Cytokine Profile Changes In 309 Myelofibrosis Patients: Comparison Of JAK1/JAK2 Inhibitor Therapy Vs. Placebo – Correlative Analysis From The Comfort-I Trial
Abstract Background Inflammatory deregulation may be a major factor in cancer related symptoms (Dantzer Nature Rev Clin Oncol 2012). Improved symptoms in myelofibrosis (MF) patients treated with single arm ruxolitinib (JAK1/JAK2 inhibitor) studies has been correlated with normalization of selected cytokines increased pre-therapy (c-reactive protein, IL-1ra, MIP-1b, TNF-a, and IL-6; Verstovsek NEJM 2010). We sought to assess the impact of JAK1/JAK2 inhibitor therapy on cytokine levels and the relationship between cytokine levels and symptoms prior to and during JAK1/JAK2 inhibitor therapy in the phase III placebo controlled COMFORT-I trial (Verstovsek NEJM 2012). Methods Cytokine levels (89 cytokines measured at baseline and at weeks 4 and 24) and MF symptoms (assessed by MFSAF 2.0 – Mesa JCO 2013) were collected during the blinded phase of COMFORT-I. Patients were randomized to ruxolitinib vs. placebo. Plasma was used for the measurement of cytokines using Rules-Based Medicine, Inc. (Austin, TX) Human MAP panel. Associations between the MFSAF total symptom score (TSS) and log2-transformed cytokine data were investigated at baseline using Spearman correlations and linear regression. Mixed models were used to assess cytokine and TSS changes over time within each arm and overall. Logistic regression was used to assess the relationship between baseline cytokines and TSS response (>/=50% reduction from baseline) at week 24, and between week 4 cytokine changes and TSS response (>/=50% reduction from baseline) at week 24 within each arm and overall. Mixed and logistic regression models combining data across arms also included terms for visit, arm, and visit-by-arm interaction. All models also included age, gender, and body mass index (BMI). Given the large number of cytokines being investigated, p<0.001 was considered statistically significant. Cytokine values below the limit of detection were set at the lowest limit of detection and 25 cytokines were excluded from statistical analysis due to having more than 30% of data missing or below the limit of detection. Results Patients: 309 subjects were randomized in COMFORT-I with median age 68 (range 40-91), 46% female, 50% primary myelofibrosis, and 61% high risk. All 309 subjects had cytokines measured at one or more of the three visits included in this analysis, with 308 having cytokine values paired with a TSS score at the same visit. Cytokines at Baseline: At baseline, the highest Spearman correlations with symptomatic burden (as assessed by the TSS) were observed for APOA1 (rho=-.21) and FERRITIN (rho=-.20), followed by INTLK5, MIP1A, MMP3, INTLK2, MGB, INTLK1A, and INTLK7 with correlations between -.15 and -.17 (all p<0.01). After adjusting for age, sex, and BMI, VCAM1 and APOA1 were significantly associated with TSS at baseline. Cytokine and Symptom changes during trial: Changing levels of 5 cytokines were significantly associated with change of TSS over time beyond the change due to visit, arm, visit-by-arm interaction, age, sex and BMI including VCAM1, LEPTIN, TIMP1, B2MICG, and TNFRII. Within the placebo arm, only 5 cytokines significantly changed over time compared to 46 cytokines in the ruxolitinib arm (visit-by-arm interaction was significant for 43 in the overall models). VCAM1, B2MICG, and TNFRII were among the 5 cytokines which changed in the placebo arm, and VCAM1, LEPTIN, TIMP1, B2MICG, and TNFRII were among the 46 cytokines which changed in the ruxolitinib arm. No baseline cytokines and no changes in cytokines at week 4 univariately predicted week 24 TSS response within either arm at the p<0.001 level. Conclusions In the first serial assessment of MF symptoms and plasma cytokine levels in the conduct of a placebo controlled trial we found 5 cytokines in which improved levels correlated with decreased MF symptom burden in ruxolitinib treated patients. Development of a multivariate model for predicting symptom response, correlations with splenic response and impact on survival benefit of therapy is ongoing. Disclosures: No relevant conflicts of interest to declare.
Myeloproliferative (MPN) Symptom Burden Response Thresholds: Assessment Of MPN-SAF TSS Quartiles As Potential Markers Of Symptom Response
Abstract Background We have previously reported on the significant, but heterogeneous baseline MPN symptom burden among an international sample of MPN patients (including essential thrombocythemia (ET), polycythemia vera (PV), and myelofibrosis (MF)) utilizing the MPN Symptom Assessment Form (MPN-SAF) and the derivative Total Symptom Score (MPN-SAF TSS). Recent clinical trials have sought to determine optimal MPN symptom response criteria, such as absolute 10 point improvement in MPN SAF TSS for ET/PV (ELN Criteria, Barosi et. al. Blood 2013) and 50% reduction in MPN-SAF TSS for MF (IWG-MRT, Tefferi et. al. Blood 2013). We sought to determine the role of improvement in MPN-SAF TSS quartiles as potential thresholds to assess symptomatic response to therapy. Methods Utilizing prospectively gathered MPN-SAF TSS (Emanuel et. al. JCO 2012) in patients we assessed potential thresholds of response by evaluating quartile thresholds for severity of symptom burden. The MPN-SAF TSS was scored as the average of 10 symptoms (individual symptoms scores of 0-10, with a total score of 0 (best) to 100 (worst)). MPN-SAF TSS quartiles were identified by the percentage of scores between 0-24% (quartile 1 (Q1)), 25-49% (quartile 2 (Q2)), 50-74% (quartile 3 (Q3)), 75-100% (quartile 4 (Q4)). Results MPN-SAF TSS Quartiles: MPN-SAF TSS quartiles were identified among 1858 MPN patients (ET N=775, PV N=654, and MF N=423). Overall MPN-SAF TSS scores of 0 - 7 were designated as Q1, 8 - 17 as Q2, 18 - 31 as Q3, and ≥ 32 was as Q4. MPN-SAF TSS scores were significantly different between clusters (p<0.001). Associations Between Quartiles and Demographic/ Disease Factors: As quartiles increased, the proportion of PV and ET patients diminished and MF increased (Table 1, p<0.001). Cytopenias and transfusion dependence increased in prevalence in the higher quartiles (p<0.001). A history of prior thrombosis was also significantly more prevalent in the quartiles with highest symptom burden (p<0.001). The prevalence of women was significantly higher among the more symptomatic quartiles females 48.9% Q1, 49.4% Q2, 58.4% Q3, and 60.1% Q4; p<0.001). Associations Between Individual Symptoms and MPN-SAF TSS Quartiles: All individual symptoms measured in the MPN-SAF TSS were significantly worse in quartiles as they increased (p<0.0001). Evaluation of Prognostic Scoring and MPN-SAF TSS Quartiles: Comparison of each patients individual risk score (IPSET, PV, DIPSS for MF) and worsening symptom quartile showed the highest correlation with MF patients (DIPSS) (Table 1). However, ET and PV risk scores were not surrogates for symptom burden by quartile. Conclusions Distribution of MPN patient symptomatic burden by MPN-SAF TSS quartiles provides an easy-to-calculate method to cluster and analyze MPN patients of similar burden. Although MF patients are most prevalent in the most severe quartile of MPN symptomatology it is notable that Q4 has many patients with PV and ET. Future prospective efforts are ongoing to assess the potential of using changes in quartile (i.e. improving from Q3 to Q1) as potential symptomatic response thresholds. Disclosures: Etienne: novartis: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Bristol Myers Squibb: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Pfizer: Membership on an entity’s Board of Directors or advisory committees; Ariad: Membership on an entity’s Board of Directors or advisory committees. Roy:Novartis, BMS: Honoraria. Harrison:Gilead: Honoraria, Membership on an entity’s Board of Directors or advisory committees; S Bio: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Shire: Speakers Bureau; Celgene: Honoraria; YM Bioscience: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau. Vannucchi:Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees. Birgegard:Vifor Pharma: Honoraria.
Myeloproliferative Neoplasm (MPN) Symptom Assessment Form Total Symptom Score: Prospective International Assessment of an Abbreviated Symptom Burden Scoring System Among Patients With MPNs
Purpose Myeloproliferative neoplasm (MPN) symptoms are troublesome to patients, and alleviation of this burden represents a paramount treatment objective in the development of MPN-directed therapies. We aimed to assess the utility of an abbreviated symptom score for the most pertinent and representative MPN symptoms for subsequent serial use in assessing response to therapy. Patients and Methods The Myeloproliferative Neoplasm Symptom Assessment Form total symptom score (MPN-SAF TSS) was calculated as the mean score for 10 items from two previously validated scoring systems. Questions focus on fatigue, concentration, early satiety, inactivity, night sweats, itching, bone pain, abdominal discomfort, weight loss, and fevers. Results MPN-SAF TSS was calculable for 1,408 of 1,433 patients with MPNs who had a mean score of 21.2 (standard deviation [SD], 16.3). MPN-SAF TSS results significantly differed among MPN disease subtypes (P < .001), with a mean of 18.7 (SD, 15.3), 21.8 (SD, 16.3), and 25.3 (SD, 17.2) for patients with essential thrombocythemia, polycythemia vera, and myelofibrosis, respectively. The MPN-SAF TSS strongly correlated with overall quality of life (QOL; r = 0.59; P < .001) and European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 (EORTC QLQ-C30) functional scales (all P < .001 and absolute r ≥ 0.50 except social functioning r = 0.48). No significant trends were present when comparing therapy subgroups. The MPN-SAF TSS had excellent internal consistency (Cronbach's α = .83). Factor analysis identified a single underlying construct, indicating that the MPN-SAF TSS is an appropriate, unified scoring method. Conclusion The MPN-SAF TSS is a concise, valid, and accurate assessment of MPN symptom burden with demonstrated clinical utility in the largest prospective MPN symptom study to date. This new prospective scoring method may be used to assess MPN symptom burden in both clinical practice and trial settings.