Literature DB >> 16310691

Developing an appropriate staging system for esophageal carcinoma.

Chikara Kunisaki1, Hirotoshi Akiyama, Masato Nomura, Goro Matsuda, Yuichi Otsuka, Hidetaka Andrew Ono, Hiroshi Shimada.   

Abstract

BACKGROUND: Development of an optimal staging system for esophageal cancer is essential to estimate prognostic factors accurately and treat them appropriately. In this study, we evaluated the surgical outcomes of esophageal cancer according to five existing staging systems and assessed their prognostic significance. STUDY
DESIGN: For 113 patients with esophageal cancer who had undergone curative resection, lymph-node metastasis was classified using the 8th and 9th editions of the Japanese classification, the 6th edition of the Union Internationale Contre le Cancer (UICC) TNM classification, and systems based on the number (0, 1 to 3, or > or = 4) or ratio (0, < 0.15, or > or = 0.15) of metastatic lymph nodes. Survival and prognostic factors of the respective stages were evaluated.
RESULTS: Univariate analysis of disease-specific survival revealed that depth of invasion and lymph-node classification notably affected prognosis. Multivariate analysis confirmed that each classification independently influenced prognosis. According to the criteria of the two Japanese classifications, there was no clear correlation between lymph-node stage and survival. The Union Internationale Contre le Cancer/TNM classification, and those based on the number or ratio of metastatic lymph nodes showed a clear correlation between lymph-node metastasis and survival. These systems had better stratification than the Japanese classifications.
CONCLUSIONS: Staging systems for esophageal cancer based on the number or ratio of metastatic lymph nodes showed better prognostic significance than those based on the anatomic distribution of metastatic lymph nodes, because of their good stratification and clinical utility. Such classifications are suitable for use throughout the world.

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Year:  2005        PMID: 16310691     DOI: 10.1016/j.jamcollsurg.2005.07.002

Source DB:  PubMed          Journal:  J Am Coll Surg        ISSN: 1072-7515            Impact factor:   6.113


  10 in total

Review 1.  The added value of metabolic imaging with FDG-PET in oesophageal cancer: prognostic role and prediction of response to treatment.

Authors:  Emilio Bombardieri
Journal:  Eur J Nucl Med Mol Imaging       Date:  2006-07       Impact factor: 9.236

2.  Lymph node ratio-based staging system for esophageal squamous cell carcinoma.

Authors:  Shao-Bin Chen; Hong-Rui Weng; Geng Wang; Xiao-Fang Zou; Di-Tian Liu; Yu-Ping Chen; Hao Zhang
Journal:  World J Gastroenterol       Date:  2015-06-28       Impact factor: 5.742

3.  The N-classification for esophageal cancer staging: should it be based on number, distance, or extent of the lymph node metastasis?

Authors:  Qi-Rong Xu; Xue-Peng Zhuge; He-Lin Zhang; Yu-Min Ping; Long-Qi Chen
Journal:  World J Surg       Date:  2011-06       Impact factor: 3.352

4.  Proposed Modification of the pN2 Classification of the 8th Edition AJCC Staging System for Esophageal Squamous Cell Carcinoma: A Preliminary Study Based on the Chinese Population.

Authors:  Kexing Xi; Hui Yu
Journal:  J Oncol       Date:  2021-03-09       Impact factor: 4.375

5.  A novel staging model to classify oesophageal squamous cell carcinoma patients in China.

Authors:  H Tan; H Zhang; J Xie; B Chen; C Wen; X Guo; Q Zhao; Z Wu; J Shen; J Wu; X Xu; E Li; L Xu; X Wang
Journal:  Br J Cancer       Date:  2014-02-25       Impact factor: 7.640

6.  The prognostic value of nodal skip metastasis in resectable thoracic esophageal squamous cell carcinoma.

Authors:  Ge Song; Wang Jing; Song Xue; Hongbo Guo; Jinming Yu
Journal:  Onco Targets Ther       Date:  2017-05-25       Impact factor: 4.147

7.  Protein-coding genes combined with long noncoding RNA as a novel transcriptome molecular staging model to predict the survival of patients with esophageal squamous cell carcinoma.

Authors:  Jin-Cheng Guo; Yang Wu; Yang Chen; Feng Pan; Zhi-Yong Wu; Jia-Sheng Zhang; Jian-Yi Wu; Xiu-E Xu; Jian-Mei Zhao; En-Min Li; Yi Zhao; Li-Yan Xu
Journal:  Cancer Commun (Lond)       Date:  2018-04-09

8.  The impact of the nodal status on the overall survival of non-surgical patients with esophageal squamous cell carcinoma.

Authors:  Zongxing Zhao; Yanan Zhang; Peiliang Wang; Xin Wang; Minghuan Li
Journal:  Radiat Oncol       Date:  2019-09-03       Impact factor: 3.481

9.  Number of metastasis-positive lymph node stations is a simple and reliable prognostic factor following surgery in patients with esophageal cancer.

Authors:  Shinsuke Takeno; Shin-Ichi Yamashita; Satoshi Yamamoto; Yoshiaki Takahashi; Toshihiko Moroga; Katsunobu Kawahara; Toyoo Shiroshita; Ippei Yamana; Kenji Maki; Yuichi Yamashita
Journal:  Exp Ther Med       Date:  2012-09-13       Impact factor: 2.447

10.  Metastatic to negative lymph node ratio demonstrates significant prognostic value in patients with esophageal squamous cell carcinoma after esophagectomy.

Authors:  Xiao-Feng Duan; Peng Tang; Xiao-Bin Shang; Hong-Jing Jiang; Zhen-Tao Yu
Journal:  Oncotarget       Date:  2017-07-28
  10 in total

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