Novel method for detecting frequent TERT promoter hot spot mutations in bladder cancer samples

Author:

Kovács Ákos,Sükösd Farkas,Kuthi Levente,Boros Imre M.ORCID,Vedelek BalázsORCID

Abstract

AbstractTelomerase reverse transcriptase promoter (TERTp) mutations are frequently targeted tumor markers, however, they reside in regions with high GC content, which poses challenges when examined with simple molecular techniques or even with next-generation sequencing (NGS). In bladder cancer (BC), TERTp mutations are particularly frequent, however, none of the available tools have demonstrated efficacy in detecting TERTp mutations via a simple noninvasive technique. Therefore, we developed a novel PCR-based method for the detection of the two most common TERTp mutations and demonstrated its use for the analysis of BC samples. The developed SHARD-PCR TERTp mutation detection technique requires PCR and restriction digestion steps that are easily implementable even in less well-equipped laboratories. Cell lines with known mutational status were utilized for method development. Matching urine and tumor tissue samples from BC patients were analyzed, and the results were validated by next-generation sequencing. Analysis of eighteen urine and corresponding tumor tissue samples by SHARD-PCR revealed perfect matches in sample pairs, which paralleled the corresponding NGS results: fourteen samples exhibited mutations at the −124 position, two samples showed mutations at the −146 position, and no mutations were detected in two samples. Our study serves as a proof-of-concept and is limited by its small sample size, nonetheless, it demonstrates that SHARD-PCR is a simple, economic and highly reliable method for detecting TERTp mutations, which are common in different cancer types. For bladder cancer, SHARD-PCR can be performed with the use of noninvasive samples and could replace or complement currently used techniques.

Funder

National Academy of Scientist Education Program of the National Biomedical Foundation

National Research, Development and Innovation Office-NKFIH

University of Szeged

Publisher

Springer Science and Business Media LLC

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