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Biofluid diagnostics by FTIR spectroscopy: A platform technology for cancer detection.

Fourier Transform Infrared Spectroscopy (FTIR) has been largely employed by scientific researchers to improve diagnosis and treatment of cancer, using various biofluids and tissues. The technology has proved to be easy to use, rapid and cost-effective for analysis on human blood serum to discriminat...

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Published in:Cancer Letters Vol. 477; pp. 122 - 131
Main Authors: Sala, Alexandra, Anderson, David J., Brennan, Paul M., Butler, Holly J., Cameron, James M., Jenkinson, Michael D., Rinaldi, Christopher, Theakstone, Ashton G., Baker, Matthew J.
Format: research Journal Article
Published: Elsevier B.V. May2020
Online Access:View this record in EBSCOhost
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      jtl: Cancer Letters
      issn: 03043835
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      dt: May2020
      vid: 477
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      pub: Elsevier B.V.
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        10.1016/j.canlet.2020.02.020
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        atl: Biofluid diagnostics by FTIR spectroscopy: A platform technology for cancer detection.
      aug:
        au:
          Sala, Alexandra
          Anderson, David J.
          Brennan, Paul M.
          Butler, Holly J.
          Cameron, James M.
          Jenkinson, Michael D.
          Rinaldi, Christopher
          Theakstone, Ashton G.
          Baker, Matthew J.
        affil: WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK
      sug:
        subj:
          Neoplasms Diagnosis
          Body Fluids
          Spectrophotometry, Infrared Methods
          Brain Neoplasms Diagnosis
          Clinical Trials
          Human
          Algorithms
          Blood Specimen Collection
          Sensitivity and Specificity
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Scales
      ab: Fourier Transform Infrared Spectroscopy (FTIR) has been largely employed by scientific researchers to improve diagnosis and treatment of cancer, using various biofluids and tissues. The technology has proved to be easy to use, rapid and cost-effective for analysis on human blood serum to discriminate between cancer versus healthy control samples. The high sensitivity and specificity achievable during samples classification aided by machine learning algorithms, offers an opportunity to transform cancer referral pathways, as it has been demonstrated in a unique and recent prospective clinical validation study on brain tumours. We herein highlight the importance of early detection in cancer research using FTIR, discussing the technique, the suitability of serum for analysis and previous studies, with special focus on pre-clinical factors and clinical translation requirements and development.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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