#AI reads Urine#Identification of vitronectin as a potential non‑invasive biomarker of metastatic breast cancer using a label‑free LC–MS/MS approach

This study aimed to identify non-invasive urinary biomarkers for metastatic breast cancer (MBC). Using label-free LC-MS/MS, researchers compared urinary proteomes of MBC patients, locally invasive breast cancer (IBC) patients, and healthy controls (HC). They identified 212 proteins, with 83 unique to MBC and 25 to HC. Key findings showed urinary vitronectin (uVTN) was significantly elevated in MBC vs. IBC and HC. A cutoff of >500 ng/ml for uVTN achieved an AUC of 0.782, with 79% sensitivity and 65% specificity for distinguishing MBC from HC. Longitudinal analysis linked uVTN levels to disease status. These results suggest uVTN is a promising non-invasive biomarker for diagnosing and monitoring MBC, though validation in larger cohorts is needed.

Breast Cancer Res. 2025 May 29;27(1):94. doi: 10.1186/s13058-025-02053-2.

Roopali Roy1,2*†, Elisa M. Schunkert1†, Petra Olivova3, Martin Gilar3, Scott Geromanos3, Guo‑Zhong Li3, John Gebler3, Adelle Dagher1, Andrew El‑Hayek1, Rama Aldakhlallah1, Steven J. Staffa2,4, David Zurakowski2,4, Margaret Lotz5, Susan Pories5,6 and Marsha A. Moses1,2*

Youhe Gao

With Doubao

Statement: During the preparation of this work the author(s) used Doubao / AI reading for summarizing the content. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the published article.

For earlier AI Reads Urine articles：

https://www.keaipublishing.com/en/journals/advances-in-biomarker-sciences-and-technology/ai-reads-urine/