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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
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