Low- and high-grade bladder cancer determination via human serum-based metabolomics approach

Navneeta Bansal, Ashish Gupta, Nilay Mitash, Prashant Singh Shakya, Anil Mandhani, Abbas Ali Mahdi, Satya Narain Sankhwar, Sudhir Kumar Mandal

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)5839-5850
Number of pages12
JournalJournal of proteome research
Volume12
Issue number12
DOIs
StatePublished - Dec 6 2013

Keywords

  • NMR spectroscopy
  • Urinary bladder cancer
  • serum metabolomics

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)

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  • Cite this

    Bansal, N., Gupta, A., Mitash, N., Shakya, P. S., Mandhani, A., Mahdi, A. A., Sankhwar, S. N., & Mandal, S. K. (2013). Low- and high-grade bladder cancer determination via human serum-based metabolomics approach. Journal of proteome research, 12(12), 5839-5850. https://doi.org/10.1021/pr400859w