Evidence map›Paper›PMID 29760781›Full record

ReviewMolecular cytogenetics2018

Understanding aneuploidy in cancer through the lens of system inheritance, fuzzy inheritance and emergence of new genome systems.

Christine J Ye, Sarah Regan, Guo Liu, Sarah Alemara, Henry H Heng

Open access · goldAbstract readReview
In one paragraph

Review in Molecular cytogenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Cytogenomic Characterization of Murine Cell Line Sarcoma 180 = S-180.International journal of molecular sciences · 2025
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  7. Optical Genome Mapping: A Machine-Based Platform in Cytogenomics.Methods in molecular biology (Clifton, N.J.) · 2024
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  8. The New Era of Cancer Cytogenetics and Cytogenomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  9. Tracking Karyotype Changes in Treatment-Induced Drug-Resistant Evolution.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  10. Studying the Dynamics of Tunneling Tubes and Cellular Spheres.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  11. Practical Approaches for the YeastInternational journal of molecular sciences · 2023
    Review
  12. Article
  13. Review
  14. Article
  15. Revisiting Epithelial Carcinogenesis.International journal of molecular sciences · 2022
    Article
  16. Effects of aneuploidy on cell behaviour and function.Nature reviews. Molecular cell biology · 2022
    Review
  17. Review
  18. The Yin-Yang Dynamics in Cancer Pharmacogenomics and Personalized Medicine.Methods in molecular biology (Clifton, N.J.) · 2022
    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

5 authors at 2 institutions in 1 country.

Christine J Ye1The Division of Hematology/Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109 USA.
Sarah Regan2Center for Molecular Medicine and Genomics, Wayne State University School of Medicine, Detroit, MI 48201 USA.
Guo Liu2Center for Molecular Medicine and Genomics, Wayne State University School of Medicine, Detroit, MI 48201 USA.
Sarah Alemara2Center for Molecular Medicine and Genomics, Wayne State University School of Medicine, Detroit, MI 48201 USA.
Henry H Heng2Center for Molecular Medicine and Genomics, Wayne State University School of Medicine, Detroit, MI 48201 USA.ORCID 0000-0003-1475-9547
Wayne State University · USUniversity of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the past 15 years, impressive progress has been made to understand the molecular mechanism behind aneuploidy, largely due to the effort of using various -omics approaches to study model systems (e.g. yeast and mouse models) and patient samples, as well as the new realization that chromosome alteration-mediated genome instability plays the key role in cancer. As the molecular characterization of the causes and effects of aneuploidy progresses, the search for the general mechanism of how aneuploidy contributes to cancer becomes increasingly challenging: since aneuploidy can be linked to diverse molecular pathways (in regards to both cause and effect), the chances of it being cancerous is highly context-dependent, making it more difficult to study than individual molecular mechanisms. When so many genomic and environmental factors can be linked to aneuploidy, and most of them not commonly shared among patients, the practical value of characterizing additional genetic/epigenetic factors contributing to aneuploidy decreases.

resultsBased on the fact that cancer typically represents a complex adaptive system, where there is no linear relationship between lower-level agents (such as each individual gene mutation) and emergent properties (such as cancer phenotypes), we call for a new strategy based on the evolutionary mechanism of aneuploidy in cancer, rather than continuous analysis of various individual molecular mechanisms. To illustrate our viewpoint, we have briefly reviewed both the progress and challenges in this field, suggesting the incorporation of an evolutionary-based mechanism to unify diverse molecular mechanisms. To further clarify this rationale, we will discuss some key concepts of the genome theory of cancer evolution, including system inheritance, fuzzy inheritance, and cancer as a newly emergent cellular system.

conclusionIllustrating how aneuploidy impacts system inheritance, fuzzy inheritance and the emergence of new systems is of great importance. Such synthesis encourages efforts to apply the principles/approaches of complex adaptive systems to ultimately understand aneuploidy in cancer.

Indexed as

Adaptive systemAneuploidyCancer evolutionComplexityEmergence of new genomeFuzzy inheritanceGenome theoryNon-clonal chromosome aberrations (NCCAs)Punctuated evolutionSystem inheritance

Identifiers

PMID29760781
PMCPMC5946397
OpenAlexW2802202063

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.