MétaCan
Menu
Retour à la cohorte
Enregistrement W2904677338 · doi:10.1182/blood-2018-99-115362

PRM-151 in Myelofibrosis: Efficacy and Safety in an Open Label Extension Study

2018· article· en· W2904677338 sur OpenAlexaff
Srđan Verstovšek, Robert P. Hasserjian, Olga Pozdnyakova, Ivo Veletić, Ruben A. Mesa, Lynda Foltz, John Mascarenhas, Ellen K. Ritchie, Jeanne Palmer, Richard T. Silver, Marina Kremyanskaya, Bernt van den Blink, Gupta Rk, Taghi Manshouri, C. Cameron Yin, Zeev Estrov, Jason Gotlib

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensSt. Paul's HospitalUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMedicineMyelofibrosisRuxolitinibInternal medicineEssential thrombocythemiaBone marrowFibrosisSurgeryGastroenterologyPolycythemia vera

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: PRM-151, a recombinant human pentraxin-2 molecule, has been shown to prevent and reverse fibrosis in animal models of myelofibrosis (MF) by postulated targeting differentiation of fibrocytes (essential cells in fibrotic process) from monocytes. In the first stage of a two-stage trial, 27 patients (pts) with primary myelofibrosis (PMF), post-essential thrombocythemia/polycythemia vera (post-ET/PV) MF, and Grade 2 or 3 bone marrow fibrosis (BMF) received PRM-151 10 mg/kg IV ± ruxolitinib (RUX) for 6 cycles (24 weeks). A reduction in BMF, decrease in symptoms (MPN-SAF Total Symptom Score [TSS]), and a reduction of palpable splenomegaly were observed, along with a favorable safety profile. Pts experiencing clinical benefit were allowed to continue beyond 24 weeks in an open label extension (OLE) study. Here, we report interim efficacy and safety data for 18 pts enrolled in the OLE, who had been treated for up to 35 cycles (140 weeks). Methods: All pts in the OLE received a monthly infusion of PRM-151 10 mg/kg IV. Pts receiving PRM-151 alone or in combination with RUX in the main study continued with their respective drugs. Safety and hematology parameters were assessed monthly, and MPN-SAF TSS Q3 months. BM biopsies were obtained at baseline, end of main study, and at physician discretion in the OLE. These were evaluated centrally by two independent, blinded hematopathologists for the degree of reticulin and collagen fibrosis. Immunostaining for fibrocytes was performed on available biopsies. The primary objective of the OLE was to assess safety and efficacy of long-term administration of PRM-151. Results: Of the 18 pts enrolled in the OLE, 9 received PRM-151 as single agent, and 9 in conjunction with RUX. Baseline characteristics included median age of 66 years (51-78); 8 pts were DIPSS Int-1, 9 Int-2, and 1 high-risk; 6 (33%) had Hgb < 100 g/L, 12 (67%) had PLT < 100 x 109/L; 7 (39%) had PLT <50 x 109/L; 8 pts had PMF, 10 had post-ET/PV MF; 13 pts (72%) had a palpable spleen, and 9 (50%) had Grade 3 BMF. Median time on study for these 18 pts was 30.9 months (15.9-47.2 months). All pts experienced at least 1 adverse event (AE), with 8 pts (44%) reporting a possible study drug-related AE. No unexpected AEs were observed, and no deaths were reported during the study period. The mean best percent change (by palpation) in spleen size from baseline was −37%, with a median percent reduction of −26.1% (Figure). The mean best percent improvement in MPN-SAF TSS was −54%, with a median percent reduction of TSS of −64%. Pts in the PRM-151 monotherapy group showed similar improvements in MPN-SAF TSS and splenomegaly as those receiving PRM-151 + RUX (Figure). Complete data on hematology parameters will be available at the time of presentation. Improvement in BM reticulin grade was observed in 5 of 7 pts (71%) with Grade 2 BMF at baseline, and in 4 of 9 pts (44%) with Grade 3 BMF at baseline. Of the pts with Grade 3 BMF at baseline, 2 of 9 pts (22%) had a 2-grade reduction (Table). In addition, 5 of 6 pts (83%) with Grade 2 collagen fibrosis at baseline had a 1-grade reduction, with 2 of 6 pts (33%) improving to Grade 0. Also, 2 of 7 pts (28%) with Grade 3 collagen fibrosis had a reduction of 1-grade with 1 of 7 (14%) improving to Grade 0 (Table). Eight of 18 pts had BM fibrocyte immunostaining done: mean fibrocyte count in the hematopoietic BM decreased from 378.0 ± 255.3 per mm2 (11.2 ± 7.7% of total cells) at study baseline to 81.3 ± 86.5 per mm2 (2.0 ± 2.1% of total cells; 7 of 8 pts evaluable) at cycle 25, with continuous reduction in fibrocyte numbers observed at interim. Over the same period, improvement in BM reticulin grade was detected in 4 of 7 pts (57%), and collagen fibrosis grade was decreased in 3 of 7 pts (43%). Conclusions: This long-term follow-up study of 18 pts with MF who received PRM-151 for a median of 31 months showed the drug to be well tolerated. An overall improvement in BM reticulin and collagen fibrosis grade, as well as reductions in MPN-SAF TSS and splenomegaly were observed. In a subset of pts for whom bone marrow fibrocyte immunostaining data were available, a mean reduction in fibrocyte counts was observed, as well as improved bone marrow reticulin and collagen fibrosis grade. These data warrant confirmation in a larger controlled study. Figure. Figure. Disclosures Verstovsek: Incyte: Consultancy; Italfarmaco: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees. Pozdnyakova:Promedior, Inc.: Consultancy. Mesa:Promedior: Research Funding; Incyte: Research Funding; Ariad: Consultancy; Novartis: Consultancy; Celgene: Research Funding; Galena: Consultancy; Gilead: Research Funding; CTI: Research Funding. Foltz:Incyte: Research Funding; Promedior: Research Funding; Gilead: Research Funding; Novartis: Consultancy, Honoraria, Research Funding. Mascarenhas:Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Merck: Research Funding; Roche: Research Funding; CTI Biopharma: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Promedior: Research Funding. Ritchie:Astellas Pharma: Research Funding; NS Pharma: Research Funding; Pfizer: Consultancy, Research Funding; Bristol-Myers Squibb: Research Funding; ARIAD Pharmaceuticals: Speakers Bureau; Novartis: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding, Speakers Bureau; Celgene: Consultancy, Other: Travel, Accommodations, Expenses, Speakers Bureau; Incyte: Consultancy, Speakers Bureau. Palmer:Novartis: Research Funding. Kremyanskaya:Incyte: Research Funding. van den Blink:Promedior, Inc.: Employment. Gupta:Promedior, Inc.: Employment. Gotlib:Deciphera: Consultancy, Honoraria, Research Funding; Incyte: Consultancy, Honoraria, Research Funding; Kartos: Consultancy; Promedior: Research Funding; Gilead: Consultancy, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Blueprint Medicines: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,035
Score d'incertitude au seuil0,512

Scores Codex et Gemma par catégorie

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

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 Opus0,054
Tête enseignante GPT0,356
Écart entre enseignants0,302 · 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 tête enseignante, 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

Citations48
Publié2018
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBloodMême sujetMyeloproliferative Neoplasms: Diagnosis and TreatmentTravaux en français237 207