Development and validation of a pathomics model to predict SOX11 expression and prognosis in hepatocellular carcinoma

SOX11 expression may influence the prognosis of HCC patients. The PS can accurately and robustly predict both SOX11 expression and patient prognosis, making it a potentially valuable tool for clinical application.

Authors

Institutions

Publication Details

Journal
Translational Cancer Research
Published
2025-11-01
DOI
https://doi.org/10.21037/tcr-2025-1260
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of a pathomics model to predict SOX11 expression and prognosis in hepatocellular carcinoma

Shuna Liu, Yang Cai, Boping Zhou
Translational Cancer Research
Hepatocellular Carcinoma Treatment and Prognosis
article

Development and validation of a pathomics model to predict SOX11 expression and prognosis in hepatocellular carcinoma

Shuna Liu, Yang Cai, Boping Zhou
article en

Abstract

SOX11 expression may influence the prognosis of HCC patients. The PS can accurately and robustly predict both SOX11 expression and patient prognosis, making it a potentially valuable tool for clinical application.

Translational Cancer ResearchVol. 14(11)
Guangdong Medical College (CN), Affiliated Hospital of Guangdong Medical College Hospital (CN), Shenzhen Second People's Hospital (CN)
Openalex Percentile: Top 53%
Hepatocellular Carcinoma Treatment and Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.