Using Ex Vivo Tumoroids To Predict Immunotherapy Response In NSCLC (TUMORIN)
Jun Zhang, MD, PhD
Summary
To test whether it is feasible to perform the 3D-EX functional predictive response bioassay in the context of patients with advanced/metastatic NSCLC receiving immune checkpoint inhibitors in the standard of care clinical setting.
Description
Non-small cell lung cancer (NSCLC), which accounts for approximately 85% of all lung cancer cases, remains the leading cause of cancer death worldwide. Immunotherapy such as using immune checkpoint inhibitors (ICIs) to target the programmed death-1 and its ligand (PD-1/L1) has revolutionized our management of this deadly disease. However, a large proportion of patients do not derive benefit due to primary, adaptive or acquired resistance. Hence, better identifying this patient population, understanding the resistance mechanism and exploring novel combinations with current SOC immunotherapy ar…
Eligibility
- Age range
- 18–110 years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria: * Ability of participant OR Legally Authorized Representative (LAR) to understand this study, and participant or LAR willingness to sign a written informed consent * Patients with advanced/metastatic NSCLC * Must be immunotherapy naive * Males and females age ≥ 18 years * ECOG Performance Status 0 - 2 * Measurable disease by RECIST 1.1 * Must have a lesion (either primary or metastatic lesion) that can be safely biopsied to have sufficient tissue (at minimum, 3-4 cores using 20g or larger core biopsy) to generate tumoroids * Must have at least one target lesion to evaluate…
Interventions
- DrugStandard of care immune checkpoint inhbitors
This is NOT an interventional study.
Locations (2)
- The University of Kansas Cancer Center (KUCC)Fairway, Kansas
- The University of Kansas Cancer Center, Westwood CampusKansas City, Kansas