医学
化疗
内科学
癌症
肿瘤科
多元分析
单变量分析
新辅助治疗
单变量
回归
多元统计
乳腺癌
心理学
统计
数学
精神分析
作者
Lin Bo Wang,Rong Yue Teng,Zi Nong Jiang,Wen Hu,Min Dong,Xiao Ming Yuan,Wen Jun Chen,Mei Jin,Jian Shen
摘要
Abstract Background and Objectives To identify clinicopathologic variables that could predict pathologic tumor response to neoadjuvant chemotherapy for patients with locally advanced gastric cancer. Methods The study enrolled 108 patients who underwent neoadjuvant chemotherapy followed by surgery between July 2004 and December 2010. Tumor responses to neoadjuvant chemotherapy were assessed in terms of tumor regression. Statistical analyses were performed to identify factors associated with pathologic tumor response. Results Tumor regression was found in 22.2% (24/108) patients, patients with tumor regression observed better overall survival as compared to that of patients without tumor regression. Univariate and multivariate analyses observed that both tumor differentiation and tumor size were independent predictors of tumor regression. Conclusions This study suggests that both tumor differentiation and tumor size is the most important clinical predicator of pathologic tumor response, it may be of benefit in the selection of treatment options in locally advanced gastric cancer. J. Surg. Oncol. 2012; 105:293–296. © 2011 Wiley Periodicals, Inc.
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