View clinical trials related to Stage III Renal Cell Cancer.
Filter by:This phase II trial studies how well Ataxia telangiectasia and Rad3-related (ATR) kinase inhibitor AZD6738 works alone or in combination with olaparib or durvalumab in treating participants with renal cell carcinoma (RCC), urothelial carcinoma, all pancreatic cancers, endometrial cancer, and other solid tumors excluding clear cell ovarian cancer that have spread to nearby tissue or lymph nodes or other parts of the body. ATR kinase inhibitor AZD6738 and olaparib or durvalumab may stop the growth of tumor cells by blocking some of the enzymes needed for cell growth. It is not known if giving ATR kinase inhibitor AZD6738 with or without olaparib or durvalumab may work better in treating participants with solid tumors.
Generally, in the trials, an observant patient is described as correctly taking 90 to 100% of the prescribed doses. Here, the 80% compliance rate will be the cut-off between observant and non-observant patients. The evaluation methodology is based primarily on a survey of patients with metastatic or locally advanced kidney cancer who have just began an oral treatment protocol. The constitution of this cohort will be made from newly treated patients included by oncologists. The survey consists of implementing a series of questionnaires with each patient of the sample throughout the course of oral cancer care. This series of questionnaires will aim to identify: - the gradient of compliance of the patient with his treatment, - all the factors likely to influence positively or negatively the latter, whether medical, material or socio-economic, - the evolution of patient compliance during their treatment course, - a patient's quality of life index through the standardized quality of life survey form (EORTC - Quality of Life Questionnaire QLQ C30 version 3). - These questionnaires will be supplemented by the medical record data (including information on tolerance and possible drug interactions). The representativeness of the patients surveyed will be established by comparing the statistical characteristics of the surveyed population with those of the aggregate anonymous global data obtained by the two Medical Department of the French Regional Health Insurance of the two regions. From the data compiled by this study, different econometric models of patient behavior will seek to establish, in particular, a relationship between the probability that a given patient will be either non or poorly observant and the various variables proved to be statistically significant.