期刊
CANCER
卷 115, 期 3, 页码 508-516出版社
WILEY
DOI: 10.1002/cncr.24062
关键词
esophageal cancer; tumor size; long-term survival; esophageal cancer survival
类别
资金
- George B. Swank Esophageal Research Fund
BACKGROUND: Esophageal cancer staging uses tumor depth as the sole criterion for assessment of the primary tumor (pT). To the authors' knowledge the impact of esophageal tumor length on long-term outcome and the esophageal cancer staging system has not been fully evaluated in the current era. METHODS: All esophageal cancer patients (n = 209) undergoing surgery from 1995 to 2005 who did not receive preoperative chemotherapy or radiotherapy were reviewed. Maximum esophageal tumor length along a craniocaudal axis was determined pathologically after surgical resection. Univariate and multivariate analyses were used to assess the impact of esophageal tumor length (<= 3 cm vs > 3 cm) on long-term survival. RESULTS: Esophageal tumor length was closely associated with long-term survival (hazards ratio [HR] of 6.14 [95% confidence interval (95% CI), 4.1-9.25]; 5-year survival: <= 3 cm = 68%, > 3 cm = 10% [P < .001]). Multivariate Cox regression analyses demonstrated tumor length (HR of 2.13 [95% CI, 1.26-3.63]) was found to be a significant independent predictor of long-term survival even when controlled for sex, age, tumor location, histology, margin positivity, surgical procedure, and current pTNM criteria. The incorporation of tumor length in pTNM staging significantly improves the ability to predict the long-term survival of patients (5-year survival for patients with tumors <= 3 cm and stages I, IIA, IIB, and III disease = 86%, 62%, 49%, and 22%, respectively; survival for patients with tumors measuring > 3 cm and stages I, IIA, IIB, and III disease =27%, 22%, 0%, and 8%, respectively [P < .1]). CONCLUSIONS: Esophageal tumor length is an independent predictor of long-term survival in the current era and should be considered for incorporation into the current esophageal cancer staging system to better predict long-term survival and identify high-risk patients for postoperative therapy. Cancer 2009;115:508-16. (c) 2008 American Cancer Society.
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