Predicting podoplanin expression and prognostic significance in high-grade glioma based on TCGA TCIA radiomics.

ABSTRACT:

Background

Podoplanin (PDPN) is a membrane glycoprotein implicated in tumor invasion and immune modulation in high-grade gliomas (HGGs). However, the non-invasive prediction of PDPN expression and its prognostic significance using radiomics remains unexplored.

Materials and methods

This study used preoperative contrast-enhanced MRI T1WI data analyzed by gradient boosting machine to predict podoplanin (PDPN) expression and overall survival (OS) in HGG patients.

Results

We retrospectively analyzed 89 HGG patients' clinical data, MRI images, and RNA-seq profiles from TCIA. For each patient, 107 radiomics features were extracted from HGG subregions. The radiomics prognostic model was built using two selected features, glcm_Idmn and glcn_Idn. Through validation with extern

SUBMITTER: Long S 

PROVIDER: S-EPMC12186906 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature