ArticleScientific reports2017
Discovery of Cancer Driver Long Noncoding RNAs across 1112 Tumour Genomes: New Candidates and Distinguishing Features.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
68 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- HyDRA: A pipeline for integrating long- and short-read RNAseq data for custom transcriptome assembly.iScience · 2026Article
- Long non-coding RNA NEAT1 mediated lupus nephritis induced podocytes pyroptosis through DNMT1-STING axis.Renal failure · 2025Article
- Cancer driver topologically associated domains identify oncogenic and tumor-suppressive lncRNAs.Genome research · 2025Article
- POCALI: Prediction and Insight on CAncer LncRNAs by Integrating Multi-Omics Data with Machine Learning.Small methods · 2025Article
- Potential biomarkers in early detection of gastric cancer.Frontiers in pharmacology · 2025Review
- Aneuploidy as a driver of human cancer.Nature genetics · 2024Review
- Long Non-Coding RNAs, Nuclear Receptors and Their Cross-Talks in Cancer-Implications and Perspectives.Cancers · 2024Review
- NEAT1 regulates VSMC differentiation and calcification in as long noncoding RNA NEAT1 enhances phenotypic and osteogenic switching of vascular smooth muscle cells in atherosclerosis via scaffolding EZH2.American journal of physiology. Cell physiology · 2024Article
- Integrating Clinical Cancer and PTM Proteomics Data Identifies a Mechanism of ACK1 Kinase Activation.Molecular cancer research : MCR · 2024Article
- Localization is the key to action: regulatory peculiarities of lncRNAs.Frontiers in genetics · 2024Review
- Multi-Omics Mining of lncRNAs with Biological and Clinical Relevance in Cancer.International journal of molecular sciences · 2023Review
- Long noncoding RNA study: Genome-wide approaches.Genes & diseases · 2023Review
- Integrative Genomic Analyses Identify LncRNA Regulatory Networks across Pediatric Leukemias and Solid Tumors.Cancer research · 2023Article
- LncRNA NEAT1 suppresses cellular senescence in hepatocellular carcinoma via KIF11-dependent repression of CDKN2A.Clinical and translational medicine · 2023Article
- Long Non-Coding RNAs as "MYC Facilitators".Pathophysiology : the official journal of the International Society for Pathophysiology · 2023Review
- Tumour mutations in long noncoding RNAs enhance cell fitness.Nature communications · 2023Article
- Dr.Nod: computational framework for discovery of regulatory non-coding drivers in tissue-matched distal regulatory elements.Nucleic acids research · 2023Article
- Widespread perturbation of ETS factor binding sites in cancer.Nature communications · 2023Article
- Dynamic transcriptome analyses reveal mHeliyon · 2023Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Long noncoding RNAs (lncRNAs) represent a vast unexplored genetic space that may hold missing drivers of tumourigenesis, but few such "driver lncRNAs" are known. Until now, they have been discovered through changes in expression, leading to problems in distinguishing between causative roles and passenger effects. We here present a different approach for driver lncRNA discovery using mutational patterns in tumour DNA. Our pipeline, ExInAtor, identifies genes with excess load of somatic single nucleotide variants (SNVs) across panels of tumour genomes. Heterogeneity in mutational signatures between cancer types and individuals is accounted for using a simple local trinucleotide background model, which yields high precision and low computational demands. We use ExInAtor to predict drivers from the GENCODE annotation across 1112 entire genomes from 23 cancer types. Using a stratified approach, we identify 15 high-confidence candidates: 9 novel and 6 known cancer-related genes, including MALAT1, NEAT1 and SAMMSON. Both known and novel driver lncRNAs are distinguished by elevated gene length, evolutionary conservation and expression. We have presented a first catalogue of mutated lncRNA genes driving cancer, which will grow and improve with the application of ExInAtor to future tumour genome projects.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.