Evidence map›Paper›PMID 28484005›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Altered interactions between unicellular and multicellular genes drive hallmarks of transformation in a diverse range of solid tumors.

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

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 4 pooled it
7.7field-weighted citation impact, top 2% 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

105 citing papers in PubMed, 4 syntheses or guidelines pooled it, 224 citations in OpenAlex.

  1. Pooled it
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  4. Pooled it
  5. Review
  6. Article
  7. Tracing Genetic Images Formed During Evolution.International journal of molecular sciences · 2026
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  14. Cancer as an evolutionary reversal-time for a paradigm shift.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2026
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  18. Evolutionary Transcriptomics of Cancer Development.International journal of molecular sciences · 2025
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45 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 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; david.goode@petermac.org.
University of Melbourne · AUMonash University · AUPeter MacCallum Cancer Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumors of distinct tissues of origin and genetic makeup display common hallmark cellular phenotypes, including sustained proliferation, suppression of cell death, and altered metabolism. These phenotypic commonalities have been proposed to stem from disruption of conserved regulatory mechanisms evolved during the transition to multicellularity to control fundamental cellular processes such as growth and replication. Dating the evolutionary emergence of human genes through phylostratigraphy uncovered close association between gene age and expression level in RNA sequencing data from The Cancer Genome Atlas for seven solid cancers. Genes conserved with unicellular organisms were strongly up-regulated, whereas genes of metazoan origin were primarily inactivated. These patterns were most consistent for processes known to be important in cancer, implicating both selection and active regulation during malignant transformation. The coordinated expression of strongly interacting multicellularity and unicellularity processes was lost in tumors. This separation of unicellular and multicellular functions appeared to be mediated by 12 highly connected genes, marking them as important general drivers of tumorigenesis. Our findings suggest common principles closely tied to the evolutionary history of genes underlie convergent changes at the cellular process level across a range of solid cancers. We propose altered activity of genes at the interfaces between multicellular and unicellular regions of human gene regulatory networks activate primitive transcriptional programs, driving common hallmark features of cancer. Manipulation of cross-talk between biological processes of different evolutionary origins may thus present powerful and broadly applicable treatment strategies for cancer.

Indexed as

Evolution, MolecularAnimalsCarcinogenesisCell Transformation, NeoplasticGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGenome, HumanHumansModels, GeneticNeoplasmsOncogenesPhenotypeStress, PhysiologicalSystems Biologyatavismcancerevolutionsystems biologytranscriptomics

Identifiers

PMID28484005
PMCPMC5474804
OpenAlexW2612580399

What OpenQuestion holds

Textmetadata
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.