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November 13, 2019

Targeted Detection of MET and NTRK Oncogenic Variants in Routine Molecular Analysis

Genome Webinar

This webinar discusses advances in detecting MET and NTRK variants in tumor samples, which holds significant potential for diagnostic and research applications.  

MET oncogenic variants leading to diverse exon 14 splicing alterations are emerging as a new predictive biomarker that would be sensitizing to MET-targeted tyrosine kinase inhibitors. The splice site DNA somatic variants result in RNA splicing-based skipping of MET exon 14, which supports targeted therapies.

Fusions in the NTRK1, NTRK2 and NTRK3 genes, which encode neurotrophin receptors TRKA, TRKB and TRKC, result in overexpressed kinase function, leading to oncogenesis in a wide variety of adult and pediatric solid tumors. Novel compounds have recently been developed that selectively inhibit TRK fusion proteins. As these alterations affect multiple histologies, detecting the presence of fusions across these genes greatly advances clinical cancer research.

In this webinar, Prof. Hans-Ulrich Schildhaus presents results from a study using a targeted, MALDI-TOF based method for the detection of MET exon 14 alterations and fusions across NTRK1, NTRK2 and NTRK3, and its applicability for routine screening.

Oct
14
Sponsored by
Inivata

Circulating tumor DNA (ctDNA) can allow clinicians and researchers to better understand which patients are at high risk of recurrence and should be offered intensified chemotherapy or selected for clinical trials.

Oct
29

Illumina’s BaseSpace Sequence Hub (BSSH) supports primary and secondary analysis of massively parallel sequencing data and can be applied to gene panel data that is generated as part of a clinical cancer assay performed in a pathology lab.

Nov
05

This webinar will provide an overview of novel proximal and distal sampling methods that have promise to improve patient outcomes from esophageal cancer.

Nov
09
Sponsored by
Akoya Biosciences

Most recent single-cell and spatial biology studies have focused on the network of interactions between different cell types and their spatial context.