Methodological Challenges of Digital PCR Detection of the Histone H3 K27M Somatic Variant in Cerebrospinal Fluid

Author:

Zaytseva Margarita,Usman Natalia,Salnikova Ekaterina,Sanakoeva Agunda,Valiakhmetova Andge,Chervova Almira,Papusha Ludmila,Novichkova Galina,Druy Alexander

Abstract

Cell-free DNA (cfDNA) in body fluids is invaluable for cancer diagnostics. Despite the impressive potential of liquid biopsies for the diagnostics of central nervous system (CNS) tumors, a number of challenges prevent introducing this approach into routine laboratory practice. In this study, we adopt a protocol for sensitive detection of the H3 K27M somatic variant in cerebrospinal fluid (CSF) by using digital polymerase chain reaction (dPCR). Optimization of the protocol was carried out stepwise, including preamplification of the H3 target region and adjustment of dPCR conditions. The optimized protocol allowed detection of the mutant allele starting from DNA quantities as low as 9 picograms. Analytical specificity was tested using a representative group of tumor tissue samples with known H3 K27M status, and no false-positive cases were detected. The protocol was applied to a series of CSF samples collected from patients with CNS tumors (n = 18) using two alternative dPCR platforms, QX200 Droplet Digital PCR system (Bio-Rad) and QIAcuity Digital PCR System (Qiagen). In three out of four CSF specimens collected from patients with H3 K27M-positive diffuse midline glioma, both platforms allowed detection of the mutant allele. The use of ventricular access for CSF collection appears preferential, as lumbar CSF samples may produce ambiguous results. All CSF samples collected from patients with H3 wild-type tumors were qualified as H3 K27M-negative. High agreement of the quantitative data obtained with the two platforms demonstrates universality of the approach.

Publisher

Frontiers Media SA

Subject

Cancer Research,Oncology,General Medicine,Pathology and Forensic Medicine

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3