Abstract
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.
Original language | English |
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Pages (from-to) | 122-130 |
Number of pages | 9 |
Journal | Cancer Letters |
Volume | 477 |
Early online date | 26 Feb 2020 |
DOIs | |
Publication status | Published - 1 May 2020 |
Funding
The authors would like to thank the EPSRC ( EP/L505080/1 ), Scottish Enterprise and ClinSpec Diagnostics Ltd for funding.
Keywords
- ATR-FTIR
- biofluids
- brain tumour
- cancer
- early detection
- infrared spectroscopy
- serum