Paper - Review
10.1101/GR.257246.119
DOI: 10.1101/GR.257246.119
Abstract
The identification of (gene fusion)
← from RNA sequencing data
→ is a routine task
← in 1⃣ cancer research 2⃣ precision oncology
❓: Fusion detection
→ remains challenging
← despite the availability of many computational tools
❓: Existing methods
← suffer ← from 1⃣ poor prediction accuracy 2⃣ computationally demanding
❗: Arriba
→ a novel fusion detection algorithm
←with 1⃣ high sensitivity 2⃣ short runtime
❗: Arriba
→ identified a variety of (driver fusions)
← many of which affected druggable proteins
The fusion
→ were significantly associated ← with KRAS wild-type tumors
→ involved proteins ← stimulating the MAPK signaling pathway
∴ They substitute → for activating mutations ← in KRAS