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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Combined analysis of HPV DNA, p16, p21 and p53 to predict prognosis in patients with stage IV hypopharyngeal carcinoma
Journal of Cancer Research and Clinical Oncology, Volume 137, No. 1, Year 2011
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Description
Purpose: We examined p16, p21 and p53 expression in combination with the presence of human papillomavirus (HPV) DNA as molecular markers to predict survival in patients with stage IV hypopharyngeal squamous cell carcinoma (HSCC). Methods: Paraffin-embedded tumours from HSCC patients (n = 75) were evaluated for p16, p21 and p53 expression by immunohistochemistry. HPV DNA was detected by GP5+/6+ consensus PCR and subsequent genotyping by E6/E7 type-specific PCR for HPV types 6, 11, 16, 18, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66 and 68. Results: Among the 61 specimens that tested positive for the β-globin, HPV typing identified 50 patients with high-risk (hr) HPV types. HPV 16E7 DNA was detected in 74% (37 cases) of these specimens. Twelve patients were found to be infected with multiple HPV types. However, the presence of hrHPV DNA was not found to correlate with the proportion of disease-free patients. The 5-year disease-free survival rate was 73% in p53- tumours versus 48% in p53+ tumours (P = 0.008). Conclusion: In our series of patients with stage IV HSCC, the hrHPV+ subgroup had a similar prognosis (in terms of recurrence risk) as the HPV- subgroup. p53 overexpression was associated with a worse prognosis. © 2010 The Author(s).
Authors & Co-Authors
Arafa, Mohammad M.
France, Bagnolet
Saft
Decaestecker, Christine
Belgium, Brussels
Université Libre de Bruxelles
Duray, Anaëlle
Belgium, Mons
Université de Mons
Leroy, Xavier
France, Lille
Université de Lille
Herfs, Michael Michaël
France, Bagnolet
Saft
Depuydt, Christophe E.
Unknown Affiliation
Delvenne, Philippe O.
France, Bagnolet
Saft
Saussez, Sven
Belgium, Mons
Université de Mons
Belgium, Brussels
Université Libre de Bruxelles
Statistics
Citations: 35
Authors: 8
Affiliations: 4
Identifiers
Doi:
10.1007/s00432-010-0871-2
ISSN:
01715216
Research Areas
Cancer
Genetics And Genomics