Integrated proteomic and single-nucleus transcriptomic profiling identifies prognostic markers and therapeutic targets in glioblastoma
Chengyong Yang, Junchi Luo, Sha Yang, Mei Deng, Tao Xiong, Junheng Zhang, Wenjing Yang, Jiqin Zhang, Xin Xiang, Liangzhao Chu, Ying Tan · 2026
Read Integrated proteomic and single-nucleus transcriptomic profiling identifies prognostic markers and therapeutic targets in glioblastoma by Chengyong Yang, Junchi Luo, Sha Yang, Mei Deng, Tao Xiong, Junheng Zhang, Wenjing Yang, Jiqin Zhang, Xin Xiang, Liangzhao Chu, Ying Tan (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13478046.txt.
Description
Chengyong Yang and ten colleagues hunted in 2026 for prognostic markers in glioblastoma, the most aggressive adult brain tumour, by combining protein and single-nucleus RNA data from public cohorts. They built a risk model from protein data and mapped where its markers sit across cell types.
A four-protein signature, BCL2, CTNNB1, CHEK2, and NDRG1_pT346, split patients into high-risk and low-risk groups that differed in survival, holding up after adjustment. The markers favoured different cell populations, and CHEK2-positive and NDRG1-positive tumour cells ran distinct programs around DNA handling and hypoxia. The signature offers prognostic markers and possible treatment targets.
Catalog record
| CREATOR | Chengyong Yang, Junchi Luo, Sha Yang, Mei Deng, Tao Xiong, Junheng Zhang, Wenjing Yang, Jiqin Zhang, Xin Xiang, Liangzhao Chu, Ying Tan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 75 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |