Clinical trial NCT05332925: Using Ex Vivo Tumoroids To Predict Immunotherapy Response In NSCLC
Official title: Using Ex Vivo Tumoroids To Predict Immunotherapy Response In NSCLC (TUMORIN)
Study type: OBSERVATIONAL
Overall status: RECRUITING
Conditions: Lung Cancer
NSCLC
NSCLC Stage IV
Keywords: Tumoroids
Organoids
Immunotherapy
Immune check point inhibitor
Anti-PD-1
Anti-CTLA-4
Ex vivo model
3D culture
Lead sponsor: University of Kansas Medical Center
Sponsor class: OTHER
Collaborators: name: Nilogen Oncosystems
First posted: 2022-04-18
Enrollment: 25
Sex: ALL
Minimum age (years): 18
Maximum age (years): 110
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: OTHER
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Advanced/metastatic NSCLC patients who are immunotherapy naïve and ready to receive immune checkpoint inhibitors as standard--of-care treatment.

Brief 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.

Detailed 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 are urgently needed to continue to benefit our NSCLC patients.

The investigators hypothesize that patient-derived immune cell containing ex-vivo tumoroids could serve these purposes. In this study, the investigators plan to develop such a 3D ex-vivo system utilizing fresh biopsied tissue from NSCLC patients. The investigators plan to prospectively evaluate the value of these ex-vivo tumoroids in immunotherapy naive advanced/metastatic NSCLC patients who will be receiving anti-PD-1/L1 (with or without anti-CTLA-4) per standard-of-care.

Eligibility criteria: 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 treatment response
* Will be receiving anti-PD-1/L1 with or without anti-CTLA-4 per standard of care Adequate organ function defined per standard of care in this setting.
* Women of child-bearing potential and men with partners of child-bearing potential must agree to practice sexual abstinence or to use the forms of contraception as required/recommended by each immune checkpoint inhibitor used in the setting of standard of care.

Exclusion Criteria:

* Incarcerated
* Not competent to make medical decision, noncommunicative or noncompliant per investigator's judgement.

Primary outcomes:
measure: Feasibility of establishing 3D ex-vivo tumoroid model
timeFrame: 2 years
Secondary outcomes:
measure: Correlation of response in ex vivo tumoroids with clinical objective response
timeFrame: 2 years
Other outcomes:
Locations:
city: Fairway
country: United States
facility: The University of Kansas Cancer Center (KUCC)
state: Kansas
city: Kansas City
country: United States
facility: The University of Kansas Cancer Center, Westwood Campus
state: Kansas
Study officials:
affiliation: University of Kansas Medical Center
name: Jun Zhang, MD, PhD
role: PRINCIPAL_INVESTIGATOR
References: