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p63 expression in human tumors and normal tissues: a tissue microarray study on 10,200 tumors
Stefan Steurer1, Claudia Riemann1, Franziska Büscheck1
1Institute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
Biomarker Research
|January 26, 2021
Summary
p63 immunohistochemistry is a valuable diagnostic tool, showing high prevalence in specific tumors like squamous cell carcinomas. Loss of p63 expression may indicate aggressive cancers and poorer survival outcomes.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Research
Background:
- Tumor protein 63 (p63) is a transcription factor crucial for differentiation in tissues like squamous epithelium.
- p63 immunohistochemistry is widely used in tumor classification, but existing data on its cancer expression is inconsistent.
Purpose of the Study:
- To systematically analyze and map the expression patterns of p63 across a wide range of human tumors and normal tissues.
- To evaluate the diagnostic utility of p63 immunohistochemistry and its potential as a prognostic marker in various cancers.
Main Methods:
- Utilized tissue microarrays (TMAs) encompassing 12,620 samples from 115 tumor types and 76 normal tissue types.
- Conducted comprehensive p63 immunohistochemical analysis to catalogue expression levels and patterns.
Main Results:
- p63 expression was observed in normal tissues like squamous epithelium and urothelium.
- High p63 positivity was frequent in squamous cell carcinomas (96-100%), thymic tumors (100%), urothelial carcinomas (81-100%), basal cell carcinomas (100%), and salivary gland tumors (81-100%).
- Loss of p63 in urothelial carcinomas correlated with advanced stage, high grade, and poor survival, suggesting dedifferentiation. Aberrant p63 expression in gastric cancer was linked to lymph node metastasis.
Conclusions:
- p63 immunohistochemistry is a reliable diagnostic tool due to its high prevalence in specific tumor types.
- Loss of p63 expression can serve as a potential indicator of aggressive cancer phenotypes and clinical outcomes.

