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Epigenetic and transcriptional heterogeneity define osteosarcoma subtypes and establish targetable vulnerabilities [multiomics]

ABSTRACT: Osteosarcoma is a genomically complex tumor with structural rearrangements, aneuploidy, and chromosomal alterations, resulting in significant intertumoral heterogeneity. This complexity hampers the identification of key oncogenic pathways and subtypes. We hypothesized that chromatin accessibility could uncover molecular features to clarify their transcriptional programs, suggesting new therapies. Using ATAC-seq, H3K27ac profiling, and single-cell multiome analysis, we identified two distinct cellular states in osteosarcoma driven by unique transcription factor networks linked to normal bone development. These subtypes can be detected in patient samples via a specific gene expression signature with prognostic value.

ORGANISM(S): Homo sapiens

PROVIDER: GSE307240 | GEO | 2025/09/29

REPOSITORIES: GEO

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Project description:Uveal melanoma (UM) is the most common primary intraocular malignancy in adults, with a strong predilection for hepatic metastasis, occurring in approximately 50% of cases. Metastatic UM remains highly resistant to therapy and is almost invariably fatal. The strongest genetic drivers of UM metastasis are loss-of-function mutations in tumor suppressor BAP1, an epigenetic regulator that serves as the ubiquitin hydrolase subunit of the polycomb repressive deubiquitinase (PR-DUB) complex, and a key player in global epigenetic regulation. Inactivation of BRCA Associated Protein 1 (BAP1) has been shown to induce widespread epigenetic alterations across multiple model systems. To identify novel therapeutic strategies, we investigated whether targeting the epigenome could reveal new vulnerabilities in UM. We performed high-throughput compound screening using a curated epigenetic inhibitor library and identified BET (bromodomain and extra-terminal domain) inhibition as a particularly promising approach. Interestingly, we observed significant heterogeneity in the efficacy of different BET inhibitors in UM. While previous clinical trials with two BET inhibitors have failed to show efficacy in UM, our findings highlight substantial differences in the potency of specific BET inhibitors for this malignancy. Notably, the BET inhibitor mivebresib (ABBV-075) significantly improved survival rates by 50% in a metastatic UM xenograft mouse model and completely prevented detectable metastases in the bones, spinal cord, and brain. Unexpectedly, RNA sequencing revealed a strong transcriptional overlap between BET inhibition and histone deacetylase (HDAC) inhibition-- an approach currently under clinical evaluation for UM treatment. Both BET and HDAC inhibitors reversed gene expression signatures associated with high metastatic risk and induced a neuronal differentiation-like phenotype in UM cells. Together, our findings demonstrate that UM cells exhibit a distinct vulnerability to BET inhibition and establish BET inhibitors as promising candidates for further clinical evaluation for metastatic UM.

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Epigenetic and transcriptional heterogeneity define osteosarcoma subtypes and establish targetable vulnerabilities [multiomics]

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