ArticleeLife2017
Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate.
Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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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.
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Who cites it
27 citing papers in PubMed, 43 citations in OpenAlex.
- Deciphering the genetic underlying causes of sex differences in multiple myeloma incidence and mortality.HGG advances · 2026Article
- Targeting Regulatory Noncoding RNAs in Human Cancer: The State of the Art in Clinical Trials.Pharmaceutics · 2025Review
- Identifying somatic driver mutations in cancer with a language model of the human genome.Computational and structural biotechnology journal · 2025Article
- Elevated incidence of somatic mutations at prevalent genetic sites.Briefings in bioinformatics · 2024Article
- Widespread perturbation of ETS factor binding sites in cancer.Nature communications · 2023Article
- A regulatory network comprising let-7 miRNA and SMUG1 is associated with good prognosis in ER+ breast tumours.Nucleic acids research · 2022Article
- Interpretation of the role of germline and somatic non-coding mutations in cancer: expression and chromatin conformation informed analysis.Clinical epigenetics · 2022Review
- Spectrum of DNA mismatch repair failures viewed through the lens of cancer genomics and implications for therapy.Clinical science (London, England : 1979) · 2022Article
- Comparative assessment of genes driving cancer and somatic evolution in non-cancer tissues: an update of the Network of Cancer Genes (NCG) resource.Genome biology · 2022Review
- Association of mutation signature effectuating processes with mutation hotspots in driver genes and non-coding regions.Nature communications · 2022Article
- The landscape and driver potential of site-specific hotspots across cancer genomes.NPJ genomic medicine · 2021Article
- Multi-resolution modeling of a discrete stochastic process identifies causes of cancer.... International Conference on Learning Representations · 2021Article
- Untangling a complex web: Computational analyses of tumor molecular profiles to decode driver mechanisms.Journal of genetics and genomics = Yi chuan xue bao · 2020Review
- Combined burden and functional impact tests for cancer driver discovery using DriverPower.Nature communications · 2020Article
- Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis.Communications biology · 2020Article
- Article
- Modeling and analysis of site-specific mutations in cancer identifies known plus putative novel hotspots and bias due to contextual sequences.Computational and structural biotechnology journal · 2020Article
- MutSpot: detection of non-coding mutation hotspots in cancer genomes.NPJ genomic medicine · 2020Article
- Computational methods for detecting cancer hotspots.Computational and structural biotechnology journal · 2020Review
- Discovering long noncoding RNA predictors of anticancer drug sensitivity beyond protein-coding genes.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-coding mutations may drive cancer development. Statistical detection of non-coding driver regions is challenged by a varying mutation rate and uncertainty of functional impact. Here, we develop a statistically founded non-coding driver-detection method, ncdDetect, which includes sample-specific mutational signatures, long-range mutation rate variation, and position-specific impact measures. Using ncdDetect, we screened non-coding regulatory regions of protein-coding genes across a pan-cancer set of whole-genomes (n = 505), which top-ranked known drivers and identified new candidates. For individual candidates, presence of non-coding mutations associates with altered expression or decreased patient survival across an independent pan-cancer sample set (n = 5454). This includes an antigen-presenting gene (
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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.