A Multi-Analyte Assay for the Non-Invasive Detection of Bladder Cancer
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{"title"=>"A Multi-Analyte Assay for the Non-Invasive Detection of Bladder Cancer", "type"=>"journal", "authors"=>[{"first_name"=>"Steve", "last_name"=>"Goodison", "scopus_author_id"=>"7004390605"}, {"first_name"=>"Myron", "last_name"=>"Chang", "scopus_author_id"=>"55693698500"}, {"first_name"=>"Yunfeng", "last_name"=>"Dai", "scopus_author_id"=>"35767443600"}, {"first_name"=>"Virginia", "last_name"=>"Urquidi", "scopus_author_id"=>"7004631963"}, {"first_name"=>"Charles J.", "last_name"=>"Rosser", "scopus_author_id"=>"7004226426"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84867663598", "doi"=>"10.1371/journal.pone.0047469", "issn"=>"19326203", "pui"=>"365883734", "isbn"=>"1932-6203", "pmid"=>"23094052", "scopus"=>"2-s2.0-84867663598"}, "id"=>"d47eef54-3930-3ea5-a51f-3a6fe10585ef", "abstract"=>"Accurate urinary assays for bladder cancer (BCa) detection would benefit both patients and healthcare systems. Through genomic and proteomic profiling of urine components, we have previously identified a panel of biomarkers that can outperform current urine-based biomarkers for the non-invasive detection of BCa. Herein, we report the diagnostic utility of various multivariate combinations of these biomarkers. We performed a case-controlled validation study in which voided urines from 127 patients (64 tumor bearing subjects) were analyzed. The urinary concentrations of 14 biomarkers (IL-8, MMP-9, MMP-10, SDC1, CCL18, PAI-1, CD44, VEGF, ANG, CA9, A1AT, OPN, PTX3, and APOE) were assessed by enzyme-linked immunosorbent assay (ELISA). Diagnostic performance of each biomarker and multivariate models were compared using receiver operating characteristic curves and the chi-square test. An 8-biomarker model achieved the most accurate BCa diagnosis (sensitivity 92%, specificity 97%), but a combination of 3 of the 8 biomarkers (IL-8, VEGF, and APOE) was also highly accurate (sensitivity 90%, specificity 97%). For comparison, the commercial BTA-Trak ELISA test achieved a sensitivity of 79% and a specificity of 83%, and voided urine cytology detected only 33% of BCa cases in the same cohort. These data show that a multivariate urine-based assay can markedly improve the accuracy of non-invasive BCa detection. Further validation studies are under way to investigate the clinical utility of this panel of biomarkers for BCa diagnosis and disease monitoring.", "link"=>"http://www.mendeley.com/research/multianalyte-assay-noninvasive-detection-bladder-cancer-1", "reader_count"=>16, "reader_count_by_academic_status"=>{"Researcher"=>6, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Other"=>2, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_user_role"=>{"Researcher"=>6, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Other"=>2, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Unspecified"=>1, "Biochemistry, Genetics and Molecular Biology"=>2, "Mathematics"=>1, "Medicine and Dentistry"=>5, "Agricultural and Biological Sciences"=>6}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>6}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "group_count"=>1}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/555516"], "description"=>"<p>∧, 4 subjects with concomitant cis had T1 (n = 2) and T2 (n = 2) disease.</p><p>∼, Subjects with T2 (n = 1), T3 ( = 1) and T4 (n = 1) disease and node positive.</p>", "links"=>[], "tags"=>["clinicopathologic", "characteristics"], "article_id"=>226010, "categories"=>["Cancer"], "users"=>["Steve Goodison", "Myron Chang", "Yunfeng Dai", "Virginia Urquidi", "Charles J. Rosser"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0047469.t001", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Demographic_and_clinicopathologic_characteristics_of_the_study_cohort_/226010", "title"=>"Demographic and clinicopathologic characteristics of the study cohort.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 21:26:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/555361"], "description"=>"<p>ROC curves were plotted to compare performance characteristics of the total 8-biomarker combination, a 3-biomarker combination (IL-8, VEGF, APOE), a 2-biomarker combination (VEGF, APOE), and the BTA-Trak test. Based on the area under the ROC curve (AUROC),Youden Index cutoff values that maximized the sum of sensitivity and specificity were determined for each biomarker (crossed square on curve). Table provides performance values for each combination. PPV, positive predictive value. NPV, negative predictive value.</p>", "links"=>[], "tags"=>["urinary", "biomarker"], "article_id"=>225858, "categories"=>["Cancer"], "users"=>["Steve Goodison", "Myron Chang", "Yunfeng Dai", "Virginia Urquidi", "Charles J. Rosser"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0047469.g001", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Diagnostic_performance_of_urinary_biomarker_combinations_/225858", "title"=>"Diagnostic performance of urinary biomarker combinations.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 21:25:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/555487"], "description"=>"*<p>Two-sided p-values obtained from Wilcoxon rank sum tests.</p>", "links"=>[], "tags"=>["median", "urinary", "levels", "14", "biomarkers", "assessed"], "article_id"=>225975, "categories"=>["Cancer"], "users"=>["Steve Goodison", "Myron Chang", "Yunfeng Dai", "Virginia Urquidi", "Charles J. Rosser"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0047469.t002", "stats"=>{"downloads"=>1, "page_views"=>41, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_and_median_urinary_levels_of_14_biomarkers_assessed_by_ELISA_/225975", "title"=>"Mean and median urinary levels of 14 biomarkers assessed by ELISA.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 21:26:22"}

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