Oncopig soft-tissue sarcomas recapitulate key transcriptional features of human sarcomas

Kyle M. Schachtschneider, Yingkai Liu, Suvi Makelainen, Ole Madsen, Laurie A. Rund, Martien A.M. Groenen, Lawrence B. Schook

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)

Abstract

Human soft-tissue sarcomas (STS) are rare mesenchymal tumors with a 5-year survival rate of 50%, highlighting the need for further STS research. Research has been hampered by limited human sarcoma cell line availability and the large number of STS subtypes, making development of STS cell lines and animal models representative of the diverse human STS subtypes critical. Pigs represent ideal human disease models due to their similar size, anatomy, metabolism, and genetics compared to humans. The Oncopig encodes inducible KRAS G12D and TP53 R167H transgenes, allowing for STS modeling in a spatial and temporal manner. This study utilized Oncopig STS cell line (fibroblast) and tumor (leiomyosarcoma) RNA-seq data to compare Oncopig and human STS expression profiles. Altered expression of 3,360 and 7,652 genes was identified in Oncopig STS cell lines and leiomyosarcomas, respectively. Transcriptional hallmarks of human STS were observed in Oncopig STS, including altered TP53 signaling, Wnt signaling activation, and evidence of epigenetic reprogramming. Furthermore, master regulators of Oncopig STS expression were identified, including FOSL1, which was previously identified as a potential human STS therapeutic target. These results demonstrate the Oncopig STS model's ability to mimic human STS transcriptional profiles, providing a valuable resource for sarcoma research and cell line development.

LanguageEnglish
Article number2624
Number of pages12
JournalScientific Reports
Volume7
DOIs
Publication statusPublished - 2017

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Sarcoma
Cell Line
Leiomyosarcoma
Research
Tumor Cell Line
Transgenes
Epigenomics
Anatomy

Cite this

Schachtschneider, Kyle M. ; Liu, Yingkai ; Makelainen, Suvi ; Madsen, Ole ; Rund, Laurie A. ; Groenen, Martien A.M. ; Schook, Lawrence B. / Oncopig soft-tissue sarcomas recapitulate key transcriptional features of human sarcomas. In: Scientific Reports. 2017 ; Vol. 7.
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abstract = "Human soft-tissue sarcomas (STS) are rare mesenchymal tumors with a 5-year survival rate of 50{\%}, highlighting the need for further STS research. Research has been hampered by limited human sarcoma cell line availability and the large number of STS subtypes, making development of STS cell lines and animal models representative of the diverse human STS subtypes critical. Pigs represent ideal human disease models due to their similar size, anatomy, metabolism, and genetics compared to humans. The Oncopig encodes inducible KRAS G12D and TP53 R167H transgenes, allowing for STS modeling in a spatial and temporal manner. This study utilized Oncopig STS cell line (fibroblast) and tumor (leiomyosarcoma) RNA-seq data to compare Oncopig and human STS expression profiles. Altered expression of 3,360 and 7,652 genes was identified in Oncopig STS cell lines and leiomyosarcomas, respectively. Transcriptional hallmarks of human STS were observed in Oncopig STS, including altered TP53 signaling, Wnt signaling activation, and evidence of epigenetic reprogramming. Furthermore, master regulators of Oncopig STS expression were identified, including FOSL1, which was previously identified as a potential human STS therapeutic target. These results demonstrate the Oncopig STS model's ability to mimic human STS transcriptional profiles, providing a valuable resource for sarcoma research and cell line development.",
author = "Schachtschneider, {Kyle M.} and Yingkai Liu and Suvi Makelainen and Ole Madsen and Rund, {Laurie A.} and Groenen, {Martien A.M.} and Schook, {Lawrence B.}",
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Oncopig soft-tissue sarcomas recapitulate key transcriptional features of human sarcomas. / Schachtschneider, Kyle M.; Liu, Yingkai; Makelainen, Suvi; Madsen, Ole; Rund, Laurie A.; Groenen, Martien A.M.; Schook, Lawrence B.

In: Scientific Reports, Vol. 7, 2624, 2017.

Research output: Contribution to journalArticleAcademicpeer-review

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