| Autor: |
Tang, Shaoshuai, Wang, Yunzhi, Luo, Rongkui, Fang, Rundong, Liu, Yufeng, Xiang, Hang, Ran, Peng, Tong, Yexin, Sun, Mingjun, Tan, Subei, Huang, Wen, Huang, Jie, Lv, Jiacheng, Xu, Ning, Yao, Zhenmei, Zhang, Qiao, Xu, Ziyan, Yue, Xuetong, Yu, Zixiang, Akesu, Sujie |
| Předmět: |
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| Zdroj: |
Nature Communications; 2/19/2024, Vol. 15, p1-24, 24p |
| Abstrakt: |
Soft tissue sarcoma is a broad family of mesenchymal malignancies exhibiting remarkable histological diversity. We portray the proteomic landscape of 272 soft tissue sarcomas representing 12 major subtypes. Hierarchical classification finds the similarity of proteomic features between angiosarcoma and epithelial sarcoma, and elevated expression of SHC1 in AS and ES is correlated with poor prognosis. Moreover, proteomic clustering classifies patients of soft tissue sarcoma into 3 proteomic clusters with diverse driven pathways and clinical outcomes. In the proteomic cluster featured with the high cell proliferation rate, APEX1 and NPM1 are found to promote cell proliferation and drive the progression of cancer cells. The classification based on immune signatures defines three immune subtypes with distinctive tumor microenvironments. Further analysis illustrates the potential association between immune evasion markers (PD-L1 and CD80) and tumor metastasis in soft tissue sarcoma. Overall, this analysis uncovers sarcoma-type-specific changes in proteins, providing insights about relationships of soft tissue sarcoma. The molecular characterisation of soft tissue sarcomas (STSs) across diverse populations remains crucial. Here, the authors perform a proteomics and phosphoproteomics analysis of 272 Chinese STS patients across 12 subtypes, and obtain insights related to progression, metastasis, and immune signatures. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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