The expression landscape and clinical significance of cancer-specific RNA transcripts across human cancers

Abstract Background: Transcript-level analyses allow for the precise characterization of gene expression and its functional role in cancer. However, most of these studies rely on reanalyses of next-generation sequencing data, whose incomplete or inaccurate assemblies limit the comprehensive and faithful characterization of transcripts. To systematically elucidate transcriptomic expression in tumors and define broadly applicable therapeutic strategies, we investigated cancer-specific RNA transcripts (cancer-SRTs) expressed across multiple cancer types based on long-read sequencing data. Methods: We characterized the expression profiles of 44,405