Kinase profiling of liposarcomas using RNAi and drug screening assays identified druggable targets

Deepika Kanojia, Manoj Garg, Jacqueline Martinez, M. T. Anand, Samuel B. Luty, Ngan B. Doan, Jonathan W. Said, Charles Forscher, Jeffrey W. Tyner, H. Phillip Koeffler

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


Background: Liposarcoma, the most common soft tissue tumor, is understudied cancer, and limited progress has been made in the treatment of metastatic disease. The Achilles heel of cancer often is their kinases that are excellent therapeutic targets. However, very limited knowledge exists of therapeutic critical kinase targets in liposarcoma that could be potentially used in disease management. Methods: Large RNAi and small-molecule tyrosine kinase inhibitor screens were performed against the proliferative capacity of liposarcoma cell lines of different subtypes. Each small molecule inhibitor was either FDA approved or in a clinical trial. Results: Screening assays identified several previously unrecognized targets including PTK2 and KIT in liposarcoma. We also observed that ponatinib, multi-targeted tyrosine kinase inhibitor, was the most effective drug with anti-growth effects against all cell lines. In vitro assays showed that ponatinib inhibited the clonogenic proliferation of liposarcoma, and this anti-growth effect was associated with apoptosis and cell cycle arrest at the G0/G1 phase as well as a decrease in the KIT signaling pathway. In addition, ponatinib inhibited in vivo growth of liposarcoma in a xenograft model. Conclusions: Two large-scale kinase screenings identified novel liposarcoma targets and a FDA-approved inhibitor, ponatinib with clear anti-liposarcoma activity highlighting its potential therapy for treatment of this deadly tumor.

Original languageEnglish (US)
Article number173
JournalJournal of Hematology and Oncology
Issue number1
StatePublished - Nov 13 2017


  • Kinase inhibitor
  • Liposarcoma
  • Ponatinib
  • Therapeutics

ASJC Scopus subject areas

  • Hematology
  • Molecular Biology
  • Oncology
  • Cancer Research


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