Supplementary Table S2 from Development and Validation of Urine-based Peptide Biomarker Panels for Detecting Bladder Cancer in a Multi-center Study Article Swipe

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Maria Frantzi , Kim E. van Kessel , Ellen C. Zwarthoff , Mirari Márquez , Marta Rava , Núria Malats , Axel S. Merseburger , Ioannis Katafigiotis , Konstantinos Stravodimos , William Mullen , Jérôme Zoidakis , Manousos Makridakis , Martin Pejchinοvski , Elena Critselis , Ralph Lichtinghagen , Korbinian Brand , Mohammed Dakna , Maria G. Roubelakis , Dan Theodorescu , Antonia Vlahou , Harald Mischak , Nicholas P. Anagnou ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1158/1078-0432.22454477

Supplementary Table S2. Clinical and demographical data for the urine samples (n= 636) from recurrent UBC patients, categorized in the discovery (n=425) and validation phase (n=211). The distribution of the patients which previously received additional treatment in the discovery and validation set is also shown (n=371 patients).

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Urine Biomarker discovery Biomarker Table (database) Bladder cancer Medicine Oncology Internal medicine Cancer Computer science Data mining Chemistry Proteomics Gene Biochemistry

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Type: supplementary-materials
Language: en
Landing Page: https://doi.org/10.1158/1078-0432.22454477
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OpenAlex ID: https://openalex.org/W4362396823

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Title: Supplementary Table S2 from Development and Validation of Urine-based Peptide Biomarker Panels for Detecting Bladder Cancer in a Multi-center Study

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Language: en

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Publication year: 2023

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Publication date: 2023-03-31

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Authors: Maria Frantzi, Kim E. van Kessel, Ellen C. Zwarthoff, Mirari Márquez, Marta Rava, Núria Malats, Axel S. Merseburger, Ioannis Katafigiotis, Konstantinos Stravodimos, William Mullen, Jérôme Zoidakis, Manousos Makridakis, Martin Pejchinοvski, Elena Critselis, Ralph Lichtinghagen, Korbinian Brand, Mohammed Dakna, Maria G. Roubelakis, Dan Theodorescu, Antonia Vlahou, Harald Mischak, Nicholas P. Anagnou

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Concepts: Urine, Biomarker discovery, Biomarker, Table (database), Bladder cancer, Medicine, Oncology, Internal medicine, Cancer, Computer science, Data mining, Chemistry, Proteomics, Gene, Biochemistry

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