Dietary Interventions with Immunotherapy for Cancer
This study is looking at how different diets might affect patients with melanoma and non-small cell lung cancer (NSCLC) who are receiving immunotherapy (treatment that helps your immune system fight cancer). Specifically, it's testing a high-fermented food diet and high-fiber supplements. Researchers want to see how these diets change the gut microbiome (the bacteria in your intestines) and impact the body's immune response to cancer. The study will enroll about 70 adults aged 18 and older. The main goal is to measure changes in the gut bacteria composition over approximately 14 weeks. The current status of this study is unclear.
- Study design
- This is a pilot interventional study with about 70 participants. It involves sequential use of high-fermented foods followed by high-fiber supplementation.
- What's involved
- You would consume a high-fermented food diet for 4 weeks, have a 2-week break, then consume high-fiber supplements for 4 weeks, followed by another 2-week break. You would also provide blood and stool samples, and fill out questionnaires.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint measures are taken up to 14 weeks.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Dietary Interventions in Cancer Patients Treated With Immune Checkpoint Inhibitors
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Hassane M Zarour, MD · PRINCIPAL_INVESTIGATOR · UPMC Hillman Cancer Center
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
What this trial measures
- Change in cell frequency of gut microbiota compositionUp to 14 weeks
Changes in gut microbiome diversity and function, evaluated with metagenomics, identify differentially abundant taxa and assess all genes in all organisms present in each fecal microbiota sample in pre- vs. post- each dietary using PERMANOVA. This will be measured as change of cell frequency and calculated as percentage change.