Literature DB >> 16567169

Neuroblastoma detection using serum proteomic profiling: a novel mining technique for cancer?

John A Sandoval1, Lacey E Dobrolecki, Jeffrey Huang, Jay L Grosfeld, Robert J Hickey, Linda H Malkas.   

Abstract

BACKGROUND: Serum proteins in neuroblastoma (NB), such as neuron-specific enolase and lactate dehydrogenase, are used as nonspecific markers of disease severity. In this study, we have generated serum protein profiles that correlate with NB by applying proteomic technologies to uncover, at the protein level, serum polypeptide expression patterns in patients with NB.
METHODS: Surface-enhanced laser desorption/ionization-time-of-flight mass spectrometry was used to generate protein expression spectra in human NB (group I, n = 18) and healthy children (group II, n = 17) sera. Groups I and II mass spectral data were compared after baseline subtraction. Peaks with high signal-to-noise ratios were selected and grouped into bins with various intervals along mass-to-charge axis. Two-sample t test and 3-fold cross validation were used to identify differential biomarkers between groups I and II.
RESULTS: Significant differentially expressed proteins were identified between groups I and II (P < or = .05). The discriminatory features (proteomic patterns) of cancer from normal sera were successfully identified using the classification algorithm. The average classification performance after 3-fold cross validation was 87.26%.
CONCLUSION: Surface-enhanced laser desorption/ionization-time-of-flight mass spectrometry is suitable for preliminary assessment of NB and could potentially provide a noninvasive diagnosis of NB. We propose that surface-enhanced laser desorption/ionization provides a novel method for NB diagnosis because direct observations of spectral differences between normal and NB sera are possible.

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Mesh:

Year:  2006        PMID: 16567169     DOI: 10.1016/j.jpedsurg.2005.12.037

Source DB:  PubMed          Journal:  J Pediatr Surg        ISSN: 0022-3468            Impact factor:   2.545


  4 in total

1.  Proteomic analyses of the Xiphophorus Gordon-Kosswig melanoma model.

Authors:  Amy N Perez; Lee Oehlers; Shelia J Heater; Rachell E Booth; Ronald B Walter; Wendi M David
Journal:  Comp Biochem Physiol C Toxicol Pharmacol       Date:  2011-06-06       Impact factor: 3.228

2.  Serum protein profiling to identify high-risk neuroblastoma: preclinical relevance of blood-based biomarkers.

Authors:  John A Sandoval; Katharyn E Turner; Derek J Hoelz; Frederick J Rescorla; Robert J Hickey; Linda H Malkas
Journal:  J Surg Res       Date:  2007-08-29       Impact factor: 2.192

3.  Application of proteomics to soft tissue sarcomas.

Authors:  Tadashi Kondo; Daisuke Kubota; Akira Kawai
Journal:  Int J Proteomics       Date:  2012-06-19

Review 4.  Sample preparation for serum/plasma profiling and biomarker identification by mass spectrometry.

Authors:  Jose L Luque-Garcia; Thomas A Neubert
Journal:  J Chromatogr A       Date:  2006-12-12       Impact factor: 4.759

  4 in total

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