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Detection of TERT Promoter Mutations Using Targeted Next-Generation Sequencing: Overcoming GC Bias through Trial and Error

PURPOSE: Detection of telomerase reverse transcriptase (TERT) promoter mutations is a crucial process in the integrated diagnosis of glioblastomas. However, the TERT promoter region is difficult to amplify because of its high guanine-cytosine (GC) content (> 80%). This study aimed to analyze the...

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Autores principales: Lee, Hyunwoo, Lee, Boram, Kim, Deok Geun, Cho, Yoon Ah, Kim, Jung-Sun, Suh, Yeon-Lim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Cancer Association 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756133/
https://www.ncbi.nlm.nih.gov/pubmed/33940787
http://dx.doi.org/10.4143/crt.2021.107
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author Lee, Hyunwoo
Lee, Boram
Kim, Deok Geun
Cho, Yoon Ah
Kim, Jung-Sun
Suh, Yeon-Lim
author_facet Lee, Hyunwoo
Lee, Boram
Kim, Deok Geun
Cho, Yoon Ah
Kim, Jung-Sun
Suh, Yeon-Lim
author_sort Lee, Hyunwoo
collection PubMed
description PURPOSE: Detection of telomerase reverse transcriptase (TERT) promoter mutations is a crucial process in the integrated diagnosis of glioblastomas. However, the TERT promoter region is difficult to amplify because of its high guanine-cytosine (GC) content (> 80%). This study aimed to analyze the capturing of TERT mutations by targeted next-generation sequencing (NGS) using formalin-fixed paraffin-embedded tissues. MATERIALS AND METHODS: We compared the detection rate of TERT mutations between targeted NGS and Sanger sequencing in 25 cases of isocitrate dehydrgenase (IDH)-wildtype glioblastomas and 10 cases of non-neoplastic gastric tissues. Our customized panel consisted of 232 essential glioma-associated genes. RESULTS: Sanger sequencing detected TERT mutations in 17 out of 25 glioblastomas, but all TERT mutations were missed by targeted NGS. After the manual visualization of the NGS data using an integrative genomics viewer, 16 cases showed a TERT mutation with a very low read depth (mean, 21.59; median, 25), which revealed false-negative results using auto-filtering. We optimized our customized panel by extending the length of oligonucleotide baits and increasing the number of baits spanning the coverage of the TERT promoter, which did not amplify well due to the high GC content. CONCLUSION: Our study confirmed that it is crucial to consider the recognition of molecular bias and to carefully interpret NGS data.
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spelling pubmed-87561332022-01-25 Detection of TERT Promoter Mutations Using Targeted Next-Generation Sequencing: Overcoming GC Bias through Trial and Error Lee, Hyunwoo Lee, Boram Kim, Deok Geun Cho, Yoon Ah Kim, Jung-Sun Suh, Yeon-Lim Cancer Res Treat Original Article PURPOSE: Detection of telomerase reverse transcriptase (TERT) promoter mutations is a crucial process in the integrated diagnosis of glioblastomas. However, the TERT promoter region is difficult to amplify because of its high guanine-cytosine (GC) content (> 80%). This study aimed to analyze the capturing of TERT mutations by targeted next-generation sequencing (NGS) using formalin-fixed paraffin-embedded tissues. MATERIALS AND METHODS: We compared the detection rate of TERT mutations between targeted NGS and Sanger sequencing in 25 cases of isocitrate dehydrgenase (IDH)-wildtype glioblastomas and 10 cases of non-neoplastic gastric tissues. Our customized panel consisted of 232 essential glioma-associated genes. RESULTS: Sanger sequencing detected TERT mutations in 17 out of 25 glioblastomas, but all TERT mutations were missed by targeted NGS. After the manual visualization of the NGS data using an integrative genomics viewer, 16 cases showed a TERT mutation with a very low read depth (mean, 21.59; median, 25), which revealed false-negative results using auto-filtering. We optimized our customized panel by extending the length of oligonucleotide baits and increasing the number of baits spanning the coverage of the TERT promoter, which did not amplify well due to the high GC content. CONCLUSION: Our study confirmed that it is crucial to consider the recognition of molecular bias and to carefully interpret NGS data. Korean Cancer Association 2022-01 2021-05-03 /pmc/articles/PMC8756133/ /pubmed/33940787 http://dx.doi.org/10.4143/crt.2021.107 Text en Copyright © 2022 by the Korean Cancer Association https://creativecommons.org/licenses/by-nc/4.0/This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lee, Hyunwoo
Lee, Boram
Kim, Deok Geun
Cho, Yoon Ah
Kim, Jung-Sun
Suh, Yeon-Lim
Detection of TERT Promoter Mutations Using Targeted Next-Generation Sequencing: Overcoming GC Bias through Trial and Error
title Detection of TERT Promoter Mutations Using Targeted Next-Generation Sequencing: Overcoming GC Bias through Trial and Error
title_full Detection of TERT Promoter Mutations Using Targeted Next-Generation Sequencing: Overcoming GC Bias through Trial and Error
title_fullStr Detection of TERT Promoter Mutations Using Targeted Next-Generation Sequencing: Overcoming GC Bias through Trial and Error
title_full_unstemmed Detection of TERT Promoter Mutations Using Targeted Next-Generation Sequencing: Overcoming GC Bias through Trial and Error
title_short Detection of TERT Promoter Mutations Using Targeted Next-Generation Sequencing: Overcoming GC Bias through Trial and Error
title_sort detection of tert promoter mutations using targeted next-generation sequencing: overcoming gc bias through trial and error
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756133/
https://www.ncbi.nlm.nih.gov/pubmed/33940787
http://dx.doi.org/10.4143/crt.2021.107
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