Brain tumour differentiation : rapid stratified serum diagnostics via attenuated total reflection Fourier-transform infrared spectroscopy

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Hands, James R. and Clemens, Graeme and Stables, Ryan and Ashton, Katherine and Brodbelt, Andrew and Davis, Charles and Dawson, Timothy P. and Jenkinson, Michael D. and Lea, Robert W. and Walker, Carol and Baker, Matthew J. (2016) Brain tumour differentiation : rapid stratified serum diagnostics via attenuated total reflection Fourier-transform infrared spectroscopy. Journal of Neuro-Oncology, 127. 463–472. ISSN 1573-7373 (https://doi.org/10.1007/s11060-016-2060-x)

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Abstract

The ability to diagnose cancer rapidly with high sensitivity and specificity is essential to exploit advances in new treatments to lead significant reductions in mortality and morbidity. Current cancer diagnostic tests observing tissue architecture and specific protein expression for specific cancers suffer from inter-observer variability, poor detection rates and occur when the patient is symptomatic. A new method for the detection of cancer using 1 μl of human serum, attenuated total reflection—Fourier transform infrared spectroscopy and pattern recognition algorithms is reported using a 433 patient dataset (3897 spectra). To the best of our knowledge, we present the largest study on serum mid-infrared spectroscopy for cancer research. We achieve optimum sensitivities and specificities using a Radial Basis Function Support Vector Machine of between 80.0 and 100 % for all strata and identify the major spectral features, hence biochemical components, responsible for the discrimination within each stratum. We assess feature fed-SVM analysis for our cancer versus non-cancer model and achieve 91.5 and 83.0 % sensitivity and specificity respectively. We demonstrate the use of infrared light to provide a spectral signature from human serum to detect, for the first time, cancer versus non-cancer, metastatic cancer versus organ confined, brain cancer severity and the organ of origin of metastatic disease from the same sample enabling stratified diagnostics depending upon the clinical question asked.

ORCID iDs

Hands, James R., Clemens, Graeme, Stables, Ryan, Ashton, Katherine, Brodbelt, Andrew, Davis, Charles, Dawson, Timothy P., Jenkinson, Michael D., Lea, Robert W., Walker, Carol and Baker, Matthew J. ORCID logoORCID: https://orcid.org/0000-0003-2362-8581;
  • Item type:Article
    ID code:55733
    Dates:
    Date
    Event
    31 May 2016
    Published
    13 February 2016
    Published Online
    22 January 2016
    Accepted
    Subjects:Medicine
    Department:Faculty of Science > Pure and Applied Chemistry
    Depositing user: Pure Administrator
    Date deposited:02 Mar 2016 10:16
    Last modified:18 Nov 2024 01:09
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/55733
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