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Impact of p16, p53, smoking, and alcohol on survival in patients with oropharyngeal squamous cell carcinoma treated with primary intensity-modulated chemoradiation


Broglie, M A; Soltermann, A; Rohrbach, D; Haile, S R; Pawlita, M; Studer, G; Huber, G F; Moch, H; Stoeckli, S J (2013). Impact of p16, p53, smoking, and alcohol on survival in patients with oropharyngeal squamous cell carcinoma treated with primary intensity-modulated chemoradiation. Head and Neck, 35(12):1698-1706.

Abstract

BACKGROUND: Analysis of the impact of risk factors on survival in patients with oropharyngeal squamous cell carcinoma (OPSCC) treated by primary intensity-modulated radiotherapy (IMRT). METHODS: One hundred forty patients were included with tissue microarray (TMA) construction and immunohistochemical analysis in 124 patients (87%). RESULTS: Survival analysis of patients classified into 3 risk categories according to an algorithm based on p16, smoking, T classification, and N classification revealed significant differences with a low, intermediate, and high-risk group. There was a significant impact of p53 expression as surrogate marker for smoking on outcome. In multivariate analysis, p16-positivity was a positive predictor and alcohol as well as N classification was a negative predictor for survival. The algorithm was modified based on alcohol instead of smoking with even more significant differences between the groups. CONCLUSIONS: A risk model based on multiple factors instead of p16 as single marker can define different risk groups to select patients for treatment deintensification in future prospective clinical trials. © 2013 Wiley Periodicals, Inc. Head Neck, 2013.

Abstract

BACKGROUND: Analysis of the impact of risk factors on survival in patients with oropharyngeal squamous cell carcinoma (OPSCC) treated by primary intensity-modulated radiotherapy (IMRT). METHODS: One hundred forty patients were included with tissue microarray (TMA) construction and immunohistochemical analysis in 124 patients (87%). RESULTS: Survival analysis of patients classified into 3 risk categories according to an algorithm based on p16, smoking, T classification, and N classification revealed significant differences with a low, intermediate, and high-risk group. There was a significant impact of p53 expression as surrogate marker for smoking on outcome. In multivariate analysis, p16-positivity was a positive predictor and alcohol as well as N classification was a negative predictor for survival. The algorithm was modified based on alcohol instead of smoking with even more significant differences between the groups. CONCLUSIONS: A risk model based on multiple factors instead of p16 as single marker can define different risk groups to select patients for treatment deintensification in future prospective clinical trials. © 2013 Wiley Periodicals, Inc. Head Neck, 2013.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Radiation Oncology
04 Faculty of Medicine > University Hospital Zurich > Clinic for Otorhinolaryngology
04 Faculty of Medicine > University Hospital Zurich > Institute of Pathology and Molecular Pathology
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:2013
Deposited On:25 Mar 2013 07:36
Last Modified:13 May 2016 10:29
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:1043-3074
Publisher DOI:https://doi.org/10.1002/hed.23231
PubMed ID:23508511

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