Bladder Cancer Clinical Trial
Official title:
Treatment Of Metastatic Bladder Cancer at the Time Of Biochemical reLApse Following Radical Cystectomy
Immunotherapy (checkpoint inhibitors) is approved as first and second line treatment to patients with metastatic bladder cancer. However, response rates are low and no biomarkers have yet shown strong predictive value for patient selection. Moreover, the term 'metastatic' is based on metastases visible on conventional CT scans and, thus, require a certain size of tumour load. Clinical trials are currently being conducted that investigate the use of adjuvant immunotherapy for this group of patients (treatment to all), which will result in massive over-treatment and huge costs to the healthcare system. This project has the primary objective to identify new indications for initiating immunotherapy in patients with metastatic bladder cancer. Sensitive molecular techniques for detection of tumor DNA in the blood will be used to identify patients with early signs of metastatic disease. In addition, comprehensive biomarker analysis will be performed to identify predictors of treatment response.
The study aim at investigate the response rate and oncological outcome of systemic immunotherapy (PDL-1 inhibitor; atezolizumab) administered early at the time of biochemical relapse (circulating tumor DNA (ctDNA) positive) in patients who have undergone radical cystectomy because of muscle invasive bladder cancer. Biomarkers that predict response to systemic immunotherapy will be identified by comprehensive multi-omics analysis of primary tumors and metastatic lesions. Furthermore, we will determine if ctDNA levels during therapy can be used as a biomarker for early indication of therapy response. The hypotheses is that 1) early initiation of immunotherapy in high-risk (ctDNA positive) patients will result in better response rates and improved survival compared to later treatment following conventional imaging diagnosis of metastasis, and 2) biomarkers for predicting response can be identified and used for tailoring treatment regimens in the future to patients at high risk and at high likelihood of response. ;
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