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Periostin promotes sarcoma growth by increasing tumor associated macrophages. [CITE-Seq]

GSE302846 Mus musculus Expression profiling by high throughput sequencing; Other 4 samples Submitted 2025/10/20 Platform GPL24247
Summary
Soft tissue sarcomas (STS) are characterized by abundant extracellular matrix (ECM) deposition, yet the functional contribution of specific ECM components remains poorly understood. Here, we identify Periostin (POSTN), a matricellular protein, as a regulator of sarcoma progression and the tumor immune microenvironment. Analysis of human sarcoma datasets revealed that high POSTN expression correlates with poor prognosis and elevated expression of ECM-related and myeloid cell-associated genes. In murine genetic models of sarcoma, tumors expressing high levels of Postn displayed enhanced expression of ECM genes and monocyte-recruiting cytokines. Functional silencing of Postn in vivo reduced tumor growth without altering tumor cell proliferation or intrinsic signaling pathways, suggesting a non-cell-autonomous mechanism. Instead, Postn-deficient tumors showed increased infiltration of CD4+ and CD8+ T cells and reduced proportions of immunosuppressive myeloid cells, including tumor-associated macrophages (TAMs). Single-cell RNA sequencing revealed that Postn silencing reprograms the myeloid compartment, increasing interferon-responsive and pro-inflammatory subsets. Mechanistically, recombinant POSTN promoted monocyte migration and maturation into macrophages in vitro, supporting its role as a chemoattractant and differentiation cue. Therapeutic neutralization of POSTN partially recapitulated the immunologic remodeling but was insufficient to reduce tumor burden as monotherapy.
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Direct links to NCBI, no account and no request form: the whole study as GSE302846_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 PRJNA1292264 and SRA study SRP601316. Searching any of these in the dataset finder brings you back here.

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