Detection of TERT Promoter Mutations Using Targeted Next-Generation Sequencing: Overcoming GC Bias through Trial and Error
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
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.
Abstract
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.
참고문헌 (31)
- Harley CB, "Telomerase, cell immortality, and cancer", Cold Spring Harb Symp Quant Biol, 59, pp.307~315 (1994)
- Vinagre J, "Frequency of TERT promoter mutations in human cancers", Nat Commun, 4, pp.2185~ (2013)
- Eckel-Passow JE, "Glioma groups based on 1p", 19q, IDH, and TERT promoter mutations in tumors, 2015, pp.372, 2499~2508
- Horn S, "TERT promoter mutations in familial and sporadic melanoma", Science, 339, pp.959~961 (2013)
- Labussiere M, "TERT promoter mutations in gliomas, genetic associations and clinico-pathological correlations", Br J Cancer, 111, pp.2024~2032 (2014)
- Killela PJ, "TERT promoter mutations occur frequently in gliomas and a subset of tumors derived from cells with low rates of self-renewal", Proc Natl Acad Sci U S A, 110, pp.6021~6026 (2013)
- Louis DN, "The 2016 World Health Organization classification of tumors of the central nervous system : a summary", Acta Neuropathol, 131, pp.803~820 (2016)
- Brat DJ, "cIMPACT-NOW update 3 : recommended diagnostic criteria for"Diffuse astrocytic glioma, IDH-wildtype, with molecular features of glioblastoma, WHO grade IV"", Acta Neuropathol, 136, pp.805~810 (2018)
- Mitas M, "Hairpin properties of single-stranded DNA containing a GC-rich triplet repeat : (CTG)15", Nucleic Acids Res, 23, pp.1050~1059 (1995)
- Colebatch AJ, "Optimizing amplification of the GC-rich TERT promoter region using 7-deaza-dGTP for droplet digital PCR quantification of TERT promoter mutations", Clin Chem, 64, pp.745~747 (2018)
- Diplas BH, "Sensitive and rapid detection of TERT promoter and IDH mutations in diffuse gliomas", Neuro Oncol, 21, pp.440~450 (2019)
- Li H, "Fast and accurate long-read alignment with Burrows-Wheeler transform", Bioinformatics, 26, pp.589~595 (2010)
- Li H, "A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data", Bioinformatics, 27, pp.2987~2993 (2011)
- McKenna A, "The Genome Analysis Toolkit : a MapReduce framework for analyzing next-generation DNA sequencing data", Genome Res, 20, pp.1297~1303 (2010)
- Cibulskis K, "Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples", Nat Biotechnol, 31, pp.213~219 (2013)
- Wilm A, "LoFreq : a sequence-quality aware, ultra-sensitive variant caller for uncovering cell-population heterogeneity from high-throughput sequencing datasets", Nucleic Acids Res, 40, pp.11189~11201 (2012)
- Lai Z, "VarDict : a novel and versatile variant caller for next-generation sequencing in cancer research", Nucleic Acids Res, 44, pp.e108~ (2016)
- Shin HT, "Prevalence and detection of low-allele-fraction variants in clinical cancer samples", Nat Commun, 8, pp.1377~ (2017)
- Ye K, "Pindel : a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads", Bioinformatics, 25, pp.2865~2871 (2009)
- Kim H, "Negative prognostic implication of TERT promoter mutations in human papillomavirus–negative tonsillar squamous cell carcinoma under the new 8th AJCC staging system", Indian J Surg Oncol, 12, pp.134~143 (2020)
- Suzuki H, "Mutational landscape and clonal architecture in grade II and III gliomas", Nat Genet, 47, pp.458~468 (2015)
- Cancer Genome Atlas Network, "Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas", N Engl J Med, 372, pp.2481~2498 (2015)
- Hube F, "Improved PCR method for amplification of GC-rich DNA sequences", Mol Biotechnol, 31, pp.81~84 (2005)
- Frey UH, "PCR-amplification of GC-rich regions : ‘slowdown PCR’", Nat Protoc, 3, pp.1312~1317 (2008)
- Chakrabarti R, "The enhancement of PCR amplification by low molecular weight amides", Nucleic Acids Res, 29, pp.2377~2381 (2001)
- Kramer MF, "Enzymatic amplification of DNA by PCR: standard procedures and optimization", Curr Protoc Immunol, Chapter 10 (2001)
- Benjamini Y, "Summarizing and correcting the GC content bias in high-throughput sequencing", Nucleic Acids Res, 40, pp.e72~ (2012)
- Mertes F, "Targeted enrichment of genomic DNA regions for next-generation sequencing", Brief Funct Genomics, 10, pp.374~386 (2011)
- Sahm F, "Next-generation sequencing in routine brain tumor diagnostics enables an integrated diagnosis and identifies actionable targets", Acta Neuropathol, 131, pp.903~910 (2016)
- Chen YJ, "Quantifying molecular bias in DNA data storage", Nat Commun, 11, pp.3264~ (2020)
- Antequera F, "Number of CpG islands and genes in human and mouse", Proc Natl Acad Sci U S A, 90, pp.11995~11999 (1993)
