Related Experiment Video
Updated: Feb 3, 2026

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
Published on: April 5, 2018
The Genomic Basis of Tumor Regression in Tasmanian Devils (Sarcophilus harrisii)
Mark J Margres1, Manuel Ruiz-Aravena2, Rodrigo Hamede2,3
1School of Biological Sciences, Washington State University.
Abstract:
Understanding the genetic basis of disease-related phenotypes, such as cancer susceptibility, is crucial for the advancement of personalized medicine. Although most cancers are somatic in origin, a small number of transmissible cancers have been documented. Two such cancers have emerged in the Tasmanian devil (Sarcophilus harrisii) and now threaten the species with extinction. Recently, cases of natural tumor regression in Tasmanian devils infected with the clonally contagious cancer have been detected. We used whole-genome sequencing and FST-based approaches to identify the genetic basis of tumor regression by comparing the genomes of seven individuals that underwent tumor regression with those of three infected individuals that did not. We found three highly differentiated candidate genomic regions containing several genes related to immune response and/or cancer risk, indicating that the genomic basis of tumor regression was polygenic. Within these genomic regions, we identified putative regulatory variation in candidate genes but no nonsynonymous variation, suggesting that natural tumor regression may be driven, at least in part, by differential host expression of key loci. Comparative oncology can provide insight into the genetic basis of cancer risk, tumor development, and the pathogenicity of cancer, particularly due to our limited ability to monitor natural, untreated tumor progression in human patients. Our results support the hypothesis that host immune response is necessary for triggering tumor regression, providing candidate genes that may translate to novel treatments in human and nonhuman cancers.
Insights
Tasmanian devils show natural tumor regression due to genetic factors. These findings in a transmissible cancer offer insights into cancer immunity and potential treatments for human and nonhuman cancers.
Area of Science:
- Genomics
- Comparative Oncology
- Conservation Biology
Background:
- Transmissible cancers pose extinction risks, notably in Tasmanian devils.
- Natural tumor regression has been observed in Tasmanian devils with contagious cancer.
- Understanding the genetic underpinnings of tumor regression is vital for personalized medicine.
Purpose of the Study:
- To identify the genetic basis of tumor regression in Tasmanian devils.
- To compare genomes of devils with and without tumor regression.
- To investigate genes related to immune response and cancer risk.
Main Methods:
- Whole-genome sequencing was employed.
- FST-based approaches were used for genomic comparison.
- Genomes of seven individuals with tumor regression were compared to three without.
Main Results:
- Three highly differentiated genomic regions associated with tumor regression were identified.
- These regions contain genes linked to immune response and cancer risk.
- Putative regulatory variation, not nonsynonymous variation, was found in candidate genes.
Conclusions:
- The genetic basis of tumor regression in Tasmanian devils is polygenic.
- Differential host gene expression likely drives tumor regression.
- Host immune response is crucial for tumor regression, offering potential therapeutic targets for cancers.
Related Concept Videos
Regression Toward the Mean
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Correlation and Regression
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Genomics
Microsoft Excel: Regression Analysis
To perform regression...

