Oral mucosa leukoplakia

This trial tests a sticky patch that releases fenretinide, a vitamin A derivative, directly onto precancerous spots inside the mouth. The goal is to see if the patch can shrink these lesions, reduce their severity under the microscope, and lower genetic changes linked to oral can…

This study tests whether a vitamin D-based gel (calcipotriol) or a light-activated treatment (photodynamic therapy) can shrink or eliminate oral leukoplakia, a precancerous condition. Thirty adults with mild to moderate dysplasia will receive one of the two treatments for four we…

This early-phase trial tests whether injecting the cancer drug nivolumab directly into high-risk precancerous mouth lesions is safe and can shrink them. The study involves 18 adults with untreated oral lesions. The goal is to see if this local approach can reduce the risk of thes…

This study is testing a new robotic system, the Medtronic Hugo™, for performing hysterectomies. It includes 70 patients with conditions like uterine fibroids, endometriosis, or certain cancers. The goal is to see if the robot is safe and can complete the surgery without switching…

This study tests whether special lights and cameras can help find early signs of mouth cancer in people at high risk. About 338 participants with precancerous spots or conditions like Fanconi anemia will have their mouths examined with fluorescence imaging, which makes abnormal c…

This phase 2 trial tests whether metformin, a widely used diabetes drug, can prevent oral cancer in 26 people with precancerous mouth lesions (leukoplakia or erythroplakia). Participants take metformin by mouth, and researchers check if the lesions shrink or disappear. The goal i…

This study tests whether metformin, a common diabetes drug, can prevent oral cancer in people with precancerous white or red patches in the mouth. About 34 participants will receive either metformin or a placebo for several months. Researchers will check if the patches shrink or …

This study is testing whether an artificial intelligence (AI) model can help doctors better detect, diagnose, and treat esophageal cancer. Researchers will feed de-identified data from 12,000 patients receiving routine care into the AI and compare its recommendations to standard …

This study collects tissue and blood samples from 1,200 adults with known or suspected cancer. The samples are taken during standard surgeries or biopsies, with no extra procedures. Researchers will compare cancerous and normal tissues to identify differences that could lead to n…

This study searches for new gene changes (mutations) that appear in cancer patients but not in their healthy parents. By comparing DNA from 1,275 people with certain cancers and their families, researchers hope to find genetic clues that increase cancer risk. The goal is to bette…