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Efficacy, safety, and patient-reported outcomes of vimseltinib in patients with tenosynovial giant cell tumor: Results from the phase 3 MOTION trial.

2024· article· en· W4399605265 on OpenAlexaff
William D. Tap, Vivek A. Bhadri, Silvia Stacchiotti, Sebastian Bauer, Andrew J. Wagner, Michiel A. J. van de Sande, Nicholas M. Bernthal, Antonio López–Pousa, Albiruni Ryan Abdul Razak, Antoîne Italiano, Mahbubl Ahmed, Axel Le Cesne, Christopher Tait, Fiona Zarins, B. Harrow, Maitreyi G. Sharma, Rodrigo Ruiz‐Soto, Matthew L. Sherman, Jean‐Yves Blay, Hans Gelderblom

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal synovial abnormalities and treatments
Canadian institutionsPrincess Margaret Cancer Centre
FundersDeciphera Pharmaceuticals
KeywordsMedicineRange of motionOncologyInternal medicinePhysical therapyRadiologySurgery

Abstract

fetched live from OpenAlex

11500 Background: Tenosynovial giant cell tumor (TGCT) is a locally aggressive neoplasm caused by dysregulation of the colony-stimulating factor 1 ( CSF1) gene leading to overproduction of CSF1. TGCT requires a therapy with low toxicity as patients (pts) may need long-term treatment; there is an unmet need for an effective, well-tolerated CSF1 receptor (CSF1R)-targeted therapy that improves functional health and quality of life (QoL). Vimseltinib is an investigational, oral, switch-control tyrosine kinase inhibitor specifically designed to selectively and potently inhibit CSF1R. Here we report results from the MOTION trial. Methods: MOTION is a global, phase 3, double-blind study of vimseltinib in pts with symptomatic TGCT not amenable to surgery (NCT05059262). Randomization was 2:1 to vimseltinib 30 mg twice weekly or matching placebo (pbo) for 24 weeks. The primary endpoint was objective response rate (ORR) assessed by blinded independent radiological review (IRR) per Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST v1.1) at week 25. Key secondary endpoints assessed at week 25 were ORR by IRR per tumor volume score (TVS), change from baseline in active range of motion (ROM) of the affected joint and patient-reported outcomes (PROs; PRO Measurement Information System physical function score [PROMIS-PF], worst stiffness numeric rating scale, and EuroQol Visual Analog Scale [EQ-VAS]), and brief pain inventory worst pain response. Safety was also evaluated. Data cutoff was August 22, 2023. Results: Overall, 123 pts were randomized to vimseltinib (n = 83) or pbo (n = 40). Median age was 44 years, 59% of pts were female, and the most common primary disease location was the knee (67%). ORR at week 25 by IRR per RECIST v1.1 and per TVS were significantly higher for vimseltinib vs pbo (RECIST: 40% vs 0%, P < 0.0001; TVS: 67% vs 0%; P < 0.0001). Significant improvements from baseline to week 25 were observed with vimseltinib vs pbo in active ROM (18.4% vs 3.8%; P = 0.0077), physical function (PROMIS-PF: 3.3-point difference between arms, P = 0.0007), worst stiffness (−1.8-point difference, P < 0.0001), and health status (EQ-VAS: 7.4-point difference, P = 0.0155). There were also significantly more pain responders treated with vimseltinib (48% vs 23%; P = 0.0056). Most non-laboratory treatment-emergent adverse events were grade 1/2, and there was no evidence of cholestatic hepatotoxicity or drug-induced liver injury. Conclusions: Patients treated with vimseltinib experienced statistically significant and clinically meaningful improvements in ORR by RECIST v1.1 and by TVS, active ROM, physical function, stiffness, health status, and pain vs pbo. Vimseltinib is an effective, well-tolerated CSF1R-targeted therapy that demonstrates significant clinical benefit and improves functional health and QoL in pts with symptomatic TGCT not amenable to surgery. Clinical trial information: NCT05059262 .

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score0.327

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.001
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 head0.048
GPT teacher head0.395
Teacher spread0.346 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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