Proposal of a Dukes-MAC-like staging system for gastric cancer

Author:

Gurzu Simona,Sugimura Haruhiko,Orlowska Janina,Szederjesi Janos,Szentirmay Zoltan,Bara Tivadar,Bara Tivadar,Fetyko Ananmaria,Jung Ioan

Abstract

The aim of this study was to present an epidemiological update regarding the classical prognostic parameters of gastric cancer (GC) in 3 countries from Eastern Europe and to suggest a modification of the pTNM staging system. In 333 consecutive cases which were diagnosed between 2003 and 2012 in 3 departments of pathology from Romania, Hungary, and Poland, the following parameters were analyzed: age and gender of patients, tumor localization, macroscopic and microscopic aspects including the degree of discohesivity, depth of tumor infiltration, and pTNM stage. From all of the studied parameters, the following proved to have independent prognostic value, indicating a lower survival rate: presence of distant metastases (p=0.001), lymph node positivity (p=0.0009), depth of tumor infiltration (p=0.04), age over 50 (p=0.02), proximally located tumors (p=0.03), and ulceroinfiltrative or diffusely infiltrative macroscopic aspect (p=0.0002). The pT2N1-3 staged cases showed a worse prognosis compared with the pT3N0 ones (p=0.02). Regardless of depth of invasion, the lymph node status remains the strongest indicator of the survival rate in GC. The pTN staging system should be adapted and a Dukes-MAC-like staging system should include the following groups: stage A1—T1N0, stage A2—T1N1-3, stage B1—T2N0, stage B2—T2N1-3, stage C1—T3N0, stage C2—T3N1-3, and stage D—T4N0-3. The grade of discohesivity/budding is not a prognostic factor in GC.

Publisher

BMJ

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3