A novel predictive model of microvascular invasion in hepatocellular carcinoma based on differential protein expression.

ABSTRACT:

Background

This study aims to construct and verify a nomogram model for microvascular invasion (MVI) based on hepatocellular carcinoma (HCC) tumor characteristics and differential protein expressions, and explore the clinical application value of the prediction model.

Methods

The clinicopathological data of 200 HCC patients were collected and randomly divided into training set and validation set according to the ratio of 7:3. The correlation between MVI occurrence and primary disease, age, gender, tumor size, tumor stage, and immunohistochemical characteristics of 13 proteins, including GPC3, CK19 and vimentin, were statistically analyzed. Univariate and multivariate analyzes identified risk factors and independent risk factors, respectively. A nomogram model that can be use

SUBMITTER: Wang Z 

PROVIDER: S-EPMC10041792 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature