Year: 2024
Type: article
Abstract: Currently, central nervous system tumors are diagnosed with an integrated diagnostic approach that combines histopathological examination with molecular genetic profiling, which requires days to weeks to achieve a precise and informative classification of CNS tumors. This study demonstrated the feasibility of rapid multiplexed amplicon nanopore sequencing for identifying critical mutations relevant to molecular stratification of brain tumors within the timeframe of standard resection surgery. Utilizing live analysis of nanopore sequencing data, we evaluated the brain tumor-associated molecular markers IDH1 R132, IDH2 R172, pTERT C228 and C250, H3F3A K27 and G34, Hist1H3B K27, and BRAF V600. Our method achieved a turnaround time of 105minutes at the point-of-care from receipt of a tumor biopsy to result with the potential to impact surgical strategy. Our approach can be integrated with recently developed DNA methylation-based diagnostic classification systems, corroborating diagnoses and even further specifying tumor grades, thus enabling a multimodal diagnostic intraoperative assessment of CNS malignancies.
Language: English
Subfield: Genetics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,230
Awards: G3129451782, EXC 2167: Präzisionsmedizin für Chronische Entzündungserkrankungen (PMI), G4119129891, KMU-innovativ - Verbundprojekt: Intraoperative epi-genomische Diagnostik von Hirntumoren mittels Nanoporesequenzierung (IntraEpiGliom) - Teilvorhaben: Nanoporesequenzierung sowie Erforschung von Algorithmen zur online Analyse und Klassifikation von kombinierten genetischen/epigenetischen Signalen, KMU-innovativ - Verbundprojekt: Intraoperative epi-genomische Diagnostik von Hirntumoren mittels Nanoporesequenzierung (IntraEpiGliom) - Teilvorhaben: Technologietransfer, Stabilisierung, Validierung, Dokumentation und End-to-End Verknüpfung des Nanopore Sequenzierungprozesses, KMU-innovativ - Verbundprojekt: Intraoperative epi-genomische Diagnostik von Hirntumoren mittels Nanoporesequenzierung (IntraEpiGliom) - Teilvorhaben: Aufbau von Rechenarchitekturen zur Onlineverarbeitung von Nanopore-Sequenzierungssignalen
OpenAlex ID: W4404185982
