Reprocessing and analysis of high-throughput data to identify novel therapeutic non-coding targets in cancer

Genome-wide studies have shown that our genome is pervasively transcribed, producing a complex pool of coding and non-coding transcripts that shape the cancer transcriptome. Long non-coding RNAs or lncRNAs dominate the non-coding transcriptome and are emerging as key regulatory factors in human disease and development. Through re-analysis of RNA-sequencing data from 10000 cancer patients across 33 cancer types (The Cancer Genome Atlas), we define a PAN-cancer lncRNA landscape, revealing insights in cancer-specific lncRNAs with therapeutic and diagnostic potential.