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 PMID:23410975  

Modeling clear cell sarcomagenesis in the mouse: cell of origin differentiation state impacts tumor characteristics.

Krystal M Straessler | Kevin B Jones | Hao Hu | Huifeng Jin | Matt van de Rijn | Mario R Capecchi
Cancer cell | 2013

Clear cell sarcoma (CCS) of tendons and aponeuroses is a deadly soft-tissue malignancy resembling melanoma, with a predilection for young adults. EWS-ATF1, the fusion product of a balanced chromosomal translocation between chromosomes 22 and 12, is considered the definitional feature of the tumor. Conditional expression of the EWS-ATF1 human cDNA in the mouse generates CCS-like tumors with 100% penetrance. Tumors, developed through varied means of initiating expression of the fusion oncogene, model human CCS morphologically, immunohistochemically, and by genome-wide expression profiling. We also demonstrate that although fusion oncogene expression in later stages of differentiation can transform mesenchymal progenitor cells and generate tumors resembling CCS generally, expression in cells retaining stem cell markers permits the full melanoma-related phenotype.

Pubmed ID: 23410975

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: K08CA138764K08
  • Agency: NIGMS NIH HHS, United States
    Id: R37 GM021168
  • Agency: NCI NIH HHS, United States
    Id: R01 CA210165
  • Agency: NIGMS NIH HHS, United States
    Id: T32 GM007464
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM021168
  • Agency: NCI NIH HHS, United States
    Id: R01 CA112270
  • Agency: Howard Hughes Medical Institute, United States
  • Agency: NCI NIH HHS, United States
    Id: P30CA042014
  • Agency: NCI NIH HHS, United States
    Id: K08 CA138764
  • Agency: NCI NIH HHS, United States
    Id: P30 CA042014

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Gene Expression Omnibus (GEO) (tool)

RRID:SCR_007303

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

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