We've updated our Privacy Policy to make it clearer how we use your personal data. We use cookies to provide you with a better experience. You can read our Cookie Policy here.

Smarter Fusion Detection for Cancer Diagnostics

A target focusing on an orange cancer cell amongst blue cells
Credit: iStock

Fusion transcripts, resulting from gene fusions, play a significant role in tumorigenesis and the resulting proteins are prime targets for cancer diagnostics and therapies. 

Not all fusion genes are readily detected at the DNA level from relevant fusion genes which modify the RNA and protein function, especially in limited tumors specimens. Thus, RNA analysis offers better detection sensitivity, which is critical when working with FFPE tumor samples with degraded material quality.

This app note highlights a robust targeted RNA enrichment workflow that integrates automation to expedite library preparation and data analysis.

Download this app note to discover a method that: 

  • Enhances the sensitivity of fusion detection
  • Enables precise tumor classification 
  • Accurately informs treatment decisions with actionable insights
Brought to you by

Download this App Note for FREE Below!
Information you provide will be shared with the sponsors for this content. Technology Networks or its sponsors may contact you to offer you content or products based on your interest in this topic. You may opt-out at any time.