Evidence map›Paper›PMID 29337961›Full record

ReviewBritish journal of cancer2018

How the evolution of multicellularity set the stage for cancer.

Anna S Trigos, Richard B Pearson, Anthony T Papenfuss, David L Goode

Open access · hybridAbstract readReview
In one paragraph

Review in British journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
5.5field-weighted citation impact, top 3% 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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 148 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Tracing Genetic Images Formed During Evolution.International journal of molecular sciences · 2026
    Article
  4. Review
  5. Review
  6. Article
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  10. Article
  11. Article
  12. Review
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  14. Reuniting philosophy and science to advance cancer research.Biological reviews of the Cambridge Philosophical Society · 2023
    Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Evolutionary reversion in tumorigenesis.Frontiers in oncology · 2023
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 1 country.

Anna S TrigosComputational Cancer Biology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia.
Richard B PearsonSir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia.
Anthony T PapenfussComputational Cancer Biology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia.
David L GoodeComputational Cancer Biology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia.
Monash University · AUPeter MacCallum Cancer Centre · AUUniversity of Melbourne · AUWalter and Eliza Hall Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neoplastic growth and many of the hallmark properties of cancer are driven by the disruption of molecular networks established during the emergence of multicellularity. Regulatory pathways and molecules that evolved to impose regulatory constraints upon networks established in earlier unicellular organisms enabled greater communication and coordination between the diverse cell types required for multicellularity, but also created liabilities in the form of points of vulnerability in the network that when mutated or dysregulated facilitate the development of cancer. These factors are usually overlooked in genomic analyses of cancer, but understanding where vulnerabilities to cancer lie in the networks of multicellular species would provide important new insights into how core molecular processes and gene regulation change during tumourigenesis. We describe how the evolutionary origins of genes influence their roles in cancer, and how connections formed between unicellular and multicellular genes that act as key regulatory hubs for normal tissue homeostasis can also contribute to malignant transformation when disrupted. Tumours in general are characterised by increased dependence on unicellular processes for survival, and major dysregulation of the control structures imposed on these processes during the evolution of multicellularity. Mounting molecular evidence suggests altered interactions at the interface between unicellular and multicellular genes play key roles in the initiation and progression of cancer. Furthermore, unicellular network regions activated in cancer show high degrees of robustness and plasticity, conferring increased adaptability to tumour cells by supporting effective responses to environmental pressures such as drug exposure. Examining how the links between multicellular and unicellular regions get disrupted in tumours has great potential to identify novel drivers of cancer, and to guide improvements to cancer treatment by identifying more effective therapeutic strategies. Recent successes in targeting unicellular processes by novel compounds underscore the logic of such approaches. Further gains could come from identifying genes at the interface between unicellular and multicellular processes and manipulating the communication between network regions of different evolutionary ages.

Indexed as

AnimalsBiological EvolutionGene Regulatory NetworksHumansNeoplasms

Identifiers

PMID29337961
PMCPMC5785747
OpenAlexW2783340396

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.