A Retrospective Head-to-Head Comparison between Pacritinib and Ruxolitinib in Patients with Myelofibrosis and Moderate to Severe Thrombocytopenia
Notice bibliographique
Résumé
Abstract Introduction: Pacritinib is a JAK2/IRAK1 inhibitor in development for patients with myelofibrosis who have thrombocytopenia. While lower doses of the approved JAK1/2 inhibitor ruxolitinib have been commonly used for the treatment of patients with thrombocytopenia, there is no dosing guidance in the package insert for patients with platelet counts (PLTs) <50 x10 9/L. The starting dose of ruxolitinib in patients with PLTs 50-100 x10 9/L is markedly reduced, which may limit efficacy. Pacritinib, in contrast, was studied without dose attenuation in thrombocytopenic patients (PLTs ≤100 x10 9/L) in the randomized Phase 3 PERSIST-2 study, which showed superior efficacy for pacritinib compared to best available therapy (BAT) based on spleen volume reduction (SVR) and modified total symptom score (TSS) response [Palmer J et al. In submission: ASH abstract 2021]. While many patients in the BAT arm (45%) received ruxolitinib, a comparison between pacritinib and ruxolitinib has not been performed. Here, we conducted a retrospective head-to-head comparison of pacritinib versus ruxolitinib in "first line" (ruxolitinib-naïve) patients treated on PERSIST-2. Methods: PERSIST-2 randomized patients 1:1:1 to pacritinib 200mg BID, pacritinib 400mg QD, or BAT. This analysis focuses on the 200mg BID dose, as 400mg QD is no longer in development, and is restricted to the subgroup of ruxolitinib-naïve patients in PERSIST-2. Patients who received ruxolitinib as BAT prior to week 24 were included; per protocol, ruxolitinib dosing was based on the package insert. Efficacy analyses included the percentage of patients who achieved ≥35% spleen volume reduction (SVR) or ≥50% modified TSS response. Safety analyses were based on all treated patients; efficacy analyses were based on the intention-to-treat population randomized at least 22 weeks prior to study end. The Fisher Exact test was used to describe differences in response rates. Logistic regression was used to adjust for differences in baseline characteristics. Results: Safety analysis included 57 patients on pacritinib 200mg BID and 12 on ruxolitinib; efficacy analysis included 43 on pacritinib and 9 on ruxolitinib. Baseline characteristics were generally similar between the pacritinib and ruxolitinib groups: median age (67 vs. 72), platelet count (51 vs. 49´10 9/L), hemoglobin (9.7 vs. 10g/L), percentage receiving red cell transfusions (37% vs. 33%), and percentage DIPSS high-risk (21% vs. 25%). Differences were noted in the percentage of patients with ≥1% peripheral blasts (30% vs. 75%) and with primary MF (75% vs. 58%). Most patients treated with pacritinib were able to maintain full doses over time. By contrast, patients on ruxolitinib received a median starting dose of 10mg daily (inter-quartile range [IQR]: 10, 10mg] at baseline, 10mg daily at week 12 [IQR: 0, 10mg], and 10mg daily at week 24 [IQR: 0, 20] (Figure 1). Patients treated with pacritinib had numerically higher rates of SVR (28% vs. 11%) and modified TSS response (37% vs. 11%). The hazard ratio for overall survival for pacritinib vs. ruxolitinib was 0.49 [95% CI: 0.13-1.92]. There was no diminution of treatment effect observed for SVR, TSS, or survival after adjusting for baseline age, DIPSS risk, platelet count, and primary vs. secondary MF. Nearly all patients on pacritinib and ruxolitinib experienced AEs (93% vs. 100%). The most frequent AE was diarrhea, mainly grade 1-2, which occurred more on pacritinib versus ruxolitinib (47% vs. 8%). Cytopenias with full-dose pacritinib occurred at similar rates as with low-dose ruxolitinib (thrombocytopenia: 33% vs. 33%; anemia: 30% vs. 25%). Hemorrhagic events occurred at similar rates on pacritinib and ruxolitinib (all grade: 44% vs. 58%; grade ≥3: 19% vs. 17%). Cardiac events occurred at similar rates on pacritinib and ruxolitinib (26% vs. 33%; grade ≥3: 5% vs. 17%). Infection of any grade occurred more frequently on pacritinib (47% vs. 33%), while grade ≥3 infections were less common (11% vs. 17%). Fatal AEs were more common with ruxolitinib (7% vs. 25%). Conclusion: Full-dose pacritinib yielded higher response rates and a similar safety profile to lower doses of ruxolitinib in "first-line" patients with MF who have moderate or severe thrombocytopenia. Figure 1 Figure 1. Disclosures Mascarenhas: Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Geron: Consultancy, Research Funding; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Promedior: Consultancy, Membership on an entity's Board of Directors or advisory committees; Prelude: Consultancy; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees; Geron: Consultancy; Merus: Research Funding; Genentech/Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees; Galecto: Consultancy; Kartos: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sierra Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene/BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Constellation: Consultancy, Membership on an entity's Board of Directors or advisory committees; PharmaEssentia: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Forbius: Research Funding; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; CTI Biopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Bose: BMS: Honoraria, Research Funding; NS Pharma: Research Funding; Celgene Corporation: Honoraria, Research Funding; CTI BioPharma: Honoraria, Research Funding; Astellas: Research Funding; Pfizer: Research Funding; Constellation Pharmaceuticals: Research Funding; Incyte Corporation: Honoraria, Research Funding; Sierra Oncology: Honoraria; Kartos Therapeutics: Honoraria, Research Funding; Novartis: Honoraria; Blueprint Medicines: Honoraria, Research Funding; Promedior: Research Funding. Kiladjian: Taiho Oncology, Inc.: Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees; PharmaEssentia: Other: Personal fees; Incyte Corporation: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees; AOP Orphan: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees. Mesa: CTI: Research Funding; Abbvie: Research Funding; Novartis: Consultancy; Incyte Corporation: Consultancy, Research Funding; Pharma: Consultancy; Constellation Pharmaceuticals: Consultancy, Research Funding; Genentech: Research Funding; Sierra Oncology: Consultancy, Research Funding; AOP: Consultancy; Gilead: Research Funding; Promedior: Research Funding; Samus: Research Funding; CTI: Research Funding; La Jolla Pharma: Consultancy; Celgene: Research Funding. Gerds: Novartis: Consultancy; PharmaEssentia Corporation: Consultancy; Constellation: Consultancy; CTI BioPharma: Research Funding; Sierra Oncology: Consultancy; AbbVie: Consultancy; Celgene/Bristol Myers Squibb: Consultancy. Gupta: BMS-Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy; Constellation Pharma: Consultancy, Honoraria; Incyte: Honoraria, Research Funding; AbbVie: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sierra Oncology: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy. Harrison: Gilead Sciences: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; CTI BioPharma: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Abbvie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Constellation Pharmaceuticals: Research Funding; Incyte Corporation: Speakers Bureau; Geron: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Keros: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Promedior: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sierra Oncology: Honoraria; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Shire: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Galacteo: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AOP Orphan Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Yacoub: Agio
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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».