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dc.contributor.authorCrippa, Alessio
dc.contributor.authorDe Laere, Bram
dc.contributor.authorDiscacciati, Andrea
dc.contributor.authorLarsson, Berit
dc.contributor.authorConnor, Jason T
dc.contributor.authorGabriel, Erin E
dc.contributor.authorThellenberg, Camilla
dc.contributor.authorJänes, Elin
dc.contributor.authorEnblad, Gunilla
dc.contributor.authorUllen, Anders
dc.contributor.authorHjälm-Eriksson, Marie
dc.contributor.authorOldenburg, Jan
dc.contributor.authorOst, Piet
dc.contributor.authorLindberg, Johan
dc.contributor.authorEklund, Martin
dc.contributor.authorGrönberg, Henrik
dc.date.accessioned2020-06-30T05:12:34Z
dc.date.available2020-06-30T05:12:34Z
dc.date.issued2020
dc.identifier.citationTrials. 2020 Jun 26;21(1):579
dc.identifier.urihttp://hdl.handle.net/10852/77335
dc.description.abstractBackground Multiple therapies exist for patients with metastatic castration-resistant prostate cancer (mCRPC). However, their improvement on progression-free survival (PFS) remains modest, potentially explained by tumor molecular heterogeneity. Several prognostic molecular biomarkers have been identified for mCRPC that may have predictive potential to guide treatment selection and prolong PFS. We designed a platform trial to test this hypothesis. Methods The Prostate-Biomarker (ProBio) study is a multi-center, outcome-adaptive, multi-arm, biomarker-driven platform trial for tailoring treatment decisions for men with mCRPC. Treatment decisions in the experimental arms are based on biomarker signatures defined as mutations in certain genes/pathways suggested in the scientific literature to be important for treatment response in mCRPC. The biomarker signatures are determined by targeted sequencing of circulating tumor and germline DNA using a panel specifically designed for mCRPC. Discussion Patients are stratified based on the sequencing results and randomized to either current clinical practice (control), where the treating physician decides treatment, or to molecularly driven treatment selection based on the biomarker profile. Outcome-adaptive randomization is implemented to early identify promising treatments for a biomarker signature. Biomarker signature-treatment combinations graduate from the platform when they demonstrate 85% probability of improving PFS compared to the control arm. Graduated combinations are further evaluated in a seamless confirmatory trial with fixed randomization. The platform design allows for new drugs and biomarkers to be introduced in the study. Conclusions The ProBio design allows promising treatment-biomarker combinations to quickly graduate from the platform and be confirmed for rapid implementation in clinical care. Trial registration ClinicalTrials.gov Identifier NCT03903835. Date of registration: April 4, 2019. Status: Recruiting.
dc.language.isoeng
dc.rightsThe Author(s)
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleThe ProBio trial: molecular biomarkers for advancing personalized treatment decision in patients with metastatic castration-resistant prostate cancer
dc.typeJournal article
dc.date.updated2020-06-30T05:12:35Z
dc.creator.authorCrippa, Alessio
dc.creator.authorDe Laere, Bram
dc.creator.authorDiscacciati, Andrea
dc.creator.authorLarsson, Berit
dc.creator.authorConnor, Jason T
dc.creator.authorGabriel, Erin E
dc.creator.authorThellenberg, Camilla
dc.creator.authorJänes, Elin
dc.creator.authorEnblad, Gunilla
dc.creator.authorUllen, Anders
dc.creator.authorHjälm-Eriksson, Marie
dc.creator.authorOldenburg, Jan
dc.creator.authorOst, Piet
dc.creator.authorLindberg, Johan
dc.creator.authorEklund, Martin
dc.creator.authorGrönberg, Henrik
dc.identifier.cristin1892558
dc.identifier.doihttps://doi.org/10.1186/s13063-020-04515-8
dc.identifier.urnURN:NBN:no-80413
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/77335/1/13063_2020_Article_4515.pdf
dc.type.versionPublishedVersion
cristin.articleid579


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Attribution 4.0 International
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