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Double-Stranded RNA Expression Signatures to Predict Response to Cancer Therapy (UCLA Case No. 2022-218)
UCLA researchers from the Department of Integrative Biology and Physiology have developed a novel method to profile RNA editing in single cells from lung cancer biopsies as a method to predict patient survival. BACKGROUND: RNA editing occurs naturally in the human transcriptome and has been shown to influence cancer cell behavior and the anti-tumor...
Published: 9/17/2025
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Inventor(s):
Xinshu Xiao
,
Ting Fu
Keywords(s):
Category(s):
Diagnostic Markers > Cancer
,
Therapeutics > Oncology
,
Therapeutics > Immunology And Immunotherapy