Evidence map›Paper›PMID 38685127›Full record

ArticleGenome biology2024

Disruption of metazoan gene regulatory networks in cancer alters the balance of co-expression between genes of unicellular and multicellular origins.

Anna S Trigos, Felicia Bongiovanni, Yangyi Zhang, Maia Zethoven, Richard Tothill, Richard Pearson, Anthony T Papenfuss, David L Goode

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Identification of Hub Neutrophil Coexpressed Genes in Acute PancreatitisEndocrine, metabolic & immune disorders drug targets · 2026
    Article
  4. Article
  5. 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

8 authors at 2 institutions in 1 country.

Anna S TrigosPeter MacCallum Cancer Centre, 305 Grattan St., Melbourne, VIC, 3000, Australia. anna.trigos@petermac.org.
Felicia BongiovanniPeter MacCallum Cancer Centre, 305 Grattan St., Melbourne, VIC, 3000, Australia.
Yangyi ZhangPeter MacCallum Cancer Centre, 305 Grattan St., Melbourne, VIC, 3000, Australia.
Maia ZethovenPeter MacCallum Cancer Centre, 305 Grattan St., Melbourne, VIC, 3000, Australia.
Richard TothillCentre for Cancer Research, The University of Melbourne, Parkville, VIC, 3010, Australia.
Richard PearsonPeter MacCallum Cancer Centre, 305 Grattan St., Melbourne, VIC, 3000, Australia.
Anthony T PapenfussPeter MacCallum Cancer Centre, 305 Grattan St., Melbourne, VIC, 3000, Australia.
David L GoodePeter MacCallum Cancer Centre, 305 Grattan St., Melbourne, VIC, 3000, Australia. david.goode@petermac.org.ORCID 0000-0002-3277-6562
The University of Melbourne · AUPeter MacCallum Cancer Centre · AU

Funding

National Health and Medical Research Council 2003115National Health and Medical Research Council 2003887Victorian Cancer Agency MCRF17005
6 · The paper itself

Abstract

backgroundMetazoans inherited genes from unicellular ancestors that perform essential biological processes such as cell division, metabolism, and protein translation. Multicellularity requires careful control and coordination of these unicellular genes to maintain tissue integrity and homeostasis. Gene regulatory networks (GRNs) that arose during metazoan evolution are frequently altered in cancer, resulting in over-expression of unicellular genes. We propose that an imbalance in co-expression of unicellular (UC) and multicellular (MC) genes is a driving force in cancer.

resultsWe combine gene co-expression analysis to infer changes to GRNs in cancer with protein sequence conservation data to distinguish genes with UC and MC origins. Co-expression networks created using RNA sequencing data from 31 tumor types and normal tissue samples are divided into modules enriched for UC genes, MC genes, or mixed UC-MC modules. The greatest differences between tumor and normal tissue co-expression networks occur within mixed UC-MC modules. MC and UC genes not commonly co-expressed in normal tissues form distinct co-expression modules seen only in tumors. The degree of rewiring of genes within mixed UC-MC modules increases with tumor grade and stage. Mixed UC-MC modules are enriched for somatic mutations in cancer genes, particularly amplifications, suggesting an important driver of the rewiring observed in tumors is copy number changes.

conclusionsOur study shows the greatest changes to gene co-expression patterns during tumor progression occur between genes of MC and UC origins, implicating the breakdown and rewiring of metazoan gene regulatory networks in cancer development and progression.

Indexed as

Gene Regulatory NetworksNeoplasmsAnimalsEvolution, MolecularGene Expression Regulation, NeoplasticHumansAtavismCancerEvolutionExpression modulesGene expression

Identifiers

PMID38685127
PMCPMC11057133
OpenAlexW4396222860

What Socratic 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 Socratic graph.