Article

Multiparametric MRI Along with Machine Learning Informs on Molecular Underpinnings, Prognosis, and Treatment Response in Pediatric Low-Grade Glioma

2024-04-19

Abstract excerpt

In this study, we present a comprehensive radiogenomic analysis of pediatric low-grade gliomas (pLGGs), combining treatment-naïve multiparametric MRI and RNA sequencing. We identified three immunological clusters using XCell enrichment scores, highlighting an ‘immune-hot’ group correlating with poorer prognosis, suggesting potential benefits from immunotherapies. A radiomic signature predicting immunological profi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: bb0336dc-dcc6-5623-a8c9-ef6954a857cb
DOI: 10.1101/2024.04.18.24306046

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multiparametric MRI Along with Machine Learning Informs on Molecular Underpinnings, Prognosis, and Treatment Response in Pediatric Low-Grade GliomaDOI 10.1101/2024.04.18.24306046Read

Imaging phenotypes from MRI for the prediction of glioma immune subtypes from RNA sequencing: A multicenter study.Semantic proximity Read

Imaging Clusters of Pediatric Low-Grade Glioma are Associated with Distinct Molecular CharacteristicsSemantic proximity Read

Imaging Clusters of Pediatric Low-Grade Glioma Are Associated with Distinct Molecular Characteristics.Semantic proximity Read

Illuminating radiogenomic signatures in pediatric-type diffuse gliomas: insights into molecular, clinical, and imaging correlations. Part II: low-grade groupSemantic proximity Read

Radiogenomic profiling of global DNA methylation associated with molecular phenotypes and immune features in glioma.Semantic proximity Read

Biological underpinnings of radiomic magnetic resonance imaging phenotypes for risk stratification in IDH wild-type glioblastomaSemantic proximity Read

Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1Semantic proximity Read

A longitudinal single-cell and spatial multiomic atlas of pediatric high-grade gliomaSemantic proximity Read

Pediatric pan-central nervous system tumor analysis of immune-cell infiltration identifies correlates of antitumor immunity.Semantic proximity Read

Tumor and immune cell types interact to produce heterogeneous phenotypes of pediatric high-grade glioma.Semantic proximity Read

The Relationship Between the Molecular Phenotypes of Brain Gliomas and the Imaging Features and Sensitivity of Radiotherapy and Chemotherapy.Semantic proximity Read

Imaging of Central Nervous System Tumors Based on the 2016 World Health Organization Classification.Semantic proximity Read