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通过尿液挥发性有机化合物分析检测结直肠癌(CRC)

Detection of colorectal cancer (CRC) by urinary volatile organic compound analysis.

作者信息

Arasaradnam Ramesh P, McFarlane Michael J, Ryan-Fisher Courtenay, Westenbrink Erik, Hodges Phoebe, Thomas Matthew G, Chambers Samantha, O'Connell Nicola, Bailey Catherine, Harmston Christopher, Nwokolo Chuka U, Bardhan Karna D, Covington James A

机构信息

Clinical Sciences Research Institute, University of Warwick, Coventry, Warwickshire, United Kingdom; Department of Gastroenterology, University Hospital Coventry & Warwickshire, Coventry, Warwickshire, United Kingdom.

Department of Gastroenterology, University Hospital Coventry & Warwickshire, Coventry, Warwickshire, United Kingdom.

出版信息

PLoS One. 2014 Sep 30;9(9):e108750. doi: 10.1371/journal.pone.0108750. eCollection 2014.

Abstract

Colorectal cancer (CRC) is a leading cause of cancer related death in Europe and the USA. There is no universally accepted effective non-invasive screening test for CRC. Guaiac based faecal occult blood (gFOB) testing has largely been superseded by Faecal Immunochemical testing (FIT), but sensitivity still remains poor. The uptake of population based FOBt testing in the UK is also low at around 50%. The detection of volatile organic compounds (VOCs) signature(s) for many cancer subtypes is receiving increasing interest using a variety of gas phase analytical instruments. One such example is FAIMS (Field Asymmetric Ion Mobility Spectrometer). FAIMS is able to identify Inflammatory Bowel disease (IBD) patients by analysing shifts in VOCs patterns in both urine and faeces. This study extends this concept to determine whether CRC patients can be identified through non-invasive analysis of urine, using FAIMS. 133 patients were recruited; 83 CRC patients and 50 healthy controls. Urine was collected at the time of CRC diagnosis and headspace analysis undertaken using a FAIMS instrument (Owlstone, Lonestar, UK). Data was processed using Fisher Discriminant Analysis (FDA) after feature extraction from the raw data. FAIMS analyses demonstrated that the VOC profiles of CRC patients were tightly clustered and could be distinguished from healthy controls. Sensitivity and specificity for CRC detection with FAIMS were 88% and 60% respectively. This study suggests that VOC signatures emanating from urine can be detected in patients with CRC using ion mobility spectroscopy technology (FAIMS) with potential as a novel screening tool.

摘要

结直肠癌(CRC)是欧洲和美国癌症相关死亡的主要原因。目前尚无普遍接受的有效的结直肠癌非侵入性筛查测试。基于愈创木脂的粪便潜血(gFOB)检测在很大程度上已被粪便免疫化学检测(FIT)所取代,但灵敏度仍然较差。在英国,基于人群的粪便潜血检测(FOBt)的接受率也很低,约为50%。使用各种气相分析仪器检测多种癌症亚型的挥发性有机化合物(VOC)特征受到越来越多的关注。其中一个例子是场不对称离子迁移谱仪(FAIMS)。FAIMS能够通过分析尿液和粪便中VOC模式的变化来识别炎症性肠病(IBD)患者。本研究扩展了这一概念,以确定是否可以使用FAIMS通过对尿液的非侵入性分析来识别CRC患者。招募了133名患者;83名CRC患者和50名健康对照。在CRC诊断时收集尿液,并使用FAIMS仪器(Owlstone,Lonestar,英国)进行顶空分析。从原始数据中提取特征后,使用Fisher判别分析(FDA)对数据进行处理。FAIMS分析表明CRC患者的VOC谱紧密聚集,并且可以与健康对照区分开来。使用FAIMS检测CRC的灵敏度和特异性分别为88%和60%。本研究表明,使用离子迁移谱技术(FAIMS)可以在CRC患者尿液中检测到VOC特征,具有作为一种新型筛查工具的潜力。

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