Matches in SemOpenAlex for { <https://semopenalex.org/work/W2023291765> ?p ?o ?g. }
- W2023291765 endingPage "5850" @default.
- W2023291765 startingPage "5839" @default.
- W2023291765 abstract "To address the shortcomings of urine cytology and cystoscopy for probing and grading urinary bladder cancer (BC), we applied 1H nuclear magnetic resonance (NMR) spectroscopy as a surrogate method for the identification of BC. This study includes 99 serum samples comprising low-grade (LG; n = 36) and high-grade (HG; n = 31) BC as well as healthy controls (HC; n = 32). 1H NMR-derived serum data were analyzed using orthogonal partial least-squares discriminant analysis (OPLS-DA). OPLS-DA-derived model validity was confirmed using an internal and external cross-validation. Internal validation was performed using the initial samples (n = 99) data set. External validation was performed on a new batch of suspected BC patients (n = 106) through a double-blind study. Receiver operating characteristic (ROC) curve analysis was also performed. OPLS-DA-derived serum metabolomics (six biomarkers, ROC; 0.99) were able to discriminate 95% of BC cases with 96% sensitivity and 94% specificity when compared to HC. Likewise (three biomarkers, ROC; 0.99), 98% of cases of LG were able to differentiate from HG with 97% sensitivity and 99% specificity. External validation reveals comparable results to the internal validation. 1H NMR-based serum metabolic screening appears to be a promising and less invasive approach for probing and grading BC in contrast to the highly invasive and painful cystoscopic approach for BC detection." @default.
- W2023291765 created "2016-06-24" @default.
- W2023291765 creator A5008157152 @default.
- W2023291765 creator A5014548378 @default.
- W2023291765 creator A5037355991 @default.
- W2023291765 creator A5042518019 @default.
- W2023291765 creator A5046149999 @default.
- W2023291765 creator A5060545654 @default.
- W2023291765 creator A5080840844 @default.
- W2023291765 creator A5081233224 @default.
- W2023291765 date "2013-11-18" @default.
- W2023291765 modified "2023-10-16" @default.
- W2023291765 title "Low- and High-Grade Bladder Cancer Determination via Human Serum-Based Metabolomics Approach" @default.
- W2023291765 cites W1565276921 @default.
- W2023291765 cites W172279490 @default.
- W2023291765 cites W1935679632 @default.
- W2023291765 cites W1971377349 @default.
- W2023291765 cites W1974711238 @default.
- W2023291765 cites W1974825668 @default.
- W2023291765 cites W1983617790 @default.
- W2023291765 cites W1983974557 @default.
- W2023291765 cites W1986517285 @default.
- W2023291765 cites W1988310576 @default.
- W2023291765 cites W1988484316 @default.
- W2023291765 cites W1990745503 @default.
- W2023291765 cites W1995298558 @default.
- W2023291765 cites W1995969944 @default.
- W2023291765 cites W1999258632 @default.
- W2023291765 cites W2001369426 @default.
- W2023291765 cites W2004253639 @default.
- W2023291765 cites W2007366438 @default.
- W2023291765 cites W2007889978 @default.
- W2023291765 cites W2010132608 @default.
- W2023291765 cites W2016295144 @default.
- W2023291765 cites W2024515893 @default.
- W2023291765 cites W2024927790 @default.
- W2023291765 cites W2032608305 @default.
- W2023291765 cites W2036573181 @default.
- W2023291765 cites W2046733360 @default.
- W2023291765 cites W2051955127 @default.
- W2023291765 cites W2053320596 @default.
- W2023291765 cites W2053517339 @default.
- W2023291765 cites W2054576973 @default.
- W2023291765 cites W2054807115 @default.
- W2023291765 cites W2058859313 @default.
- W2023291765 cites W2076099187 @default.
- W2023291765 cites W2078715766 @default.
- W2023291765 cites W2079565612 @default.
- W2023291765 cites W2083846015 @default.
- W2023291765 cites W2084362806 @default.
- W2023291765 cites W2086905232 @default.
- W2023291765 cites W2087687046 @default.
- W2023291765 cites W2087709358 @default.
- W2023291765 cites W2091074327 @default.
- W2023291765 cites W2094156327 @default.
- W2023291765 cites W2095940940 @default.
- W2023291765 cites W2098203054 @default.
- W2023291765 cites W2099694349 @default.
- W2023291765 cites W2107363389 @default.
- W2023291765 cites W2122500907 @default.
- W2023291765 cites W2124911115 @default.
- W2023291765 cites W2126909426 @default.
- W2023291765 cites W2128037770 @default.
- W2023291765 cites W2128569391 @default.
- W2023291765 cites W2128931679 @default.
- W2023291765 cites W2132759468 @default.
- W2023291765 cites W2133309292 @default.
- W2023291765 cites W2145867542 @default.
- W2023291765 cites W2146779833 @default.
- W2023291765 cites W2147603458 @default.
- W2023291765 cites W2148185578 @default.
- W2023291765 cites W2155680682 @default.
- W2023291765 cites W2165008981 @default.
- W2023291765 cites W2165517686 @default.
- W2023291765 cites W2168944801 @default.
- W2023291765 cites W2275614507 @default.
- W2023291765 cites W4250684226 @default.
- W2023291765 cites W4252832106 @default.
- W2023291765 doi "https://doi.org/10.1021/pr400859w" @default.
- W2023291765 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24219689" @default.
- W2023291765 hasPublicationYear "2013" @default.
- W2023291765 type Work @default.
- W2023291765 sameAs 2023291765 @default.
- W2023291765 citedByCount "51" @default.
- W2023291765 countsByYear W20232917652014 @default.
- W2023291765 countsByYear W20232917652015 @default.
- W2023291765 countsByYear W20232917652016 @default.
- W2023291765 countsByYear W20232917652017 @default.
- W2023291765 countsByYear W20232917652018 @default.
- W2023291765 countsByYear W20232917652019 @default.
- W2023291765 countsByYear W20232917652020 @default.
- W2023291765 countsByYear W20232917652021 @default.
- W2023291765 countsByYear W20232917652022 @default.
- W2023291765 countsByYear W20232917652023 @default.
- W2023291765 crossrefType "journal-article" @default.
- W2023291765 hasAuthorship W2023291765A5008157152 @default.
- W2023291765 hasAuthorship W2023291765A5014548378 @default.
- W2023291765 hasAuthorship W2023291765A5037355991 @default.