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Record W3214477505 · doi:10.1182/blood-2021-152225

TAK-981, a First-in-Class SUMO-Activating Enzyme Inhibitor, Combined with Rituximab in Adult Patients (Pts) with CD20-Positive Relapsed/Refractory (R/R) Non-Hodgkin Lymphoma (NHL): Phase 1 Data

2021· article· en· W3214477505 on OpenAlexaffabout
Sarit Assouline, Amitkumar Mehta, Tycel Phillips, Lapo Alinari, Alexey V. Danilov, Stéphane Doucet, Steven I. Park, Deborah Berg, Alejandro Gómez-Pinillos, Alonzo Martinez, Bo H. Chao, Allison Berger, John F. Gibbs, Sharon Friedlander, Christine K. Ward, Igor Proscurshim, Brenda Cooper, Paolo F. Caimi

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsCentre Hospitalier de l’Université de MontréalJewish General Hospital
Fundersnot available
KeywordsRituximabCD20Refractory (planetary science)LymphomaMedicineHodgkin lymphomaInternal medicineCancer researchOncologyBiology

Abstract

fetched live from OpenAlex

Abstract Background: TAK-981 is the first small-molecule inhibitor of SUMOylation to enter clinical trials. SUMOylation is a post-translational modification in which small ubiquitin-like modifier (SUMO) proteins are activated and covalently attached to substrate proteins. SUMOylation has a central role in constraining type I interferon (IFN-I)-dependent responses (Decque Nat Immunol 2016). By blocking SUMOylation, TAK-981 promotes IFN-I production and increases innate immunity. The ability of TAK-981 to promote activation of macrophages and NK cells and increase their cytotoxic/phagocytic activity provides a mechanistic rationale for its use in combination with monoclonal antibodies (mAbs) reliant on antibody-dependent cellular cytotoxicity and phagocytosis. Preclinical studies have demonstrated synergistic antitumor activity between TAK-981 and the anti-CD20 monoclonal antibody rituximab in xenograft models of human B cell lymphoma (Nakamura AACR 2019). Based on these data, and a single-agent TAK-981 study (TAK-981-1002), this phase 1b/2, open-label, dose-escalation and expansion study is investigating the safety and efficacy of TAK-981 plus rituximab in adults with CD20-positive R/R NHL (NCT04074330); here, we report data from the phase 1b dose-escalation part of the study. Methods: Eligible pts were aged ≥18 years with CD20-positive, R/R aggressive B-cell NHL (aNHL) or indolent NHL (iNHL). aNHL included diffuse large B-cell lymphoma (DLBCL), mantle cell lymphoma (MCL), and grade 3b follicular lymphoma (FL); iNHL included grade 1-3a FL and marginal zone lymphoma. aNHL pts had to have received prior R-CHOP or equivalent plus 1 additional line of therapy in the R/R setting; iNHL pts had to be refractory to rituximab or another anti-CD20 mAb, and to have received at least 1 prior therapy for R/R disease. TAK-981 IV was given at increasing doses (starting: 10 mg) on days 1 and 8 (QW) or days 1, 4, 8, and 11 (BIW) of 21-day cycles. Rituximab 375 mg/m 2 IV was given on days 1, 8, and 15 of cycle 1 and on day 1 thereafter. Dose escalation was based on adaptive Bayesian logistic regression modelling with overdose control based on the posterior probability of having a dose-limiting toxicity (DLT). Primary phase 1b objectives were safety, tolerability, and recommended phase 2 dose (RP2D) of TAK-981 in combination with rituximab; data cutoff was 28 June 2021. Results: 24 pts have been enrolled and treated: 19 QW (10-120 mg) and 5 BIW (90 mg); 4 are currently on treatment. Enrollment continues in the 90 mg BIW and 120 mg QW cohorts. Median age was 65 years (range 29-80); 67% were male. No DLTs have been reported to date. RP2D and schedule will be determined based on safety, pharmacokinetic (PK), and pharmacodynamic (PD) data. Treatment-emergent adverse events (TEAEs) are shown in the Table. Most common TEAEs (≥15%) were similar between the QW/BIW schedules with the exception of dizziness (2 pts at 10 mg, 2 at 40 mg, and 1 at 90 mg) and hypokalemia (1 pt at 40 mg, 2 at 90 mg, and 1 at 120 mg); all QW. TEAEs were consistent with induction of IFN signalling (transient flu-like symptoms: fever, chills, fatigue) and with those observed in the single-agent study (data on file); no further TAK-981- or immune-related TEAEs were observed. Grade ≥3 TEAEs related to TAK-981 were reported in 2 pts: grade 3 atrial fibrillation (ongoing cardiac history) and grade 4 neutropenia; both in the 40 mg QW cohort and transient. In this population of rituximab-refractory pts, there were 5 objective responses in 17 response-evaluable pts: 4 partial responses (2 at 10 mg, FL and DLBCL; 1 at 60 mg, DLBCL; 1 at 90 mg, primary mediastinal thymic large B-cell lymphoma) and 1 complete response (40 mg, MCL), all in the QW cohort. TAK-981 PK was linear and declined in a tri-phasic manner. TAK-981 exhibited PD activity in peripheral blood including target engagement, decreased SUMOylation, and increased IFN-regulated gene expression (Figure). Conclusion: The combination of TAK-981 and rituximab was well tolerated in pts across each dose level and schedule. TAK-981 PK showed minimal accumulation after repeat dosing and PD assays confirmed inhibition of SUMOylation and activation of IFN-I signalling. More importantly, the combination of TAK-981 and rituximab resulted in promising clinical activity (ORR 29%) in the R/R setting, supporting the continued development of this combination in pts with NHL. Figure 1 Figure 1. Disclosures Assouline: Johnson&Johnson: Current equity holder in publicly-traded company; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria, Research Funding, Speakers Bureau; AstraZeneca: Consultancy, Honoraria; BeiGene: Consultancy, Honoraria, Research Funding; Takeda: Research Funding; Roche/Genentech: Research Funding; Eli Lilly: Research Funding; Novartis: Honoraria, Research Funding; Amgen: Current equity holder in publicly-traded company, Research Funding; Gilead: Speakers Bureau; Jewish General Hospital, Montreal, Quebec: Current Employment. Mehta: Affirmed; Kite/Gilead; Roche-Genetech; Celgene/BMS; Oncotartis; Innate Pharmaceuticals; Seattle Genetics; Incyte; Takeda; Fortyseven Inc/Gilead; TG Therapeutics; Merck; Juno Pharmaceuticals/Bristol Myers Squibb: Research Funding; Seattle Genetics; Incyte; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Seattle Genetics; Incyte; TG Therapeutics: Consultancy. Phillips: Bayer: Consultancy, Research Funding; ADCT, BeiGene, Bristol Myers Squibb, Cardinal Health, Incyte, Karyopharm, Morphosys, Pharmacyclics, Seattle Genetics: Consultancy; AstraZeneca: Consultancy; AbbVie: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Genentech: Membership on an entity's Board of Directors or advisory committees, Research Funding; Incyte: Consultancy, Other: received travel expenses from Incyte, Research Funding. Danilov: Rigel Pharm: Honoraria; Bristol-Meyers-Squibb: Honoraria, Research Funding; Gilead Sciences: Research Funding; Pharmacyclics: Consultancy, Honoraria; Beigene: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; TG Therapeutics: Consultancy, Research Funding; Takeda Oncology: Research Funding; Genentech: Consultancy, Honoraria, Research Funding; Astra Zeneca: Consultancy, Honoraria, Research Funding; SecuraBio: Research Funding; Bayer Oncology: Consultancy, Honoraria, Research Funding. Doucet: Amgen: Consultancy; Novartis: Consultancy; Astra-Zeneca: Consultancy; BMS: Consultancy; Jannsen: Consultancy; Servier: Consultancy; Abbvie: Consultancy; Seattle Genetics: Consultancy; Roche: Consultancy; Gilead: Consultancy. Park: Morphosys: Membership on an entity's Board of Directors or advisory committees; G1 Therapeutics: Consultancy; Gilead: Speakers Bureau; Takeda: Research Funding; Rafael Pharma: Membership on an entity's Board of Directors or advisory committees, Other: Advisory Board; Seattle Genetics: Research Funding, Speakers Bureau; BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding; Teva: Consultancy, Membership on an entity's Board of Directors or advisory committees. Berg: Takeda: Current Employment, Current equity holder in publicly-traded company, Current holder of stock options in a privately-held company. Gomez-Pinillos: Takeda: Current Employment. Martinez: Takeda: Current Employment. Chao: Takeda: Current Employment. Berger: Takeda Development Center Americas, Inc.: Current Employment. Gibbs: Takeda: Current Employment. Friedlander: Takeda: Current Employment. Ward: Takeda: Current Employment. Proscurshim: Takeda Pharmaceuticals: Current Employment, Current holder of individual stocks in a privately-held company. Caimi: TG Therapeutics: Consultancy; Kite: Consultancy; ADC Therapeutics: Consultancy; Verastem: Consultancy; Amgen: Consultancy; XaTek Inc.: Patents & Royalties; Celgene: Speakers Bureau.

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)0.001
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.232
Teacher spread0.222 · 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

Citations10
Published2021
Admission routes2
Has abstractyes

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