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.

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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
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article

Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma

Linshan Zhou, Hongjing Zang, Songqing Fan, Jiadi Luo et al.
PLoS ONE
Pancreatic and Hepatic Oncology Research
article

Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma

Linshan Zhou, Hongjing Zang, Songqing Fan, Jiadi Luo, Mu Yang, Yuting Zhan
article en

Abstract

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.

PLoS ONEVol. 20(1)
Central South University (CN), Second Xiangya Hospital of Central South University (CN)
No poverty
Openalex Percentile: Top 98%
Pancreatic and Hepatic Oncology Research
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Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma — Linshan Zhou, Hongjing Zang, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS