Unique genomic features and deeply-conserved functions of long non-coding RNAs in the Cancer LncRNA Census (CLC)
Joana Carlevaro-FitaiD, Andrés LanzósiD, Lars FeuerbachiD, Chen HongiD, David Mas-PonteiD, Jakob Skou PederseniD, PCAWG Drivers and Functional Interpretation Group, Federico AbascaliD, Samirkumar B. AminiD, Gary D. BaderiD, Jonathan Barenboim, Rameen BeroukhimiD, Johanna BertliD, Keith A. BoroevichiD, Søren BrunakiD, Peter J. CampbelliD, Dimple ChakravartyiD, Calvin Wing Yiu ChaniD, Ken Chen, Jung Kyoon ChoiiD, Jordi Deu-PonsiD, Priyanka DhingraiD, Klev DiamantiiD, J. Lynn FinkiD, Nuno A. FonsecaiD, , S. Cenk ŞahinalpiD
Abstract
Long non-coding RNAs (lncRNAs) that drive tumorigenesis are a growing focus of cancer genomics studies. To facilitate further discovery, we have created the \"Cancer LncRNA Census\" (CLC), a manually-curated and strictly-defined compilation of lncRNAs with causative roles in cancer. CLC has two principle applications: first, as a resource for training and benchmarking de novo identification methods; and second, as a dataset for studying the fundamental properties of these genes.\n\nCLC Version 1 comprises 122 lncRNAs implicated in 29 distinct cancers. LncRNAs are included based on functional or genetic evidence for causative roles in cancer progression. All belong to the GENCODE reference annotation, to enable integration across projects and datasets. For each entry, the evidence type, biological activity (oncogene or tumour suppressor), source reference and cancer type are recorded. Supporting its usefulness, CLC genes are significantly enriched amongst de novo predicted driver genes from PCAWG. CLC genes are distinguished from other lncRNAs by a series of features consistent with biological function, including gene length, high expression and sequence conservation of both exons and promoters. We identify a trend for CLC genes to be co-localised with known protein-coding cancer genes along the human genome. Finally, by integrating data from transposon-mutagenesis functional screens, we show that mouse orthologues of CLC genes tend also to be cancer genes.\n\nThus CLC represents a valuable resource for research into long non-coding RNAs in cancer. Their evolutionary and genomic properties have implications for understanding disease mechanisms and point to conserved functions across ~80 million years of evolution.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 189
- FWCI
- 11.96
- Field percentile
- top 1%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Cancer LncRNA Census 2 (CLC2): an enhanced resource reveals clinical features of cancer lncRNAs
A. Vancura, A. Lanzos, … R. Johnson·bioRxiv·Apr 28, 2020
- Cancer Driver Topologically Associated Domains identify oncogenic and tumor suppressive lncRNAs
Ziyan Rao, Min Zhang, … Dongyu Zhao·Genome ResearchPeer-reviewed·Aug 1, 2025
- Is evolutionary conservation a useful predictor for cancer long noncoding RNAs? Insights from the Cancer lncRNA Census 3
A. Vancura, A. H. Gutierrez, … S. Haefliger·bioRxiv·Sep 1, 2022
- Comprehensive functional profiling of long non-coding RNAs through a novel pan-cancer integration approach and modular analysis of their protein-coding gene association networks
Kevin Walters, Radmir Sarsenov, … James R. Bradford·BMC GenomicsPeer-reviewed·Jun 3, 2019
- Functional Enrichment Analysis of Deregulated Long Non-Coding RNAs in Cancer Based on their Genomic Neighbors
Gülden Olgun, Öznur Taştan·ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)Peer-reviewed·Sep 21, 2020
- Pan-cancer discovery of driver mutations in long noncoding RNAs reveals widespread functional rewiring of RNA regulatory elements
Sunandini Ramnarayanan, Roofiya Koya, … Rory Johnson·bioRxiv·Jun 12, 2026