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Enregistrement W4417021539 · doi:10.1182/blood-2025-3809

Impact of new or worsening anemia and thrombocytopenia on clinical outcomes in JAK inhibitor–naive myelofibrosis patients treated with ruxolitinib

2025· article· en· W4417021539 sur OpenAlexaff
Vikas Gupta, Francesca Palandri, Jean‐Jacques Kiladjian, Bethan Psaila, Bond Vo, Jessica Lim, Fulya Sen Nikitas, Shiyuan Zhang, Tom Liu, Catherine Ellis, Jasmine Sahni, Dwaipayan Patnaik, Stephen T. Oh, Ruben A. Mesa

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésRuxolitinibMyelofibrosisAnemiaPlateletPost-hoc analysisSpleenHemoglobinSubgroup analysis

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction Myelofibrosis (MF) is characterized by splenomegaly, constitutional symptoms, and cytopenias such as anemia and thrombocytopenia. Management of splenomegaly is often prioritized when treating MF. Ruxolitinib, a JAK inhibitor (JAKi), provides spleen and symptom benefits but is often associated with cytopenias. A SIMPLIFY-1 subgroup analysis in patients with hemoglobin (Hb) <10 g/dL showed that lower starting doses of ruxolitinib in those with baseline platelet counts <200×10⁹/L resulted in lower spleen volume reduction ≥35% (SVR35) response rates at week 24. SVR35 response rates were 49% for patients with platelet counts >200×10⁹/L, 24% for those with platelet counts 100 to 200×10⁹/L, and 0% for those with platelet counts 50 to <100×10⁹/L. This highlights the importance of full-dose JAKi therapy for optimal spleen response (Palandri F, et al. EHA 2025. Poster PS1829). This post hoc analysis of SIMPLIFY-1 (NCT01969838) evaluates the impacts of new or worsening (n/w) anemia and thrombocytopenia on spleen and symptom response and ruxolitinib dose reductions in JAKi-naive MF patients treated with ruxolitinib. Methods In the first analysis, patients treated with ruxolitinib were stratified by presence vs absence of baseline anemia (Hb <10 g/dL or transfusion dependent) and n/w anemia within 12 weeks of starting ruxolitinib (Hb decrease ≥1.5 g/dL and Hb <10 g/dL or new transfusion requirement of ≥2 units within 8 weeks at weeks 4, 8, or 12 after starting ruxolitinib). In a second analysis, patients treated with ruxolitinib were stratified by both baseline thrombocytopenia (platelet counts <200×10⁹/L) and n/w thrombocytopenia within 12 weeks of starting ruxolitinib (platelet count decrease >50×10⁹/L and platelet counts <200×10⁹/L). A third analysis evaluated outcomes in baseline anemic patients with baseline or n/w thrombocytopenia. Key outcomes included SVR35 at week 24, Total Symptom Score reduction ≥50% (TSS50) at week 24, and ruxolitinib dose modifications captured by week 12. Results A total of 216 patients (55% male) were included in the analysis. At baseline, 103 patients were anemic, with 84 (81.5%) developing n/w anemia within 12 weeks of starting ruxolitinib. Among the 113 nonanemic patients, 23 (20.4%) developed n/w anemia. Patients with n/w anemia had lower SVR35 response rates vs those without n/w anemia; the relative reduction in SVR35 response rate with n/w anemia was 21.4% for baseline nonanemic patients and 13.5% for baseline anemic patients. Similarly, TSS50 response rates were lower with n/w anemia vs without n/w anemia; the relative reduction in TSS50 response rate was 10.2% for baseline nonanemic patients and 20.4% for baseline anemic patients. Mean starting ruxolitinib daily doses were similar between groups: 32.1 mg for patients who later developed n/w anemia and 34.6 mg for those who did not. By week 12, patients with n/w anemia had greater mean reductions in ruxolitinib daily dose (3.7-mg reduction in baseline anemic patients; 5.2-mg reduction in baseline nonanemic patients) vs patients without n/w anemia (1.7-mg reduction in baseline anemic patients; 3.9-mg reduction in baseline nonanemic patients). Of the 216 patients, 86 (39.8%) had baseline thrombocytopenia. Patients with baseline thrombocytopenia had a 69% relative reduction in SVR35 response rates and a 24.4% relative reduction in TSS50 response rates. Of the 216 patients, 167 (77.3%) had n/w thrombocytopenia, with most platelet counts decreasing to <200×10⁹/L after 12 weeks of ruxolitinib treatment. Patients with baseline thrombocytopenia started on lower ruxolitinib doses vs those without baseline thrombocytopenia. Patients who developed n/w thrombocytopenia experienced additional dose reductions, averaging a 7-mg reduction over 12 weeks. Similar results were observed in patients with both thrombocytopenia and baseline anemia. Conclusions Reduced spleen and symptom response rates observed in patients with anemia or thrombocytopenia may be attributable to dose-limiting toxicities necessitating ruxolitinib dose reductions. These findings have implications for real-world practice, as managing ruxolitinib dose to balance spleen and symptom benefits vs worsening cytopenias is challenging. This underscores the need for careful, individualized management strategies, including exploring alternative therapies early in the course of treatment for patients with cytopenias and compromised therapeutic efficacy due to low ruxolitinib dose.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,032
Tête enseignante GPT0,356
Écart entre enseignants0,324 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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