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A sarcoma is a cancer that arises from uncontrolled cell growth in tissues of mesodermal origins, such as connective tissue, bone, cartilage, fat or muscle. There are around 100 different subtypes of sarcoma that can be classified into three broad groups: soft tissue sarcoma; primary bone sarcoma; and gastro-intestinal stromal tumours.
Cancer associated fibroblasts can shape the tumor microenvironment (TME) and modulate immune infiltration. Here the authors characterize the TME in preclinical models of softtissue sarcomas, identifying a subset of “glycolytic” cancer-associated fibroblasts that inhibit cytotoxic T cell infiltration into the tumor parenchyma.
Subramanian et al. use the EcoTyper machine-learning framework to characterize the tumor, immune and stromal cell states and ecosystems that comprise sarcomas.
In this Journal Club, Góss dos Santos discusses a study that successfully generated sarcoma-derived organoids and utilized them to identify a novel therapeutic target.