Status and phase
Conditions
Treatments
About
ProBio is an international, outcome-adaptive, multi-arm, open-label, multiple assignment randomized biomarker driven platform trial in patients with metastatic prostate cancer. Patients will be randomized to control or experimental treatment arms. Patients in the control arm will receive standard of care following national guidelines. Patients in the experimental arm will be randomized to treatments based on a biomarker signature inferred from diagnostic tissue or liquid biopsy profiling. The predefined biomarker signatures are tumor properties or mutations in genes/pathways with previously demonstrated clinical validity (e.g. prognostic value or association with treatment response). The biomarker signatures are identified using a hybridisation capture gene panel specifically designed for prostate cancer.
Full description
ProBio is an outcome-adaptive, multi-arm, open-label, multiple assignment randomised biomarker driven platform trial in patients with metastatic hormone-sensitive and castration-resistant prostate cancer.
Patients will be randomised to control or experimental treatment class arms. Patients in the control arm will receive standard of care following national guidelines and will remain within the control arm throughout the course of the trial. Patients in the experimental arm will be randomised to a treatment class (consisting of one or multiple drugs) based on a biomarker signature. The biomarker signatures are defined as tumour properties or mutations in certain genes/pathways identified in the scientific literature as important in prostate cancer treatment response. The biomarker signatures are identified using a gene panel specifically designed for advanced prostate cancer.
Alterations in the following genes/pathways or combinations thereof constitute the biomarker signatures:
Patients in the experimental arm can be randomized to the following treatments classes:
for mHSPC
for mCRPC
ProBio will use outcome-adaptive randomization, adapting the randomization based on the observed progression free survival (PFS) within biomarker signatures. Treatments will initially be assigned to patients based on the biomarker signatures for which that treatment is most likely to be effective. The trial will be analyzed within a Bayesian framework, which allows for calculations of the probability for each treatment that it is superior to standard of care within a given signature. Each experimental arm will be evaluated for efficacy relative to the control arm with the same biomarker signatures.
Participants and treating physicians will be blinded to ctDNA profile of each patient. The biomarker signatures will thus not influence treatment choice among controls (reflecting today's standard of care).
Further, ProBio will use the sequential multiple assignments trial (SMART) concept, where each patient who progresses within the trial will re-enter the trial and be re-assigned to another treatment based on the patient's current ctDNA profile. Patients will be withdrawn after in total maximal three randomized consecutive treatments after inclusion into the study.
The randomization probabilities within the experimental arm are defined in proportion to the probability that each treatment is superior to standard of care within a given biomarker signature, and therefore change as data accumulates in the trial and knowledge accumulates for what biomarker signatures and specific treatments that are more probable to be effective.
Trial results will be evaluated regularly by an independent data and safety monitoring board (DSMB). The DSMB will evaluate treatment-signature combinations with respect to:
ProBio is a platform study. This means that new treatments and biomarker signatures can be added to the experimental arm in the future. This will be done after protocol amendments.
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Exclusion criteria
Primary purpose
Allocation
Interventional model
Masking
750 participants in 8 patient groups
Loading...
Central trial contact
Berit Larsson, MSc; Henrik Grönberg, Professor
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal