Evidence map›Paper›PMID 30238073›Full record

ReviewAnnals of gastroenterological surgery2018

Cancer evolution and heterogeneity.

Koshi Mimori, Tomoko Saito, Atsushi Niida, Satoru Miyano

Abstract readReview
In one paragraph

Review in Annals of gastroenterological surgery, 2018. 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
–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

20 citing papers in PubMed.

  1. Article
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  18. Cancer evolution and heterogeneity.Annals of gastroenterological surgery · 2018
    Review
  19. 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

4 authors.

Koshi MimoriDepartment of Surgery Kyushu University Beppu Hospital Beppu Japan.ORCID 0000-0003-3897-9974
Tomoko SaitoDepartment of Surgery Kyushu University Beppu Hospital Beppu Japan.
Atsushi NiidaDivision of Health Medical Computational Science Health Intelligence Center Institute of Medical Science The University of Tokyo Tokyo Japan.
Satoru MiyanoLaboratory of Sequence Analysis Human Genome Center Institute of Medical Science University of Tokyo Tokyo Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Undoubtedly, intratumor heterogeneity (ITH) is one of the causes of the intractability of cancers. Recently, technological innovation in genomics has promoted studies on ITH in solid tumors and on the pattern and level of diversity, which varies among malignancies. We profiled the genome in multiple regions of nine colorectal cancer (CRC) cases. The most impressive finding was that in the late phase, a parental clone branched into numerous subclones. We found that minor mutations were dominant in advanced CRC named neutral evolution; that is, driver gene aberrations were observed with high proportion in the early-acquired phase, but low in the late-acquired phase. Then, we validated that neutral evolution could cause ITH in advanced CRC by super-computational analysis. According to the clinical findings, we explored a branching evolutionary process model in cancer evolution, which assumes that each tumor cell has cellular automaton. According to the model, we verified factors to foster ITH with neutral evolution in advanced CRC. In this review, we introduce recent advances in the field of ITH including the general component of ITH, clonal selective factors that consolidate the evolutionary process, and a representative clinical application of ITH.

Indexed as

cellular automatonintratumor heterogeneityThe ratio between the rate of non‐synonymous substitutions per non‐synonymous site and the rate of synonymous substitutions per synonymous sitevariant allele frequencywhole‐exome sequencing

Identifiers

PMID30238073
PMCPMC6139712

What OpenQuestion holds

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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.