Date: This event took place on June 9, 2016
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Next-generation sequencing (NGS) technologies have revolutionised genomic research by decreasing the cost of sequencing while increasing the throughput. The focus now is on the clinical applications of NGS technology. Clinical application of NGS in cancer can detect clinically actionable genetic/genomic alterations that are critical for cancer care. In certain cancers, patient risk and prognosis can be predicted based on the mutation profile identified by NGS. Many targeted therapies have been developed for cancer patients who bear specific mutations. However, choosing the right NGS techniques for appropriate clinical applications can be challenging, especially in clinical oncology, where the material for testing is often limited and the turnaround time of testing is frequently constrained to just a few days. Currently, targeted NGS approaches have emerged as the best fit for clinical oncology.
In this webcast, Professor Marilyn Li discuss how she has developed and validated multiple NGS panels that allow integrated genomic analysis for the detection of point mutations, small indels, copy number variations, and novel fusion genes in different cancers, as well as mutations associated with cancer predispositions. These panels have been applied to thousands of clinical cases and have provided critic genomic information for precision cancer care.
You will also have the opportunity to ask questions of our speaker, live during the broadcast!
For Research Use Only. Not for Use in Diagnostic Procedures.
Marilyn M. Li, MD
Marilyn M. Li, MD, is the vice chief of the Division of Genomic Diagnostics with The Children’s Hospital of Philadelphia. She is also Professor of Pediatrics and Professor of Clinical Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine.
Moderator: Dr. Jayshan Carpen, Springer Nature
Jayshan is a Senior Publishing Manager for Springer Nature and oversees the custom multimedia unit. Previously he ran science events at the Royal Institution of Great Britain. He received his PhD from the University of Surrey, UK in Neurogenetics. His doctoral thesis focused on identifying polymorphisms associated with diurnal preference and circadian sleep disorders.