Modeling Ewing Sarcoma Lung Metastasis

Atreyi Dasgupta, Lyazat Kurenbekova, Tajhal D. Patel, Kimal Rajapakshe, Gargi Ghosal, Bikesh Nirala, Cristian Coarfa, Jason Yustein

Research output: Contribution to journalArticlepeer-review

Abstract

Ewing Sarcoma (EwS) is the second most common malignant bone tumor in adolescents and young adults. The single-most powerful predictor of outcome in EwS is presence of metastatic burden at the time of diagnosis. Patients with metastatic Ewing Sarcoma have an abysmal 5-year survival rate of 10%-25%, which has not changed over the past 30-40 years. Thus, unraveling underlying mechanisms of EwS metastasis are imperative for developing effective therapeutic measures. Investigations towards this goal are limited by the lack of reliable genetically engineered mouse models and specialized metastatic models. Using two established cell lines, A673 and TC71, we generated lung specific metastatic cell lines by serial orthotopic intra-tibial injection followed by isolation of cells from lung metastases. The lung metastatic lines generated exhibit distinct differential molecular signatures from the parental cells when analyzed using a multi-omics approach. These signatures overlapped with EwS patient primary bone and metastatic lung specimens supporting the clinical relevance of these preclinical models of EwS.

Original languageEnglish (US)
Article numbere670
JournalCurrent Protocols
Volume3
Issue number2
DOIs
StatePublished - Feb 2023

Keywords

  • Ewing sarcoma
  • intra-tibial
  • lung
  • metastasis
  • micro-environment

ASJC Scopus subject areas

  • General Immunology and Microbiology
  • General Pharmacology, Toxicology and Pharmaceutics
  • Medical Laboratory Technology
  • General Biochemistry, Genetics and Molecular Biology
  • Health Informatics
  • General Neuroscience

Fingerprint

Dive into the research topics of 'Modeling Ewing Sarcoma Lung Metastasis'. Together they form a unique fingerprint.

Cite this