Evidence map›Paper›PMID 42893081›Full record

ArticleJournal of hepatocellular carcinoma2026

Construction of a Nomogram Integrating Magnetic Resonance Imaging Features and Ephrin-A3 Expression to Predict Postoperative Overall Survival in Hepatocellular Carcinoma.

Yanyan Zhang, Lijuan Feng, Qianjuan Chen, Siyuan Tan, Wanyun Huang, Liling Long

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Article in Journal of hepatocellular carcinoma, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yanyan ZhangDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Lijuan FengDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Qianjuan ChenDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Siyuan TanDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Wanyun HuangDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Liling LongDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Elevated EFNA3 mRNA is associated with poor prognosis in hepatocellular carcinoma (HCC). This study aimed to evaluate the prognostic value of Ephrin-A3 immunohistochemical expression and construct a nomogram combining MRI features and Ephrin-A3 expression for postoperative OS prediction in HCC. Patients and Methods: We conducted a retrospective analysis of 111 HCC patients, from whom MRI data were collected, and Ephrin-A3 immunohistochemistry was performed. Using an optimal cut-off value of averaged optical density (AOD) derived from Ephrin-A3 staining to predict OS, patients were categorized into high and low expression groups. The cohort was randomly split into training (70%) and validation (30%) sets. Univariate and multivariate Cox regression analyses identified independent OS predictors, and a nomogram was constructed to predict post-surgical OS. We assessed the model's performance through receiver operating characteristic (ROC) curves, area under the curve (AUC) measurements, Kaplan-Meier survival curves, calibration curves, and decision curve analysis (DCA) in both datasets. Results: Ephrin-A3 expression, tumor margin, nonrim arterial phase hyperenhancement, and extrahepatic metastasis were independent predictors of OS. The nomogram had concordance indexes of 0.76 and 0.72 in the training and validation sets, respectively. Time‑dependent ROC analysis showed AUCs of 0.790 and 0.776 at 36 and 60 months in the training set, and 0.737 and 0.770 in the validation set; the 12‑month AUC was not estimable due to zero events in the validation set. Kaplan-Meier curves showed significantly prolonged OS in the low-risk group across both datasets. Calibration curves showed good agreement between predicted and actual survival rates, and DCA supported the model's clinical utility. Conclusion: Ephrin-A3 serves as an independent prognostic factor for OS in HCC patients after surgery, and the constructed nomogram exhibits favorable predictive performance for postoperative survival.

Indexed as

ephrin-a3hepatocellular carcinomahypoxiaMRIoverall survival

Identifiers

PMID42893081
PMCPMC13676183

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.