Article

Personalized Glioblastoma Multiforme Growth Modeling by Integrating Clinical Genomic and Phenotypic Data

2025-08-26

Abstract excerpt

<title>Abstract</title> <p>Glioblastoma multiforme (GBM) is a highly aggressive brain tumor characterized by significant morbidity and mortality, alongside a complex and heterogeneous nature that complicates outcome prediction and treatment optimization. Here, we present a patient-specific simulation framework for GBM tumor growth, integrating genomic data from pathological biomarkers in biopsy specimens with phe...

Topics

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

Identifiers and source

Literature Corpus work: e4a709f6-db12-53f7-accf-12ed02b36587
DOI: 10.21203/rs.3.rs-7102971/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Personalized Glioblastoma Multiforme Growth Modeling by Integrating Clinical Genomic and Phenotypic DataDOI 10.21203/rs.3.rs-7102971/v1Read

Patient-specific mathematical neuro-oncology: using a simple proliferation and invasion tumor model to inform clinical practice.Semantic proximity Read

Towards Image - Based Personalization of Glioblastoma Therapy A Clinical and Biological Validation Study of a Novel, Deep Learning - Driven Tumor Growth ModelSemantic proximity Read

The Radiogenomic and Spatiogenomic Landscapes of Glioblastoma, and their Relationship to Oncogenic DriversSemantic proximity Read

From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment response.Semantic proximity Read

A revised mathematical model of pre-diagnostic glioma growth incorporating vascularization and tumor mutational burdenSemantic proximity Read

From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment responseSemantic proximity Read

From molecular signatures to radiomics: tailoring neurooncological strategies through forecasting of glioma growth.Semantic proximity Read

Mathematical Modeling and Mutational Analysis Reveal Optimal Therapy to Prevent Malignant Transformation in Grade II IDH-Mutant Gliomas.Semantic proximity Read

Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles.Semantic proximity Read

Invasion and proliferation kinetics in enhancing gliomas predict IDH1 mutation status.Semantic proximity Read

Characterization of longitudinal transformation of T2-hyperintensity in oligodendrogliomaSemantic proximity Read

Somatic mutations associated with MRI-derived volumetric features in glioblastoma.Semantic proximity Read