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Proteomic characterization identifies clinically relevant subgroups of soft tissue sarcoma

Authors :
Shaoshuai Tang
Yunzhi Wang
Rongkui Luo
Rundong Fang
Yufeng Liu
Hang Xiang
Peng Ran
Yexin Tong
Mingjun Sun
Subei Tan
Wen Huang
Jie Huang
Jiacheng Lv
Ning Xu
Zhenmei Yao
Qiao Zhang
Ziyan Xu
Xuetong Yue
Zixiang Yu
Sujie Akesu
Yuqin Ding
Chen Xu
Weiqi Lu
Yuhong Zhou
Yingyong Hou
Chen Ding
Source :
Nature Communications, Vol 15, Iss 1, Pp 1-24 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract 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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.4f0b0a6f461944f78d25288bc5190ec0
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-024-45306-y