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No Evidence for Distinct Transcriptomic Subgroups of Devil Facial Tumor Disease (DFTD)
Cleopatra Petrohilos1,2, Emma Peel1,2, Kimberley C Batley1
1School of Life and Environmental Sciences The University of Sydney Sydney New South Wales Australia.
Abstract:
Contagious cancers represent one of the least understood types of infections in wildlife. Devil Facial Tumor Disease (comprised of two different contagious cancers, DFT1 and DFT2) has led to an 80% decline in the Tasmanian devil (Sarcophilus harrisii ) population at the regional level since it was first observed in 1996. There are currently no treatment options for the disease, and research efforts are focused on vaccine development. Although DFT1 is clonal, phylogenomic studies have identified different genetic variants of the pathogen. We postulated that different genetic strains may have different gene expression profiles and would therefore require different vaccine components. Here, we aimed to test this hypothesis by applying two types of unsupervised clustering (hierarchical and k-means) to 35 DFT1 transcriptomes selected from the disease's four major phylogenetic clades. The two algorithms produced conflicting results, and there was low support for either method individually. Validation metrics, such as the Gap statistic method, the Elbow method, and the Silhouette method, were ambiguous, contradictory, or indicated that our dataset only consisted of a single cluster. Collectively, our results show that the different phylogenetic clades of DFT1 all have similar gene expression profiles. Previous studies have suggested that transcriptomic differences exist between tumours from different locations. However, our study differs in that it considers both tumor purity and genotypic clade when analysing differences between DFTD biopsies. These results have important implications for therapeutic development, as they indicate that a single vaccine or treatment approach has the potential to be effective for a large cross-section of DFT1 tumors. As one of the largest studies to use transcriptomics to investigate phenotypic variation within a single contagious cancer, it also provides novel insight into this unique group of diseases.
Insights
Devil Facial Tumor Disease (DFTD) research shows that different genetic variants of the contagious cancer DFT1 share similar gene expression profiles. This finding supports a unified vaccine or treatment approach for Tasmanian devils.
Area of Science:
- Wildlife pathology
- Cancer biology
- Genomics and transcriptomics
Background:
- Contagious cancers, like Devil Facial Tumor Disease (DFTD), are poorly understood wildlife infections.
- DFTD has caused an 80% population decline in Tasmanian devils since 1996.
- Current research focuses on vaccine development due to a lack of treatments.
Purpose of the Study:
- To investigate if different genetic variants of DFT1 exhibit distinct gene expression profiles.
- To determine if transcriptomic differences necessitate varied vaccine components for DFT1 strains.
- To assess the feasibility of a universal vaccine or treatment for DFT1.
Main Methods:
- Applied hierarchical and k-means unsupervised clustering to 35 DFT1 transcriptomes.
- Selected transcriptomes from DFT1's four major phylogenetic clades.
- Utilized validation metrics including Gap statistic, Elbow, and Silhouette methods.
Main Results:
- Unsupervised clustering algorithms yielded conflicting results with low individual method support.
- Validation metrics were ambiguous, contradictory, or suggested a single data cluster.
- Analysis revealed similar gene expression profiles across different DFT1 phylogenetic clades, irrespective of tumor purity.
Conclusions:
- The study indicates that DFT1 variants possess largely similar gene expression profiles.
- A single vaccine or therapeutic strategy may be effective against a broad range of DFT1 tumors.
- Findings offer valuable insights into contagious cancers and inform therapeutic development for DFTD.
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