Clinical Features Associated with Long-Term Ruxolitinib Exposure in Myelofibrosis and Predictive Role of Neutrophils
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».