Evidence map›Paper›PMID 30854468›Full record

ReviewNPJ precision oncology2019

Accumulation of genetic and epigenetic alterations in normal cells and cancer risk.

Hideyuki Takeshima, Toshikazu Ushijima

Abstract readReview
In one paragraph

Review in NPJ precision oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

157 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Tuning epigenetics to enhance cancer virotherapy.Acta pharmaceutica Sinica. B · 2026
    Review
  3. Rethinking Oxidative Stress inLife (Basel, Switzerland) · 2026
    Review
  4. Article
  5. Article
  6. Reactivation ofInternational journal of molecular sciences · 2026
    Article
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  8. Article
  9. Review
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  13. UpregulatedImmunoTargets and therapy · 2026
    Article
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  15. Article
  16. Review
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  19. Review
  20. Review

97 more citing papers are in PubMed but not listed here.

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

2 authors.

Hideyuki TakeshimaDivision of Epigenomics, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, 104-0045 Tokyo, Japan.
Toshikazu UshijimaDivision of Epigenomics, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, 104-0045 Tokyo, Japan.ORCID 0000-0003-3405-7817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancers develop due to the accumulation of genetic and epigenetic alterations. Genetic alterations are induced by aging, mutagenic chemicals, ultraviolet light, and other factors; whereas, epigenetic alterations are mainly by aging and chronic inflammation. The accumulation and patterns of alterations in normal cells reflect our past exposure levels and life history. Most accumulated alterations are considered as passengers, but their accumulation is correlated with cancer drivers. This has been shown for aberrant DNA methylation but has only been speculated for genetic alterations. However, recent technological advancements have enabled measurement of rare point mutations, and studies have shown that their accumulation levels are indeed correlated with cancer risk. When the accumulation levels of aberrant DNA methylation and point mutations are combined, risk prediction becomes even more accurate. When high levels of alterations accumulate, the tissue has a high risk of developing cancer or even multiple cancers and is considered as a "cancerization field", with or without expansion of physiological patches of clonal cells. In this review, we describe the formation of a cancerization field and how we can apply its detection in precision cancer risk diagnosis.

Identifiers

PMID30854468
PMCPMC6403339

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Registered trials

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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.