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Prediction of pathological response to neo‐adjuvant chemoradiotherapy for oesophageal cancer using vibrational spectroscopy
Date Issued
2021-03
Date Available
2021-05-19T16:43:17Z
Abstract
In oesophageal cancer (OC) neo‐adjuvant chemoradiotherapy (neoCRT) is used to debulk tumour size prior to surgery, with a complete pathological response (pCR) observed in approximately ∼30% of patients. Presently no predictive quantitative methodology exists which can predict response, in particular a pCR or major response (MR), in patients prior to therapy. Raman and Fourier transform infrared imaging were performed on OC tissue specimens acquired from 50 patients prior to therapy, to develop a computational model linking spectral data to treatment outcome. Modelling sensitivities and specificities above 85% were achieved using this approach. Parallel in‐vitro studies using an isogenic model of radioresistant OC supplied further insight into OC cell spectral response to ionising radiation where a potential spectral biomarker of radioresistance was observed at 977 cm−1. This work demonstrates that chemical imaging may provide an option for triage of patients prior to neoCRT treatment allowing more precise prescription of treatment.
Sponsorship
Health Research Board
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Wiley
Journal
Translational Biophotonics
Volume
3
Issue
1
Copyright (Published Version)
2020 the Authors
Language
English
Status of Item
Peer reviewed
ISSN
2627-1850
This item is made available under a Creative Commons License
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Owning collection
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297
Acquisition Date
Mar 27, 2024
Mar 27, 2024
Downloads
196
Acquisition Date
Mar 27, 2024
Mar 27, 2024