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      Circulating and urinary tumour DNA in urothelial carcinoma — upper tract, lower tract and metastatic disease

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          Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial.

          Patients with metastatic urothelial carcinoma have few treatment options after failure of platinum-based chemotherapy. In this trial, we assessed treatment with atezolizumab, an engineered humanised immunoglobulin G1 monoclonal antibody that binds selectively to programmed death ligand 1 (PD-L1), in this patient population.
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            Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer

            We report a comprehensive analysis of 412 muscle-invasive bladder cancers characterized by multiple TCGA analytical platforms. Fifty-eight genes were significantly mutated, and the overall mutational load was associated with APOBEC-signature mutagenesis. Clustering by mutation signature identified a high-mutation subset with 75% 5-year survival. mRNA expression clustering refined prior clustering analyses and identified a poor-survival "neuronal" subtype in which the majority of tumors lacked small cell or neuroendocrine histology. Clustering by mRNA, long non-coding RNA (lncRNA), and miRNA expression converged to identify subsets with differential epithelial-mesenchymal transition status, carcinoma in situ scores, histologic features, and survival. Our analyses identified 5 expression subtypes that may stratify response to different treatments.
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              Liquid biopsies come of age: towards implementation of circulating tumour DNA

              Circulating tumour DNA (ctDNA) analysis has the potential to improve prognostication, molecular profiling and disease monitoring in patients with cancer. This Review summarizes recent advances, potential applications in cancer research and personalized oncology, and the introduction of ctDNA into clinical use.
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                Author and article information

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                Journal
                Nature Reviews Urology
                Nat Rev Urol
                Springer Science and Business Media LLC
                1759-4812
                1759-4820
                March 28 2023
                Article
                10.1038/s41585-023-00725-2
                36977797
                1fb2eae9-2236-4886-a210-f5765d540103
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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