Prognosis prediction based on methionine metabolism genes signature in gliomas
Sujin Zhou, Xianan Zhao, Shiwei Zhang, Xue Tian, Xuepeng Wang, Yunping Mu, Fanghong Li, Allan Z Zhao, Zhenggang Zhao · 2023
Read Prognosis prediction based on methionine metabolism genes signature in gliomas by Sujin Zhou, Xianan Zhao, Shiwei Zhang, Xue Tian, Xuepeng Wang, Yunping Mu, Fanghong Li, Allan Z Zhao, Zhenggang Zhao (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-10699061.txt.
Description
Sujin Zhou and co-authors build a survival prediction model for glioma based on genes tied to one nutrient. Their 2023 paper covers gliomas, brain tumors whose cells take up much methionine, an amino acid. A scan that tracks that uptake exists, but its tracer fades in minutes, which limits clinic use.
The team studied dozens of methionine-linked genes in a large cancer atlas. Most of those genes tied to patient survival. A model built from seven of them split patients by risk with strong accuracy. High-risk scores also linked to immune traits and to a cell change tied to tumor spread. A chart that joins the gene score with clinical traits aims to give doctors a handier forecast than the short-lived scan.
Catalog record
| CREATOR | Sujin Zhou, Xianan Zhao, Shiwei Zhang, Xue Tian, Xuepeng Wang, Yunping Mu, Fanghong Li, Allan Z Zhao, Zhenggang Zhao |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 32 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |