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Record W2986040087 · doi:10.1182/blood-2019-128211

Preliminary Report of MANIFEST, a Phase 2 Study of CPI-0610, a Bromodomain and Extraterminal Domain Inhibitor (BETi), in Combination with Ruxolitinib, in JAK Inhibitor (JAKi) Treatment Naïve Myelofibrosis Patients

2019· article· en· W2986040087 on OpenAlexaff
Claire Harrison, Andrea Patriarca, John Mascarenhas, Marina Kremyanskaya, Ronald Hoffman, Gary J. Schiller, Brian Leber, Timothy Devos, Sujan Kabir, Adrian M. Senderowicz, Jennifer A. Mertz, Patrick Trojer, James Shao, Vikas Gupta

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoMcMaster University
Fundersnot available
KeywordsRuxolitinibMedicineMyelofibrosisTofacitinibMyeloproliferative neoplasmJanus kinaseInternal medicineVenetoclaxCancer researchBone marrowLeukemiaCytokine

Abstract

fetched live from OpenAlex

Background: Ruxolitinib (rux), a Janus kinase 1/2 inhibitor (JAKi), is the only approved therapy for myelofibrosis (MF), a myeloproliferative neoplasm associated with bone marrow (BM) fibrosis. Rux reduces spleen volume (SVR35 in 30%-40% pts) and constitutional symptoms (≥50% in about 40% pts), two important hallmarks of MF; however, the improvement may be associated with significant cytopenia and rarely with evidence of disease modification. Synergistic therapeutic agents are needed for disease-modifying effects leading to overall improvement of MF, an unmet medical need. BET proteins are transcriptional regulators that control key oncogenic pathways, including NFκB, and TGFβ signaling, important drivers of inflammation and fibrosis, respectively, in MF. In preclinical MF models, the combination of a BETi and rux demonstrated synergistic reduction of splenomegaly, cytokine (Ck) expression, BM fibrosis and the mutant allele burden (Kleppe 2018). CPI-0610 is a selective and potent oral small molecule BETi with effects on megakaryocyte differentiation and Ck production in preclinical studies (unpublished data) and has shown antitumor activity and a wide therapeutic window in a Phase 1 lymphoma study (Blum KA, 2018). Preliminary clinical data from the Phase 2 MANIFEST study in prior JAKi treated MF pts showed that CPI-0610, as monotherapy (Arm 1) or "add on" to rux (Arm 2), was generally well-tolerated, with spleen volume reduction, symptom alleviation, hemoglobin improvement and reduction in transfusion burden as well as suppression in proinflammatory Ck and improvement in BM fibrosis (Kremyanskaya, 2019; Hoffman, 2019). Here, we present preliminary clinical data from Arm 3 in the MANIFEST study: JAKi naïve MF pts treated with CPI-0610 in combination with rux. Method: MANIFEST is a global, multicenter, open label Phase 2 study of CPI-0610 in combination with rux. Key eligibility criteria of Arm 3 include JAKi naïve MF pts with DIPSS score int-1 or higher, ECOG performance status ≤2, platelet counts ≥100 x 109/L, peripheral blood blast count <10%, anemia (hemoglobin < 10g/dL), ≥5 cm palpable spleen, ≥2 symptoms measurable (score ≥3) or a total symptom score (TSS) of ≥10 using the MFSAF v4.0. Primary endpoint: spleen volume response (SVR); key secondary endpoints: change in TSS, safety and PK; additional endpoints: changes in proinflammatory Ck levels, BM morphology and mutant allele burden. Results: As of 27 June 2019, total 11 pts have been treated, all pts remain on study, 4 pts on treatment for ≥ 4 cycles (≥ 12 weeks). Baseline median age: 71 years (52-76), gender: 8 male (72.7%), ECOG ≤1: 10 (90.9%) pts, primary MF: 8 (72.7%) pts, DIPSS score: int-1/int-2/high: 2/7/2 pts, median platelet: 368 x 109/L (112-951), 9 (81.8%) pts with hemoglobin <10 g/dL, median spleen volume: 1379 cc (580-2807), median TSS: 11.8 (4.1-17), driver mutations: 11 (100%) with ≥1 JAK2/MPL/CALR mutations, HMR (high molecular risk) mutations: 6 (56%) pts, and ≥3 mutations: 4 (36%) pts. All 4 (100%) pts on treatment for ≥ 12 weeks achieved ≥35% spleen volume reduction (median: -52.4%, [range -68.7%, -42.7%]) and all 4 pts (100%) achieved ≥50% improvement in TSS (median best