Mechanistic insight into glioma through spatially multidimensional proteomics

• Published in: Science advances 2024-02, Vol.10 (7), p.eadk1721-eadk1721
• Main Authors: Shen, Lei, Zhang, Zhourui, Wu, Pengfei, Yang, Jingyi, Cai, Yuankun, Chen, Keyu, Chai, Songshan, Zhao, Jingwei, Chen, Hongyu, Dai, Xuan, Yang, Bangkun, Wei, Wei, Dong, Lixin, Chen, Jincao, Jiang, Pucha, Cao, Changjun, Ma, Chao, Xu, Chengshi, Zou, Yichun, Zhang, Jibo, Xiong, Wenping, Li, Zhengwei, Xu, Shuangxiang, Shu, Bing, Wang, Mengyang, Li, Zejin, Wan, Qiongqiong, Xiong, Nanxiang, Chen, Suming
• Format: Article
• Language: English
• ISSN: 2375-2548; 2375-2548
• DOI: 10.1126/sciadv.adk1721

Characterizing the tumor microenvironment at the molecular level is essential for understanding the mechanisms of tumorigenesis and evolution. However, the specificity of the blood proteome in localized region of the tumor and its linkages with other systems is difficult to investigate. Here, we propose a spatially multidimensional comparative proteomics strategy using glioma as an example. The blood proteome signature of tumor microenvironment was specifically identified by in situ collection of arterial and venous blood from the glioma region of the brain for comparison with peripheral blood. Also, by integrating with different dimensions of tissue and peripheral blood proteomics, the information on the genesis, migration, and exchange of glioma-associated proteins was revealed, which provided a powerful method for tumor mechanism research and biomarker discovery. The study recruited multidimensional clinical cohorts, allowing the proteomic results to corroborate each other, reliably revealing biological processes specific to gliomas, and identifying highly accurate biomarkers.