Literature DB >> 24075824

Prognosis for gastric carcinomas with an insufficient number of examined negative lymph nodes.

D Martinez-Ramos1, A Calero2, J Escrig-Sos3, F Mingol4, J M Daroca-Jose3, M Sauri4, A Arroyo2, J L Salvador-Sanchis3, M de Juan4, R Calpena2, F J Lacueva2.   

Abstract

BACKGROUND: The optimal system for lymph node (LN) staging in gastric cancer is still a subject of debate. The aim of our study was to analyse the probability of error in negative LN (pN0) gastric carcinomas when a low number of LNs were harvested using a probabilistic model.
METHODS: Patients with gastric carcinoma who underwent R0 resection at three university hospitals between 2004 and 2009 were retrospectively included. A Bayesian model was used to analyse the probability of error for negative LNs (pN0) gastric carcinomas. Kaplan-Meier survival curves and the log-rank test were used to compare the overall and specific mortality of prognosis groups.
RESULTS: Of the 291 patients included, 123 were classified as pN0 (42%). A significant correlation was found between the extent of the LN dissection performed and the number of the LNs retrieved. According to the Bayesian model the carcinomas with 9 or fewer negative lymph nodes were considered to have a high risk (HR) of misclassification, whereas patients with 10-25 LNs analysed and those with more than 26 negative lymph nodes were considered to have a moderate risk (MR) and low risk (LR), respectively. The log-rank test showed a significant improvement in the disease-specific survival for the MR pN0 (p < 0.001) and LR pN0 (p < 0.04) but not for the HR pN0 patients compared to pN1 patients.
CONCLUSIONS: The proposed probabilistic model is clinically useful for differentiating the prognosis in pN0 gastric carcinomas when an insufficient number of negative lymph nodes are retrieved.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bayes theorem; Gastric cancer; Lymph nodes; Lymphadenectomy; Probability; Prognosis

Mesh:

Year:  2013        PMID: 24075824     DOI: 10.1016/j.ejso.2013.08.027

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  8 in total

Review 1.  Prognostic impact of nodal status and therapeutic implications.

Authors:  Katja Ott; Susanne Blank; Laura Ruspi; Margit Bauer; Leila Sisic; Thomas Schmidt
Journal:  Transl Gastroenterol Hepatol       Date:  2017-03-15

2.  Usefulness of the log odds of positive lymph nodes to predict and discriminate prognosis in gastric carcinomas.

Authors:  A Calero; J Escrig-Sos; F Mingol; A Arroyo; D Martinez-Ramos; M de Juan; J L Salvador-Sanchis; E Garcia-Granero; R Calpena; F J Lacueva
Journal:  J Gastrointest Surg       Date:  2015-01-06       Impact factor: 3.452

3.  Survival impact of the number of lymph node retrieved on patients with node-negative gastric cancer: more is better?

Authors:  Jun-Te Hsu; Puo-Hsien Le; Chia-Jung Kuo; Ta-Sen Yeh; Yi-Yin Jan
Journal:  Transl Gastroenterol Hepatol       Date:  2017-12-07

4.  Number of negative lymph nodes as a prognostic factor for ypN0-N1 breast cancer patients undergoing neoadjuvant chemotherapy.

Authors:  Fei Xin; Yue Yu; Zheng-Jun Yang; Li-Kun Hou; Jie-Fei Mao; Li Xia; Xin Wang; Xu-Chen Cao
Journal:  Tumour Biol       Date:  2016-01-05

5.  The log odds of negative lymph nodes/T stage: a new prognostic and predictive tool for resected gastric cancer patients.

Authors:  Jiebin Xie; Yueshan Pang; Xun Li; Xiaoting Wu
Journal:  J Cancer Res Clin Oncol       Date:  2021-05-18       Impact factor: 4.553

6.  Lessons learned from a comparative analysis of surgical outcomes of and learning curves for laparoscopy-assisted distal gastrectomy.

Authors:  Jun-Seok Moon; Man Sik Park; Jong-Han Kim; You-Jin Jang; Sung-Soo Park; Young-Jae Mok; Seung-Joo Kim; Chong-Suk Kim; Seong-Heum Park
Journal:  J Gastric Cancer       Date:  2015-03       Impact factor: 3.720

7.  A New Scoring System to Predict Lymph Node Metastasis and Prognosis After Surgery for Gastric Cancer.

Authors:  Wen-Zhe Kang; Jian-Ping Xiong; Yang Li; Peng Jin; Yi-Bin Xie; Quan Xu; Yu-Xin Zhong; Yan-Tao Tian
Journal:  Front Oncol       Date:  2022-02-07       Impact factor: 6.244

8.  A new predictive model combined of tumor size, lymph nodes count and lymphovascular invasion for survival prognosis in patients with lymph node-negative gastric cancer.

Authors:  Lin-Yong Zhao; Xiao-Long Chen; