A Prediction Model for Deciphering Intratumoral Heterogeneity Derived from the Microglia/Macrophages of Glioma Using Non-Invasive Radiogenomics
Yunyang Zhu, Zhaoming Song, Zhong Wang, David Brown, Terry Lichtor · 2023
Read A Prediction Model for Deciphering Intratumoral Heterogeneity Derived from the Microglia/Macrophages of Glioma Using Non-Invasive Radiogenomics by Yunyang Zhu, Zhaoming Song, Zhong Wang, David Brown, Terry Lichtor (2023) 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-10742081.txt.
Description
Yunyang Zhu, Zhaoming Song, and Zhong Wang describe a 2023 study on glioma, a serious brain tumor. Their work centers on microglia and macrophages, immune cells that shape the tumor's surroundings. Using data from single-cell studies, the team picked out genes tied to these cells. From those genes they built a risk score meant to predict how a patient will fare.
The score split patients into high-risk and low-risk groups with distinct immune traits and gene changes. High-risk tumors showed a more active immune setting, and the score linked to known immune checkpoint genes. The team then built a model that reads brain scan images to guess a patient's risk group without a tissue sample. Such a tool could help doctors sort patients and plan care sooner.
Catalog record
| CREATOR | Yunyang Zhu, Zhaoming Song, Zhong Wang, David Brown, Terry Lichtor |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 41 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |