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dc.contributor.authorCarlevaro-Fita, Joana
dc.contributor.authorLanzós, Andrés
dc.contributor.authorFeuerbach, Lars
dc.contributor.authorHong, Chen
dc.contributor.authorMas-Ponte, David
dc.contributor.authorPedersen, Jakob Skou
dc.contributor.authorJohnson, Rory
dc.contributor.authorKellis, Manolis
dc.contributor.authorPCAWG Drivers and Functional Interpretation Group
dc.date.accessioned2021-01-19T20:25:17Z
dc.date.available2021-01-19T20:25:17Z
dc.date.issued2020-02
dc.date.submitted2018-03
dc.identifier.issn2399-3642
dc.identifier.urihttps://hdl.handle.net/1721.1/129450
dc.description.abstractLong 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.en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/s42003-019-0741-7en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNatureen_US
dc.titleCancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesisen_US
dc.typeArticleen_US
dc.identifier.citationCarlevaro-Fita, Joana et al. "Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis." Communications Biology 3, 1 (February 2020): 56 © 2020 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.relation.journalCommunications Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-01-06T19:13:48Z
dspace.orderedauthorsCarlevaro-Fita, J; Lanzós, A; Feuerbach, L; Hong, C; Mas-Ponte, D; Pedersen, JS; Abascal, F; Amin, SB; Bader, GD; Barenboim, J; Beroukhim, R; Bertl, J; Boroevich, KA; Brunak, S; Campbell, PJ; Chakravarty, D; Chan, CWY; Chen, K; Choi, JK; Deu-Pons, J; Dhingra, P; Diamanti, K; Fink, JL; Fonseca, NA; Frigola, J; Gambacorti-Passerini, C; Garsed, DW; Gerstein, M; Getz, G; Gonzalez-Perez, A; Guo, Q; Gut, IG; Haan, D; Hamilton, MP; Haradhvala, NJ; Harmanci, AO; Helmy, M; Herrmann, C; Hess, JM; Hobolth, A; Hodzic, E; Hong, C; Hornshøj, H; Isaev, K; Izarzugaza, JMG; Johnson, R; Johnson, TA; Juul, M; Juul, RI; Kahles, A; Kahraman, A; Kellis, M; Khurana, E; Kim, J; Kim, JK; Kim, Y; Komorowski, J; Korbel, JO; Kumar, S; Larsson, E; Lawrence, MS; Lee, D; Lehmann, KV; Li, S; Li, X; Lin, Z; Liu, EM; Lochovsky, L; Lou, S; Madsen, T; Marchal, K; Martincorena, I; Martinez-Fundichely, A; Maruvka, YE; McGillivray, PD; Meyerson, W; Muiños, F; Mularoni, L; Nakagawa, H; Nielsen, MM; Paczkowska, M; Park, K; Park, K; Pedersen, JS; Pich, O; Pons, T; Pulido-Tamayo, S; Raphael, BJ; Reimand, J; Reyes-Salazar, I; Reyna, MA; Rheinbay, E; Rubin, MA; Rubio-Perez, C; Sabarinathan, R; Sahinalp, SC; Saksena, Gen_US
dspace.date.submission2021-01-06T19:13:51Z
mit.journal.volume3en_US
mit.journal.issue1en_US
mit.licenseOPEN_ACCESS_POLICY


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