Evidence map›Paper›PMID 25934800›Full record

ArticleNucleic acids research2015

Signatures of accelerated somatic evolution in gene promoters in multiple cancer types.

Kyle S Smith, Vinod K Yadav, Brent S Pedersen, Rita Shaknovich, Mark W Geraci, Katherine S Pollard, Subhajyoti De

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Review
  3. iScience · 2021
    Article
  4. Article
  5. Review
  6. Article
  7. RBM10: Harmful or helpful-many factors to consider.Journal of cellular biochemistry · 2018
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Role of non-coding sequence variants in cancer.Nature reviews. Genetics · 2016
    Review
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Kyle S SmithDepartment of Medicine, University of Colorado School of Medicine, Aurora, CO, USA Computational Biosciences Program, University of Colorado-Denver, Aurora, CO, USA.
Vinod K YadavDepartment of Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Brent S PedersenDepartment of Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Rita ShaknovichDivision of Hematology/Oncology, Department of Medicine, and Division of Immunopathology, Department of Pathology, Weill Cornell Medical College, New York, NY, USA.
Mark W GeraciDepartment of Medicine, University of Colorado School of Medicine, Aurora, CO, USA University of Colorado Cancer Center, Aurora, CO, USA.
Katherine S PollardGladstone Institutes and Department of Epidemiology and Biostatistics, University of California San Francisco, CA, USA.
Subhajyoti DeDepartment of Medicine, University of Colorado School of Medicine, Aurora, CO, USA Computational Biosciences Program, University of Colorado-Denver, Aurora, CO, USA University of Colorado Cancer Center, Aurora, CO, USA Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA subhajyoti.de@ucdenver.edu.
University of Colorado Denver · USCornell University · USUniversity of California, San Francisco · USUniversity of Colorado Cancer Center · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
Tissue Bank and Biomarkers CoreP50CA058187 · NCI · UNIVERSITY OF COLORADO DENVER · PI DEGREGORI, JAMES V · 1992 to 2018
$43.8M
Common targeting of the prostacyclin-PPARy axis in COPD and lung cancerR01CA164780 · NCI · UNIVERSITY OF COLORADO DENVER · PI TUDER, RUBIN M. · 2011 to 2014
$2.3M
NCI NIH HHS 2P50-CA058187NCI NIH HHS 5R01-CA164780NCI NIH HHS P30 CA046934NCI NIH HHS P50 CA058187
6 · The paper itself

Abstract

Cancer-associated somatic mutations outside protein-coding regions remain largely unexplored. Analyses of the TERT locus have indicated that non-coding regulatory mutations can be more frequent than previously suspected and play important roles in oncogenesis. Using a computational method called SASE-hunter, developed here, we identified a novel signature of accelerated somatic evolution (SASE) marked by a significant excess of somatic mutations localized in a genomic locus, and prioritized those loci that carried the signature in multiple cancer patients. Interestingly, even when an affected locus carried the signature in multiple individuals, the mutations contributing to SASE themselves were rarely recurrent at the base-pair resolution. In a pan-cancer analysis of 906 samples from 12 tumor types, we detected SASE in the promoters of several genes, including known cancer genes such as MYC, BCL2, RBM5 and WWOX. Nucleotide substitution patterns consistent with oxidative DNA damage and local somatic hypermutation appeared to contribute to this signature in selected gene promoters (e.g. MYC). SASEs in selected cancer gene promoters were associated with over-expression, and also correlated with the age of onset of cancer, aggressiveness of the disease and survival. Taken together, our work detects a hitherto under-appreciated and clinically important class of regulatory changes in cancer genomes.

Indexed as

MutationPromoter Regions, GeneticAdultGene ExpressionGenomicsHumansMiddle AgedNeoplasmsSoftware

Identifiers

PMID25934800
PMCPMC4477653
OpenAlexW2094986300

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.