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Metastasis-initiating osteosarcoma subpopulations establish paracrine interactions with both lung and tumor cells to create a metastatic niche

GSE293148 Homo sapiens; Mus musculus Expression profiling by high throughput sequencing 4 samples Submitted 2025/08/11 Platform GPL20301Platform GPL25526
Summary
Osteosarcoma is an aggressive and deadly bone tumor, primarily afflicting children, adolescents, and young adults. Poor outcomes for osteosarcoma patients are intricately linked with the development of lung metastasis. While lung metastasis is responsible for nearly all deaths caused by osteosarcoma, identification of biologically defined, metastasis-targeting therapies remains elusive because the underlying cellular and molecular mechanisms that govern metastatic colonization of circulating tumor cells to the lung remains poorly understood. While thousands of tumor cells are released into circulation each day, very few can colonize the lung. Herein, using a combination of a novel organotypic metastasis in vitro model, single-cell RNA sequencing, human xenograft, and murine immunocompetent osteosarcoma models, we find that metastasis is initiated by a subpopulation of hypo-proliferative cells with the unique capacity to sustain production of metastasis promoting cytokines such as IL6 and CXCL8 in response to lung-epithelial derived IL1α. Critically, genomic and pharmacologic disruption of IL1 signaling in osteosarcoma cells significantly reduces metastatic progression. Collectively, our study supports that tumor-stromal interactions are important for metastasis, and suggests that metastatic competency is driven, in part, by the tumor cell’s ability to respond to the metastatic niche. Our findings support that disruption of tumor-stromal signaling is a promising therapeutic approach to disrupt metastasis progression.
Published in
Metastasis-Initiating Osteosarcoma Subpopulations Establish Paracrine Interactions with Lung and Tumor Cells to Create a Metastatic Niche
Reinecke JB, Jimenez Garcia L, Saraf AJ et al. · Cancer research 2025 · PMID 40882022 · doi:10.1158/0008-5472.CAN-24-3360
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Direct links to NCBI, no account and no request form: the whole study as GSE293148_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1242884 and SRA study SRP573682. Searching any of these in the dataset finder brings you back here.

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