Abstract:Identifying fusion genes in solid tumors is crucial for precision diagnosis and treatment of cancer patients. However, poor RNA quality may pose a major challenge to the reliability of fusion detection. In this study, an optimized RNA fusion detection method using targeted next-generation sequencing was developed and validated to detect gene fusions in solid tumors using formalin-fixed, paraffin-embedded (FFPE) samples, where the RNA quality standard DV200 was as low as 20%. Uniquely designed probes that targe… Show more
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