Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis Journal Article


Authors: Carlevaro-Fita, J.; Lanzós, A.; Feuerbach, L.; Hong, C.; Mas-Ponte, D.; Pedersen, J. S.; PCAWG Drivers and Functional Interpretation Group; Johnson, R.; PCAWG Consortium
Contributors: Kahles, A.; Larsson, E.; Lehmann, K. V.; Sander, C.; Liu, E. M.
Article Title: Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis
Abstract: Long non-coding RNAs (lncRNAs) are a growing focus of cancer genomics studies, creating the need for a resource of lncRNAs with validated cancer roles. Furthermore, it remains debated whether mutated lncRNAs can drive tumorigenesis, and whether such functions could be conserved during evolution. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we introduce the Cancer LncRNA Census (CLC), a compilation of 122 GENCODE lncRNAs with causal roles in cancer phenotypes. In contrast to existing databases, CLC requires strong functional or genetic evidence. CLC genes are enriched amongst driver genes predicted from somatic mutations, and display characteristic genomic features. Strikingly, CLC genes are enriched for driver mutations from unbiased, genome-wide transposon-mutagenesis screens in mice. We identified 10 tumour-causing mutations in orthologues of 8 lncRNAs, including LINC-PINT and NEAT1, but not MALAT1. Thus CLC represents a dataset of high-confidence cancer lncRNAs. Mutagenesis maps are a novel means for identifying deeply-conserved roles of lncRNAs in tumorigenesis. © 2020, The Author(s).
Journal Title: Communications Biology
Volume: 3
ISSN: 2399-3642
Publisher: Springer Nature  
Date Published: 2020-02-05
Start Page: 56
Language: English
DOI: 10.1038/s42003-019-0741-7
PUBMED: 32024996
PROVIDER: scopus
PMCID: PMC7002399
DOI/URL:
Notes: Article -- Export Date: 2 March 2020 -- Source: Scopus
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  1. Erik Larsson
    11 Larsson
  2. Chris Sander
    210 Sander
  3. Andre Kahles
    31 Kahles
  4. Kjong Van Stephan Fritz Lehmann
    22 Lehmann
  5. Minwei Liu
    24 Liu