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This is a phase 2, pragmatic, 1:1 randomized, open-label study that evaluates risk-adapted, proteomic-guided systemic therapy to improve 12-month progression free survival (PFS) among patients with previously untreated advanced non-small cell lung cancer.
Participants will be randomized to an intervention arm or a standard of care (SOC) arm. Participants in the intervention arm will undergo pretreatment assessment with PROphet Clinical Benefit (CB) and the Cancer and Aging Research Group Toxicity Tool (CARG-TT); data from the assessments will be used to select systemic therapy, which can be any SOC treatment that incorporates a Programmed death-ligand 1 (PD-(L)1) antibody with or without chemotherapy and/or with or without Cytotoxic T-lymphocyte associated protein 4 (CTLA4) antibody. Participants in the SOC arm will undergo SOC biomarker assessment and subsequent selection of SOC systemic therapy. The primary endpoint is 12-month progression free survival (PFS). The findings will be stratified according to participant performance status and tumor PD-L1 score. The hypothesis is that risk-adapted, proteomic-guided systemic therapy will improve PFS among patients with previously untreated advanced NSCLC compared to SOC systemic therapy.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
University of California Davis Comprehensive Cancer Center
Sacramento, California, United States
Start Date
January 30, 2026
Primary Completion Date
May 1, 2036
Completion Date
December 1, 2036
Last Updated
February 9, 2026
56
ESTIMATED participants
Systemic (ICI)-based therapy informed by the PROphet CB assay and the CARG-TT assessment.
DRUG
Standard of Care
DRUG
Lead Sponsor
University of California, Davis
Collaborators
NCT07485114
NCT06066138
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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