View clinical trials related to Melanoma.
Filter by:This clinical trial examines the effects of simulated solar radiation on human skin in preventing skin cancer. Testing whether new drugs affect biomarkers in the skin is a good first test of whether the drug might prevent skin cancer. Some biomarkers in skin, and even in moles, are affected after a person is exposed to sunlight. This study may help doctors learn more about what happens to the skin and moles when the participants are exposed to the sun.
This phase II trial studies the effects of binimetinib and encorafenib in treating patients with melanoma that has spread to the central nervous system (metastases). Binimetinib and encorafenib may stop the growth of tumor cells by blocking some of the enzymes needed for cell growth. Giving binimetinib and encorafenib may help control melanoma that has spread to the brain.
Patients in the study will be treated with Melphalan/HDS and will receive up to 6 total treatments. This study will evaluate the safety and effects of the treatment.
Melanoma (skin cancer) frequently develops from existing moles on the skin. Current practice relies on expert dermatologists being able to successfully identify new/changing moles in individuals with multiple moles. Total body photography (TBP-high-quality images of the entire skin) can track and monitor moles over time to detect melanoma. However, TBP is currently used as a visual guide when diagnosing melanoma, requiring visual inspection of each mole sequentially. This process is challenging, time-consuming and inefficient. Artificial intelligence (AI) is ideally suited to automate this process. Comparing baseline TBP images to newly acquired photographs, AI techniques can be used to accurately identify and highlight changing moles, and potentially distinguish harmless moles from cancerous changes. Astrophysicists face a similar problem when they map the night sky to detect new events, such as exploding stars. Using AI, based on two or more images, astrophysicists detect new events and accurately predict how they will appear subsequently. This project, called MoleGazer, is a collaboration with astrophysicists aiming to apply AI methods that are currently used for astronomical sky surveys, to TBP images. The MoleGazer algorithm, developed at Oxford University Hospitals NHS Foundation Trust, will automatically identify the appearance of new moles and characterise changes in existing ones, when new TBP images are taken. To optimise this MoleGazer algorithm TBP images will be taken at multiple time-points, as there are no existing datasets of TBP images that are publicly available. The investigators invite a) high-risk patients attending skin cancer screening clinics to attend sequential three-monthly TBP imaging and clinical assessment and b) any patient who undergoes TBP as standard care to share images so that the investigators can develop the MoleGazer algorithm. The ultimate goal is for the MoleGazer algorithm to 'map moles' over a patient's lifetime to detect changes, with the eventual aim to detect melanoma as early as possible.
The purpose of this study is to evaluate whether zirconium Zr 89 crefmirlimab berdoxam (other names 89Zr-crefmirlimab berdoxam, 89Zr-Df-crefmirlimab, 89Zr-Df-IAB22M2C) PET/CT can predict the response of advanced or metastatic melanoma, Merkel cell carcinoma, renal cell carcinoma, or non-small cell lung cancer tumors to immuno-oncology therapy.
Phase 2, multicenter, single-arm, open-label basket study designed to evaluate the safety and efficacy of milademetan in patients with advanced or metastatic solid tumors refractory or intolerant to standard-of-care therapy that exhibit wild-type (WT) TP53 and MDM2 copy number (CN) ≥ 8 using prespecified biomarker criteria.
Sinonasal mucosal melanoma (SNMM) is a very rare tumor, and SNMM is highly aggressive in nature, with a 5-year survival rate of about 20~30%. Most patients underwent local recurrence and distant metastasis within one or two years of treatment. There is no unified standard for the treatment of SNMM.The principle of treatment for surgically resectable stage T3 and partial T4 SNMM is complete resection of the primary tumor, combined with postoperative radiotherapy. While locally unresectable SNMM has a poorer prognosis, lower incidence, fewer clinical data have been reported. This study will explore the role of preoperative radiotherapy and chemotherapy in improving the 2-year OS rate, loco-regional control rate and distant metastasis rate.
Pathologists provide the current gold standard in skin lesion diagnostics, most often primarily based on the interpretation of histological slides. Still, it has been suggested that pathologists' diagnostic accuracy and confidence could be improved if they gained access to additional clinical information and in-vivo clinical and dermoscopic images of melanocytic tumors. This study examines the effect of digital training for pathologists in interpreting dermoscopic and clinical skin tumor images. Aim: To examine how case-based online training in interpreting clinical and dermoscopic images affects a pathologist's ability to diagnose skin tumors. Data collection of DAHT cases: Department of plastic surgery, Herlev hospital, year 2020-2021, DAHT platform: Made in 2021-2023 by Melatech, Consensus agreement: Four dermatopathologists assess all DAHT cases, year 2023-2024 Enrollment of pathologists: Randomization and assessment DAHT cases, year 2025.
Tumor Treating Fields targeted to liver metastases may improve outcomes for patients with metastatic uveal melanoma treated with immune checkpoint inhibitors.
This is a phase 1, multicenter, open-label, single-arm study to investigate the safety and tolerability of encorafenib 300 mg once daily (QD) monotherapy in adult Chinese participants with B-RAF Proto-oncogene, Serine/threonine Kinase V600E (BRAF V600E) mutant advanced solid tumors (unresectable metastatic melanoma or metastatic non-small cell lung cancer (NSCLC)), who are BRAF-inhibitor treatment-naïve and have failed the previous therapy(ies) in the metastatic setting or are not eligible to standard therapy. Participants will be eligible for the study based on identification of a BRAF V600E mutation in tumor tissue by a local National Medical Products Administration (NMPA) approved assay obtained prior to screening.