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Record W2621746631 · doi:10.1002/hon.2437_3

INTERIM REPORT FROM A PHASE 2 MULTICENTER STUDY OF TAZEMETOSTAT, AN EZH2 INHIBITOR, IN PATIENTS WITH RELAPSED OR REFRACTORY B‐CELL NON‐HODGKIN LYMPHOMAS

2017· article· en· W2621746631 on OpenAlexaff
Franck Morschhauser, Gilles Salles, Pam McKay, Hervé Tilly, Anne Dorothée Schmitt, John F. Gerecitano, Peter Johnson, Steven Le Gouill, Michael Dickinson, Christophe Fruchart, Thierry Lamy, Aristeidis Chaidos, Wojciech Jurczak, Stephen Opat, John Radford, Pier Luigi Zinzani, Sarit Assouline, Guillaume Cartron, Alicia Clawson, N. Picazio, Scott Ribich, Stephen J. Blakemore, John Larus, Harry Miao, Peter Ho, Vincent Ribrag

Bibliographic record

VenueHematological Oncology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineTolerabilityInternal medicineOncologyClinical endpointInterim analysisIxazomibPhases of clinical researchAdverse effectEZH2Surrogate endpointPharmacologyRefractory (planetary science)Clinical trialLenalidomideMultiple myeloma

Abstract

fetched live from OpenAlex

Background: New treatments with novel mechanisms of action are needed for patients with relapsed/refractory (R/R) DLBCL and FL. Because tumor cells may depend on the histone methyltransferase EZH2 to perpetuate a less-differentiated state, and activating mutations may be oncogenic drivers, tazemetostat, a potent, selective EZH2 inhibitor was developed. Tazemetostat shows antitumor activity in preclinical models and in a phase 1 study in patients (pts) with mutated or wild-type (wt) EZH2 tumours. This open-label, multicentre phase 2 study enrolled pts with either mutated or wt EZH2 R/R DLBCL or FL to determine efficacy and safety in 6 separate cohorts. Methods: Tazemetostat 800 mg is administered po BID. Tumour tissue is analysed prospectively to guide cohort assignment based on EZH2 hot spot activating mutations (Y646X, A682G, A692V) using a cobas® EZH2 Mutation Test (Roche Molecular Systems, in development). A 62-gene panel is used to assess tissue DNA and circulating tumour DNA (ctDNA) for biomarkers of tazemetostat sensitivity. Key inclusion criteria include: ≥18 yrs old; ≥2 prior treatment regimens; measurable disease; and adequate organ function. The primary endpoint is overall response rate (ORR). Secondary endpoints include progression-free survival and safety/tolerability. Enrolment for monotherapy has been completed in 3 cohorts with wt EZH2 and is ongoing in 2 cohorts of mutant EZH2. Enrolment for a tazemetostat combination with prednisolone in wt EZH2 DLBCL was recently initiated. Results: As of Feb. 28, 2017, interim safety data are summarized from 165 DLBCL or FL pts with documented tazemetostat dosing. Grade ≥ 3 treatment-emergent adverse events related to tazemetostat were reported in 18% of pts. The most common (>10%) adverse events across all grades were: nausea; thrombocytopenia; cough; diarrhoea; fatigue; and asthenia. Interim efficacy results are summarized from 149 pts (median: 3 prior therapies) and exclude ongoing pts who lack an on-study tumor assessment. The ORR (CR + PR) was 40% in pts with DLBCL with EZH2 mutations (N = 10), 18% in pts with DLBCL with wt EZH2 (N = 85), 63% in FL pts with EZH2 mutations (N = 8), and 28% in FL pts with wt EZH2 (N = 46). In the cohorts of EZH2 mutant FL and EZH2 wt FL, 38% and 30% of pts, respectively, remained on study with stable disease. Safety and efficacy data will be further updated at the conference. The genetic analysis of tumor biomarkers will be reported separately. Conclusion: This phase 2 interim assessment shows preliminary clinical activity of tazemetostat with a favourable safety profile in pts with R/R DLBCL and FL, with preferential benefit in pts whose tumours bear activating EZH2 mutations. Pts continue to be followed for tazemetostat treatment outcomes in light of previously reported observations that the onset of clinical response may be delayed and evolve over time from SD to PR and from PR to CR. Keywords: diffuse large B-cell lymphoma (DLBCL); EZH2; follicular lymphoma (FL).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.352
Teacher spread0.321 · 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 teacher head, 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

Citations60
Published2017
Admission routes1
Has abstractyes

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