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.v1

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

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Type: supplementary-materials
Language: en
Landing Page: https://doi.org/10.1158/1078-0432.22454477.v1
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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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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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Landing page: https://doi.org/10.1158/1078-0432.22454477.v1

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

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abstract_inverted_index.(n=211).	25
abstract_inverted_index.Clinical	3
abstract_inverted_index.patients	30
abstract_inverted_index.received	33
abstract_inverted_index.discovery	20, 38
abstract_inverted_index.patients,	16
abstract_inverted_index.recurrent	14
abstract_inverted_index.treatment	35
abstract_inverted_index.additional	34
abstract_inverted_index.previously	32
abstract_inverted_index.validation	23, 40
abstract_inverted_index.categorized	17
abstract_inverted_index.distribution	27
abstract_inverted_index.demographical	5
abstract_inverted_index.patients).</p>	46
abstract_inverted_index.<p>Supplementary	0
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	22
sustainable_development_goals[0].id	https://metadata.un.org/sdg/3
sustainable_development_goals[0].score	0.4699999988079071
sustainable_development_goals[0].display_name	Good health and well-being
citation_normalized_percentile.value	0.08374112
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False