Predicting response to hypomethylating agents in myeloid neoplasms: a robust model
Chao Guo, Ya-yue Gao, Qian-qian Ju, Zhen-ling Li · 2026
Read Predicting response to hypomethylating agents in myeloid neoplasms: a robust model by Chao Guo, Ya-yue Gao, Qian-qian Ju, Zhen-ling Li (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/PMC13553615.txt.
Description
Chao Guo and three colleagues build a 2026 gene-based model to guess who will respond to a class of drugs for bone marrow cancers. These drugs, called hypomethylating agents, are standard care for several such diseases, yet fewer than half of patients gain from them. The team hunted for gene groups whose activity tracked with response. They then shrank that group into a score built from twenty-nine genes.
The score split patients into likely responders and likely non-responders with near-perfect sorting in the test data. It held up across other groups, disease types, drugs, and timing of blood draws. Patients in each group also differed in how long they stayed free of disease and how long they lived. Pathways tied to cell growth rose with higher risk scores.
Catalog record
| CREATOR | Chao Guo, Ya-yue Gao, Qian-qian Ju, Zhen-ling Li |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 46178 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |