ArticleNeuro-oncology2025
ROBIN: A unified nanopore-based assay integrating intraoperative methylome classification and next-day comprehensive profiling for ultra-rapid tumor diagnosis.
Article in Neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Exploring the landscape of targetable alterations in patients with glioblastoma.Nature reviews. Clinical oncology · 2026Review
- Advances in Single-Cell and Spatial Omics for Glioblastoma Precision Medicine.Current oncology reports · 2026Review
- Shining a light on brain tumors: a review of Raman spectroscopy in the operating room.Journal of biomedical optics · 2026Review
- Putting the I in AML: Artificial Intelligence and Machine Learning in Acute Myeloid Leukemia.Cells · 2026Review
- Cerebrospinal fluid cell-free DNA sequencing in pediatric CNS tumors: towards liquid molecular neuropathology.Acta neuropathologica · 2026Review
- Intraoperative diagnosis of myxoid glioneuronal tumor guiding safe limited resection: a case report.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026Article
- The emerging role of intraoperative nanopore sequencing on the neurosurgical strategy in paediatric embryonal brain tumours.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026Review
- Long-read sequencing technologies and bioinformatics: a new perspective for decoding DNA methylation modifications.Journal of translational medicine · 2026Review
- Hetairos is a histology-based artificial intelligence model for predicting central nervous system tumor methylation subtypes.Nature cancer · 2026Article
- AI-Based Methods in Neuropathology for Diagnosis and Treatment of Brain Tumors.European journal of neurology · 2026Review
- Nanopore and EPIC array profiling unmask an atypical non-midline H3 K27-altered glioma: a case report.Frontiers in oncology · 2026Article
- AI-Powered Histology for Molecular Profiling in Brain Tumors: Toward Smart Diagnostics from Tissue.Cancers · 2025Review
- Brain tumor classification from FFPE samples using nanopore methylation sequencing.NAR cancer · 2025Article
- GLIMMER: an interim subgroup analysis from an ongoing prospective study evaluating hyperspectral imaging for MGMT promoter methylation in gliomas.Journal of neuro-oncology · 2025Observational
- Introduction of whole genome sequencing as NHS standard of care for glioma patients in two neurosurgical oncology centres: West Midlands.BJC reports · 2025Article
- Shaping Precision Medicine: The Journey of Sequencing Technologies Across Human Solid Tumors.Biomedicines · 2025Review
- Emerging therapeutic strategies in glioblastsoma: drug repurposing, mechanisms of resistance, precision medicine, and technological innovations.Clinical and experimental medicine · 2025Review
Corrections and comments
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18 authors.
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Abstract
backgroundAdvances in our technological capacity to interrogate CNS tumor biology have led to the ever increasing use of genomic sequencing in diagnostic decision making. Presently, CNS tumors are classified based on their epigenetic signatures, leading to a paradigm shift in diagnostic pathways. Such testing can be performed so rapidly using nanopore sequencing that results can be provided intraoperatively. This information greatly improves the fidelity of smear diagnosis and can help surgeons tailor their approach, balancing the risks of surgery with the likely benefit. Nevertheless, full integrated diagnosis may require subsequent additional assays to detect pathognomonic somatic mutations and structural variants, thereby delaying the time to final diagnosis.
methodsHere, we present ROBIN, a tool based on PromethION nanopore sequencing technology that can provide both real-time, intraoperative methylome classification and next-day comprehensive molecular profiling within a single assay. ROBIN utilizes 3 methylation classifiers to improve diagnostic performance in the intraoperative setting.
resultsWe demonstrate classifier performance on 50 prospective intraoperative cases, achieving a diagnostic turnaround time under 2 hours and generating robust tumor classifications within minutes of sequencing. Furthermore, ROBIN can detect single nucleotide variants, copy number variants, and structural variants in real time, and is able to inform a complete integrated diagnosis within 24 hours. Classifier performance demonstrated concordance with final integrated diagnosis in 90% of prospective cases.
conclusionNanopore sequencing can greatly improve turnaround times for standard-of-care diagnostic testing and is furthermore able to reliably provide clinically actionable intraoperative tumor classification.
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