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Research Domains
Biomedical And Clinical Sciences
Oncology And Carcinogenesis
Predictive And Prognostic Markers
Identification Of Emt-associated Prognostic Features Among Grade Ii/iii Gliomas.

Home
Research Domains
Biomedical And Clinical Sciences
Oncology And Carcinogenesis
Predictive And Prognostic Markers
Identification Of Emt-associated Prognostic Features Among Grade Ii/iii Gliomas.

Related Experiment Video

Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures

Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures

Published on: January 9, 2019

Identification of EMT-associated prognostic features among grade II/III gliomas.

Wenyong Yang¹, Liangbin Lin¹, Tianqi Lu^1,2,3

¹Department of Neurosurgery, Department of Urology, Medical Research Center, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, The Second Chengdu Hospital Affiliated to Chongqing Medical University, Chengdu, China.

Scientific Reports

|February 2, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

A new four-gene signature accurately predicts prognosis in aggressive gliomas. High expression of ACTN1, AQP1, LAMC3, and NRM indicates poorer survival, offering potential therapeutic targets for glioma treatment.

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Area of Science:

Neuro-oncology
Molecular Biology
Cancer Genomics

Background:

Gliomas, particularly Grade II/III, exhibit diverse clinical outcomes, necessitating reliable prognostic biomarkers.
Identifying molecular features that predict patient prognosis is crucial for effective clinical management of these brain tumors.

Purpose of the Study:

To investigate epithelial-mesenchymal transition (EMT)-related genes for prognostic markers in Grade II/III gliomas.
To identify a molecular signature that can differentiate glioma subtypes with distinct clinical courses.

Main Methods:

Consensus cluster analysis was performed on 200 EMT-related genes in 512 Grade II/III glioma samples.
Differential gene expression analysis identified key prognostic genes, followed by validation in external datasets.

Cellular experiments and immunohistochemistry were used to assess gene function and protein expression correlation with survival.

Main Results:

Two molecular subtypes (C1 and C2) were identified, with C1 showing significantly worse overall survival.
A four-gene signature (ACTN1, AQP1, LAMC3, NRM) robustly predicted poor prognosis across multiple datasets.
ACTN1, AQP1, and NRM promoted glioma cell proliferation, migration, and invasion; ACTN1 showed a strong association with T cell exhaustion markers and negative correlation with survival.

Conclusions:

A concise four-gene signature effectively predicts prognosis in Grade II/III gliomas.
This signature has clinical relevance for identifying aggressive tumors and guiding treatment strategies.
Targeting ACTN1, AQP1, and NRM presents potential therapeutic avenues for improving patient outcomes in gliomas.