View clinical trials related to Melanoma (Skin).
Filter by:The investigators will conduct a single-arm pilot feasibility trial of mentored community gardening for melanoma survivors integrating dosimeters and accelerometers. Harvest for Health Together Arizona (H4H2-AZ) is an evidence-based program adapted for arid desert gardening that also addresses sun safety through group workshops and peer education. The primary aim is to evaluate adherence to the intervention.
The purpose of this study is to evaluate the efficacy and safety of ANV419 monotherapy or the combination of ANV419 with anti-PD1 antibody or with anti-CTLA4 antibody in adult participants with advanced (unresectable or metastatic) cutaneous melanoma.
This study is being conducted to explore the immunological mechanism of action of Peptide-coated Conditionally Replicating Adenovirus-1 (PeptiCRAd-1) plus Checkpoint inhibitor (CPI) therapy in multiple cancer types, as well as to obtain early information on the safety of this combination therapy.
Prospective non-interventional study of clinical outcomes and biomarkers in patients with stage 0-IV skin melanoma in real clinical practice
A Multicenter, Prospective, Low-interventional Clinical Study Evaluating on mobile application validation ("ProRodinki") in assessing the risk of skin malignant neoplasms
Researchers are trying to find ways to improve the management of people with intermediate or high risk resected cutaneous melanoma or with primary uveal melanoma. This research study is investigating using a new blood test to decide when to give a drug called tebentafusp. Tebentafusp has been used in clinical trials in patients with advanced cutaneous and uveal melanoma. This study is designed to determine if tebentafusp can help patients with cutaneous or uveal melanoma live longer.
Among the mechanisms responsible for resistance to immunotherapy, metabolism seems to play a major role. A better understanding of tumor metabolism appears to be absolutely necessary in order to propose efficient therapeutic alternatives to target tumor cells without exerting a deleterious effect on the cells responsible for the anti-tumor immune response. The main objective is to evaluate metabolism modulations in melanoma cells extracted from metastases of patients sensitive and resistant to immunotherapies (anti-PD1 or anti-PD1+anti-CTLA4).
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.
1. Background The purpose of this study is to describe the profile of patients with BRAF-mutated melanoma treated with BRAF/MEK inhibitors combination and using the Tavie Skin application. TavieSkin app, a digital solution developped by Pierre Fabre, is dedicated to all BRAF-mutant unresectable or metastatic melanoma patients who are treated with "any" targeted therapies. 2. Study objectives The primary objective of the survey is to describe the demographics and clinical characteristics of patients with unresectable or metastatic BRAF-mutated melanoma treated with targeted therapy (BRAFi/MEKi) and using the TavieSkin application The secondary objectives include: - To assess the use of TavieSkin app in patients with unresectable or metastatic BRAF-mutated melanoma treated with BRAFi/MEKi combination; - To assess the treatment adherence of patients using TavieSkin app including treatment interruption or permanent discontinuation; - To assess the health-related quality of life of patients using TavieSkin app (FACT-M); - To assess work productivity and activity impairment over the treatment duration - To assess the patient satisfaction toward the TavieSkin application; - To assess the patient satisfaction toward the treatment. 3. Research methods 3.1 Study design This prospective, longitudinal, survey will be conducted in Europe to characterize BRAF-mutant unresectable or metastatic melanoma patients using TavieSkin app designed for accompanying patients treated with targeted therapies. To date, there are three combinations of BRAFi/MEKi available in routine practice for the treatment of BRAF-mutant unresectable or metastatic melanoma. The survey does not provide or recommend any treatment or procedure; all decisions regarding treatment are made at the sole discretion of the treating physicians in accordance with their usual practices. The patients initiating any BRAFi/MEKi combination will be invited to use the TavieSkin app by their healthcare provider (HCP) (i.e. oncologist, dermatologist, nurse…). Once the patient has installed and started to use the application, an e-survey will be proposed to the patient via the app. A detailed information letter about the data collection, data privacy and analysis will be displayed to the patient via the app along with an e-consent for data collection. The patient will be able then to provide an e-signature, if he/she accepts to take part of this survey. The survey will collect anonymized data about health status, QoL data and satisfaction. These data will be collected by the patient only. The physician will not be involved in this e-survey (including e-consent), nor in data collection. Only patients having given consent (e-consent) to data collection and analysis will be included. Data will be collected at baseline and at different subsequent timepoints during the BRAFi/MEKi treatment duration only. Only data reported by the patients in the application will be collected and analyzed. The patient will discontinue the study in case of definitive withdrawal of BRAFi/MEKi treatment, or if he/she decides to withdraw the study and to stop data collection. The target countries for patient enrollment will include Germany, Belgium, Portugal, France, Spain, Italy and Sweden with the additional possibility of including patients from other EU countries. At least, 400 adult patients (≥18 years) will be enrolled. 3.2 Population (see section: Eligibility) 3.3 Study outcomes (see section: Outcome measures) 3.4 Statistical considerations Statistical analyses will be fully described in a written statistical analysis plan (SAP). The study endpoints will be analysed overall and by country. Analyses will be descriptive in nature, as no hypothesis will be tested. The treatment patterns of patients, baseline demographics and clinical characteristics, and reasons for treatment discontinuation will be described using summary statistics. Categorical variables will be summarized by frequencies and percentages. Continuous variables will be summarized by descriptive statistics (mean, and standard deviation, median, 25th and 75th percentiles, minimum and maximum). The number of missing observations for each variable will also be reported. Change in health-related quality-of-life scores (i.e. (FACT-M) will be summarised at baseline and at each timepoints. The change from baseline will be assessed using a mixed model for repeated measures (MMRM). Time to event data (i.e. time to treatment discontinuation, time QoL deterioration) will be evaluated using Kaplan-Meier survival curves. Median survival estimates will be reported along with the 25th and 75th percentiles and corresponding 95% confidence intervals (CIs). Cox regression analysis may be performed to adjust for predefined (baseline) covariates. If the sample size is adequate, subgroup analyses using variables at baseline might be conducted.
This is a multicenter, ambispective, low-interventional clinical study evaluating molecular genetic markers for non-invasive differential diagnosis of benign and malignant pigmented skin and mucosal neoplasms. In retrospective cohorts genetics markers will be identified. In prospective cohort non-invasive adhesive system will be tested to identify malignant or benign lesions with prespecified sensitivity and specificity compared to other non-invasive techniques (i.e. dermoscopy) and using histopathological examination as a "golden standard".