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Divergent therapeutic and prognostic impacts of immunogenic features in undifferentiated pleomorphic sarcoma and myxofibrosarcoma

GSE285944 Homo sapiens Expression profiling by high throughput sequencing 23 samples 2025/06/30 GPL24676
Summary
Undifferentiated pleomorphic sarcoma (UPS) and myxofibrosarcoma (MFS) are genetically complex soft tissue sarcomas with distinct morphological features. Treatment typically involves surgery, often combined with neoadjuvant chemo- or radiotherapy. To better understand the immunobiology of these sarcomas and its associations with treatment response and prognosis, we performed transcriptomic and immunophenotypic profiling. RNA sequencing was performed on 13 UPS and 10 MFS, and immunological profiles were compared with soft tissue sarcoma data from The Cancer Genome Atlas (n = 206 including 44 UPS and 17 MFS). Immune contextures were further evaluated in 14 UPS and 15 MFS using imaging mass cytometry. Characterization of T cell and macrophage infiltration in tumors was further assessed in 23 UPS and 22 MFS through multispectral immunofluorescence and immunohistochemical analysis. UPS and MFS demonstrated immunogenic features compared to other soft tissue sarcomas, with subsets of UPS and MFS demonstrating high T cell infiltration, while UPS demonstrated a higher infiltration by myeloid cells as compared to MFS. Prognostically, T cells and CD68+CD163+ macrophages were associated with metastasis-free survival in UPS but not in MFS. Notably, in UPS, neoadjuvant radiotherapy appeared to induce cytotoxic T cell infiltration and depletion of myeloid cells, whereas these effects were not observed in MFS. These findings highlight important differences in the immunobiology of UPS and MFS with therapeutic and prognostic implications. These differences should be taken into account given the growing availability of immunotherapeutic options for treating patients with soft tissue sarcomas.
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NCBI GEO page ↗ Paper (PMID 40601026) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
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