Skip to content
Open access

50 Comparative evaluation of long- and short-read methylation-aware sequencing for CNS tumour diagnostics

Aug 2026 · Neuro-Oncology · 0 citations

TL;DR

Comparing methylation-aware sequencing platforms enabling simultaneous epigenomic and genomic profiling in CNS tumours shows robust cross-platform concordance and clinical feasibility for CNS tumour diagnostics.

Abstract

DNA methylation–based classification has transformed the diagnosis of central nervous system (CNS) tumours. However, methylation profiling alone is insufficient for definitive diagnosis and must be integrated with genomic alterations such as single nucleotide variants, structural variants, and gene fusions. Molecular diagnostics are therefore moving towards unified sequencing approaches capable of simultaneously capturing epigenomic and genomic information within a single assay. Rapid nanopore sequencing has demonstrated the feasibility of combined methylation and genomic profiling within an intraoperative timeframe. Illumina 5-base whole-genome sequencing is a recently released short-read technology that distinguishes methylated from unmethylated cytosines, enabling integrated epigenomic and genomic analysis. Here, we compare the diagnostic performance of these long- and short-read methylation-aware sequencing platforms in CNS tumours. We analysed a matched cohort of 30 CNS tumour samples previously characterised using a rapid nanopore diagnostic workflow. Illumina 5-base whole-genome sequencing was generated for each case, alongside conventional methylation array profiling. Tumour classification was performed using Random Forest, NanoDx, Sturgeon, and mnp-Flex, referencing Heidelberg classifier versions 11 and 12.8. Concordance between nanopore, Illumina 5-base, and standard-of-care methylation array classifications was assessed. Detection of diagnostically relevant genomic alterations, including single nucleotide variants, structural variants, and gene fusions, was compared across platforms. Illumina 5-base sequencing demonstrated strong concordance with rapid nanopore classifications and established methylation array diagnoses. Agreement was consistent across classifiers and reference versions. Both approaches identified key diagnostic genomic alterations, supporting comprehensive molecular characterisation from a single assay. Integrated methylation-aware sequencing platforms enabling simultaneous epigenomic and genomic profiling show robust cross-platform concordance and clinical feasibility for CNS tumour diagnostics.

Read PDF

Similar papers

Open access Sep 2026

Cross-Platform Concordance in DNA Methylation Based Classification of CNS Tumors.

DNA methylation profiling enables precise classification of pediatric central nervous system (CNS) tumors. Oxford Nanopore Technologies (ONT) offers same-day, single-sample methylation readouts, but its concordance with Illumina EPIC arrays in routine diagnostic tasks remains incompletely defined. We profiled 23 pediat...

R. Alanany, S. Sherif, Apryl Sanchez et al. · 0 citations
Open access Aug 2026

A comprehensive benchmark of transcriptome-wide fusion detection using long-read RNA sequencing

The results establish the first comprehensive benchmarking framework for transcriptome-wide fusion detection, using long-read RNA sequencing, and provide practical guidance for selecting sequencing workflows and computational strategies, while identifying key priorities for future algorithm development.

Ryley Dorney, Siyuan Wu, J. Y. Hung et al. · 0 citations
Open access Aug 2026

101 Independent replication and validation of nanopore-based long read sequencing and methylome classification for rapid brain tumour diagnosis

Integrated histopathological-molecular analysis is essential to diagnose and guide precision therapies in brain tumours. Whilst standard of care (SoC) diagnostics takes weeks, long read sequencing (LRS) on Oxford Nanopore Technology (ONT) platform and bioinformatics research tools provide rapid diagnosis within h...

Vassili Crispi, L. Ames, J. Stockton et al. · 0 citations
Sep 2026

Bioinformatics for human long-read whole-genome sequencing

This Primer outlines the computational foundations of long-read whole-genome analysis in human genomics, spanning read processing, mapping, de novo assembly, multi-class variant detection, haplotype phasing, repeat analysis and epigenetic profiling, and highlights key analytical trade-offs between mapping-based and ass...

Xin-Chang Zheng, P. Sanio, Rui-Bang Luo et al. · 0 citations
Open access Sep 2026

Illumina TruPath genome towards comprehensive high-resolution analysis of genomic diversity and structural complexity

TruPath Genome achieves high-resolution detection of SNVs and indels alongside long-range phasing for CNVs and structural variant (SV) refinement and facilitates telomere-to-telomere assemblies and pangenome development, advancing the understanding of genome biology at an unprecedented scale.

Luca Bertoli, Matteo Orlandi, Aurelia Iuliana Timis et al. · 0 citations
Open access Aug 2026

Methyltransferase-assisted single duplex sequencing for detecting circulating tumor DNA

Accurate circulating tumor DNA (ctDNA) detection is limited by high sequencing errors. To address this, we developed Methyltransferase-Assisted Single Duplex sequencing (MASD-seq), which physically links Watson and Crick strands to enable error correction using double-stranded information within a single read pair. MAS...

Zhao-Yu Jiang, Yuxuan Wu, Yu-Qing Guo et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.