Prediction of prognosis in oral squamous cell carcinoma using infrared microspectroscopy.



Whitley, Conor A, Ellis, Barnaby G, Triantafyllou, Asterios, Gunning, Philip J, Gardner, Peter, Barrett, Steve D ORCID: 0000-0003-2960-3334, Shaw, Richard J ORCID: 0000-0001-7027-8997, Smith, Caroline I ORCID: 0000-0001-6878-0697, Weightman, Peter ORCID: 0000-0002-0907-3930 and Risk, Janet M ORCID: 0000-0002-8770-7783
(2024) Prediction of prognosis in oral squamous cell carcinoma using infrared microspectroscopy. Cancer medicine, 13 (5). e7094-.

Access the full-text of this item by clicking on the Open Access link.

Abstract

<h4>Background</h4>Estimation of prognosis of oral squamous cell carcinoma (OSCC) is inaccurate prior to surgery, only being effected following subsequent pathological analysis of the primary tumour and excised lymph nodes. Consequently, a proportion of patients are overtreated, with an increase in morbidity, or undertreated, with inadequate margins and risk of recurrence. We hypothesise that it is possible to accurately characterise clinical outcomes from infrared spectra arising from diagnostic biopsies. In this first step, we correlate survival with IR spectra derived from the primary tumour.<h4>Methods</h4>Infrared spectra were collected from tumour tissue from 29 patients with OSCC and subject to classification modelling.<h4>Results</h4>The model had a median AUROC of 0.89 with regard to prognosis, a median specificity of 0.83, and a hazard ratio of 6.29 in univariate Cox proportional hazard modelling.<h4>Conclusion</h4>The data suggest that FTIR spectra may be a useful early biomarker of prognosis in OSCC.

Item Type: Article
Uncontrolled Keywords: Humans, Carcinoma, Squamous Cell, Head and Neck Neoplasms, Mouth Neoplasms, Prognosis, Squamous Cell Carcinoma of Head and Neck
Divisions: Faculty of Health and Life Sciences
Faculty of Science and Engineering > School of Physical Sciences
Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology
Depositing User: Symplectic Admin
Date Deposited: 20 Mar 2024 16:22
Last Modified: 20 Mar 2024 16:22
DOI: 10.1002/cam4.7094
Open Access URL: http://dx.doi.org/10.1002/cam4.7094
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3179747