The role of cellular senescence in immune-metabolic features and prognosis of ovarian cancer: an integrated analysis based on single-cell sequencing and multi-omics data
Yuan Li, Mengying Bai, Ziqiong Zhou, Wenbo Wu, Haifeng Wu, Shuyi Ling, Liping Wang, Yuehui Zheng · 2026
Read The role of cellular senescence in immune-metabolic features and prognosis of ovarian cancer: an integrated analysis based on single-cell sequencing and multi-omics data by Yuan Li, Mengying Bai, Ziqiong Zhou, Wenbo Wu, Haifeng Wu, Shuyi Ling, Liping Wang, Yuehui Zheng (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-13638873.txt.
Description
Yuan Li led a 2026 study of aging-like cell states in ovarian cancer, linking them to immune features, energy use, and outlook. Ovarian cancer recurs often and platinum resistance drives poor outcomes, yet how aging genes shape tumor diversity and treatment response was unclear. The team combined public tumor datasets with single-cell sequencing, grouping patients by aging gene patterns and building a risk model.
These genes differed between tumors and normal tissue and clustered in cell cycle, DNA damage, and immune pathways, with signals concentrated in cancer-linked fibroblasts, malignant cells, and selected immune cells. Three subtypes differed in energy use, DNA repair, and immune makeup, though survival did not differ across subtypes. An eight-gene risk model flagged high-risk tumors, which showed more mutations, platinum-resistance features, fewer killer T cells, and more suppressive immune cells.
Catalog record
| CREATOR | Yuan Li, Mengying Bai, Ziqiong Zhou, Wenbo Wu, Haifeng Wu, Shuyi Ling, Liping Wang, Yuehui Zheng |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |