Title |
Human papillomavirus, smoking status and outcomes in tonsillar squamous cell carcinoma
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Published in |
International Journal of Cancer, December 2012
|
DOI | 10.1002/ijc.27956 |
Pubmed ID | |
Authors |
Angela M. Hong, Andrew Martin, Mark Chatfield, Deanna Jones, Mei Zhang, Bruce Armstrong, C. Soon Lee, Gerald Harnett, Christopher Milross, Jonathan Clark, Michael Elliott, Robert Smee, June Corry, Chen Liu, Sandro Porceddu, Guy Rees, Barbara Rose |
Abstract |
It is now clear that the two separate entitles of tonsillar cancer, HPV induced and non-HPV induced (smoking induced), have significantly different presenting stage and outcomes. A significant proportion of patients with human papillomavirus positive tonsillar cancer have had exposure to smoking. We examined the combined effect of human papillomavirus and smoking on the outcomes and determined whether smoking can modify the beneficial effect of human papillomavirus. A total of 403 patients from nine centers were followed up for recurrence or death for a median of 38 months. Determinants of the rate of loco-regional recurrence, death from tonsillar cancer and overall survival were modeled using Cox regression. Smoking status was a significant predictor of overall survival (p = 0.04). There were nonstatistically significant trends favoring never smokers for loco-regional recurrence and disease specific survival. In addition, there was no statistically significant interactions between smoking and human papillomavirus (p-values for the interaction were 0.26 for loco-regional recurrence, 0.97 for disease specific survival and 0.73 for overall survival). The effect of smoking on loco-regional recurrence and disease specific survival outcomes was not statistically significant, nor was there significant evidence that the effect of smoking status on these outcomes was modified by HPV status. Irrespective of HPV status, however, smokers did have poorer overall survival than never-smokers, presumably due to effects of smoking that are unrelated to the primary cancer. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 7 | 17% |
Student > Doctoral Student | 5 | 12% |
Researcher | 5 | 12% |
Student > Postgraduate | 4 | 10% |
Student > Master | 4 | 10% |
Other | 9 | 22% |
Unknown | 7 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 61% |
Biochemistry, Genetics and Molecular Biology | 3 | 7% |
Nursing and Health Professions | 1 | 2% |
Computer Science | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 0 | 0% |
Unknown | 10 | 24% |