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利用红外光谱技术进行胰腺癌检测的液体活检

Liquid Biopsy for Pancreatic Cancer Detection Using Infrared Spectroscopy.

作者信息

Sala Alexandra, Cameron James M, Jenkins Cerys A, Barr Hugh, Christie Loren, Conn Justin J A, Evans Thomas R Jeffry, Harris Dean A, Palmer David S, Rinaldi Christopher, Theakstone Ashton G, Baker Matthew J

机构信息

Department of Pure and Applied Chemistry, University of Strathclyde, Thomas Graham Building, Glasgow G1 1XL, UK.

Dxcover Limited, Royal College Building, Glasgow G1 1XW, UK.

出版信息

Cancers (Basel). 2022 Jun 21;14(13):3048. doi: 10.3390/cancers14133048.

Abstract

Pancreatic cancer claims over 460,000 victims per year. The carbohydrate antigen (CA) 19-9 test is the blood test used for pancreatic cancer's detection; however, its levels can be raised in symptomatic patients with other non-malignant diseases, or with other tumors in the surrounding area. Attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy has demonstrated exceptional potential in cancer diagnostics, and its clinical implementation could represent a significant step towards early detection. This proof-of-concept study, investigating the use of ATR-FTIR spectroscopy on dried blood serum, focused on the discrimination of both cancer versus healthy control samples, and cancer versus symptomatic non-malignant control samples, as a novel liquid biopsy approach for pancreatic cancer diagnosis. Machine learning algorithms were applied, achieving results of up to 92% sensitivity and 88% specificity when discriminating between cancers ( = 100) and healthy controls ( = 100). An area under the curve (AUC) of 0.95 was obtained through receiver operating characteristic (ROC) analysis. Balanced sensitivity and specificity over 75%, with an AUC of 0.83, were achieved with cancers ( = 35) versus symptomatic controls ( = 35). Herein, we present these results as demonstration that our liquid biopsy approach could become a simple, minimally invasive, and reliable diagnostic test for pancreatic cancer detection.

摘要

胰腺癌每年导致超过46万人死亡。糖类抗原(CA)19-9检测是用于检测胰腺癌的血液检测;然而,有症状的其他非恶性疾病患者或周围区域有其他肿瘤的患者,其CA19-9水平也可能升高。衰减全反射傅里叶变换红外(ATR-FTIR)光谱在癌症诊断中已显示出卓越的潜力,其临床应用可能是朝着早期检测迈出的重要一步。这项概念验证研究调查了ATR-FTIR光谱在干血血清中的应用,重点是区分癌症样本与健康对照样本,以及癌症样本与有症状的非恶性对照样本,作为一种用于胰腺癌诊断的新型液体活检方法。应用了机器学习算法,在区分癌症患者(n = 100)和健康对照(n = 100)时,灵敏度高达92%,特异性高达88%。通过受试者工作特征(ROC)分析获得的曲线下面积(AUC)为0.95。在区分癌症患者(n = 35)和有症状的对照(n = 35)时,平衡灵敏度和特异性超过75%,AUC为0.83。在此,我们展示这些结果,以证明我们的液体活检方法可成为一种用于胰腺癌检测的简单、微创且可靠的诊断测试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60a2/9264892/0c3980e5f29f/cancers-14-03048-g001.jpg

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