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Record W4417009527 · doi:10.1182/blood-2025-4079

Trial in progress: QUINTESSENTIAL—a phase 2 study of arlocabtagene autoleucel (arlo-cel) in patients with relapsed/refractory multiple myeloma (RRMM)

2025· article· en· W4417009527 on OpenAlexaffabout
Ciara Louise Freeman, Sarah Larson, Omar Nadeem, Nikhil C. Munshi, Shinsuke Iida, Sham Mailankody, Paola Neri, Tara Gregory, Julia Piasecki, Safiyyah Ziyad, Hongxiang Hu, Svenja Groeneveld, Sarah Johnston, Timothy Pulham, Sandy W. Wong, Jaclyn Davis, Susan Bal, Anupama Kumar, Krina K. Patel

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsInstitute of Cancer ResearchJuravinski Cancer Centre
Fundersnot available
KeywordsMultiple myelomaChimeric antigen receptorClinical trialPhases of clinical researchCarfilzomibBortezomibAntigenOverall survival

Abstract

fetched live from OpenAlex

Abstract Background and Significance Limited treatment options exist for patients (pts) with RRMM who have been exposed to 3 or more drug classes, including immunomodulatory drugs (IMiD), anti-CD38 antibodies, proteasome inhibitors (PI), and B-cell maturation antigen (BCMA)-targeted therapy. To address this unmet need, new treatment options are needed for late-line populations, which will continue to grow with more quadruple-class exposed (QCEx) pts due to the approval of BCMA-targeted therapies in earlier lines. G protein-coupled receptor class C group 5 member D (GPRC5D) is an orphan receptor expressed on plasma cells, with limited expression elsewhere, making it a promising therapeutic target for MM. Data from a phase 1 first-in-human study (NCT04674813) suggested that arlo-cel, a GPRC5D-directed autologous chimeric antigen receptor (CAR) T-cell therapy, is safe and efficacious in pts with heavily pretreated RRMM, including pts who received prior BCMA-targeted therapy. Following a single infusion of arlo-cel (150×106 CAR T cells), overall response rate (ORR) was 91% (21/23), median progression-free survival (PFS) was 18.3 months, and median overall survival (OS) was not reached in those with ≥3 prior lines of therapy (pLOT) (Bal S et al. ASH 2024. Abstract 922). These outcomes from the phase 1 study support further development of arlo-cel in clinical trials. Study Design and Methods QUINTESSENTIAL (NCT06297226) is an open-label, multicenter, phase 2 study evaluating arlo-cel in pts with RRMM. For analyses, enrollment is planned at 175 pts. Key inclusion criteria were age ≥18 years, confirmed diagnosis of MM as per International Myeloma Working Group (IMWG) criteria, ≥3 classes of MM treatment (including IMiD, PI, and anti-CD38), and ≥3 pLOT. Pts must also have documented disease progression (PD) during or after the most recent regimen as per IMWG, measurable disease, and an ECOG performance status of 0 or 1. Pts who previously received a GPRC5D-targeted therapy are excluded. After screening, pts will undergo leukapheresis followed by bridging therapy. Pts will then receive lymphodepleting chemotherapy followed by a single infusion of arlo-cel. The primary endpoint is ORR by IMWG response criteria per an independent review committee in pts who are QCEx and received ≥4 pLOT. Key secondary endpoints are ORR and complete response rate in all pts. Other secondary and exploratory endpoints include time to response, duration of response, PFS, OS, minimal residual disease-negative status, and safety. Pts will be followed for ≤5 years after the last patient receives arlo-cel, with a subsequent long-term follow-up study continuing for ≤15 years. This is a trial in progress and will recruit at ~47 centers across the USA, Canada, and Japan. The first patient first visit was achieved on March 21, 2024.

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 score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.017
GPT teacher head0.316
Teacher spread0.300 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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