Direkt zum Inhalt

Owner only: item control page
Lorenz, Julia ; Rothhammer-Hampl, Tanja ; Zoubaa, Saida ; Bumes, Elisabeth ; Pukrop, Tobias ; Kölbl, Oliver ; Corbacioglu, Selim ; Schmidt, Nils O. ; Proescholdt, Martin A. ; Hau, Peter ; Riemenschneider, Markus J.

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 and Riemenschneider, Markus J. (2020) A comprehensive DNA panel next generation sequencing approach supporting diagnostics and therapy prediction in neurooncology. Acta Neuropathologica Communications 8, p. 124.

Date of publication of this fulltext: 19 Feb 2021 11:30
Article
DOI to cite this document: 10.5283/epub.44985


Abstract

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.



Involved Institutions


Details

Item typeArticle
Journal or Publication TitleActa Neuropathologica Communications
Publisher:BMC
Open Access Type:DEAL (Springer Gold)
Place of Publication:LONDON
Volume:8
Page Range:p. 124
Date5 August 2020
InstitutionsMedicine > Lehrstuhl für Innere Medizin III (Hämatologie und Internistische Onkologie)
Medicine > Abteilung für Pädiatrische Hämatologie, Onkologie und Stammzelltransplantation
Medicine > Lehrstuhl für Neurochirurgie
Medicine > Lehrstuhl für Neurologie
Medicine > Abteilung für Neuropathologie
Medicine > Lehrstuhl für Strahlentherapie
Identification Number
ValueType
10.1186/s40478-020-01000-wDOI
KeywordsTERT PROMOTER MUTATIONS; MOLECULAR DIAGNOSTICS; MEDULLOBLASTOMA; CLASSIFICATION; GRADE; GENE; MENINGIOMA; SUBGROUPS; LANDSCAPE; MAJORITY; Glioblastoma; Glioma; Meningioma; Medulloblastoma; Next generation sequencing; Targeted therapy; Integrated diagnoses
Dewey Decimal Classification600 Technology > 610 Medical sciences Medicine
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgYes
URN of the UB Regensburgurn:nbn:de:bvb:355-epub-449857
Item ID44985

Export bibliographical data

Owner only: item control page

nach oben