Transcriptional intermediary factor 1 gamma-based multitarget gene therapeutic strategy for triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is an aggressive subtype lacking effective targeted therapies. A multitarget gene therapy was developed and validated to overcome molecular heterogeneity and compensatory survival signaling in TNBC. A codon-optimized human transcriptional intermediary factor 1 gamma (opti-hTIF1γ) gene therapy was evaluated in ex vivo-cultured patient biopsy tissues and in orthotopic and mammary intraductal mouse models, and the underlying mechanisms were investigated using pathway and immune-functional analyses. Ex vivo findings were further validated using patient-derived cells and complementary mechanistic studies, including ubiquitination assays, chromatin immunoprecipitation, and functional macrophage coculture analyses, to define the molecular basis of TIF1γ-mediated antitumor activity. Transduction of opti-hTIF1γ to ex vivo-cultured biopsy tissues from TNBC patients suppressed epithelial-to-mesenchymal transition and proliferation while inducing apoptosis. In orthotopic and mammary intraductal mouse models, opti-hTIF1γ effectively suppressed tumor growth and lung metastasis. Mechanistically, opti-hTIF1γ inhibits β-catenin via ubiquitination-dependent degradation and inhibits the SMAD-dependent TGFβ pathway by binding to SMAD2/3. In parallel, it suppresses the SMAD-independent TGFβ pathway via ubiquitination and caspase-3-associated degradation of STAT3, leading to the inhibition of TAK1. Furthermore, opti-hTIF1γ downregulates STAT3-dependent immune modulators such as CD47 and CXCL5 in TNBC, enhancing macrophage phagocytosis. These findings position opti-hTIF1γ as a promising multitarget gene therapeutic strategy for TNBC through concurrent suppression of tumorigenic signaling and reprogramming of the immune landscape.
Cancer
Care/Management

Authors

Park Park, Kim Kim, Yun Yun, Cha Cha, Moon Moon, Yun Yun, Kim Kim, Im Im, Lee Lee, Park Park, Kim Kim, Lee Lee, Lee Lee, Cho Cho, Lee Lee, Kim Kim
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