Practical Implementation of DNA Methylation and CNV Based CNS Tumor Testing (Virtual Peer-to-Peer Meeting)

This is the recording of the virtual peer-to-peer meeting hosted by Illumina on August 28, 2020.

Session Objectives:

• Describe machine learning approach for CNS tumor classification based on DNA methylation patterns
• Discuss benefits of integrating DNA copy-number analysis into methylation profiling report using case study examples
• Provide guidance for successful implementation of DNA methylation profiling
• Explore future solid tumor applications, classifier development and employing epigenetics to classify tumors of unknown origin
• Interactive discussion for questions and answers with panelists

Experts leading the case study discussions: 

Felix Sahm, MD, PhD, Managing Consultant and Head of the Division Molecular Neuropathology, Department of Neuropathology at the Institute of Pathology, German Cancer Research Center (DKFZ), Heidelberg, Germany

David Solomon, MD, PhD, Director of Molecular Neuro-Oncology, UCSF Clinical Cancer Genomics Laboratory; Assistant Professor, Department of Pathology, UCSF

Eric Vail, MD, Director, Molecular Pathology, Assistant Professor, Pathology, Cedars-Sinai

Andreas von Deimling, MD, Medical Director, Department of Neuropathology, University Clinic Heidelberg, and Head of Clinical Cooperation Unit Neuropathology, DKFZ, Heidelberg, Germany