Using Ex Vivo Tumoroids To Predict Immunotherapy Response In NSCLC

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-110
SponsorJun Zhang, MD, PhD

About this trial

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.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

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

Disqualifiers

Incarcerated

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

Trial population

Advanced/metastatic NSCLC patients who are immunotherapy naïve and ready to receive immune checkpoint inhibitors as standard--of-care treatment.

Trial design

Design model

Other

Time perspective

Prospective

Treatments tested in this trial

  • Standard of care immune checkpoint inhbitors

    Drug

    This is NOT an interventional study.

Treatment groups

No treatment groups listed

Trial outcomes

Primary outcomes

1

Feasibility of establishing 3D ex-vivo tumoroid model

Twenty-five patients will be enrolled. The bioassay will be considered to be feasible if the 3D Ex-Vivo assay results are obtained on at least 20 patients.

Time frame
2 years

Secondary outcomes

1

Correlation of response in ex vivo tumoroids with clinical objective response

To test whether the 3D-EX functional response bioassay can predict tumor response (using RECIST v1.1) in patients with advanced/metastatic NSCLC, receiving treatment with immune checkpoint inhibitors, in a standard clinical setting.

Time frame
2 years

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Jun Zhang, MD, PhD

Lead sponsor

University of Kansas Medical Center

Sponsor institution

Nilogen Oncosystems

Collaborator