Discovery of Novel Protein Biomarkers in Urine for Diagnosis of Urothelial Cancer Using iTRAQ Proteomics
Urothelial carcinoma (UC) is the ninth most prevalent malignancy worldwide. Noninvasive and efficient biomarkers with high accuracy are imperative for the surveillance and diagnosis of UC. CKD patients were enrolled as a control group in this study for the discovery of highly specific urinary protei...
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Veröffentlicht in: | Journal of proteome research 2021-05, Vol.20 (5), p.2953-2963 |
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creator | Chen, Chao-Jung Chou, Che-Yi Shu, Kuo-Hsiung Chen, Hung-Chun Wang, Ming-Cheng Chang, Chia-Chu Hsu, Bang-Gee Wu, Mai-Szu Yang, Yuan-Lung Liao, Wen-Ling Yang, Chieh Hsiao, Yu-Tien Huang, Chiu-Ching |
description | Urothelial carcinoma (UC) is the ninth most prevalent malignancy worldwide. Noninvasive and efficient biomarkers with high accuracy are imperative for the surveillance and diagnosis of UC. CKD patients were enrolled as a control group in this study for the discovery of highly specific urinary protein markers of UC. An iTRAQ-labeled quantitative proteomic approach was used to discover novel potential markers. These markers were further validated with 501 samples by ELISA assay, and their diagnostic accuracies were compared to those of other reported UC markers. BRDT, CYBP, GARS, and HDGF were identified as novel urinary UC biomarkers with a high discrimination ability in a population comprising CKD and healthy subjects. The diagnostic values of the four novel UC markers were better than that of a panel of well-known or FDA-approved urinary protein markers CYFR21.1, Midkine, and NUMA1. Three of our discovered markers (BRDT, HDGF, GARS) and one well-known marker (CYFR21.1) were finally selected and combined as a marker panel having AUC values of 0.962 (95% CI, 0.94–0.98) and 0.860 (95% CI, 0.83–0.89) for the discrimination between UC and normal groups and UC and control (healthy + CKD) groups, respectively. |
doi_str_mv | 10.1021/acs.jproteome.1c00164 |
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Noninvasive and efficient biomarkers with high accuracy are imperative for the surveillance and diagnosis of UC. CKD patients were enrolled as a control group in this study for the discovery of highly specific urinary protein markers of UC. An iTRAQ-labeled quantitative proteomic approach was used to discover novel potential markers. These markers were further validated with 501 samples by ELISA assay, and their diagnostic accuracies were compared to those of other reported UC markers. BRDT, CYBP, GARS, and HDGF were identified as novel urinary UC biomarkers with a high discrimination ability in a population comprising CKD and healthy subjects. The diagnostic values of the four novel UC markers were better than that of a panel of well-known or FDA-approved urinary protein markers CYFR21.1, Midkine, and NUMA1. Three of our discovered markers (BRDT, HDGF, GARS) and one well-known marker (CYFR21.1) were finally selected and combined as a marker panel having AUC values of 0.962 (95% CI, 0.94–0.98) and 0.860 (95% CI, 0.83–0.89) for the discrimination between UC and normal groups and UC and control (healthy + CKD) groups, respectively.