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Updated: Aug 13, 2026

Modeling Oral-Esophageal Squamous Cell Carcinoma in 3D Organoids
Published on: December 23, 2022
New Gene Signature-Based Prognostic Model for Patients With VEGF-Overexpressing Esophageal Squamous Cell Carcinoma
Yonghui Li1, Ruiyao Wang1, Haibo Wang1
1Department of Thoracic Surgery, Affiliated Hospital of Hebei University, Baoding, Hebei, China, hbu.cn.
Background And Aims:
The effects of vascular endothelial growth factor (VEGF) overexpression on the prognosis of patients with esophageal squamous cell carcinoma (ESCC) are still unclear. The aim of this study was to construct and evaluate a mutant gene-based model to predict the prognosis of ESCC patients with VEGF overexpression.
Methods:
Samples from 50 ESCC patients with VEGF overexpression were subjected to next-generation sequencing (NGS) to identify gene mutations. The associations between the enrichment of these mutations and patient outcomes were also evaluated in a cohort from The Cancer Genome Atlas. Hazard ratios were identified via the Kaplan-Meier and Cox analyses. A support vector machine recursive feature elimination algorithm was used to construct the model, and receiver operating characteristic analysis was carried out to evaluate its prognostic performance.
Results:
ESCC patients with FAT1, FGF3, FGF12, and FGF19 mutations; advanced M stage; and high neutrophil counts tended to have poorer prognoses.
Conclusion:
A model based on a four-gene signature effectively predicts the prognosis of ESCC patients.
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