Prediction of prognosis in oral squamous cell carcinoma using infrared microspectroscopy
Background 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 morbidit...
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| Published in | Cancer medicine (Malden, MA) Vol. 13; no. 5; pp. e7094 - n/a |
|---|---|
| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
John Wiley & Sons, Inc
01.03.2024
John Wiley and Sons Inc Wiley |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2045-7634 2045-7634 |
| DOI | 10.1002/cam4.7094 |
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| Abstract | Background
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.
Methods
Infrared spectra were collected from tumour tissue from 29 patients with OSCC and subject to classification modelling.
Results
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.
Conclusion
The data suggest that FTIR spectra may be a useful early biomarker of prognosis in OSCC.
Estimation of prognosis of oral squamous cell carcinoma (OSCC) is inaccurate prior to surgery leading to over treatment in a proportion of patients. Infrared spectra were collected from OSCC tumour tissue and subject to classification modelling. 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. The data suggest that FTIR spectra may be a useful early biomarker of prognosis in OSCC. |
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| AbstractList | Estimation of prognosis of oral squamous cell carcinoma (OSCC) is inaccurate prior to surgery leading to over treatment in a proportion of patients. Infrared spectra were collected from OSCC tumour tissue and subject to classification modelling. 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. The data suggest that FTIR spectra may be a useful early biomarker of prognosis in OSCC. BackgroundEstimation 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.MethodsInfrared spectra were collected from tumour tissue from 29 patients with OSCC and subject to classification modelling.ResultsThe 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.ConclusionThe data suggest that FTIR spectra may be a useful early biomarker of prognosis in OSCC. Background 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. Methods Infrared spectra were collected from tumour tissue from 29 patients with OSCC and subject to classification modelling. Results 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. Conclusion The data suggest that FTIR spectra may be a useful early biomarker of prognosis in OSCC. Estimation of prognosis of oral squamous cell carcinoma (OSCC) is inaccurate prior to surgery leading to over treatment in a proportion of patients. Infrared spectra were collected from OSCC tumour tissue and subject to classification modelling. 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. The data suggest that FTIR spectra may be a useful early biomarker of prognosis in OSCC. Abstract Background 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. Methods Infrared spectra were collected from tumour tissue from 29 patients with OSCC and subject to classification modelling. Results 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. Conclusion The data suggest that FTIR spectra may be a useful early biomarker of prognosis in OSCC. 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.BACKGROUNDEstimation 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.Infrared spectra were collected from tumour tissue from 29 patients with OSCC and subject to classification modelling.METHODSInfrared spectra were collected from tumour tissue from 29 patients with OSCC and subject to classification modelling.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.RESULTSThe 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.The data suggest that FTIR spectra may be a useful early biomarker of prognosis in OSCC.CONCLUSIONThe data suggest that FTIR spectra may be a useful early biomarker of prognosis in OSCC. 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. Infrared spectra were collected from tumour tissue from 29 patients with OSCC and subject to classification modelling. 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. The data suggest that FTIR spectra may be a useful early biomarker of prognosis in OSCC. |
| Author | Shaw, Richard J. Weightman, Peter Barrett, Steve D. Gunning, Philip J. Triantafyllou, Asterios Whitley, Conor A. Ellis, Barnaby G. Smith, Caroline I. Risk, Janet M. Gardner, Peter |
| AuthorAffiliation | 5 Regional Maxillofacial Unit Liverpool University Hospitals NHS Foundation Trust Liverpool UK 3 Department of Molecular and Clinical Cancer Medicine Institute of Systems, Molecular and Integrative Biology, University of Liverpool Liverpool UK 4 Department of Chemical Engineering The University of Manchester Manchester UK 2 Department of Pathology, Liverpool Clinical Laboratories University of Liverpool Liverpool UK 1 Department of Physics University of Liverpool Liverpool UK |
| AuthorAffiliation_xml | – name: 1 Department of Physics University of Liverpool Liverpool UK – name: 5 Regional Maxillofacial Unit Liverpool University Hospitals NHS Foundation Trust Liverpool UK – name: 2 Department of Pathology, Liverpool Clinical Laboratories University of Liverpool Liverpool UK – name: 3 Department of Molecular and Clinical Cancer Medicine Institute of Systems, Molecular and Integrative Biology, University of Liverpool Liverpool UK – name: 4 Department of Chemical Engineering The University of Manchester Manchester UK |
| Author_xml | – sequence: 1 givenname: Conor A. surname: Whitley fullname: Whitley, Conor A. organization: University of Liverpool – sequence: 2 givenname: Barnaby G. surname: Ellis fullname: Ellis, Barnaby G. organization: University of Liverpool – sequence: 3 givenname: Asterios surname: Triantafyllou fullname: Triantafyllou, Asterios organization: University of Liverpool – sequence: 4 givenname: Philip J. surname: Gunning fullname: Gunning, Philip J. organization: Institute of Systems, Molecular and Integrative Biology, University of Liverpool – sequence: 5 givenname: Peter surname: Gardner fullname: Gardner, Peter organization: The University of Manchester – sequence: 6 givenname: Steve D. surname: Barrett fullname: Barrett, Steve D. organization: University of Liverpool – sequence: 7 givenname: Richard J. surname: Shaw fullname: Shaw, Richard J. organization: Liverpool University Hospitals NHS Foundation Trust – sequence: 8 givenname: Caroline I. surname: Smith fullname: Smith, Caroline I. organization: University of Liverpool – sequence: 9 givenname: Peter surname: Weightman fullname: Weightman, Peter organization: University of Liverpool – sequence: 10 givenname: Janet M. orcidid: 0000-0002-8770-7783 surname: Risk fullname: Risk, Janet M. email: j.m.risk@liverpool.ac.uk organization: Institute of Systems, Molecular and Integrative Biology, University of Liverpool |
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| Snippet | Background
Estimation of prognosis of oral squamous cell carcinoma (OSCC) is inaccurate prior to surgery, only being effected following subsequent pathological... Estimation of prognosis of oral squamous cell carcinoma (OSCC) is inaccurate prior to surgery, only being effected following subsequent pathological analysis... BackgroundEstimation of prognosis of oral squamous cell carcinoma (OSCC) is inaccurate prior to surgery, only being effected following subsequent pathological... Estimation of prognosis of oral squamous cell carcinoma (OSCC) is inaccurate prior to surgery leading to over treatment in a proportion of patients. Infrared... Abstract Background Estimation of prognosis of oral squamous cell carcinoma (OSCC) is inaccurate prior to surgery, only being effected following subsequent... |
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| SubjectTerms | biomarker Biomarkers Biopsy Carcinoma, Squamous Cell - pathology Classification FTIR Head and Neck Neoplasms Humans infrared microspectroscopy Lymph nodes Lymphatic system Medical prognosis Metastasis Morbidity Mouth Neoplasms - pathology Oral cancer Oral carcinoma Oral squamous cell carcinoma OSCC Patients Prognosis Spectrum analysis Squamous cell carcinoma Squamous Cell Carcinoma of Head and Neck Surgery Survival analysis Tumors |
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| Title | Prediction of prognosis in oral squamous cell carcinoma using infrared microspectroscopy |
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