A comprehensive DNA panel next generation sequencing approach supporting diagnostics and therapy prediction in neurooncology.
Adult
Antineoplastic Combined Chemotherapy Protocols
/ therapeutic use
Biomarkers, Tumor
/ genetics
Brain Neoplasms
/ drug therapy
Female
High-Throughput Nucleotide Sequencing
/ methods
Humans
Male
Medical Oncology
/ methods
Molecular Targeted Therapy
/ methods
Neurology
/ methods
Precision Medicine
/ methods
Sequence Analysis, DNA
Glioblastoma
Glioma
Integrated diagnoses
Medulloblastoma
Meningioma
Next generation sequencing
Targeted therapy
Journal
Acta neuropathologica communications
ISSN: 2051-5960
Titre abrégé: Acta Neuropathol Commun
Pays: England
ID NLM: 101610673
Informations de publication
Date de publication:
05 08 2020
05 08 2020
Historique:
received:
19
05
2020
accepted:
17
07
2020
entrez:
8
8
2020
pubmed:
8
8
2020
medline:
1
6
2021
Statut:
epublish
Résumé
Recent updates in the classification of central nervous system (CNS) tumors have increased the need for molecular testing. Assessment of multiple alterations in parallel, complex combinations of gene sequence and chromosomal changes, as well as therapy prediction by identification of actionable mutations are the major challenges. We here report on a customized next generation sequencing (NGS)-based DNA panel assay that combines diagnostic and predictive testing and -as a comprehensive approach- allows for simultaneous single nucleotide variant (SNP) / small insertion/deletion (InDel), copy number variation (CNV) and loss of heterozygosity (LOH) detection. We analyzed formalin-fixed and paraffin-embedded (FFPE) DNA from a total of 104 patients with CNS tumors. After amplicon capture-based library preparation, sequencing was performed on the relatively cost-efficient Illiumina MiniSeq platform and evaluated with freely available bioinformatical tools. 57 genes for exonic SNP/InDel calling (19 of those in intronic regions for CNV analysis), 3 chromosomal arms and 4 entire chromosomes for CNV and LOH analysis were covered. Results were extensively validated. Our approach yielded high accuracy, sensitivity and specificity. It led to refined diagnoses in a relevant number of analyzed cases, reliably enabled complex subclassifications (e.g. for medulloblastomas) and identified actionable targets for clinical use. Thus, our single-platform approach is an efficient and powerful tool to comprehensively support molecular testing in neurooncology. Future functionality is guaranteed as novel upcoming biomarkers can be easily incorporated in a modular panel design.
Identifiants
pubmed: 32758285
doi: 10.1186/s40478-020-01000-w
pii: 10.1186/s40478-020-01000-w
pmc: PMC7405456
doi:
Substances chimiques
Biomarkers, Tumor
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
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