Evidence map›Paper›PMID 40074744›Full record

ArticleNature communications2025

The relationship between diet, plasma glucose, and cancer prevalence across vertebrates.

Stefania E Kapsetaki, Anthony J Basile, Zachary T Compton, Shawn M Rupp, Elizabeth G Duke, Amy M Boddy, Tara M Harrison, Karen L Sweazea, Carlo C Maley

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Elephant and the Spandrel.Evolution, medicine, and public health · 2025
    Article
  7. Article
  8. Life history traits and cancer prevalence in birds.Evolution, medicine, and public health · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Stefania E KapsetakiArizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA. std534260@ac.eap.gr.ORCID http://orcid.org/0000-0002-9999-8573
Anthony J BasileCenter for Evolution and Medicine, Arizona State University, Tempe, AZ, USA.ORCID http://orcid.org/0000-0001-5742-7468
Zachary T ComptonArizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA.ORCID http://orcid.org/0000-0002-0558-2316
Shawn M RuppArizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA.
Elizabeth G DukeArizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA.
Amy M BoddyArizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA.ORCID http://orcid.org/0000-0002-7990-2415
Tara M HarrisonArizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA.ORCID http://orcid.org/0000-0002-2072-5936
Karen L SweazeaCenter for Evolution and Medicine, Arizona State University, Tempe, AZ, USA.ORCID http://orcid.org/0000-0003-0345-4086
Carlo C MaleyArizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA.ORCID http://orcid.org/0000-0002-0745-7076

Funding

PHYLOGENIES of Barrett's Esophagus LineagesP01CA091955 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GRADY, WILLIAM MALLORY · 2002 to 2019
$35.9M
Molecular, Cellular and Tissue Characterization UnitU2CCA233254 · NCI · DUKE UNIVERSITY · PI HWANG, E.SHELLEY · 2018 to 2023
$11.4M
The Role of the Microbiome in Cancer Suppression and Susceptibility Across SpeciesU54CA217376 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MALEY, CARLO · 2018 to 2022
$8.6M
Modeling Neoplastic Progression in Barrett's Esophagus - Renewal -2R01CA140657 · NCI · WISTAR INSTITUTE · PI Carlo Maley · 2009 to 2026
$5.0M
T32 Cancer Prevention and Control Training Program Addressing Health DisparitiesT32CA272303 · NCI · UNIVERSITY OF ARIZONA · PI Terry A Badger, Gloria D. Coronado · 2023 to 2026
$1.1M
A cell-cycle induced genetic recorder for simultaneous recovery of cell divisions and lineageR21CA257980 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MALEY, CARLO, WEISS, RON · 2022 to 2023
$576k
NCI NIH HHS P01 CA091955NCI NIH HHS R01 CA140657NCI NIH HHS R21 CA257980NCI NIH HHS T32 CA272303NCI NIH HHS U2C CA233254NCI NIH HHS U54 CA217376
6 · The paper itself

Abstract

Birds have higher plasma glucose concentrations but lower cancer prevalence than other vertebrates. However, this inverse relationship between glucose and cancer may not hold within vertebrate groups. Given that diet affects blood sugar levels, and carnivores have higher cancer risk than herbivores, we also examined whether diet correlates with plasma glucose concentrations. We collected diet, mean plasma glucose concentration, and neoplasia data for up to 273 vertebrate species from existing databases. Across vertebrates, mean plasma glucose concentration negatively correlated with cancer prevalence, but that was mostly driven by differences in mean plasma glucose concentration and cancer prevalence between birds, mammals, and reptiles. Mean plasma glucose concentration was not correlated with diet across vertebrates nor with cancer prevalence within birds, mammals, or reptiles. Primary carnivores had higher neoplasia prevalence than herbivores when controlling for domestication. A hypothetical explanation for our results may be the evolutionary loss or downregulation of genes related to insulin-mediated glucose import in bird cells. This may have led to higher mean plasma glucose concentration, lower intracellular glucose concentrations in the form of glycogen, and production of fewer reactive oxygen species and inflammatory cytokines, potentially contributing to lower neoplasia prevalence in extant birds compared to mammals and reptiles.

Indexed as

Blood GlucoseDietNeoplasmsVertebratesAnimalsBirdsMammalsPrevalenceReptilesBlood Glucose

Identifiers

PMID40074744
PMCPMC11904020

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.