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Identification of cancer associated molecular changes in histologically benign vulval disease found in association with vulval squamous cell carcinoma using Fourier transform infrared spectroscopy

Content Provider	Royal Society of Chemistry (RSC)
Author	Lloyd, Gavin Stone, Nick Kendall, Catherine Gornall, Robert Shore, Angela C. Hillaby, Kathryn Ludeman, Linmarie Frost, Jonathan
Copyright Year	2016
Abstract	This study evaluates the capability of Fourier transform infrared spectroscopy (FTIR-S) in the differentiation of molecular changes in vulval intraepithelial neoplasia (VIN) and lichen sclerosus (LS) found in association with vulval squamous cell carcinoma (SCC), compared with VIN and LS found in isolation. 48 sections of vulval epithelium with features of VIN (n = 24) or LS (n = 24) underwent FTIR-S micro-spectroscopic mapping. Spectra from each section were correlated with the pathological diagnoses and the presence of concurrent SCC. Spectral variance was explored using principal component analysis and a multivariate linear discriminant classification model was developed and validated with leave one sample out cross validation. The discriminant model was able to correctly identify FTIR-S spectra taken from samples of VIN and LS found in association with SCC from those found in isolation with a sensitivity of 82% and specificity of 93% for LS and sensitivity of 75% and specificity of 94% for VIN. The discriminant model was adjusted to maximise sensitivity whilst conceding specificity on a per patient basis and could differentiate LS associated with SCC with a sensitivity of 100% and specificity of 84% and VIN associated with SCC sensitivity of 100% and specificity 58%. In distinguishing VIN and LS found in association with SCC from that found in isolation FTIR-S offers a potential technique for the assessment of molecular changes in the vulva that predispose to the development of SCC. Further study is needed to assess the ability of FTIR-S to risk stratify patients with VIN or LS.
Starting Page	8452
Ending Page	8460
Page Count	9
File Format	HTM / HTML PDF
ISSN	17599660
Volume Number	8
Issue Number	48
Journal	Analytical Methods
DOI	10.1039/c6ay03059a
Language	English
Publisher	Royal Society of Chemistry
Access Restriction	Open
Subject Keyword	Neoplasm SCC Carcinoma Discriminant validity Cross-validation (statistics) VIN Lichen sclerosus Vulva Fourier-transform infrared spectroscopy Epithelium Variance Principal component analysis
Content Type	Text
Resource Type	Article
Subject	Analytical Chemistry Engineering Chemical Engineering

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