View clinical trials related to Kidney Neoplasms.
Filter by:The purpose of this trial is to evaluate the technical success and safety profile of the HistoSonics Investigational System for the treatment of primary solid renal tumors.
Exploratory interventional study of prognostic serum biomarkers of cancer progression. Study of the relationship between the blood levels of soluble PDL1 and β2-microglobulin, and the clinical course of a metastatic solid tumor treated with a first-line therapeutic of checkpoint immune inhibitor.
This is a phase I clinical study to evaluate the safety and tolerability of CAR-T in patients with advanced/metastatic renal cell carcinoma, and to obtain the maximum tolerated dose of CAR-T and phase II Recommended dose.
This research study involves a combination of three drugs given together as a possible treatment for malignant rhabdoid tumor, atypical teratoid rhabdoid tumor, epithelioid sarcoma, chordoma or other tumors that are deficient in one of two possible proteins, either INI-1 (SMARCB1) or SMARCA4. The names of the study drugs involved in this study are: - Tazemetostat (TAZVERIK) - Nivolumab (OPDIVO) - Ipilimumab (YERVOY)
The main objective is to prospectively assess the impact of low insufflation pressure using AirSeal system (7mm Hg) during RAPN on post-operative patient pain (main location and intensity), 24 hours after surgery. The study will be conducted among 15 centers of the French research network on kidney cancer UroCCR.
The Marathon of Hope Cancer Centres Network (MOHCCN) is a national network of cancer centres that pursue collaborative cancer research in precision medicine (an emerging approach for disease treatment and prevention that considers individual variability in DNA, environment and lifestyle) to accelerate the discovery of innovations and improve the health outcomes for cancer patients
Urothelial carcinomas of the lower and upper urinary tract can be considered "twin diseases". Much of the current clinical decision-making surrounding Upper Tract Urothelial Carcinoma (UTUC) is extrapolated from evidence that is based on urothelial carcinoma of bladder patients. The inner wall of the bladder is coated with a substance called glycosaminoglycan (GAG). GAG is known to form a gel-like layer on the apical cell membrane and act as a barrier against urine and pathogens in the lower urinary tract. Currently no published research on the presence of a GAG layer in the upper urinary tract exists. However, literature suggests that the ureteral utothelium can be transduced without enhancers, and the ureteral urothelium may be intrinsically different from bladder, both by the presence or absence of a GAG-layer, by different composition/thickness of the GAG-layer. Any functional differences between the urothelial layers in the bladder and in the upper urinary tract may affect the adeno-virus transduction, which again will have potential impact on future treatment of UTUC patients with a current unmet medical need.
The objective of this study is to understand how patients make decisions about treating their kidney masses, and to identify key values and preferences for treating their kidney masses. The study team will develop a decision aid (DA) using the decision-analytic model to communicate personalized benefit/harm estimates to patients and promote patient-centered treatment of renal tumors.
The purpose of this study is to determine if the novel TR approach is superior to the standard RP approach. The anticipated study outcome is a time saving of at least 30% from first skin incision to detection of the renal artery compared to the conventional RP approach, and also a better workspace perception by the operating surgeon.
This is an observational case-control study to train and validate a genome-wide methylome enrichment platform to detect multiple cancer types and to differentiate amongst cancer types. The cancers included in this study are brain, breast, bladder, cervical, colorectal, endometrial, esophageal, gastric, head and neck, hepatobiliary, leukemia, lung, lymphoma, multiple myeloma, ovarian, pancreatic, prostate, renal, sarcoma, and thyroid. These cancers were selected based on their prevalence and mortality to maximize impact on clinical care. Additionally, the ability of the whole-genome methylome enrichment platform to detect minimal residual disease after completion of cancer treatment and to detect relapse prior to clinical presentation will be evaluated in four cancer types (breast, colorectal, lung, prostate). These cancers were selected based on the existing clinical landscape and treatment availability.