Active Cancer Genetics & Molecular Biology

Transmissible cancer evolution and host interaction

In plain English

AI plain-English summary

A single dog or Tasmanian devil can pass living cancer cells directly to another animal, creating an infectious tumour lineage that spreads like a contagious disease. These transmissible cancers—only three known instances exist in mammals—offer a rare window into how cancers evolve and interact with their hosts over time. Most cancers arise and die within a single individual, making it difficult to see the long-term patterns of mutation, immune evasion, and tumour evolution. This project fills that gap by sequencing 1,100 tumours from across each cancer’s geographic range, combining whole-genome, bulk RNA, and single-cell RNA data. The researcher will build time-resolved family trees for each cancer clone, track how mutations arise and what causes them, and analyse how host cells contribute to the tumour microenvironment. By linking genetic data, immune cell composition, and clinical outcomes, the work aims to explain why some infected animals survive while others succumb. This is fundamental science. It will not produce a treatment or diagnostic tool in the short term. But understanding how a cancer adapts to new hosts over decades could reveal general principles of tumour evolution and immune evasion—insights that might eventually inform how we predict or manage cancers in humans.

View original technical description
Transmissible cancers are malignant somatic cell lineages that spread between individuals by the allogeneic transfer of living cancer cells. These cancers, whose three known instances in mammals affect dogs and Tasmanian devils, provide a unique perspective on cancer evolution and host interaction. I will investigate this by deeply sequencing whole genomes from 1100 tumours selected from across each cancer’s range, together with matched bulk RNA sequencing and targeted single-cell RNA sequencing. Time-resolved phylogenetic trees for each clone will be annotated with mutation and gene expression data, and the source and consequence of mutation explored. Host cell contribution to the tumour microenvironment, and its variation across hundreds of tumours, will be assessed using allelic and cell-type deconvolution. Combining genetic, microenvironment composition and clinical data, I will explain how the immunological interface between allogeneic cancer and host varies between individuals, and how this interaction controls the outcome of disease. The inherent heterogeneity and short lifespans of most cancers may obscure their underlying biological patterns. By capturing variation in hundreds of clonally derived tumours inhabiting different hosts, I seek to deeply probe the mutational, evolutionary and immunological principles of cancer.

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Researchers

Elizabeth Murchison (EPMC Awardee)Mike Stratton (EPMC Awardee)

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Original classification

Investigator Award in Science

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