A stromal-derived five-gene signature predicts gastric cancer recurrence through integrated bioinformatics and single-cell analysis
Yi Wang, Rui Mao · 2026
Read A stromal-derived five-gene signature predicts gastric cancer recurrence through integrated bioinformatics and single-cell analysis by Yi Wang, Rui Mao (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-13357333.txt.
Description
Yi Wang and Rui Mao built in 2026 a five-gene test, drawn from the tissue around tumors, that forecasts whether stomach cancer will return after surgery. Recurrence tops forty percent, and the tumor's neighborhood clearly matters. They mined public datasets, sifted genes through a thousand rounds of selection, and checked cell types with single-cell data.
The five genes split 279 patients into risk groups with wide survival gaps, and the split held in a large external cohort. Single-cell maps placed each gene in a distinct cell type, from fibroblasts to muscle cells. High-risk tumors also looked more resistant to eight chemotherapy drugs. The test worked apart from mutation load. The authors say the neighborhood's makeup may drive recurrence.
Catalog record
| CREATOR | Yi Wang, Rui Mao |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 74 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |