Evidence map›Paper›PMID 27270430›Full record

ReviewOncogene2017

Base changes in tumour DNA have the power to reveal the causes and evolution of cancer.

M Hollstein, L B Alexandrov, C P Wild, M Ardin, J Zavadil

Open access · hybridAbstract readReview
In one paragraph

Review in Oncogene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 80 citations in OpenAlex.

  1. Trial
  2. Article
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  6. Article
  7. Review
  8. Applications of Gold and Silver Nanoparticles in Theranostics.Applied biochemistry and biotechnology · 2022
    Review
  9. Fibromodulin Gene Variants (Disease markers · 2022
    Article
  10. Molecular Damage in Aging.Nature aging · 2021
    Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
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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

5 authors at 3 institutions in 3 countries.

M HollsteinMolecular Mechanisms and Biomarkers, International Agency for Research on Cancer, World Health Organization, Lyon, France.
L B AlexandrovTheoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, Los Alamos, NM, USA.
C P WildInternational Agency for Research on Cancer, World Health Organization, Lyon, France.
M ArdinMolecular Mechanisms and Biomarkers, International Agency for Research on Cancer, World Health Organization, Lyon, France.
J ZavadilMolecular Mechanisms and Biomarkers, International Agency for Research on Cancer, World Health Organization, Lyon, France.ORCID 0000-0003-0640-5562
Centre international de recherche sur le cancer · FRLos Alamos National Laboratory · USUniversity of Leeds · GB

Funding

World Health Organization 001
6 · The paper itself

Abstract

Next-generation sequencing (NGS) technology has demonstrated that the cancer genomes are peppered with mutations. Although most somatic tumour mutations are unlikely to have any role in the cancer process per se, the spectra of DNA sequence changes in tumour mutation catalogues have the potential to identify the mutagens, and to reveal the mutagenic processes responsible for human cancer. Very recently, a novel approach for data mining of the vast compilations of tumour NGS data succeeded in separating and precisely defining at least 30 distinct patterns of sequence change hidden in mutation databases. At least half of these mutational signatures can be readily assigned to known human carcinogenic exposures or endogenous mechanisms of mutagenesis. A quantum leap in our knowledge of mutagenesis in human cancers has resulted, stimulating a flurry of research activity. We trace here the major findings leading first to the hypothesis that carcinogenic insults leave characteristic imprints on the DNA sequence of tumours, and culminating in empirical evidence from NGS data that well-defined carcinogen mutational signatures are indeed present in tumour genomic DNA from a variety of cancer types. The notion that tumour DNAs can divulge environmental sources of mutation is now a well-accepted fact. This approach to cancer aetiology has also incriminated various endogenous, enzyme-driven processes that increase the somatic mutation load in sporadic cancers. The tasks now confronting the field of molecular epidemiology are to assign mutagenic processes to orphan and newly discovered tumour mutation patterns, and to determine whether avoidable cancer risk factors influence signatures produced by endogenous enzymatic mechanisms. Innovative research with experimental models and exploitation of the geographical heterogeneity in cancer incidence can address these challenges.

Indexed as

Polymorphism, Single NucleotideComputational BiologyDisease ProgressionDNA, NeoplasmGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansNeoplasmsPrognosisSequence Analysis, DNADNA, Neoplasm

Identifiers

PMID27270430
PMCPMC5241425
OpenAlexW2411358710

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.