Evidence map›Paper›PMID 34579650›Full record

ArticleBMC genomics2021

Spatial variation in gene expression of Tasmanian devil facial tumors despite minimal host transcriptomic response to infection.

Christopher P Kozakiewicz, Alexandra K Fraik, Austin H Patton, Manuel Ruiz-Aravena, David G Hamilton, Rodrigo Hamede, Hamish McCallum, Paul A Hohenlohe, Mark J Margres, Menna E Jones and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Intergenomic signatures of coevolution between Tasmanian devils and an infectious cancer.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  5. Article
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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

11 authors at 5 institutions in 3 countries.

Christopher P KozakiewiczSchool of Biological Sciences, Washington State University, Pullman, Washington, USA. Chris.Kozakiewicz@wsu.edu.
Alexandra K FraikSchool of Biological Sciences, Washington State University, Pullman, Washington, USA.
Austin H PattonSchool of Biological Sciences, Washington State University, Pullman, Washington, USA.
Manuel Ruiz-AravenaDepartment of Microbiology & Immunology, Montana State University, Bozeman, MT, USA.
David G HamiltonSchool of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia.
Rodrigo HamedeSchool of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia.
Hamish McCallumEnvironmental Futures Research Institute, Griffith University, Nathan, Queensland, Australia.
Paul A HohenloheDepartment of Biological Sciences, Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID, USA.
Mark J MargresSchool of Biological Sciences, Washington State University, Pullman, Washington, USA.
Menna E JonesSchool of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia.
Andrew StorferSchool of Biological Sciences, Washington State University, Pullman, Washington, USA.
Washington State University · USUniversity of Tasmania · AUGriffith University · AUMontana State University · USUniversity of Idaho · US

Funding

Evolution of cancer transmissionR01GM126563 · NIGMS · WASHINGTON STATE UNIVERSITY · PI STORFER, ANDREW T · 2017 to 2020
$2.3M
NIGMS NIH HHS R01 GM126563
6 · The paper itself

Abstract

backgroundTransmissible cancers lie at the intersection of oncology and infectious disease, two traditionally divergent fields for which gene expression studies are particularly useful for identifying the molecular basis of phenotypic variation. In oncology, transcriptomics studies, which characterize the expression of thousands of genes, have identified processes leading to heterogeneity in cancer phenotypes and individual prognoses. More generally, transcriptomics studies of infectious diseases characterize interactions between host, pathogen, and environment to better predict population-level outcomes. Tasmanian devils have been impacted dramatically by a transmissible cancer (devil facial tumor disease; DFTD) that has led to widespread population declines. Despite initial predictions of extinction, populations have persisted at low levels, due in part to heterogeneity in host responses, particularly between sexes. However, the processes underlying this variation remain unknown.

resultsWe sequenced transcriptomes from healthy and DFTD-infected devils, as well as DFTD tumors, to characterize host responses to DFTD infection, identify differing host-tumor molecular interactions between sexes, and investigate the extent to which tumor gene expression varies among host populations. We found minimal variation in gene expression of devil lip tissues, either with respect to DFTD infection status or sex. However, 4088 genes were differentially expressed in tumors among our sampling localities. Pathways that were up- or downregulated in DFTD tumors relative to normal tissues exhibited the same patterns of expression with greater intensity in tumors from localities that experienced DFTD for longer. No mRNA sequence variants were associated with expression variation.

conclusionsExpression variation among localities may reflect morphological differences in tumors that alter ratios of normal-to-tumor cells within biopsies. Phenotypic variation in tumors may arise from environmental variation or differences in host immune response that were undetectable in lip biopsies, potentially reflecting variation in host-tumor coevolutionary relationships among sites that differ in the time since DFTD arrival.

Indexed as

Facial NeoplasmsMarsupialiaAnimalsImmunityTranscriptomeHost-pathogen coevolutionPopulation transcriptomicsTransmissible cancerWildlife disease

Identifiers

PMID34579650
PMCPMC8477496
OpenAlexW3203827308

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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.