Evidence map›Paper›PMID 28498882›Full record

ReviewBriefings in bioinformatics2018

Mutational signatures and mutable motifs in cancer genomes.

Igor B Rogozin, Youri I Pavlov, Alexander Goncearenco, Subhajyoti De, Artem G Lada, Eugenia Poliakov, Anna R Panchenko, David N Cooper

Open access · bronzeAbstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

38 citing papers in PubMed, 56 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Sequencing of high-frequency mutated genes in breast cancer (BRCA) and associated-functions analysis.International journal of clinical and experimental pathology · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Cancer driver mutations: predictions and reality.Trends in molecular medicine · 2023
    Review
  18. Article
  19. Article
  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

8 authors at 7 institutions in 2 countries.

Igor B RogozinNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, USA.
Youri I PavlovEppley Institute for Cancer Research, University of Nebraska Medical Center, USA.
Alexander GoncearencoNational Center for Biotechnology Information, National Institutes of Health, USA.
Subhajyoti DeRutgers University Cancer Institute, USA.
Artem G LadaDepartment Microbiology and Molecular Genetics, University of California, Davis, USA.
Eugenia PoliakovLaboratory of Retinal Cell and Molecular Biology, National Eye Institute, National Institutes of Health, USA.
Anna R PanchenkoNational Center for Biotechnology Information, National Institutes of Health, USA.
David N CooperInstitute of Medical Genetics, Cardiff University, UK.
National Institutes of Health · USCardiff University · GBNational Center for Biotechnology Information · USNational Eye Institute · USRutgers, The State University of New Jersey · USUniversity of California, Davis · USUniversity of Nebraska Medical Center · US

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
Protein-protein binding: regulation and effect of disease mutationsZIALM090313 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PANCHENKO, ANNA · 2013 to 2018
$5.2M
NCI NIH HHS P30 CA072720
6 · The paper itself

Abstract

Cancer is a genetic disorder, meaning that a plethora of different mutations, whether somatic or germ line, underlie the etiology of the 'Emperor of Maladies'. Point mutations, chromosomal rearrangements and copy number changes, whether they have occurred spontaneously in predisposed individuals or have been induced by intrinsic or extrinsic (environmental) mutagens, lead to the activation of oncogenes and inactivation of tumor suppressor genes, thereby promoting malignancy. This scenario has now been recognized and experimentally confirmed in a wide range of different contexts. Over the past decade, a surge in available sequencing technologies has allowed the sequencing of whole genomes from liquid malignancies and solid tumors belonging to different types and stages of cancer, giving birth to the new field of cancer genomics. One of the most striking discoveries has been that cancer genomes are highly enriched with mutations of specific kinds. It has been suggested that these mutations can be classified into 'families' based on their mutational signatures. A mutational signature may be regarded as a type of base substitution (e.g. C:G to T:A) within a particular context of neighboring nucleotide sequence (the bases upstream and/or downstream of the mutation). These mutational signatures, supplemented by mutable motifs (a wider mutational context), promise to help us to understand the nature of the mutational processes that operate during tumor evolution because they represent the footprints of interactions between DNA, mutagens and the enzymes of the repair/replication/modification pathways.

Indexed as

GenomicsMutationDNADNA MethylationEvolution, MolecularGene ExpressionGenetic Predisposition to DiseaseHumansModels, GeneticMutagensNeoplasmsOncogenesSelection, GeneticDNAMutagens

Identifiers

PMID28498882
PMCPMC6454500
OpenAlexW2612847024

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.