Uncovering GSTK1 and PTGER3 as biomarkers for breast cancer prognosis through comprehensive analyses
Lin Tan, Junlian Xiang, Yi Lu, Xiaoli Zhong · 2025
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Description
Lin Tan, Junlian Xiang, Yi Lu, and Xiaoli Zhong hunt for breast cancer prognosis genes in a 2025 paper. They mined public datasets and found 66 genes that differ between tumor and normal tissue. Those genes clustered in processes such as blood vessel growth and in cancer pathways.
The team tested 21 machine learning methods, and two stood out. The overlap of their picks gave 29 genes for deeper checks. Two genes, GSTK1 and PTGER3, emerged as key markers. Both were lower in tumor tissue, and higher levels linked to better survival. A combined chart could predict patient survival chances.
Catalog record
| CREATOR | Lin Tan, Junlian Xiang, Yi Lu, Xiaoli Zhong |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |