MétaCan
Menu
← Back to cohort
Record W4405096023 · doi:10.1182/blood-2024-203181

Golseek-2: A Phase 2 Randomized, Open-Label Study to Evaluate the Efficacy and Safety of Golcadomide in Combination with Rituximab in Participants with Newly Diagnosed Advanced Stage Follicular Lymphoma

2024· article· en· W4405096023 on OpenAlexaff
José C. Villasboas, Pier Luigi Zinzani, Andrew Davies, Robert Kridel, Guilherme Fleury Perini, Parth Rao, Joanna Mikita-Geoffroy, Akshay Sudhindra, Charalambos Andreadis

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsRituximabFollicular lymphomaMedicineOpen labelOncologyInternal medicinePhases of clinical researchLymphomaRandomized controlled trialClinical trial

Abstract

fetched live from OpenAlex

Background and Significance When patients (pts) with follicular lymphoma (FL) present with a high tumor burden, they require systemic treatment with rituximab (R) in combination with chemotherapy (chemo). Given the known cumulative toxicities of chemotherapy and the older age of pts at the time of diagnosis, novel chemo-free treatment approaches are desired by pts as well as physicians. R-lenalidomide (R-Len), a chemo-free alternative to R-based chemoimmunotherapy, has recently been listed as a chemo-free option in the National Comprehensive Cancer Network® (NCCN) guidelines. Golcadomide (GOLCA) is a potential first-in-class oral cereblon E3 ligase modulator (CELMoD™) agent purposefully designed for the treatment of lymphoma. GOLCA co-opts cereblon to induce targeted degradation of the transcription factors Ikaros/Aiolos, inducing deep, rapid, and extensive tumor killing, independent of cell of origin, and enhanced immunostimulatory activity. Compared with immunomodulatory (IMiD) agents like lenalidomide, GOLCA more efficiently drives the cereblon complex to the closed active state resulting in more potent degradation (Watson ER et al, Science 2022), which is expected to translate into improved clinical benefit. In addition, the phase 1/2 study CC-99282-NHL-001 showed that GOLCA alone or in combination with R (GOLCA-R) was well tolerated and showed promising activity in pts with heavily pre-treated relapsed/refractory (R/R) FL, including in those with prior Len-based therapies and/or T cell-redirecting therapies (Chavez et al, EHA 2024). Based on this, GOLSEEK-2 (NCT06425302) is a randomized phase 2 trial assessing the efficacy and safety of GOLCA-R as a chemo-free option in pts with newly diagnosed advanced-stage FL. Study Design and Methods After a screening period of ≤ 5 weeks, approximately 90 pts with newly diagnosed advanced-stage FL will be randomized 1:1:1 between GOLCA plus rituximab at a dose of 0.2 mg or 0.4 mg once daily from day 1 to 14 every 28 days for 12 cycles or investigator's choice R-chemo (R-CHOP or R-bendamustine). R maintenance could be considered (as per pt and physician decision) for pts who achieve a partial response or better after completion of initial therapy for up to one year in GOLCA-R arms and up to one and a half years in the R-chemo arm. Pts with histologically confirmed diagnosis of grade 1, 2, 3a FL, or classic FL according to WHO classification would be eligible for the study. Other key inclusion criteria include no prior systemic treatment for FL, stage II-IV disease, the requirement for treatment as per investigator's judgment, and measurable disease as defined by Lugano 2014 criteria. Key exclusion criteria include other lymphoma subtypes, clinical evidence of transformed lymphoma, and documented or suspected central nervous system involvement. The primary endpoint is complete metabolic response (CMR) during the GOLCA plus rituximab combination treatment period, assessed by the investigator and based on Lugano 2014 Response Criteria. Secondary endpoints include progression-free survival, overall survival, overall response rate, duration of response, complete response rate at 30 months, CMR rate at 6 months and 12 months, and safety outcomes.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.002

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 head0.027
GPT teacher head0.339
Teacher spread0.313 · 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 designRandomized 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicLymphoma Diagnosis and Treatment→French-language works237,207→