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Updated: Jun 23, 2025

Yeast As a Chassis for Developing Functional Assays to Study Human P53
Published on: August 4, 2019
p53 protein expression patterns associated with TP53 mutations in breast carcinoma
Sarah A Anderson1, Brooke B Bartow1, Shuko Harada1
1Department of Pathology, The University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL, 35294, USA.
p53 protein expression detected by immunohistochemistry (IHC) can accurately predict TP53 gene mutations in breast cancer (BC). Different p53 expression patterns correlate with specific TP53 mutations, aiding in BC diagnosis.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- TP53 gene mutations are significant in various cancers, including breast cancer (BC).
- The reliability of p53 protein expression as a biomarker for TP53 mutations in BC requires further investigation.
Purpose of the Study:
- To assess the accuracy of p53 protein expression via immunohistochemistry (IHC) as a predictor of TP53 gene mutations in breast cancer patients.
- To explore the correlation between specific p53 protein expression patterns and distinct TP53 genetic alterations.
Main Methods:
- TP53 gene mutations were identified using next-generation sequencing (NGS).
- p53 protein expression levels were evaluated using immunohistochemistry (IHC) in 64 breast cancer samples.
Main Results:
- Abnormal p53 expression patterns were observed in 55% of breast cancers, with TP53 mutations found in 53% of tumors.
- Abnormal p53 protein expression accurately predicted TP53 mutations in 97% of cases, while wild-type patterns predicted the absence of mutations in 93% of cases (p < 0.0001).
- p53 IHC overexpression correlated with missense mutations, whereas null patterns were associated with truncating mutations and triple-negative breast cancer phenotypes.
Conclusions:
- Immunohistochemistry (IHC) for p53 protein shows potential as a surrogate marker for TP53 mutations in breast cancer.
- Specific p53 protein expression patterns may indicate particular TP53 genetic mutations, offering valuable diagnostic insights.
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