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A phase II study of cpi-0610, a bromodomain and extraterminal protein inhibitor (BETi) alone or with ruxolitinib (RUX), in patients with myelofibrosis (MF).

2019· article· en· W2956909849 on OpenAlexaff
Marina Kremyanskaya, Ronald Hoffman, John Mascarenhas, Prithviraj Bose, Vikas Gupta, Gary J. Schiller, Elena Liew, Claudia Lebedinsky, Adrian M. Senderowicz, Jennifer A. Mertz, Patrick Trojer, Srđan Verstovšek

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsUniversity of AlbertaPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineMyelofibrosisInternal medicineRuxolitinibAnemiaGastroenterologyOncologyBone marrow

Abstract

fetched live from OpenAlex

7056 Background: BETi have been shown to regulate NF-κB, MYC, BCL2, and TGF-β signaling, important drivers of marrow fibrosis. Preclinical studies have suggested that combined BETi and JAK2 inhibition synergistically reduce MF-related splenomegaly, bone marrow fibrosis and the malignant allele burden (Kleppe, 2018). CPI-0610 is a selective and potent oral BETi, being evaluated in the first study of a BETi in MF. Methods: Phase 2 trial with 3 arms: CPI-0610 monotherapy (Arm 1) or RUX + CPI-0610 “add-on” (Arm 2) in pts who have progressed/ had an inadequate response to RUX, or CPI-0610 + RUX in JAK inhibitor-naïve pts with anemia (Arm 3). Arms 1 and 2 are stratified: transfusion dependence (TD) yes: A/no: B. The primary objectives are to evaluate the effect of CPI-0610 on transfusion dependence (TD, 1A and 2A) and spleen volume (1B, 2B and 3). A Simon two-stage design: if 2 responses are seen will advance to the 2nd stage. Results: 4 pts enrolled in Arm 1, 14 pts in Arm 2, no pts accrued to Arm 3 yet. Median age: 69 years (46-83), gender: 9 male pts; 11 pts received ≥1 prior therapy besides RUX. JAK2/MPL/CALR mutations: 17/18 pts, ≥3 mutations: 10 pts, ASXL1 mutations: 11 (61%) pts. Hemoglobin <10 g/dL at baseline: 11 (61%) pts. 6 pts received ≥ 24 weeks of CPI-0610 treatment at this analysis. 2 TD pts in Arm 2 became transfusion independent, both remain on treatment free of transfusions. Hgb increase of ≥1.5 g/dL from baseline was observed with successive cycles of therapy in anemic pts: 2/2 pts in Arm 1 (100%) and 3/9 pts in Arm 2, (33%). Spleen volume reduction, by MRI (6-44%) was observed in all 10 evaluable pts irrespective of their driver mutation. Symptom improvement and reductions of cytokine levels were observed. In Arm 1: 2/2 evaluable pts had marrow fibrosis improvement with Hgb increase; additionally, thrombocytosis resolved in 2/2 pts (baseline ≥791 103/uL). Most common adverse events were mild diarrhea, nausea/vomiting; and reversible and non-cumulative thrombocytopenia. Conclusions: CPI-0610 is a well-tolerated, and an effective therapeutic agent for the treatment of MF. Collectively, these data indicate that CPI-0610 +/- RUX might have disease modifying effects. Updated data will be provided. Clinical trial information: NCT02158858.

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 score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.002

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 head0.053
GPT teacher head0.405
Teacher spread0.352 · 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".

Quick stats

Citations8
Published2019
Admission routes1
Has abstractyes

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