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Detalle de: Identification of BET inhibitors (BETi) against solitary fibrous tumor (SFT) through high-throughput screening (HTS)

Title Identification of BET inhibitors (BETi) against solitary fibrous tumor (SFT) through high-throughput screening (HTS)
Abstract

Cancers, especially fusion oncoprotein (FO)-driven hematological cancers and sarcomas, often develop from a low number of key mutations. Solitary Fibrous Tumor (SFT) is a rare mesenchymal tumor driven by the NAB2-STAT6 oncofusion gene. Currently, the treatment options for SFT remain limited, with anti-angiogenic drugs providing only partial responses with an average survival of two years. We constructed SFT cell models harboring specific NAB2-STAT6 fusion transcripts using the CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) technology, and we used these cells as models of SFT. High-throughput drug screens demonstrated that the BET inhibitor Mivebresib can differentially reduce proliferation in SFT cell models. Subsequently, BET inhibitors Mivebresib and BMS-986158 efficiently reduced tumor growth in an SFT patient-derived xenograft (PDX) animal model. Furthermore, our data showed that NAB2-STAT6 fusions may lead to high levels of DNA damage in SFTs. Consequently, combining BET inhibitors with PARP (Poly (ADP-ribose) polymerase) inhibitors or with ATR inhibitors significantly enhanced anti-proliferative effects in SFT cells. Taken together, this study establishes BET inhibitors Mivebresib and BMS-986158 as promising anti-SFT agents.

Apa Reference Mondaza-Hernandez, J.L., Moura, D.S., Li, Y., Marti, J.L., Gomez-Puertas, P., Nguyen, J.T., Wei, S., Posner, B.A., Meyer, C.A., Bleris, L., Martin-Broto, J. & Hayenga, H.N. (2025). Identification of BET inhibitors (BETi) against solitary fibrous tumor (SFT) through high-throughput screening (HTS). Neoplasia, 70, 101244. 10.1016/j.neo.2025.101244
Doi 10.1016/j.neo.2025.101244
Publication Date Dec 2025
Publication Type Article
Researcher Paulino Gomez-Puertas
Ontology Drug Discovery and design, Genome editing (CRISPR)
Research Groups
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