Marco L. Leung , Zied Abdullaev , Lucas Santana-Santos , John M. Skaugen , Stephen Moore , Jianling Ji
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引用次数: 0
Abstract
Microarray-based methylation profiling has emerged as a valuable tool for refining diagnoses and revealing novel tumor subtypes, particularly in central nervous system tumors. Despite the increasing adoption of this technique in clinical genomic laboratories, no technical standards have been published in establishing minimum criteria for test validation. A working group with experience and expertise in DNA-based methylation profiling tests on central nervous system tumors collaborated to develop practical discussion points and focus on important considerations for validating this test in clinical laboratory settings. The experience in validating this methodology in a clinical setting is summarized. Specifically, the advantages and challenges associated with utilizing an in-house classifier compared with a third-party classifier are highlighted. Additionally, experiences in demonstrating the assay's sensitivity and specificity, establishing minimum sample criteria, and implementing quality control metrics are described. As methylation profiling for tumor classification expands to other tumor types and continues to evolve for various other applications, the critical considerations described here are expected to serve as a guidance for future efforts in establishing professional guidelines for this assay.
基于芯片的甲基化分析已成为完善诊断和揭示新型肿瘤亚型(尤其是中枢神经系统肿瘤)的重要工具。尽管临床基因组实验室越来越多地采用这种技术,但目前还没有发布任何技术标准来建立测试验证的最低标准。一个在基于 DNA 的中枢神经系统肿瘤甲基化分析测试方面拥有丰富经验和专业知识的工作组合作制定了实用的讨论要点,并重点关注了在临床实验室环境中验证该测试的重要注意事项。我们总结了在临床环境中验证这种方法的经验。特别是,我们强调了与第三方分类器相比,使用内部分类器的优势和挑战。此外,我们还分享了在证明检测灵敏度和特异性、建立最低样本标准和实施质量控制指标方面的经验。随着用于肿瘤分类的甲基化图谱分析扩展到其他肿瘤类型,并在其他各种应用中不断发展,本文所述的关键考虑因素有望为今后建立该测定的专业指南提供指导。
期刊介绍:
The Journal of Molecular Diagnostics, the official publication of the Association for Molecular Pathology (AMP), co-owned by the American Society for Investigative Pathology (ASIP), seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome for review articles that contain: novel discoveries or clinicopathologic correlations including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, clinical informatics, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods which may be applied to diagnosis or monitoring of disease or disease predisposition.