively). Modified EBMT and Cervantes models did not predict OS post-ASCT. In conclusion, a simple model which includes: age, JAK2 V617F-status and constitutional symptoms can clearly separate distinct risk groups and can be used in addition to the Lille model to predict OS after RIC-ASCT for myelofibrosis., (© 2012 Blackwell Publishing Ltd.)