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用于膀胱癌检测的微卫星不稳定性分析(MSA)的资格:一致性分析的技术挑战。

Qualification of the Microsatellite Instability Analysis (MSA) for Bladder Cancer Detection: The Technical Challenges of Concordance Analysis.

机构信息

NEXT Bio-Research Services, LLC, 11601 Ironbridge Road, Suite 101, Chester, VI 23831, USA.

HJM Cancer Research Foundation Corporation, 10606 Candlewick Road, Lutherville, MD 21093, USA.

出版信息

Int J Mol Sci. 2023 Dec 22;25(1):209. doi: 10.3390/ijms25010209.

Abstract

Bladder cancer (here we refer to transitional carcinoma of bladder) is a major cause of morbidity and mortality in the Western world, and recent understanding of its etiology, the molecular characteristics associated with its progression, renders bladder cancer an ideal candidate for screening. Cystoscopy is invasive and sometimes carries unwanted complications, but it is the gold standard for the detection of bladder cancer. Urine cytology, while the most commonly used test as an initial screening tool, is of limited value due to its low sensitivity, particularly for low-grade tumors. Several new "molecular assays" for the diagnosis of urothelial cancer have been developed over the last two decades. Here, we have established our new bladder cancer test based on an assay established for the Early Detection Research Network (EDRN) study. As a part of the study, a quality control CLIA/College of American Pathology (CAP) accredited laboratory, (QA Lab), University of Maryland Baltimore Biomarker Reference Laboratory (UMB-BRL), performed quality assurance analysis. Quality assurance measures included a concordance study between the testing laboratory (AIBioTech), also CLIA/CAP accredited, and the QA lab to ensure that the assay was performed and the results were analyzed in a consistent manner. Therefore, following the technical transfer and training of the microsatellite analysis assay to the UMB-BRL and prior to the initiation of analysis of the clinical samples by the testing lab, a series of qualification studies were performed. This report details the steps taken to ensure qualification of the assay and illustrates the technical challenges facing biomarker validation of this kind.

摘要

膀胱癌(这里指膀胱移行细胞癌)是西方国家发病率和死亡率的主要原因之一,而对其病因学的最新认识以及与肿瘤进展相关的分子特征,使得膀胱癌成为筛查的理想候选对象。膀胱镜检查具有侵袭性,有时会带来不必要的并发症,但它是膀胱癌检测的金标准。尿液细胞学检查虽然是作为初始筛查工具最常用的检查方法,但由于其灵敏度低,特别是对低级别肿瘤,其价值有限。过去二十年中,已经开发出几种用于诊断尿路上皮癌的新的“分子检测方法”。在这里,我们基于为早期发现研究网络 (EDRN) 研究建立的检测方法,建立了新的膀胱癌检测方法。作为该研究的一部分,马里兰大学巴尔的摩生物标志物参考实验室(UMB-BRL),一个经过 CLIA/美国病理学院 (CAP) 认证的实验室,进行了质量保证分析。质量保证措施包括对测试实验室(AIBioTech)和 QA 实验室之间的一致性研究,以确保以一致的方式进行检测并分析结果。因此,在将微卫星分析检测方法技术转移和培训到 UMB-BRL 并在测试实验室开始分析临床样本之前,进行了一系列资格研究。本报告详细说明了确保检测合格所采取的步骤,并说明了此类生物标志物验证所面临的技术挑战。

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