Machine learning-driven identification and immunohistochemical validation of an integrated immune-inflammatory phenotype for disease-free survival stratification in breast cancer
Shanshan Han, Lin Ran, Zhaoan Lian, Yong Tian, Li Qin, Yingchun Xiang, Xiaohao Yan, Chengyu Shui, Cheng Huang · 2026
Read Machine learning-driven identification and immunohistochemical validation of an integrated immune-inflammatory phenotype for disease-free survival stratification in breast cancer by Shanshan Han, Lin Ran, Zhaoan Lian, Yong Tian, Li Qin, Yingchun Xiang, Xiaohao Yan, Chengyu Shui, Cheng Huang (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/PMC13323226.txt.
Description
Shanshan Han and co-authors build a survival model for breast cancer that joins immune and inflammation signs, in a 2026 single-centre study of 503 surgically treated patients from 2020 to 2025. Recurrence risk varies widely, and standard clinical factors miss part of the immune picture.
Stromal immune cell levels in tissue and a blood-based inflammation index defined three immune types, from favourable to poor. During follow-up, 107 patients had a disease-free survival event in the cohort records. A random survival forest beat Cox and boosting models on accuracy across five years in their comparisons. Staining for CD8 and CD163 supported the grouping, and nodal stage carried the largest weight in the forest model.
Catalog record
| CREATOR | Shanshan Han, Lin Ran, Zhaoan Lian, Yong Tian, Li Qin, Yingchun Xiang, Xiaohao Yan, Chengyu Shui, Cheng Huang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 51862 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |