Esophageal Cancer
Copyright ©The Author(s) 2005. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Jul 7, 2005; 11(25): 3823-3829
Published online Jul 7, 2005. doi: 10.3748/wjg.v11.i25.3823
Impact of simultaneous assay, the PCNA, cyclinD1, and DNA content with specimens before and after preoperative radiotherapy on prognosis of esophageal cancer-possible incorporation into clinical TNM staging system
Shu-Chai Zhu, Ren Li, Yu-Xiang Wang, Wei Feng, Juan Li, Rong Qiu
Shu-Chai Zhu, Ren Li, Yu-Xiang Wang, Wei Feng, Juan Li, Rong Qiu, Department of Radiation Oncology, Fourth Hospital, Hebei Medical University, Shijiazhuang 050011, Hebei Province, China
Author contributions: All authors contributed equally to the work.
Supported by the Distinguished Young Teacher Programs Foundation of Ministry of Education of China, No. 2001125
Correspondence to: Professor Shu-Chai Zhu, Department of Radiation Oncology, Fourth Hospital, Hebei Medical University, Jiankanglu 12, Shijiazhuang 050011, Hebei Province, China. sczhu@heinfo.net
Telephone: +86-311-6033941-317 Fax: +86-311-6992121
Received: October 26, 2004
Revised: December 23, 2004
Accepted: December 26, 2004
Published online: July 7, 2005
Abstract

AIM: The aim of the present study is to use immunohisto-chemical methods to investigate the clinical implications of tumor markers in esophageal squamous cell carcinoma and evaluate their impact on prognosis.

METHODS: From November 1990 to December 1996, 47 patients were treated with preoperative radiation followed by radical esophagectomy. All patients were confirmed pathologically as suffering from squamous cell carcinoma. Immunohistochemical stain was done for PCNA, cyclinD1 protein expression and DNA content analyzed by image cytometry. Kaplan-Meier method for single prognostic factor and log-rank test was used to test the significant difference. Cox stepwise regression model and prognosis index model were used for survival analysis with multiple prognostic factors.

RESULTS: Radio-pathological change, T stage and N stage, as the traditional prognostic factors had statistical difference in 3-, 5- and 10-year survival rates. While, tumor cell proliferating marked PCNA, cyclinD1 and DNA content served as independent prognostic factors of esophageal carcinoma. There was definitely an identity between the single and multiple factor analyses. PI was more accurate to evaluate the prognosis of esophageal carcinoma.

CONCLUSION: It is possible that tumor cell proliferating marked PCNA, cyclinD1 and DNA content would become the endpoints for evaluating the prognosis of esophageal carcinoma.

Keywords: Esophageal carcinoma; Radiotherapy; Cell proliferating marker