| Home | E-Submission | Sitemap | Contact Us |  
top_img
J Korean Soc Ther Radiol Oncol > Volume 16(1); 1998 > Article
The Journal of the Korean Society for Therapeutic Radiology and Oncology 1998;16(1): 1-6.
Association of p53 Protein Expression with Clinical Outcome in Advanced Supraglottic Cancer
Jin Oh Kang, Seong Eon Hong
Department of Radiation Oncology, College of Medicine Kyung Hee University Hospital, Seoul, Korea.
ABSTRACT
PURPOSE:
To determine the incidence and prognostic effect of p53 expression in patients with advanced supraglottic cancer.
MATERIALS AND METHODS:
Twenty-one cases of total 48 advanced supraglottic cancer patients who received postoperative adjuvant radiation therapy were evaluated by immunohistochemical staining employing p53 monoclonal antibody.
RESULT:
Three out of six stage III patients and four out of fifteen stage IV patients showed p53 expression without statistically significant difference (P=0.608). Five year survival rates are 93% in p53 negative, 86% in p53 positive patients and there was no significant difference (P=0.776). p53 expression does not show statistically significant correlation with primary tumor status (P=0.877), lymph node status (P=0.874) and age (P=0.64).
CONCLUSION:
There was no statistically significant correlation between traditionally known risk factors and p53 expression.
Key Words: Supraglottic cancer, p53 expression, prognostic factor
TOOLS
PDF Links  PDF Links
Full text via DOI  Full text via DOI
Download Citation  Download Citation
Share:      
METRICS
1,486
View
24
Download
Related articles
p53 Mutations in Advanced Supraglottic Cancer2001 June;19(2)
The Clinical Significance of Cathepsin D and p53 Expressionin Locally Advanced Rectal Cancer2008 March;26(1)
Editorial Office
Department of Radiation Oncology, Samsung Medical Center,
Proton Therapy Center, B2, 81, Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea
Tel : +82-2-3410-3617
E-mail: rojeditor@gmail.com, roj@kosro.or.kr
Copyright © The Korean Society for Radiation Oncology.                      Developed in M2PI
Close layer
prev next