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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

机译:使用傅立叶变换红外光谱法鉴定与外阴鳞状细胞癌相关的组织学良性外阴疾病中与癌症相关的分子变化

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摘要

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.
机译:这项研究评估了傅立叶变换红外光谱(FTIR-S)区分与外阴鳞状细胞癌(SCC)相关的外阴上皮内瘤变(VIN)和地衣性硬化症(LS)分子变化的能力,与VIN和LS孤立。 FTIR-S显微图绘制了48个具有VIN(n = 24)或LS(n = 24)特征的外阴上皮切片。每个部分的光谱与病理诊断和并发SCC相关。使用主成分分析探索了光谱方差,并开发了一个多元线性判别分类模型并通过交叉验证来验证了一个样本。判别模型能够正确识别从与SCC相关联的VIN和LS样品中分离出的FTIR-S光谱,对LS的敏感性为82%,对LS的特异性为93%,对LS的敏感性为75%。 VIN的94%。调整判别模型以最大程度地提高灵敏度,同时基于每个患者放弃特异性,并且可以区分与SCC相关的LS,其敏感性为100%和84%,而VIN与SCC相关的敏感性为100%和特异性58%。在区分与SCC相关的VIN和LS与分离中发现的VIN和LS时,FTIR-S提供了一种潜在的技术,可用于评估外阴中易引起SCC发生的分子变化。需要进一步研究以评估FTIR-S对VIN或LS患者进行风险分层的能力。

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