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LINE-1 Methylation Analysis in Mesenchymal Stem Cells Treated with Osteosarcoma-Derived Extracellular Vesicles
Published on: February 1, 2020
Comparative analysis of genome-wide DNA methylation identifies patterns that associate with conserved transcriptional
Lauren J Mills1, Milcah C Scott2, Pankti Shah3
1Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA; Childhood Cancer Genomics Group, Department of Pediatric, School of Medicine, University of Minnesota, Minneapolis, MN 55455, USA.
Abstract:
Osteosarcoma is an aggressive tumor of the bone that primarily affects young adults and adolescents. Osteosarcoma is characterized by genomic chaos and heterogeneity. While inactivation of tumor protein p53 (TP53) is nearly universal other high frequency mutations or structural variations have not been identified. Despite this genomic heterogeneity, key conserved transcriptional programs associated with survival have been identified across human, canine and induced murine osteosarcoma. The epigenomic landscape, including DNA methylation, plays a key role in establishing transcriptional programs in all cell types. The role of epigenetic dysregulation has been studied in a variety of cancers but has yet to be explored at scale in osteosarcoma. Here we examined genome-wide DNA methylation patterns in 24 human and 44 canine osteosarcoma samples identifying groups of highly correlated DNA methylation marks in human and canine osteosarcoma samples. We also link specific DNA methylation patterns to key transcriptional programs in both human and canine osteosarcoma. Building on previous work, we built a DNA methylation-based measure for the presence and abundance of various immune cell types in osteosarcoma. Finally, we determined that the underlying state of the tumor, and not changes in cell composition, were the main driver of differences in DNA methylation across the human and canine samples. SIGNIFICANCE: Genome wide comparison of DNA methylation patterns in osteosarcoma across two species lays the ground work for the exploration of DNA methylation programs that help establish conserved transcriptional programs in the context of varied mutational landscapes.
Insights
Osteosarcoma epigenetics reveal conserved DNA methylation patterns across species. These patterns influence survival and tumor state, offering new therapeutic targets for this aggressive bone cancer.
Area of Science:
- Oncology
- Epigenetics
- Comparative Genomics
Background:
- Osteosarcoma is an aggressive bone cancer common in adolescents and young adults.
- It exhibits significant genomic heterogeneity, with TP53 inactivation being a near-universal event.
- Conserved transcriptional programs linked to survival exist despite varied mutations.
Purpose of the Study:
- To explore the role of epigenetics, specifically DNA methylation, in osteosarcoma.
- To compare genome-wide DNA methylation patterns between human and canine osteosarcoma.
- To link DNA methylation to transcriptional programs and immune cell composition.
Main Methods:
- Genome-wide DNA methylation profiling of 24 human and 44 canine osteosarcoma samples.
- Identification of correlated DNA methylation marks across species.
- Development of a DNA methylation-based immune cell abundance predictor.
- Analysis of methylation differences in relation to tumor state and cell composition.
Main Results:
- Identified conserved groups of correlated DNA methylation marks in human and canine osteosarcoma.
- Linked specific DNA methylation patterns to key transcriptional programs.
- Established that tumor state, not cell composition, drives DNA methylation differences.
- Developed a method to estimate immune cell abundance using DNA methylation data.
Conclusions:
- Genome-wide DNA methylation comparisons across species provide a foundation for understanding conserved epigenetic programs in osteosarcoma.
- Epigenetic dysregulation plays a significant role in establishing conserved transcriptional programs despite diverse mutational landscapes.
- This research opens avenues for exploring DNA methylation-based therapeutic strategies for osteosarcoma.
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