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Journal of veterinary internal medicine2018; 33(1); 241-250; doi: 10.1111/jvim.15375

Differences in miRNA differential expression in whole blood between horses with sarcoid regression and progression.

Abstract: Currently no methods are available to predict the clinical outcome of individual horses with equine sarcoid (ES) disease. Objective: To investigate if whole blood microRNA (miRNA) profiles can predict the long-term development of ES tumors. Methods: Five horses with regression and 5 with progression of ES lesions monitored over 5-7 years and 5 control horses free of ES for at least 5 years. Methods: For this cohort study, RNA extracted from whole blood samples from the regression, progression, and control groups was used for high throughput sequencing. Known and novel miRNAs were identified using miRDeep2 and differential expression analysis was carried out by the DESeq2 algorithm. Target gene and pathway prediction as well as enrichment and network analyses were conducted using TarBase, mirPath, and metaCore from GeneGo. Results: Fourteen miRNAs were differentially expressed between regression and progression groups after accounting for the control condition: 4 miRNAs (28.6%) were upregulated and 10 miRNAs (71.4%) were downregulated with >2-fold change. Seven of the 10 downregulated miRNAs are encoded in an miRNA cluster on equine chromosome 24, homologous to the well-known 14q32 cluster in humans. Their target genes show enrichment for pathways involved in viral carcinogenesis. Conclusions: Whole blood miRNA expression profiles are associated with long-term ES growth in horses and warrant further validation as prognostic biomarkers in a larger study cohort. Deregulation of miRNAs on equine chromosome 24 might represent a trigger for ES development.
Publication Date: 2018-12-02 PubMed ID: 30506726PubMed Central: PMC6335546DOI: 10.1111/jvim.15375Google Scholar: Lookup
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  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The researchers of this study investigated if profiles of a type of genetic material called miRNA found in the blood of horses could be used to predict the development of equine sarcoid (ES) tumors. They discovered differences in the expression of certain miRNAs between horses whose ES tumors were regressing or progressing, suggesting that these might be useful as prognostic biomarkers.

Study Objective and Methodology

  • The aim of the study was to determine if whole blood miRNA profiles could help predict the long-term development of equine sarcoid (ES) tumors, a condition currently without reliable predictive methods.
  • A cohort study was conducted on a group of fifteen horses. It consisted of horses with ES tumors either progressing or regressing over 5-7 years, and healthy control horses which had been free of ES for at least 5 years.
  • RNA, which includes miRNA, was extracted from blood samples of these horse groups and subjected to high throughput sequencing.
  • Identification of known and novel miRNAs was done using a data analysis software called miRDeep2. The DESeq2 algorithm was used to perform differential expression analysis.
  • Predictions were made for target genes and pathways using TarBase and mirPath. Network analyses were then conducted using metaCore from GeneGo for functional enrichment.

Research Findings

  • 14 miRNAs were found to be differentially expressed between the regression and progression horse groups. Of these, 4 miRNAs were upregulated and 10 miRNAs were downregulated by at least 2-fold.
  • Seven of the ten downregulated miRNAs are located in a cluster on equine chromosome 24, similar to a well-known miRNA cluster in humans on chromosome 14q32.
  • The target genes of these downregulated miRNAs are involved in pathways that play a role in causing cancer, particularly viral carcinogenesis.

Conclusions and Future Directions

  • The findings highlight potential of whole blood miRNA expression profiles as prognostic biomarkers for long-term ES growth in horses, however, further validation in a larger study cohort is needed.
  • The study also suggests that deregulation of miRNAs on chromosome 24 in horses might initiate ES development. Future studies could investigate this in more detail.

Cite This Article

APA
Unger L, Jagannathan V, Pacholewska A, Leeb T, Gerber V. (2018). Differences in miRNA differential expression in whole blood between horses with sarcoid regression and progression. J Vet Intern Med, 33(1), 241-250. https://doi.org/10.1111/jvim.15375

Publication

ISSN: 1939-1676
NlmUniqueID: 8708660
Country: United States
Language: English
Volume: 33
Issue: 1
Pages: 241-250

Researcher Affiliations

Unger, Lucia
  • Swiss Institute of Equine Medicine, Department of Clinical Veterinary Medicine, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Jagannathan, Vidhya
  • Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Pacholewska, Alicja
  • Swiss Institute of Equine Medicine, Department of Clinical Veterinary Medicine, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
  • Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Leeb, Tosso
  • Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Gerber, Vinzenz
  • Swiss Institute of Equine Medicine, Department of Clinical Veterinary Medicine, Vetsuisse Faculty, University of Bern, Bern, Switzerland.

MeSH Terms

  • Animals
  • Biomarkers, Tumor / blood
  • Disease Progression
  • Female
  • Horse Diseases / blood
  • Horse Diseases / pathology
  • Horses / blood
  • Horses / genetics
  • Male
  • MicroRNAs / blood
  • MicroRNAs / genetics
  • Sequence Analysis, RNA / veterinary
  • Skin Neoplasms / blood
  • Skin Neoplasms / pathology
  • Skin Neoplasms / veterinary

Grant Funding

  • ismequine.ch / Swiss Institute Research Funds
  • Swiss Institute of Equine Medicine
  • University of Bern
  • Swiss Institute of Equine Medicine
  • University of Bern

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Citations

This article has been cited 5 times.
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