Identifying and validating of prognostic genes associated with myeloid cell differentiation in cervical cancer: development of a risk model based on single-cell RNA sequencing combined with bulk RNA sequencing data
Xiaomin Wen, Wenlan Zheng, Tingting Zhai, Qi Wang, Yong Liang, Xin Zhang · 2026
Read Identifying and validating of prognostic genes associated with myeloid cell differentiation in cervical cancer: development of a risk model based on single-cell RNA sequencing combined with bulk RNA sequencing data by Xiaomin Wen, Wenlan Zheng, Tingting Zhai, Qi Wang, Yong Liang, Xin Zhang (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-13265198.txt.
Description
Xiaomin Wen and colleagues build a risk model for cervical cancer from genes tied to myeloid cell development, in a 2026 study. Myeloid cells inside tumours can suppress immunity and shape treatment response. Their development pathways may hold prognostic clues. Single-cell and bulk gene data were combined.
Four genes formed the final risk score. The score split patients into high-risk and low-risk groups with distinct outcomes. A chart combining the score forecast prognosis accurately. Pathways tied to synapse organisation were enriched in the high-risk group. Eleven immune cell populations differed between groups. Laboratory tests confirmed the gene expression patterns.
Catalog record
| CREATOR | Xiaomin Wen, Wenlan Zheng, Tingting Zhai, Qi Wang, Yong Liang, Xin Zhang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 56 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |