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Record W3213815301 · doi:10.1182/blood-2021-154267

Clinical Features Associated with Long-Term Ruxolitinib Exposure in Myelofibrosis and Predictive Role of Neutrophils

2021· article· en· W3213815301 on OpenAlexaboutno aff
Lucia Masárová, Prithviraj Bose, Naveen Pemmaraju, Lingsha Zhou, Sherry Pierce, Zeev Estrov, Hagop M. Kantarjian, Srđan Verstovšek

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsRuxolitinibMyelofibrosisTerm (time)MedicineImmunologyInternal medicineBone marrow

Abstract

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Abstract Introduction: Ruxolitinib (RUX), has been the first approved JAK1/2 inhibitor in the USA for patients with advanced stage myelofibrosis (MF). Median duration of RUX therapy in the initial approval studies has been < 3 years, and about 30% of patients completed 5 years of treatment. Objective: We decided to characterize patients on long-term RUX therapy, e.g. ≥5 years. By comparing their disease features at therapy initiation to patients who received RUX for 6 months to ≤ 3 years, we evaluated factors associated with ≥5 years of therapy and overall survival (OS). Methods: We performed retrospective chart review of 276 consecutive patients with MF who presented to our institution with newly diagnosed disease, and during their follow-up received RUX for either 6 months to ≤ 3 years (RUX 6m-3y; n= 203) or for ≥5 years (RUX ≥5y; n=73). Both, primary MF (PMF) and post-essential thrombocythemia MF and post-polycythemia vera MF (PPV/PET-MF) patients were included. Responses to RUX (according to IWG-MRT criteria) included all defined responses expressed as one dichotomic variable. Fisher exact test and χ2 were used to compare clinical characteristics between groups at the time of RUX initiation. Overall survival from the time of RUX initiation was estimated by Kaplan-Meier method with log-rank test. Cox proportional hazard model was used for multivariate analysis of variables associated with RUX ≥5y and OS. Results: Median age of all patients was 65 years (range, 20-94), 62% were males. Major clinical differences between 203 patients with RUX 6m-3y and 73 patients with RUX ≥5y were that RUX ≥5y group had more females and more patients with PPV/PET-MF, and these patients had higher hemoglobin, platelets and neutrophils percentage, but lower white cells, monocytes and blasts (Table 1). No differences were noticed in age, symptoms, splenomegaly, distribution of abnormal karyotype or driver mutations (JAK2, MPL, CALR). Only 33% of patients had next generation sequencing for high-risk molecular mutations (ASXL1, IDH1/2, EZH2, U2AF1/SRSF2) at RUX initiation with non-significantly higher proportion in RUX 6m-3y (12% vs 35%, p = 0.06). There were more responders on RUX ≥5y (58, 79%) than on RUX 6m-3y (88, 43%), p < 0.001. At least 80% of patients from each group started on RUX at ≥15 mg twice daily. Multivariate analysis showed that achievement of response, having PET/PPV-MF, higher white cells, hemoglobin and neutrophil percentage, and lower peripheral blasts were associated with RUX ≥5y (Table 2A). Response achievement, longer RUX therapy, higher hemoglobin, neutrophils percentage, platelets, and lower age were associated with OS in the entire cohort (Table 2). Within the group of RUX ≥5y, the only predictor of OS was age (HR 1.09, 95% CI 1.16-1.42, p < 0.01). In those with RUX 6m-3y, factors associated with OS were age (HR 1.05, 1.03-1.08, p < 0.001), platelets ≥100 x 10 9 /L (HR 0.53, 95% CI 0.47-0.90, p = 0.02), neutrophils percentage (HR 0.98, 95% CI 0.97-0.99, p < 0.001) and achievement of response (HR 0.67, 95% CI 0.47-0.86, p = 0.03). Estimated OS from RUX start was 128 months (95% CI, 91-165) and 38 months (95% CI, 29-39) for RUX ≥5y and RUX 6m-3y, respectively (HR 3.95, 95% CI 2.59-6.01, p < 0.001). 