The combination of p16 and Rb expression pattern is helpful to predict high-risk HPV infection and the primary site in lymph node metastases of squamous cell carcinoma
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View abstract on PubMed
Summary
This summary is machine-generated.Identifying the primary site of metastatic squamous cell carcinoma (SCC) can be difficult. Combining p16 and Rb expression patterns effectively screens for high-risk human papillomavirus (HR-HPV) in lymph nodes, aiding in primary site estimation.
Area Of Science
- Oncology
- Pathology
- Virology
Background
- Metastatic squamous cell carcinoma (SCC) primary site identification is challenging.
- High-risk human papillomavirus (HR-HPV) infection is linked to oropharyngeal SCC (OPSCC).
- p16 overexpression and Rb loss are markers for HR-HPV-associated OPSCC, but their status in metastatic lesions requires clarification.
Purpose Of The Study
- To investigate p16 and Rb expression patterns in paired primary and metastatic SCC lesions.
- To assess the utility of these markers in identifying HR-HPV infection in metastatic lymph nodes.
- To determine if combined p16 and Rb analysis can help estimate the primary SCC site.
Main Methods
- Immunohistochemistry (IHC) was used to analyze p16 and Rb expression in 50 patients with various SCC types.
- mRNA in situ hybridization detected transcriptionally active HR-HPV infection.
- Paired primary and metastatic SCC lesions were analyzed for marker concordance.
Main Results
- HR-HPV and p16 positivity were observed in 42% and 46% of patients, respectively.
- Primary and metastatic lesions showed concordant results for HR-HPV, p16, and Rb.
- Combined p16 overexpression and Rb partial/complete loss demonstrated 100% sensitivity, specificity, and positive/negative predictive values for HR-HPV screening.
Conclusions
- Combined p16 and Rb expression analysis is a reliable method for screening HR-HPV in metastatic lymph nodes.
- This combined marker approach aids in estimating the primary site of SCC.
- The findings support the use of p16 and Rb patterns for improved SCC diagnosis and management.
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