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Related Experiment Video

Updated: May 12, 2026

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

[P73 gene expression in gliomas].

A V Volnitskiĭ, G R Vinogradskaia, M V Filatov

Voprosy Onkologii

|April 24, 2013

Summary

This summary is machine-generated.

A new RT-PCR method identifies p73 isoforms. Glioma samples showed low p73 expression, often with suppressors, suggesting a link to cancer development.

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Published on: January 9, 2019

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Published on: October 4, 2019

Area of Science:

Molecular biology
Oncology
Genetics

Background:

The p73 protein is a homologue of p53 and plays a role in tumor suppression.
Dysregulation of p73 isoforms has been implicated in various cancers, including gliomas.
Understanding p73 expression patterns is crucial for cancerogenesis research.

Purpose of the Study:

To develop a reliable RT-PCR method for identifying distinct p73 mRNA isoforms.
To investigate the expression levels of p73 and its isoforms in glioma samples.
To correlate p73 expression patterns with glioma development.

Main Methods:

Development of a specific Reverse Transcription Polymerase Chain Reaction (RT-PCR) primer system.
Analysis of p73 mRNA expression in 18 diverse glioma samples (cell lines, biopsies, primary cultures).
Quantification and isoform-specific identification of p73 transcripts.

Main Results:

The developed RT-PCR system successfully identified different p73 mRNA isoforms.
A significant proportion of glioma samples exhibited no detectable p73 expression.
In other samples, p73 was co-expressed with its inhibitory isoforms, suggesting a loss of function.

Conclusions:

The novel RT-PCR system enables precise p73 isoform detection.
Altered p73 expression, including absence or co-expression with suppressors, is prevalent in gliomas.
This aberrant expression pattern is proposed to contribute to glioma cancerogenesis.