ArticleEvolutionary applications2019
Tracing the rise of malignant cell lines: Distribution, epidemiology and evolutionary interactions of two transmissible cancers in Tasmanian devils.
Article in Evolutionary applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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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.
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.
Who cites it
27 citing papers in PubMed.
- Metabolic pathways fuelling devil facial tumour diseases.The FEBS journal · 2026Article
- The devil in more detail: Eco-evolutionary genomics of Tasmanian devil persistence despite range-wide spread of a fatal, transmissible cancer.PLoS pathogens · 2025Article
- No Evidence for Distinct Transcriptomic Subgroups of Devil Facial Tumor Disease (DFTD).Evolutionary applications · 2025Article
- Intergenomic signatures of coevolution between Tasmanian devils and an infectious cancer.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Local Ecological Learning: Creating Place-based Knowledge through Collaborative Wildlife Research on Private Lands.Environmental management · 2024Article
- In vitro competition between two transmissible cancers and potential implications for their host, the Tasmanian devil.Evolutionary applications · 2024Article
- The devil is in the detail.Nature ecology & evolution · 2024Article
- The tumour is in the detail: Local phylogenetic, population and epidemiological dynamics of a transmissible cancer in Tasmanian devils.Evolutionary applications · 2023Article
- The evolution of two transmissible cancers in Tasmanian devils.Science (New York, N.Y.) · 2023Article
- Living in human-modified landscapes narrows the dietary niche of a specialised mammalian scavenger.Scientific reports · 2023Article
- Population genetics of clonally transmissible cancers.Nature ecology & evolution · 2022Review
- Disruption of Metapopulation Structure Reduces Tasmanian Devil Facial Tumour Disease Spread at the Expense of Abundance and Genetic Diversity.Pathogens (Basel, Switzerland) · 2021Article
- Extracellular vesicle proteomes of two transmissible cancers of Tasmanian devils reveal tenascin-C as a serum-based differential diagnostic biomarker.Cellular and molecular life sciences : CMLS · 2021Article
- The differentiation state of the Schwann cell progenitor drives phenotypic variation between two contagious cancers.PLoS pathogens · 2021Article
- The immunopeptidomes of two transmissible cancers and their host have a common, dominant peptide motif.Immunology · 2021Article
- Isotopic niche variation in Tasmanian devilsEcology and evolution · 2021Article
- Contemporary and historical selection in Tasmanian devils (Proceedings. Biological sciences · 2021Article
- Quantifying 25 years of disease-caused declines in Tasmanian devil populations: host density drives spatial pathogen spread.Ecology letters · 2021Article
- Group phenotypic composition in cancer.eLife · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
Abstract
Emerging infectious diseases are rising globally and understanding host-pathogen interactions during the initial stages of disease emergence is essential for assessing potential evolutionary dynamics and designing novel management strategies. Tasmanian devils (
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What OpenQuestion holds
Registered trials
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.