malignant-adenoma Clinical Trials
A listing of malignant-adenoma medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 1,469 clinical trials
A Study to Find a Suitable Dose of ASP5834 in Adults With Solid Tumors
Genes contain genetic code which tell the body which proteins to make. Many types of cancer are caused by changes, or mutations, in a gene called KRAS. Researchers are looking for ways to stop the actions of abnormal proteins made from the mutated KRAS gene. ASP5834 is being studied in …
A Study to Learn About the Study Medicine Called PF-08046876 in People With Advanced Solid Tumors
The purpose of the study is to explore the safety and effects of the study drug (PF-08046876) in people diagnosed with advanced cancer of the bladder, lung, head and neck, esophagus, or pancreas. PF-08046876 is an investigational anticancer therapy called an 'antibody drug conjugate' or 'ADC'. ADCs are anticancer drugs …
Renal Adjuvant MultiPle Arm Randomised Trial
RATIONALE: The current global standard of care after nephrectomy for localised RCC therefore remains active monitoring (i.e., observation by clinical and radiological means). 30-40% patients with initially localised RCC develop metastatic disease following nephrectomy. Need for adjuvant therapy is most marked in the high risk population where outcomes are predictably …
A Study of Disitamab Vedotin With Other Anticancer Drugs in Solid Tumors
This clinical trial is studying solid tumor cancers. A solid tumor is one that starts in part of your body like your lungs or liver instead of your blood. Once they've grown bigger in one spot or spread to other parts of the body, they're harder to treat. This is …
A Prospective, Multi-center, Observational Study for Signal-C Test Evaluation
To evaluate the performance characteristics of Signal-C™ a plasma circulating free-DNA test, to detect colorectal cancer and advanced precancerous lesions (APL) in an average risk screening population for 45 and over.
Substudy 03C: A Study of Combination Therapies in Participants With Renal Cell Carcinoma With Recurrent Disease During or After Anti-PD-(L)1 Therapy (MK-3475-03C/KEYMAKER-U03)
Substudy 03C is part of a larger research study that is testing experimental treatments for renal cell carcinoma (RCC). The larger study is the umbrella study (U03). The goal of substudy 03C is to evaluate the safety and efficacy of experimental combinations of investigational agents in participants with clear cell …
Testing the Addition of the Anti-Cancer Drug Tivozanib to Immunotherapy (Pembrolizumab) After Surgery to Remove All Known Sites of Kidney Cancer
This phase III trial compares the effect of adding tivozanib to standard therapy pembrolizumab versus pembrolizumab alone for the treatment of patients with high-risk renal cell carcinoma (RCC). Immunotherapy with monoclonal antibodies, such as pembrolizumab, may help the body's immune system attack the cancer, and may interfere with the ability …
A First-in-Human Study of BMS-986506 in Participants With Advanced Clear Cell Renal Cell Carcinoma (ccRCC)
This is a first-in-human study of BMS-986506 in participants with advanced Clear Cell Renal Cell Carcinoma (ccRCC). The primary objective of this study is to find out if BMS-986506 is safe and can be tolerated when taken alone by participants with ccRCC.
A Clinical Study of Belzutifan and Zanzalintinib in People With Recurrent Kidney Cancer Following Adjuvant Therapy (MK-6482-033)
Researchers are looking for more ways to treat advanced renal cell carcinoma (RCC) that is recurrent. Researchers want to learn if recurrent advanced renal cell carcinoma (RCC) responds (gets smaller or goes away) after treatment with belzutifan (MK-6482) and zanzalintinib compared to cabozantinib. The goal of this study is to …
Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)
This study aims to preoperatively predict DFS of patients with localised ccRCC using a deep learning prognostic model based on enhanced contrast CT images, validate it's predictive ability in multicentre data and compare it's predictive ability with traditional models.
