Spleen and Symptom Responses with Fedratinib (FEDR) in Patients with Myelofibrosis (MF) and Substantial Splenomegaly
Notice bibliographique
Résumé
Abstract Background: Splenomegaly is a marker of disease progression in MF; larger spleen size (SS) is correlated with poorer survival and debilitating MF symptoms. In a retrospective real-world study of 408 patients (pts) with MF treated with ruxolitinib (RUX), pts with SS ≥ 10 cm below the left costal margin (LCM) were significantly less likely to attain a spleen response than pts with SS < 10 cm (Palandri 2017); this finding has not been reported in clinical trials of RUX. FEDR is a JAK2-selective inhibitor approved in the US, EU, Canada, and elsewhere as first-line (1L) MF treatment (Tx) and in pts previously treated with RUX. FEDR was evaluated as 1L MF Tx in the phase 3, placebo (PBO)-controlled JAKARTA trial, and in the phase 2, single-arm JAKARTA2 trial in pts previously treated with RUX. Pts allocated to FEDR 400 mg/day (d) in these trials reported substantial reductions from baseline (BL) in spleen volume and MF symptom severity after 6 FEDR Tx cycles. It is important to determine whether spleen volume and symptom improvements during FEDR Tx are influenced by degree of pre-Tx splenomegaly. Objective: Investigate the clinical efficacy of FEDR 400 mg/d in pts in JAKARTA & JAKARTA2 with large spleens at BL. Methods: The JAKARTA trial assessed FEDR 400 mg/d, FEDR 500 mg/d, and placebo in pts with JAK-inhibitor-naïve MF, and the JAKARTA2 trial evaluated FEDR 400 mg/d (starting dose) in pts resistant/intolerant to prior RUX. Both studies enrolled pts with intermediate- or high-risk MF, SS > 5 cm from LCM by palpation, platelets ≥ 50 ×10 9/L, and ECOG PS ≤ 2. These analyses include pts in each trial allocated to receive FEDR 400 mg/d in continuous 28d Tx cycles. Too few pts had BL SS < 10 cm by palpation in JAKARTA (n = 21) and JAKARTA2 (n = 12) for meaningful comparison vs SS ≥ 10 cm. Thus, in these post hoc analyses we divided pts according to the median SS (mSS) at BL in each study , and assessed changes from BL in spleen volume and MFSAF total symptom score (TSS) at the end of cycle 6 (EOC6). Spleen volume was assessed by MRI/CT scan; MFSAF TSS was the sum of 6 MF symptom scores: night sweats, early satiety, pruritus, pain under ribs-left side, abdominal discomfort, and bone/muscle pain. Pts must have had spleen volume and/or TSS data at BL and EOC6. R esults: In JAKARTA, 96 pts were randomized to FEDR 400 mg/d; mSS at BL for all pts was 16 cm (range 5-40). Median (range) BL spleen volume was 1771 (316-3396) mL in the < mSS cohort and 3329 (983-6430) mL in the ≥ mSS cohort; median TSS was 13.0 and 17.6, respectively. Spleen volume data were available at BL and EOC6 for 37 (82%) and 38 (75%) pts in the < mSS and ≥ mSS cohorts, respectively. Median spleen volume reduction (SVR) at EOC6 was -38% [95%CI -43%, -31%] in the < mSS group and -40% [-40%, -28%] in the ≥ mSS group (Figure). Changes in MF symptom scores at EOC6 were similar in the < mSS (n = 37) and ≥ mSS (n = 34) cohorts, with median TSS reductions of -49% and -51%, respectively. For individual symptoms, median reductions in abdominal discomfort, bone/muscle pain, and early satiety were similar between BL SS cohorts, whereas changes were greater in the < mSS group for pruritus and pain under ribs-left side, and greater in the ≥ mSS group for night sweats. In JAKARTA2, 97 pts received FEDR 400 mg/d (starting dose); BL mSS for all pts was 18 cm (range 5-36). Median (range) BL spleen volumes were 1937 (737-4305) and 4002 (1821-7815) mL for pts with < mSS and ≥ mSS, respectively; and BL TSS was 17.2 (0.7-48.0) and 23.6 (1.0-44.0). Spleen volume and MFSAF TSS data were available at BL and EOC6 for 41 and 29 pts, respectively, in the < mSS cohort, and for 41 and 22 pts in the ≥ mSS group. At EOC6, median SVR from BL was -35% [95%CI -40%, -29%] for pts with < mSS at BL and -30% [-37%, -17%] for pts with ≥ mSS (Figure). Median TSS changes were -36% and -49% in the < mSS and ≥ mSS cohorts, respectively; pts with ≥ mSS at BL had similar or greater reductions from BL in 5/6 MFSAF symptoms (all except pruritus) vs those with < mSS. Conclusions: These analyses demonstrate that extent of splenomegaly at BL in JAKARTA and JAKARTA2 did not influence the likelihood of achieving improvements in spleen volume or MF symptom severity for pts receiving FEDR 400 mg/d as 1L MF Tx or as post-RUX salvage Tx. For pts who completed 6 FEDR Tx cycles, reductions in spleen volume and TSS at EOC6 in the ≥ mSS cohorts in both studies were similar to those in the < mSS cohorts, even though BL spleen volumes and TSS were higher in the ≥ mSS groups. Figure 1 Figure 1. Disclosures Kiladjian: 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; Novartis: Membership on an entity's Board of Directors or advisory committees; Taiho Oncology, Inc.: Research Funding; PharmaEssentia: Other: Personal fees; 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. Passamonti: BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; AbbVie: Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Vannucchi: BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees. Talpaz: Imago: Consultancy; Celgene: Consultancy; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Constellation: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Other: Grant/research support . Cervantes: Bristol Myers Squibb: Consultancy, Honoraria. Harrison: Roche: 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; Constellation Pharmaceuticals: Research Funding; Shire: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead Sciences: 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; CTI BioPharma: 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; Incyte Corporation: Speakers Bureau; Sierra Oncology: Honoraria; Promedior: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: 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; Galacteo: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Geron: 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; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Mesa: AOP: Consultancy; La Jolla Pharma: Consultancy; Sierra Oncology: Consultancy, Research Funding; Incyte Corporation: Consultancy, Research Funding; Genentech: Research Funding; Samus: Research Funding; CTI: Research Funding; Celgene: Research Funding; Abbvie: Research Funding; Constellation Pharmaceuticals: Consultancy, Research Funding; Novartis: Consultancy; Gilead: Research Funding; CTI: Research Funding; Pharma: Consultancy; Promedior: Research Funding. Mascarenhas: Geron: Consultancy; Merus: Research Funding; Geron: Consultancy, Research Funding; Merck: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Constellation: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; 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; Prelude: Consultancy; Galecto: Consultancy; Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Incyte: 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; Forbius: Research Funding; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees; Promedio
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».