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A comprehensive DNA panel next generation sequencing approach supporting diagnostics and therapy prediction in neurooncology
Lorenz, Julia, Rothhammer-Hampl, Tanja, Zoubaa, Saida, Bumes, Elisabeth, Pukrop, Tobias, Kölbl, Oliver, Corbacioglu, Selim, Schmidt, Nils O.
, Proescholdt, Martin A., Hau, Peter und Riemenschneider, Markus J.
(2020)
A comprehensive DNA panel next generation sequencing approach supporting diagnostics and therapy prediction in neurooncology.
Acta Neuropathologica Communications 8, S. 124.
Veröffentlichungsdatum dieses Volltextes: 19 Feb 2021 11:30
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.44985
Zusammenfassung
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 ...
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.
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| Dokumentenart | Artikel | ||||
| Titel eines Journals oder einer Zeitschrift | Acta Neuropathologica Communications | ||||
| Verlag: | BMC | ||||
|---|---|---|---|---|---|
| Ort der Veröffentlichung: | LONDON | ||||
| Band: | 8 | ||||
| Seitenbereich: | S. 124 | ||||
| Datum | 5 August 2020 | ||||
| Institutionen | Medizin > Lehrstuhl für Innere Medizin III (Hämatologie und Internistische Onkologie) Medizin > Abteilung für Pädiatrische Hämatologie, Onkologie und Stammzelltransplantation Medizin > Lehrstuhl für Neurochirurgie Medizin > Lehrstuhl für Neurologie Medizin > Abteilung für Neuropathologie Medizin > Lehrstuhl für Strahlentherapie | ||||
| Identifikationsnummer |
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| Stichwörter / Keywords | TERT PROMOTER MUTATIONS; MOLECULAR DIAGNOSTICS; MEDULLOBLASTOMA; CLASSIFICATION; GRADE; GENE; MENINGIOMA; SUBGROUPS; LANDSCAPE; MAJORITY; Glioblastoma; Glioma; Meningioma; Medulloblastoma; Next generation sequencing; Targeted therapy; Integrated diagnoses | ||||
| Dewey-Dezimal-Klassifikation | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Ja | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-449857 | ||||
| Dokumenten-ID | 44985 |
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