change: -79.35% [range -90.2%, -70.1%]) (Fig. 1). Suppression of proinflammatory Ck, including IL-8, IL-18 and CRP, was also observed. Safety data from the first 6 patients who received treatment for at least 1 cycle were reviewed: no DLTs or grade ≥3 thrombocytopenia was observed. As of 27 June 2019, the most common treatment-emergent adverse events (TEAE) observed in ≥ 2 pts include anemia (1 grade 3), fatigue (all ≤ grade 2), and non-cumulative reversible thrombocytopenia (all ≤ grade 2). Conclusions: The combination of BETi CPI-0610 and JAKi rux was generally well-tolerated demonstrating that the safety of this combination is acceptable in JAKi naïve MF pts with anemia. Early clinical activity was observed with the combination: all 4 evaluable pts achieved both ≥35% SVR and ≥50% improvement in TSS as early as 3 months after treatment. Available data in JAKi naïve anemic MF pts, a population with poor prognosis, along-with additional information on reduction in pro-inflammatory Ck and BM fibrosis improvement in CPI-610 treated pts in rux refractory MF, collectively indicate that addition of CPI-0610 to rux may be synergistic and potentially have disease-modifying effects in JAKi naïve MF pts. Updated data will be presented. Disclosures Harrison: Incyte: Speakers Bureau; Novartis: Honoraria, Research Funding, Speakers Bureau; Shire: Speakers Bureau; Roche: Honoraria; Sierra Oncology: Honoraria; CTI: Speakers Bureau; Gilead: Speakers Bureau; Janssen: Speakers Bureau; Promedior: Honoraria; Celgene: Honoraria, Speakers Bureau; AOP: Honoraria. Mascarenhas:Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Roche: Consultancy, Research Funding; Merck: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; CTI Biopharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Research Funding; Promedior: Research Funding; Merus: Research Funding; Pharmaessentia: Consultancy, Membership on an entity's Board of Directors or advisory committees. Kremyanskaya:Incyte, Celgene, Constellation, Protagonist.: Research Funding; La Jolla: Consultancy. Hoffman:Merus: Research Funding. Schiller:Agios: Research Funding, Speakers Bureau; Genzyme: Research Funding; Astellas: Research Funding; Biomed Valley Discoveries: Research Funding; Bristol Myer Squibb: Research Funding; Celgene: Research Funding, Speakers Bureau; Constellation Pharmaceutical: Research Funding; Daiichi Sankyo: Research Funding; Eli Lilly and Company: Research Funding; FujiFilm: Research Funding; Gilead: Research Funding; Incyte: Research Funding; J&J: Research Funding; Jazz Pharmaceuticals: Honoraria, Research Funding; Karyopharm: Research Funding; Novartis: Research Funding; Onconova: Research Funding; Pfizer Pharmaceuticals: Equity Ownership, Research Funding; Sangamo Therapeutics: Research Funding; Amgen: Other, Research Funding. Leber:AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astellas: Honoraria, Membership on an entity's Board of Directors or advisory committees; Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Kabir:Constellation Pharmaceuticals: Employment. Senderowicz:Constellation Pharmaceuticals: Employment; Puma Biotechnology: Membership on an entity's Board of Directors or advisory committees. Mertz:Constellation Pharmaceuticals: Employment, Equity Ownership. Trojer:Constellation Pharmaceuticals: Employment, Equity Ownership. Shao:Constellation Pharmaceuticals: Employment. Gupta:Celgene: 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, Research Funding; Incyte: Honoraria, Research Funding; Sierra Oncology: Honoraria, Membership on an entity's Board of Directors or advisory committees.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.002

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 head0.011
GPT teacher head0.264
Teacher spread0.254 · 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 designNon-randomized trial
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".

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Citations25
Published2019
Admission routes1
Has abstractyes

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