8-year survival from RUX initiation was 76% and 18% for RUX ≥5y and RUX 6m-3y, respectively. Subsequent analysis performed separately for patients with PMF and PPV/PET-MF revealed that more differences between RUX ≥5y and RUX 6m-3y were noticed in PPV/PET-MF patients, whilst those with PMF only differed in blasts and neutrophils percentage (Table 1). The only clinical variables that were associated with RUX ≥5y and OS were age for PMF and PPV/PET-MF, neutrophil percentage for PMF and platelets for PPV/PET-MF, respectively Conclusion: Our results demonstrate that patients with "less cytopenic" MF and those with PET/PPV-MF can more often remain on RUX ≥ 5 years. Our findings highlight the role of neutrophils percentage as valuable predictive factor of long-term RUX benefit as well as longer survival from RUX initiation. We have also noticed that age at RUX start remained the only factor impacting survival of patients who were on RUX ≥ 5 years, whereas more clinical variables retained significance with shorter RUX exposure. Figure 1 Figure 1. Disclosures Bose: Incyte Corporation: Honoraria, Research Funding; Celgene Corporation: Honoraria, Research Funding; BMS: Honoraria, Research Funding; CTI BioPharma: Honoraria, Research Funding; Blueprint Medicines: Honoraria, Research Funding; Kartos Therapeutics: Honoraria, Research Funding; Sierra Oncology: Honoraria; Novartis: Honoraria; Constellation Pharmaceuticals: Research Funding; Pfizer: Research Funding; Astellas: Research Funding; NS Pharma: Research Funding; Promedior: Research Funding. Pemmaraju: Cellectis S.A. ADR: Other, Research Funding; Aptitude Health: Consultancy; Springer Science + Business Media: Other; MustangBio: Consultancy, Other; Plexxicon: Other, Research Funding; Affymetrix: Consultancy, Research Funding; Incyte: Consultancy; Abbvie Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Celgene Corporation: Consultancy; Stemline Therapeutics, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Dan's House of Hope: Membership on an entity's Board of Directors or advisory committees; Protagonist Therapeutics, Inc.: Consultancy; DAVA Oncology: Consultancy; Roche Diagnostics: Consultancy; Sager Strong Foundation: Other; Clearview Healthcare Partners: Consultancy; Daiichi Sankyo, Inc.: Other, Research Funding; Samus: Other, Research Funding; HemOnc Times/Oncology Times: Membership on an entity's Board of Directors or advisory committees; ASCO Leukemia Advisory Panel: Membership on an entity's Board of Directors or advisory committees; ASH Communications Committee: Membership on an entity's Board of Directors or advisory committees; CareDx, Inc.: Consultancy; LFB Biotechnologies: Consultancy; Novartis Pharmaceuticals: Consultancy, Other: Research Support, Research Funding; Blueprint Medicines: Consultancy; Bristol-Myers Squibb Co.: Consultancy; ImmunoGen, Inc: Consultancy; Pacylex Pharmaceuticals: Consultancy. Kantarjian: AbbVie: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Ascentage: Research Funding; BMS: Research Funding; Daiichi-Sankyo: Research Funding; Immunogen: Research Funding; Jazz: Research Funding; Novartis: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Aptitude Health: Honoraria; Astellas Health: Honoraria; Astra Zeneca: Honoraria; Ipsen Pharmaceuticals: Honoraria; KAHR Medical Ltd: Honoraria; NOVA Research: Honoraria; Precision Biosciences: Honoraria; Taiho Pharmaceutical Canada: Honoraria. Verstovsek: Celgene: Consultancy, Research Funding; CTI BioPharma: Research Funding; Genentech: Research Funding; Gilead: Research Funding; Incyte Corporation: Consultancy, Research Funding; Ital Pharma: Research Funding; NS Pharma: Research Funding; PharmaEssentia: Research Funding; Promedior: Research Funding; Protagonist Therapeutics: Research Funding; Roche: Research Funding; Sierra Oncology: Consultancy, Research Funding; Blueprint Medicines Corp: Research Funding; AstraZeneca: Research Funding; Novartis: Consultancy, Research Funding; Constellation: Consultancy; Pragmatist: Consultancy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.276
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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