Active clinical trials for "Melanoma"

Robust detection of single molecules in complex biological fluids is the ultimate goal in the field of disease biomarker analysis. Conventionally, to enable the quantitative analysis of individual molecules in macroscopic volumes, analyte pre-concentration and sample partitioning into fL-nL compartments has been combined with the amplification of the specific recognition events. In these setups, the positive or negative detection of fluorescence signal is triggered by enzymatic reactions occurring in each compartment. Binary readout based on Poisson statistics quantifies ultra-low concentrations of analyte molecules. This approach has been adopted for nucleic acids analysis in current digital PCR, and is also available for proteins in a technique coined as digital ELISA. The objective of VerSiLiB is to develop an enzyme-free amplification strategy for the analysis of both protein and nucleic acid analytes with the single digital platform that offers means to access additional information on target analytes not achievable with current technologies. Method is based on novel affinity-mediated-transport amplification, where affinity interaction of target analyte with a specific ligand attached to a magnetic nanoparticle transporter is accompanied with rapid shuttling of fluorescent tracers that serve as reporters. By applying external magnetic field, tracers are transported from the tracer storage side (where they are dark) to tracer active side (where they become bright) only if target analyte is present in the small reaction compartment. Tailored plasmonic nanostructures will be prepared at the storage and active sides of the compartment to render the tracer either dark or bright. The aim is to perform technology validation for the novel VerSiLiB proteogenomics amplification platform in cancer management using biobanked liquid biopsy samples.

Studies have shown that tumors from the same patient may respond very differently to the same therapeutic agents. This study aims to investigate the genetic basis of tumors that respond abnormally well or poorly to therapeutic agents in an effort to understand the fundamental genetic basis of this response. The present protocol seeks to retrospectively perform Exome, next-generation (DNA) sequencing and/or other molecular techniques on tumor samples to identify the genetic basis of a patient's exceptional response to chemotherapy.

This is an observational, multicentre epidemiological study with a longitudinal cohort in which information will be retrieved from medical records of patients with advanced metastatic or unresectable melanoma at first diagnosis.

Tumor genotyping has become an essential biomarker for the care of advanced lung cancer and melanoma, and is currently used to identify patients for treatment with targeted kinase inhibitors like erlotinib and vemurafenib. However, tumor genotyping can be slow and cumbersome, and is limited by availability of tumor biopsy tissue for testing. The aim of this study is to prospectively evaluate a blood-based genotyping tool that can quantify the presence of oncogenic mutations (EGFR, KRAS, BRAF) in patients with lung cancer and melanoma. This assay is being studied both as a diagnostic tool for classifying patient genotype, and a serial measurement tool for quantification of response and progression on therapy.

The objective of this clinical trial is to determine whether a Photoacoustic flow cytometry (PAFC)-based prototype device can detect circulating tumor cells (CTCs) in the blood of melanoma patients in vivo, in real time, and do so at detection limits at least one order of magnitude below the detection limits of currently existing ex vivo methods.

This is a 2-part prospective trial examining the ability of Stereotactic Body Radiation Therapy (SBRT) to induce a response to MK-3475, a humanized antibody to PD-1, in patients who progress on this antibody. Patients with metastatic melanoma will be enrolled after they have progressed on anti-PD-1 therapy. Patients with metastatic NSCLC (previously untreated with anti-PD-1 or anti-PD-L1 therapy) will be enrolled and treated with MK-3475 until they exhibit progression of disease. At this point (when patients have demonstrated progression of disease) a single target lesion will be selected and treated with SBRT, and then MK-3475 will be restarted and continued until there is further progression of disease. The first phase of the study is a radiation dose escalation with a constant dose of MK-3475. The second part of the study includes expansion cohorts of NSCLC and melanoma patients.

The aim of this study is to study T-cells. Blood will be collected and the samples will be used to generate T cell clones. Two separate blood draws will be required at the maximum.

This research will have a significant impact on the overall management of those cancer patients and their family members who are at risk for hereditary cancer due to germline inactivation of BAP1. Our study will ultimately facilitate the development of novel screening, prevention and treatment strategies for these individuals with the syndrome. Because the vast majority of UM develop in pre-existing nevi, characterization of individuals at high risk for development of UM will allow closer screening and earlier intervention which would improve the treatment outcome not only for retaining vision but also for overall survival. Similarly in patients with germline BAP1 mutation CM develops in premalignant atypical melanocytic lesions and careful follow up of these patients will improve the outcome of their disease. In addition this study could have impact on the management of patients with personal and/or family history of several other cancers reported in patients with germline BAP1 mutation such as mesothelioma, renal cell carcinoma, cholangiocarcinoma, hepatocellular carcinoma, meningioma and basal cell carcinoma.

This study will involve collecting information about the regular medical care you receive for large cutaneous melanocytic nevi (LCMN) or neurocutaneous melanocytosis (NCM).

This study is to compare 2D- and 3D-imaging and routine clinical care in early melanoma detection in a prospective large-scale real-world data set.