Adding CBM588 to Pembrolizumab for Renal Cell Cancer After Surgery
This study is looking at whether adding a live biotherapeutic product called CBM588 to pembrolizumab (an immunotherapy drug) can help prevent kidney cancer from coming back after surgery. Pembrolizumab works by helping your body's immune system fight cancer cells. Researchers believe that changes in the healthy bacteria in your body (your microbiome) might improve how well immunotherapy works. This trial will compare patients who receive CBM588 plus pembrolizumab to those who receive pembrolizumab alone. The main goal is to see if CBM588 increases a specific immune marker (interleukin-12 levels) and if it improves how long patients live without the cancer returning. You may be able to join if you have clear cell or sarcomatoid renal cell carcinoma that has been surgically removed and meet other criteria.
- Study design
- This is an interventional study with a planned enrollment of 62 participants. Patients will be randomly assigned to one of two groups: one receiving CBM588 and pembrolizumab, and the other receiving pembrolizumab alone.
- What's involved
- Participants will receive CBM588 orally or pembrolizumab intravenously (IV) in cycles for up to 12 months. You will also have blood samples collected and undergo CT scans throughout the study.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint measures changes in interleukin-12 levels from baseline to week 12.
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Adding a Live Biotherapeutic Product (CBM588) to Pembrolizumab for the Treatment of Renal Cell Cancer After Surgery
At a glance
Conditions
Where it's being run
2 sites across 1 statesStudy leadership
- Wesley Yip · PRINCIPAL_INVESTIGATOR · City of Hope Medical Center
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Change in interleukin (IL)-12 levelsBaseline to week 12
A two-sample t-test will be used to test the difference in the changes in IL-12 production for the two treatment arms. A Wilcoxon rank-sum test will be used if the changes are not normally distributed (p\< 0.05 by a Shapiro-Wilks test).