Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma
Computational pathology emerges as a transformative tool capable of substantially reducing the burden on pathologists while concurrently enhancing and diagnostic sensitivity and specificity. The positive expression of G3BP1 protein serves as valuable, independent biomarker, offering predictive insights into a poor prognosis for patients with NPC.
Authors
- Linshan Zhou
- Hongjing Zang (ORCID: https://orcid.org/0009-0001-9713-6523)
- Songqing Fan (ORCID: https://orcid.org/0000-0002-1486-9909)
- Jiadi Luo (ORCID: https://orcid.org/0000-0003-0500-0686)
- Mu Yang
- Yuting Zhan (ORCID: https://orcid.org/0000-0002-5338-543X)
Institutions
- Central South University (CN)
- Second Xiangya Hospital of Central South University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1371/journal.pone.0315893
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00