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Laganà A, Passucci M, Pepe S, Scalzulli E, Carmosino I, Costa A, Bisegna ML, Ielo C, Martelli M, Breccia M. Neutrophil to lymphocyte ratio in myelofibrosis patients treated with ruxolitinib may predict prognosis and rate of discontinuation. Eur J Haematol 2024. [PMID: 38332702 DOI: 10.1111/ejh.14188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/27/2024] [Accepted: 01/29/2024] [Indexed: 02/10/2024]
Abstract
BACKGROUND Myelofibrosis (MF) is a clonal Philadelphia chromosome negative myeloproliferative neoplasm (Ph-MPN). MF is featured by an inflammatory condition that can also drive the progression of disease. Ruxolitinib (ruxo) is the-first-in-class Jak1/2 inhibitor approved for treatment of MF, proved to reduce spleen volume and decrease symptom burden. In various malignancies neutrophil-to-lymphocyte ratio (NLR) has been indicated as predictor of progression free survival (PFS) and overall survival (OS). NLR might reflect the balance between systemic inflammation and immunity and is emerging as a prognostic biomarker in several neoplasms, including the hematological ones. METHODS We analyzed a cohort of 140 MF patients treated with ruxo to validate baseline NLR (as a continuous variable and as a cut-off 2) as predictor of OS and of ruxo treatment discontinuation. RESULTS We found that both baseline NLR as a continuous variable [HR 0.8 (95% CI: 0.7-0.9) (p = .006)] and NLR (<2 vs. ≥2) [HR 3.4 (95% CI: 1.6-7.0) (p = .001)] were significantly associated with OS. Censoring for patients undergone allotransplant, baseline NLR <2 was predictive of an earlier ruxo any-other-cause discontinuation [HR 3.7 (95%CI 1.7-8.3) (p < .001)]. CONCLUSIONS NLR before starting ruxo treatment may be used as a simple and early predictor of OS and earlier ruxo discontinuation in clinical practice.
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Affiliation(s)
- Alessandro Laganà
- Hematology, Department of Translational and Precision Medicine, Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Mauro Passucci
- Hematology, Department of Translational and Precision Medicine, Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Sara Pepe
- Hematology, Department of Translational and Precision Medicine, Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Emilia Scalzulli
- Hematology, Department of Translational and Precision Medicine, Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Ida Carmosino
- Hematology, Department of Translational and Precision Medicine, Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Alessandro Costa
- Hematology Unit, Businco Hospital, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Maria Laura Bisegna
- Hematology, Department of Translational and Precision Medicine, Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Claudia Ielo
- Hematology, Department of Translational and Precision Medicine, Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Maurizio Martelli
- Hematology, Department of Translational and Precision Medicine, Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Massimo Breccia
- Hematology, Department of Translational and Precision Medicine, Policlinico Umberto I-Sapienza University, Rome, Italy
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Koster KL, Messerich NM, Volken T, Cogliatti S, Lehmann T, Graf L, Holbro A, Benz R, Demmer I, Jochum W, Rao TN, Silzle T. Prognostic Significance of the Myelodysplastic Syndrome-Specific Comorbidity Index (MDS-CI) in Patients with Myelofibrosis: A Retrospective Study. Cancers (Basel) 2023; 15:4698. [PMID: 37835392 PMCID: PMC10571648 DOI: 10.3390/cancers15194698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 09/11/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023] Open
Abstract
In myelofibrosis, comorbidities (CMs) add prognostic information independently from the Dynamic International Prognostic Scoring System (DIPSS). The Myelodysplastic Syndrome-Specific Comorbidity Index (MDS-CI) offers a simple tool for CM assessment as it is calculable after having performed a careful history and physical examination, a small routine chemistry panel (including creatinine and liver enzymes) and a limited set of functional diagnostics. To assess the prognostic impact of the MDS-CI in addition to the DIPSS and the Mutation-Enhanced International Prognostic Scoring System (MIPSS)-70, we performed a retrospective chart review of 70 MF patients who had not received allogeneic stem cell transplantation (primary MF, n = 51; secondary MF, n = 19; median follow-up, 40 months) diagnosed at our institution between 2000 and 2020. Cardiac diseases (23/70) and solid tumors (12/70) were the most common CMs observed at MF diagnosis. Overall survival (OS) was significantly influenced by the MDS-CI (median OS MDS-CI low (n = 38): 101 months; MDS-CI intermediate (n = 25): 50 months; and high (n = 7): 8 months; p < 0.001). The MDS-CI added prognostic information after inclusion as a categorical variable in a multivariate model together with the dichotomized DIPSS or the dichotomized MIPSS70: MDS-CI high HR 14.64 (95% CI 4.42; 48.48), p = 0.0002, and MDS-CI intermediate HR 1.97 (95% CI 0.96; 4.03), p = 0.065, and MDS-CI high HR 19.65 (95% CI 4.71; 81.95), p < 0.001, and MDS-CI intermediate HR 1.063 (95% CI 0.65; 4.06), p = 0.2961, respectively. The analysis of our small and retrospective MF cohort suggests that the MDS-CI represents a useful tool to identify MF patients with an increased vulnerability due to comorbidities. However, analyses of larger cohorts are necessary to define the value of the MDS-CI as a prognostic tool in comparison with other comorbidity indices.
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Affiliation(s)
- Kira-Lee Koster
- Clinic for Medical Oncology and Hematology, Cantonal Hospital St. Gallen, 9007 St. Gallen, Switzerland
| | - Nora-Medea Messerich
- Department of Intensive Care, Cantonal Hospital St. Gallen, 9007 St. Gallen, Switzerland
| | - Thomas Volken
- ZHAW School of Health Sciences, Institute of Public Health, 8400 Winterthur, Switzerland
| | - Sergio Cogliatti
- Institute of Pathology, Cantonal Hospital St. Gallen, 9007 St. Gallen, Switzerland
| | - Thomas Lehmann
- Clinic for Medical Oncology and Hematology, Cantonal Hospital St. Gallen, 9007 St. Gallen, Switzerland
- Institute of Pathology, Cantonal Hospital St. Gallen, 9007 St. Gallen, Switzerland
| | - Lukas Graf
- Centre for Laboratory Medicine, 9001 St. Gallen, Switzerland
| | - Andreas Holbro
- Division of Hematology, University Hospital of Basel and University of Basel, 4001 Basel, Switzerland
| | - Rudolf Benz
- Division of Hematology and Oncology, Spital Thurgau AG, 8569 Muensterlingen, Switzerland
| | - Izadora Demmer
- Institute of Pathology, Cantonal Hospital St. Gallen, 9007 St. Gallen, Switzerland
| | - Wolfram Jochum
- Institute of Pathology, Cantonal Hospital St. Gallen, 9007 St. Gallen, Switzerland
| | - Tata Nageswara Rao
- Laboratory of Stem Cells and Cancer Biology, Department of Medical Oncology and Hematology, Medical Research Center, Cantonal Hospital St. Gallen, 9007 St. Gallen, Switzerland
- Institute for Pharmacology, University of Bern, 3012 Bern, Switzerland
| | - Tobias Silzle
- Clinic for Medical Oncology and Hematology, Cantonal Hospital St. Gallen, 9007 St. Gallen, Switzerland
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Ma VT, Boonstra PS, Menghrajani K, Perkins C, Gowin KL, Mesa RA, Gotlib JR, Talpaz M. Treatment With JAK Inhibitors in Myelofibrosis Patients Nullifies the Prognostic Impact of Unfavorable Cytogenetics. Clin Lymphoma Myeloma Leuk 2018; 18:e201-10. [PMID: 29574002 DOI: 10.1016/j.clml.2018.02.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 02/26/2018] [Indexed: 11/24/2022]
Abstract
INTRODUCTION In the era before Janus kinase (JAK) inhibitors, cytogenetic information was used to predict survival in myelofibrosis patients. However, the prognostic value of cytogenetics in the setting of JAK inhibitor therapy remains unknown. PATIENTS AND METHODS We performed a retrospective analysis of 180 patients with bone marrow biopsy-proven myelofibrosis from 3 US academic medical centers. We fit Cox proportional hazards models for overall survival and transformation-free survival on the bases of 3 factors: JAK inhibitor therapy as a time-dependent covariate, dichotomized cytogenetic status (favorable vs. unfavorable), and statistical interaction between the two. The median follow-up time was 37.1 months. RESULTS Among patients treated with best available therapy, unfavorable cytogenetic status was associated with decreased survival (hazard ratio = 2.31; P = .025). At initiation of JAK inhibitor therapy, unfavorable cytogenetics was (nonsignificantly) associated with increased survival compared to favorable cytogenetics (hazard ratio = 0.292; P = .172). The ratio of hazard ratios was 0.126 (P = .034). These findings were similar after adjusting for standard clinical prognostic factors as well as when measured against transformation-free survival. CONCLUSION The initiation of JAK inhibitor therapy appears to change the association between cytogenetics and overall survival. There was little difference in survival between treatment types in patients with favorable cytogenetics. However, the use of JAK inhibitor therapy among patients with unfavorable cytogenetics was not associated with worse survival compared to favorable cytogenetics. Our analyses suggest that initiation of JAK inhibitor therapy nullifies the negative prognostic implication of unfavorable cytogenetics established in the pre-JAK inhibitor therapy era.
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Bartoszko J, Panzarella T, McNamara CJ, Lau A, Schimmer AD, Schuh AC, Sibai H, Maze D, Yee KWL, Devlin R, Gupta V. Distribution and Impact of Comorbidities on Survival and Leukemic Transformation in Myeloproliferative Neoplasm-Associated Myelofibrosis: A Retrospective Cohort Study. Clin Lymphoma Myeloma Leuk 2017; 17:774-781. [PMID: 28711573 DOI: 10.1016/j.clml.2017.06.031] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Accepted: 06/15/2017] [Indexed: 10/19/2022]
Abstract
BACKGROUND We sought to describe the distribution and impact of comorbidities on outcomes in patients with myelofibrosis, a disease characterized by aberrant bone marrow function with eventual fibrosis. Comorbidities were scored using the Adult Comorbidity Evaluation-27 (ACE-27) and the Hematopoietic Cell Transplant Comorbidity Index (HCT-CI), in which a score ≥ 3 indicates severe comorbidities. PATIENTS AND METHODS We conducted a retrospective study of 306 patients with a confirmed diagnosis of myelofibrosis. Patients were seen from 1999 to 2014 with a median follow-up of 2 years. Multivariable Cox proportional hazards models were constructed to assess the impact of comorbidities on overall survival and leukemic transformation from the date of presentation to our center. A series of descriptive analyses were performed examining the distribution of comorbidities captured by the scales. RESULTS On multivariable survival analysis, an ACE-27 score of 3 was associated with an almost twofold increase in the risk of all-cause death (hazard ratio [HR] 1.95; 95% confidence interval [CI], 1.06-3.58; P = .03) compared with a lower score of 0 to 1. An HCT-CI score ≥ 3 was marginally significantly associated with an increased risk of all-cause death (HR 1.60; 95% CI 0.96-2.68; P = .07). ACE-27 captured a greater spectrum of cardiovascular and venous thrombotic disease. No impact of comorbidities on leukemic transformation was observed. CONCLUSIONS Although the presence of severe comorbidities was lower when assessed by ACE-27 (13%) compared with HCT-CI (23%), and the spectrums of comorbidities captured were different, the overall impact of severe comorbidities as assessed by both scales appears to be similar and associated with a survival disadvantage.
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Affiliation(s)
- Justyna Bartoszko
- Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Tony Panzarella
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Caroline Jane McNamara
- Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Anthea Lau
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Aaron D Schimmer
- Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Andre C Schuh
- Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Hassan Sibai
- Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Dawn Maze
- Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Karen W L Yee
- Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Rebecca Devlin
- Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Vikas Gupta
- Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada.
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