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Enregistrement W4416088080 · doi:10.1136/jitc-2025-sitc2025.0599

599 The MATRiX trial: a multicenter, randomized, phase II study of ATR inhibition (via tuvusertib) with or without avelumab in patients with advanced anti-PD-(L)1-refractory merkel cell carcinoma

2025· article· W4416088080 sur OpenAlexaff
Rashmi Bhakuni, Evan Hall, George Ansstas, Shailender Bhatia, Andrew S. Brohl, Melissa Burgess, Sunandana Chandra, Maya Dimitrova, Ling Gao, Jeffrey J. Ishizuka, Gino K. In, Evan J. Lipson, Jose Lutzky, Rupali Nabar, Sam Saibil, Ann W. Silk, Daniel Wang, Alice Y. Zhou, Jina Yun, Isaac Brownell, Judy Murray, Yvonne M. Mowery, Ted Gooley, Steven D. Gore, Suzanne L. Topalian, Paul Nghiem

Notice bibliographique

RevueRegular and Young Investigator Award Abstracts · 2025
Typearticle
Langue
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueHedgehog Signaling Pathway Studies
Établissements canadiensPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesNational Cancer InstituteEMD Serono
Mots-clésAvelumabMerkel cell carcinomaMerkel cellPhase (matter)CarcinomaMatrix (chemical analysis)

Résumé

récupéré en direct d'OpenAlex

Background Merkel cell carcinoma (MCC) is a rare neuroendocrine skin cancer driven by UV-induced mutations or the Merkel cell polyomavirus. It is aggressive, with a high Ki-67 proliferative index. Despite an ~55% response rate to PD-1 pathway inhibitors, most patients develop primary or acquired resistance. ATR (ataxia telangiectasia and Rad3-related) kinase, a critical cell cycle checkpoint regulator, ensures genome fidelity in cancer cells experiencing high replication stress. Recent preclinical 1 2 and clinical3–6 data suggest that ATR inhibition can enhance anti-tumor immunity and synergize with anti-PD-(L)1 therapy. Our preclinical findings suggest transcriptional induction of NF-κB-associated proinflammatory mechanisms with ATR inhibition. The potent, selective, oral ATR inhibitor tuvusertib has shown antitumor activity in phase I trials.6 We hypothesize that tuvusertib with anti-PD-(L)1 therapy, may induce tumor regression in advanced anti-PD-(L)1-refractory MCC.Methods The multicenter, randomized, phase II MATRiX trial tests the safety and efficacy of tuvusertib ± avelumab in patients with metastatic MCC refractory to PD-(L)1 blockade ( figure 1). Patients with progressive disease per Response Evaluation Criteria in Solid Tumors (RECIST v1.1) within 120 days of their last anti-PD-(L)1 therapy are eligible. Subjects in Arm 1 or 2 receive tuvusertib 180 mg QD on days 1-14 of each 21-day cycle (figure 2). Subjects in Arm 2 also receive avelumab 1600 mg IV on day 1 of each cycle. Imaging at week 9 and every 12 weeks thereafter is assessed per RECIST v1.1. The primary endpoint is progression-free survival (PFS). With a targeted enrollment of 50 patients, this trial has 83% power (one-sided level of 10%) to detect a hazard ratio of 2.0 for PFS using a stratified (primary vs. acquired resistance) log-rank test. Binary outcomes will be compared via a Mantel-Haenszel test. Tumor, blood, and stool specimens will be profiled for multi-omic signatures of immune-mediated therapeutic outcomes.Results Between June 2024 and June 2025, 24 subjects were enrolled across 15 centers. Arm 1 (tuvusertib monotherapy) enrolled 10 patients and was closed for lack of efficacy on 5/12/2025, as per the pre-defined statistical plan; 5 crossed over to Arm 2. All additional new patients will be enrolled on Arm 2, with a target of 25 subjects.Conclusions There is a need for additional therapeutic approaches for immunotherapy-refractory MCC, as demonstrated by robust enrollment on this trial. This orthogonal approach to solid tumor immunotherapy, relevant to more common immunogenic cancers, may guide future combination strategies to better harness anti-tumor immunity.Acknowledgements NCI Experimental Therapeutics Clinical Trials Network, protocol writing, and regulatory teams. Patients, families, and partnering teams for their commitment to advancing our understanding of this disease. EDDOP Leadership Award-P30 Administrative Supplement, the Mark Foundation for Cancer Research, the Kelsey Dickson Team Science Courage Research Team Award, and the MCC Patient Gift Fund. This study is financially supported by EMD Serono (CrossRef Funder ID: 10.13039/100004755), which provides avelumab and tuvusertib.Trial Registration NCT05947500References Vendetti FP, Karukonda P, Clump DA, et al. ATR kinase inhibitor AZD6738 potentiates CD8+ T cell-dependent antitumor activity following radiation. J Clin Invest. 2018;128(9):3926–3940.Hardaker EL, Sanseviero E, Karmokar A, et al. The ATR inhibitor ceralasertib potentiates cancer checkpoint immunotherapy by regulating the tumor microenvironment. Nat Commun. 2024;15(1):1700.Thomas A, Takahashi N, Rajapakse VN, et al. Therapeutic targeting of ATR yields durable regressions in small cell lung cancers with high replication stress. Cancer Cell. 2021;39(4):566-579.e7.Kim R, Kwon M, An M, et al. Phase II study of ceralasertib (AZD6738) in combination with durvalumab in patients with advanced/metastatic melanoma who have failed prior anti-PD-1 therapy. Ann Oncol. 2022;33(2):193–203.Besse B, Pons-Tostivint E, Park K, et al. Biomarker-directed targeted therapy plus durvalumab in advanced non-small-cell lung cancer: a phase 2 umbrella trial. Nat Med. 2024;30(3):716–729.Yap TA, Tolcher AW, Plummer R, et al. First-in-human study of the ataxia telangiectasia and Rad3-related (ATR) inhibitor tuvusertib (M1774) as monotherapy in patients with solid tumors. Clin Cancer Res. 2024;30(10):2057-2067.Ethics Approval The study is reviewed by NCI’s Central Institutional Review Board; approval number is 10592.Abstract 599 Figure 1An overview of the multicenter, NCI-sponsored Phase II study designed to test the efficacy of tuvusertib, with or without avelumab, to address anti-PD-(L)1 resistance in advanced, refractory MCC; NCT05947500Abstract 599 Figure 2Timeline of treatment regimen and biospecimen acquisition for patients randomized to arm 1 and 2

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,019

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,008
Tête enseignante GPT0,256
Écart entre enseignants0,247 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeEssai randomisé
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentnon

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