A More Extensive Lymphadenectomy Enhances Survival After Neoadjuvant Chemoradiotherapy in Locally Advanced Esophageal Adenocarcinoma

更广泛的淋巴结切除术可提高局部晚期食管腺癌新辅助放化疗后的生存率

阅读:4

Abstract

OBJECTIVE: We sought to determine the extent of lymphadenectomy that optimizes staging and survival in patients with locally advanced EAC treated with neoadjuvant chemoradiotherapy followed by esophagectomy. SUMMARY OF BACKGROUND DATA: Several studies have found that a more extensive lymphadenectomy leads to better disease-specific survival in patients treated with surgery alone. Few studies, however, have investigated whether this association exists for patients treated with neoadjuvant chemoradiotherapy. METHODS: We examined our prospective database and identified patients with EAC treated with neoadjuvant chemoradiotherapy followed by esophagectomy between 1995 and 2017. Overall survival (OS) and DFS were estimated using Kaplan-Meier methods, and a multivariable Cox proportional hazards model was used to identify independent predictors of OS and DFS. The relationship between the total number of nodes removed and 5-year OS or DFS was plotted using restricted cubic spline functions. RESULTS: In total, 778 patients met the inclusion criteria. The median number of excised nodes was 21 (interquartile range, 16-27). A lower number of excised lymph nodes was independently associated with worse OS and DFS (OS: hazard ratio, 0.98; confidence interval, 0.97-1.00; P = 0.013; DFS: hazard ratio, 0.99; confidence interval, 0.98-1.00; P = 0.028). Removing 25 to 30 lymph nodes was associated with a 10% risk of missing a positive lymph node. Both OS and DFS improved with up to 20 to 25 lymph nodes removed, regardless of treatment response. CONCLUSIONS: The optimal extent of lymphadenectomy to enhance both staging and survival after chemoradiotherapy, regardless of treatment response, is approximately 25 lymph nodes.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。