Investigator choice of standard therapy versus sequential novel therapy arms in the treatment of relapsed follicular lymphoma (REFRACT): study protocol for a multi-centre, open-label, randomised, phase II platform trial.

Adaptive design Bayesian power prior methodology Clinical trial Epcoritamab Lenalidomide Relapsed follicular lymphoma

Journal

BMC cancer
ISSN: 1471-2407
Titre abrégé: BMC Cancer
Pays: England
ID NLM: 100967800

Informations de publication

Date de publication:
25 Mar 2024
Historique:
received: 14 02 2024
accepted: 12 03 2024
medline: 26 3 2024
pubmed: 26 3 2024
entrez: 26 3 2024
Statut: epublish

Résumé

Relapsed or refractory follicular lymphoma (rrFL) is an incurable disease associated with shorter remissions and survival after each line of standard therapy. Many promising novel, chemotherapy-free therapies are in development, but few are licensed as their role in current treatment pathways is poorly defined. The REFRACT trial is an investigator-initiated, UK National Cancer Research Institute, open-label, multi-centre, randomised phase II platform trial aimed at accelerating clinical development of novel therapies by addressing evidence gaps. The first of the three sequential novel therapy arms is epcoritamab plus lenalidomide, to be compared with investigator choice standard therapy (ICT). Patients aged 18 years or older with biopsy proven relapsed or refractory CD20 positive, grade 1-3a follicular lymphoma and assessable disease by PET-CT are eligible. The primary outcome is complete metabolic response by PET-CT at 24 weeks using the Deauville 5-point scale and Lugano 2014 criteria. Secondary outcomes include overall metabolic response, progression-free survival, overall survival, duration of response, and quality of life assessed by EQ-5D-5 L and FACT-Lym. The trial employs an innovative Bayesian design with a target sample size of 284 patients: 95 in the ICT arm and 189 in the novel therapy arms. Whilst there are many promising novel drugs in early clinical development for rrFL, understanding the relative efficacy and safety of these agents, and their place in modern treatment pathways, is limited by a lack of randomised trials and dearth of published outcomes for standard regimens to act as historic controls. Therefore, the aim of REFRACT is to provide an efficient platform to evaluate novel agents against standard therapies for rrFL. The adaptive Bayesian power prior methodology design will minimise patient numbers and accelerate trial delivery. ClinicalTrials.gov: NCT05848765; 08-May-2023. 2022-000677-75; 10-Feb-2022.

Sections du résumé

BACKGROUND BACKGROUND
Relapsed or refractory follicular lymphoma (rrFL) is an incurable disease associated with shorter remissions and survival after each line of standard therapy. Many promising novel, chemotherapy-free therapies are in development, but few are licensed as their role in current treatment pathways is poorly defined.
METHODS METHODS
The REFRACT trial is an investigator-initiated, UK National Cancer Research Institute, open-label, multi-centre, randomised phase II platform trial aimed at accelerating clinical development of novel therapies by addressing evidence gaps. The first of the three sequential novel therapy arms is epcoritamab plus lenalidomide, to be compared with investigator choice standard therapy (ICT). Patients aged 18 years or older with biopsy proven relapsed or refractory CD20 positive, grade 1-3a follicular lymphoma and assessable disease by PET-CT are eligible. The primary outcome is complete metabolic response by PET-CT at 24 weeks using the Deauville 5-point scale and Lugano 2014 criteria. Secondary outcomes include overall metabolic response, progression-free survival, overall survival, duration of response, and quality of life assessed by EQ-5D-5 L and FACT-Lym. The trial employs an innovative Bayesian design with a target sample size of 284 patients: 95 in the ICT arm and 189 in the novel therapy arms.
DISCUSSION CONCLUSIONS
Whilst there are many promising novel drugs in early clinical development for rrFL, understanding the relative efficacy and safety of these agents, and their place in modern treatment pathways, is limited by a lack of randomised trials and dearth of published outcomes for standard regimens to act as historic controls. Therefore, the aim of REFRACT is to provide an efficient platform to evaluate novel agents against standard therapies for rrFL. The adaptive Bayesian power prior methodology design will minimise patient numbers and accelerate trial delivery.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov: NCT05848765; 08-May-2023.
EUDRACT UNASSIGNED
2022-000677-75; 10-Feb-2022.

Identifiants

pubmed: 38528445
doi: 10.1186/s12885-024-12112-0
pii: 10.1186/s12885-024-12112-0
doi:

Banques de données

ClinicalTrials.gov
['NCT05848765']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

370

Informations de copyright

© 2024. The Author(s).

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Auteurs

Graham McIlroy (G)

Cancer Research UK Clinical Trials Unit (CRCTU), University of Birmingham, Birmingham, UK. g.w.mcilroy.1@bham.ac.uk.

Siân Lax (S)

Cancer Research UK Clinical Trials Unit (CRCTU), University of Birmingham, Birmingham, UK.

Charlotte Gaskell (C)

Cancer Research UK Clinical Trials Unit (CRCTU), University of Birmingham, Birmingham, UK.

Aimee Jackson (A)

Cancer Research UK Clinical Trials Unit (CRCTU), University of Birmingham, Birmingham, UK.

Malcolm Rhodes (M)

National Cancer Research Institute, London, UK.

Tania Seale (T)

Division of Cancer Sciences, University of Manchester, Manchester, UK.

Sonia Fox (S)

Cancer Research UK Clinical Trials Unit (CRCTU), University of Birmingham, Birmingham, UK.

Lousie Hopkins (L)

Cancer Research UK Clinical Trials Unit (CRCTU), University of Birmingham, Birmingham, UK.

Jessica Okosun (J)

Barts Cancer Institute, Queen Mary University of London, London, UK.

Sally F Barrington (SF)

King's College London and Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, UK.

Ingo Ringshausen (I)

UCL Cancer Institute, University College London, London, UK.

Alan G Ramsay (AG)

School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK.

Maria Calaminici (M)

Department of Cellular Pathology Barts Health and Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK.

Kim Linton (K)

Division of Cancer Sciences, University of Manchester, Manchester, UK.
Department of Medical Oncology, The Christie NHS Foundation Trust, Manchester, UK.

Mark Bishton (M)

Translational Medical Sciences, University of Nottingham, Nottingham, UK.
Department of Haematology, Nottingham University Hospitals NHS Trust, Nottingham, UK.

Classifications MeSH