a 2nd Department of Internal Medicine , Semmelweis University , Budapest , Hungary.
b MTA-SE Molecular Medicine Research Unit , Hungarian Academy of Sciences and Semmelweis University , Budapest , Hungary.
Expert Rev Mol Diagn. 2019 Jun;19(6):477-498. doi: 10.1080/14737159.2019.1613891. Epub 2019 May 21.
: Screening methods for one of the most frequently diagnosed malignancy, colorectal cancer (CRC), have limitations. Circulating cell-free nucleic acids (cfNA) hold clinical relevance as screening, prognostic and therapy monitoring markers. : In this review, we summarize potential CRC-specific cfNA biomarkers, the recently developed sample preparation techniques, their applications, and pitfalls. : Automated extraction of cfDNA is highly reproducible, however, cfDNA yield is less compared to manual isolation. Quantitative and highly sensitive detection techniques (e.g. digital PCR, NGS) can be applied to analyze genetic and epigenetic changes. Detection of DNA mutations or methylation in cfDNA and related altered levels of mRNA, miRNA, and lncRNA may improve early cancer recognition, based on specific, CRC-related patterns. Detection of cfDNA mutations (e.g. ) has limited diagnostic sensitivity (40-60%), however, methylated DNA including can be applied with higher sensitivity (up to 90%) for CRC. Circulating miRNAs (e.g. miR-21, miR-92, miR-141) provide comparably high sensitivity for CRC as the circulating tumor cell mRNA markers (e.g. EGFR, CK19, CK20, CEA). Automation of cfNA isolation coupled with quantitative analysis of CRC-related, highly sensitive biomarkers may enhance CRC screening and early detection in the future.
: 用于筛查最常见的恶性肿瘤之一——结直肠癌(CRC)的方法存在局限性。循环无细胞核酸(cfNA)作为筛查、预后和治疗监测标志物具有临床相关性。在这篇综述中,我们总结了潜在的 CRC 特异性 cfNA 生物标志物、最近开发的样本制备技术、它们的应用和局限性。cfDNA 的自动提取具有高度可重复性,但与手动分离相比,cfDNA 的产量较少。定量和高灵敏度的检测技术(例如数字 PCR、NGS)可用于分析遗传和表观遗传变化。cfDNA 中的 DNA 突变或甲基化以及相关的 mRNA、miRNA 和 lncRNA 水平的改变的检测可能基于特定的、与 CRC 相关的模式来改善早期癌症的识别。cfDNA 突变(例如 )的检测具有有限的诊断灵敏度(40-60%),然而,包括 在内的甲基化 DNA 可用于 CRC 检测的更高灵敏度(高达 90%)。循环 miRNA(例如 miR-21、miR-92、miR-141)作为循环肿瘤细胞 mRNA 标志物(例如 EGFR、CK19、CK20、CEA),提供了相当高的 CRC 检测灵敏度。cfNA 分离的自动化以及 CRC 相关的、高度敏感的生物标志物的定量分析可能会在未来增强 CRC 的筛查和早期检测。