</description><identifier>ISSN: 1535-3893</identifier><identifier>EISSN: 1535-3907</identifier><identifier>DOI: 10.1021/acs.jproteome.1c00164</identifier><identifier>PMID: 33780252</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><ispartof>Journal of proteome research, 2021-05, Vol.20 (5), p.2953-2963</ispartof><rights>2021 American Chemical Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a351t-18c1e5d8739ffb9aed8cb87737db228fe57b54ae4e99b2255d7accff2c423a0f3</citedby><cites>FETCH-LOGICAL-a351t-18c1e5d8739ffb9aed8cb87737db228fe57b54ae4e99b2255d7accff2c423a0f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.1c00164$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.jproteome.1c00164$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33780252$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Chao-Jung</creatorcontrib><creatorcontrib>Chou, Che-Yi</creatorcontrib><creatorcontrib>Shu, Kuo-Hsiung</creatorcontrib><creatorcontrib>Chen, Hung-Chun</creatorcontrib><creatorcontrib>Wang, Ming-Cheng</creatorcontrib><creatorcontrib>Chang, Chia-Chu</creatorcontrib><creatorcontrib>Hsu, Bang-Gee</creatorcontrib><creatorcontrib>Wu, Mai-Szu</creatorcontrib><creatorcontrib>Yang, Yuan-Lung</creatorcontrib><creatorcontrib>Liao, Wen-Ling</creatorcontrib><creatorcontrib>Yang, Chieh</creatorcontrib><creatorcontrib>Hsiao, Yu-Tien</creatorcontrib><creatorcontrib>Huang, Chiu-Ching</creatorcontrib><title>Discovery of Novel Protein Biomarkers in Urine for Diagnosis of Urothelial Cancer Using iTRAQ Proteomics</title><title>Journal of proteome research</title><addtitle>J. Proteome Res</addtitle><description>Urothelial carcinoma (UC) is the ninth most prevalent malignancy worldwide. Noninvasive and efficient biomarkers with high accuracy are imperative for the surveillance and diagnosis of UC. CKD patients were enrolled as a control group in this study for the discovery of highly specific urinary protein markers of UC. An iTRAQ-labeled quantitative proteomic approach was used to discover novel potential markers. These markers were further validated with 501 samples by ELISA assay, and their diagnostic accuracies were compared to those of other reported UC markers. BRDT, CYBP, GARS, and HDGF were identified as novel urinary UC biomarkers with a high discrimination ability in a population comprising CKD and healthy subjects. The diagnostic values of the four novel UC markers were better than that of a panel of well-known or FDA-approved urinary protein markers CYFR21.1, Midkine, and NUMA1. Three of our discovered markers (BRDT, HDGF, GARS) and one well-known marker (CYFR21.1) were finally selected and combined as a marker panel having AUC values of 0.962 (95% CI, 0.94–0.98) and 0.860 (95% CI, 0.83–0.89) for the discrimination between UC and normal groups and UC and control (healthy + CKD) groups, respectively.</description><issn>1535-3893</issn><issn>1535-3907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkF1PwyAUhonRuDn9CRouvemEUqS9nJtfyeJXtuuG0sPGbMuE1WT_XmY3b73iQJ73JedB6JKSISUxvZHKD1drZzdgaxhSRQi9TY5Qn3LGI5YRcXyY04z10Jn3q4BwQdgp6jEmUhLzuI-WE-OV_Qa3xVbjlzBV-G3Xahp8Z2wt3Sc4j8Nt7kwDWFuHJ0YuGuuN30XmAV5CZWSFx7JR4PDcm2aBzexj9N5V2doof45OtKw8XOzPAZo_3M_GT9H09fF5PJpGknG6iWiqKPAyFSzTusgklKkqUiGYKIs4TjVwUfBEQgJZFh44L4VUSutYJTGTRLMBuu56g5uvFvwmr8OGUFWyAdv6POZE0EQIwgPKO1Q5670Dna-dCRtvc0ryneQ8SM7_JOd7ySF3tf-iLWoo_1IHqwGgHfCbt61rwsb_lP4AjKqOhg</recordid><startdate>20210507</startdate><enddate>20210507</enddate><creator>Chen, Chao-Jung</creator><creator>Chou, Che-Yi</creator><creator>Shu, Kuo-Hsiung</creator><creator>Chen, Hung-Chun</creator><creator>Wang, Ming-Cheng</creator><creator>Chang, Chia-Chu</creator><creator>Hsu, Bang-Gee</creator><creator>Wu, Mai-Szu</creator><creator>Yang, Yuan-Lung</creator><creator>Liao, Wen-Ling</creator><creator>Yang, Chieh</creator><creator>Hsiao, Yu-Tien</creator><creator>Huang, Chiu-Ching</creator><general>American Chemical Society</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20210507</creationdate><title>Discovery of Novel Protein Biomarkers in Urine for Diagnosis of Urothelial Cancer Using iTRAQ Proteomics</title><author>Chen, Chao-Jung ; Chou, Che-Yi ; Shu, Kuo-Hsiung ; Chen, Hung-Chun ; Wang, Ming-Cheng ; Chang, Chia-Chu ; Hsu, Bang-Gee ; Wu, Mai-Szu ; Yang, Yuan-Lung ; Liao, Wen-Ling ; Yang, Chieh ; Hsiao, Yu-Tien ; Huang, Chiu-Ching</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a351t-18c1e5d8739ffb9aed8cb87737db228fe57b54ae4e99b2255d7accff2c423a0f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Chao-Jung</creatorcontrib><creatorcontrib>Chou, Che-Yi</creatorcontrib><creatorcontrib>Shu, Kuo-Hsiung</creatorcontrib><creatorcontrib>Chen, Hung-Chun</creatorcontrib><creatorcontrib>Wang, Ming-Cheng</creatorcontrib><creatorcontrib>Chang, Chia-Chu</creatorcontrib><creatorcontrib>Hsu, Bang-Gee</creatorcontrib><creatorcontrib>Wu, Mai-Szu</creatorcontrib><creatorcontrib>Yang, Yuan-Lung</creatorcontrib><creatorcontrib>Liao, Wen-Ling</creatorcontrib><creatorcontrib>Yang, Chieh</creatorcontrib><creatorcontrib>Hsiao, Yu-Tien</creatorcontrib><creatorcontrib>Huang, Chiu-Ching</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of proteome research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Chao-Jung</au><au>Chou, Che-Yi</au><au>Shu, Kuo-Hsiung</au><au>Chen, Hung-Chun</au><au>Wang, Ming-Cheng</au><au>Chang, Chia-Chu</au><au>Hsu, Bang-Gee</au><au>Wu, Mai-Szu</au><au>Yang, Yuan-Lung</au><au>Liao, Wen-Ling</au><au>Yang, Chieh</au><au>Hsiao, Yu-Tien</au><au>Huang, Chiu-Ching</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Discovery of Novel Protein Biomarkers in Urine for Diagnosis of Urothelial Cancer Using iTRAQ Proteomics</atitle><jtitle>Journal of proteome research</jtitle><addtitle>J. Proteome Res</addtitle><date>2021-05-07</date><risdate>2021</risdate><volume>20</volume><issue>5</issue><spage>2953</spage><epage>2963</epage><pages>2953-2963</pages><issn>1535-3893</issn><eissn>1535-3907</eissn><abstract>Urothelial carcinoma (UC) is the ninth most prevalent malignancy worldwide. Noninvasive and efficient biomarkers with high accuracy are imperative for the surveillance and diagnosis of UC. CKD patients were enrolled as a control group in this study for the discovery of highly specific urinary protein markers of UC. An iTRAQ-labeled quantitative proteomic approach was used to discover novel potential markers. These markers were further validated with 501 samples by ELISA assay, and their diagnostic accuracies were compared to those of other reported UC markers. BRDT, CYBP, GARS, and HDGF were identified as novel urinary UC biomarkers with a high discrimination ability in a population comprising CKD and healthy subjects. The diagnostic values of the four novel UC markers were better than that of a panel of well-known or FDA-approved urinary protein markers CYFR21.1, Midkine, and NUMA1. Three of our discovered markers (BRDT, HDGF, GARS) and one well-known marker (CYFR21.1) were finally selected and combined as a marker panel having AUC values of 0.962 (95% CI, 0.94–0.98) and 0.860 (95% CI, 0.83–0.89) for the discrimination between UC and normal groups and UC and control (healthy + CKD) groups, respectively.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>33780252</pmid><doi>10.1021/acs.jproteome.1c00164</doi><tpages>11</tpages></addata></record> |
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title | Discovery of Novel Protein Biomarkers in Urine for Diagnosis of Urothelial Cancer Using iTRAQ Proteomics |
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