MétaCan
Menu
Back to cohort
Record W3212466623 · doi:10.1182/blood-2021-146675

A Retrospective Head-to-Head Comparison between Pacritinib and Ruxolitinib in Patients with Myelofibrosis and Moderate to Severe Thrombocytopenia

2021· article· en· W3212466623 on OpenAlexaff
John Mascarenhas, Prithviraj Bose, Jean‐Jacques Kiladjian, Ruben A. Mesa, Aaron T. Gerds, Vikas Gupta, Claire Harrison, Abdulraheem Yacoub, Valentín García‐Gutiérrez, Alessandro M. Vannucchi, Christof Scheid, Patricia Vélez Tenza, Sarah Buckley, Karisse Roman‐Torres, Stephen T. Oh, Marta Sobas, David Lavie, Srđan Verstovšek

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsRuxolitinibMedicineMyelofibrosisDosingInternal medicineSurgeryGastroenterologyBone marrow

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.291
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicMyeloproliferative Neoplasms: Diagnosis and TreatmentFrench-language works237,207