Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Multicenter Real-World Analysis of Glofitamab in Relapsed/Refractory Primary CNS Lymphoma: Clinical Activity, CNS Penetration, and ctDNA Dynamics.

American journal of hematology·2026

Same author

Immunotherapy and the Sequence Relative to Survival Outcomes in SCLC: Analysis of the National Cancer Database.

Cancers·2026

Same author

Vps34 puts the 'e' in eTreg cells.

PLoS biology·2025

Same author

Autophagy repression in effector T lymphocytes redefines paradigms in T cell biology.

Nature immunology·2025

Same author

Complement factor H targeting antibody GT103 in refractory non-small cell lung cancer: a phase 1b dose escalation trial.

Nature communications·2025

Same author

Sintilimab (anti-PD-1 antibody) combined with high-dose methotrexate, temozolomide, and rituximab (anti-CD20 antibody) in primary central nervous system lymphoma: a phase 2 study.

Signal transduction and targeted therapy·2024

Search research articles

Related Experiment Video

Updated: Jan 4, 2026

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

A Multi-Element Expression Score Is A Prognostic Factor In Glioblastoma Multiforme.

Jun-Qi Li¹, Qian-Ting Wang^1,2, Ying Nie²

¹Department of Cell Biology and Institute of Biomedicine, College of Life Science and Technology, Jinan University, National Engineering Research Center of Genetic Medicine, Guangzhou 510632, People's Republic of China.

Cancer Management and Research

|November 8, 2019

Summary

A new scoring system using tumor-associated antigens (TAAs) and tumor immune microenvironment (TME) genes can predict glioblastoma multiforme (GBM) patient survival. This tool aids in personalized immunotherapy for better GBM patient care.

Keywords:

TAAs TME gene expression score glioblastoma prognosis

More Related Videos

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

Author Spotlight: Unveiling Transmembrane Protein Family-Related Markers in Gastric Cancer and Implications for Targeted Therapies

Author Spotlight: Unveiling Transmembrane Protein Family-Related Markers in Gastric Cancer and Implications for Targeted Therapies

Published on: September 15, 2023

Related Experiment Videos

Last Updated: Jan 4, 2026

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

Author Spotlight: Unveiling Transmembrane Protein Family-Related Markers in Gastric Cancer and Implications for Targeted Therapies

Author Spotlight: Unveiling Transmembrane Protein Family-Related Markers in Gastric Cancer and Implications for Targeted Therapies

Published on: September 15, 2023

Area of Science:

Neuro-oncology
Immunotherapy
Genomics

Background:

Glioblastoma multiforme (GBM) is an aggressive brain tumor with limited prognostic tools.
Recurrence is common despite extensive treatment.
Adoptive immunotherapy shows promise, but understanding of targetable antigens and immune microenvironment is incomplete.

Purpose of the Study:

To develop a predictive tool for glioblastoma patient survival.
To analyze expression profiles of tumor-associated antigens (TAAs) and tumor immune microenvironment (TME) genes.
To establish a prognostic model for guiding GBM immunotherapy.

Main Methods:

Quantitative real-time PCR (qRT-PCR) evaluated 87 TAAs and 8 TME genes in 44 GBM tissues and 10 normal brain tissues.
A multi-element expression score was developed using the LASSO algorithm.
The score was cross-validated in independent GBM cohorts (TCGA and GEO databases).

Main Results:

A predictive formula incorporated 8 TAAs (e.g., CHI3L1, EZH2) and 1 TME gene (FOXP3), along with clinical factors (NLR, basophil count, age, treatment).
The developed multi-element expression score significantly differentiated between high-risk and low-risk GBM patient groups.
Validation in large GBM cohorts confirmed the score's association with overall survival (OS).

Conclusions:

The multi-element expression score is a significant predictor of overall survival in glioblastoma patients.
This prognostic tool enhances understanding of TAAs and TMEs in GBM.
The validated formula can be applied to personalize immunotherapy strategies for improved GBM patient outcomes.