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Cited by 200

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Noninvasive Urinary Metabonomic Diagnosis of Human Bladder Cancer

Pasikanti, Kishore Kumar, Esuvaranathan, Kesavan, Ho, Paul C., Mahendran, Ratha, Kamaraj, Revathi, Wu, Qing Hui, Chiong, Edmund, Chan, Eric Chun Yong·2010·Journal of Proteome Research

Abstract

Cystoscopy is considered the gold standard for the clinical diagnosis of human bladder cancer (BC). As cystoscopy is expensive and invasive, it may compromise patients' compliance and account for the failure in detecting recurrent BC in some patients. In this paper, we investigated the role of urinary metabonomics in the diagnosis of human BC. Gas chromatography/time-of-flight mass spectrometry was applied for the urinary metabolic profiling of 24 BC patients and 51 non-BC controls. The acquired data were analyzed using multivariate principal component analysis followed by orthogonal partial least-squares discriminant analysis (OPLS-DA). Model validity was verified using permutation tests and receiver operating characteristic (ROC) analysis. BC patients were clearly distinguished from non-BC subjects based on their global urinary metabolic profiles (OPLS-DA, 4 latent variables, R(2)X = 0.420, R(2)Y = 0.912 and Q(2) (cumulative) = 0.245; ROC AUC of 0.90; 15 marker metabolites). One-hundred percent sensitivity in detecting BC was observed using urinary metabonomics versus 33% sensitivity achieved by urinary cytology. Additionally, urinary metabonomics exhibited potential in the staging and grading of bladder tumors. In summary, urinary metabonomics is amenable for the noninvasive diagnosis of human BC.

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Metadata

Authors
Pasikanti, K. K., Esuvaranathan, K., Ho, P. C., Mahendran, R., Kamaraj, R., Wu, Q. H., Chiong, E., & Chan, E. C. Y.
Venue
Journal of Proteome Research
Published
2010-04-26
Volume
9
Issue
6
Pages
2988-2995
ISSN
  • 1535-3893 (ISSN-L)
  • 1535-3907
OpenAlex
W2084362806
Cited by
200
References
1
FWCI
7.56
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Noninvasive Urinary Metabonomic Diagnosis of Human Bladder Cancer. https://app.cochat.ai/papers/10.1021/pr901173v
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Pasikanti, K. K., Esuvaranathan, K., Ho, P. C., Mahendran, R., Kamaraj, R., Wu, Q. H., Chiong, E., & Chan, E. C. Y. (2010). Noninvasive Urinary Metabonomic Diagnosis of Human Bladder Cancer. Journal of Proteome Research. https://doi.org/10.1021/pr901173v

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.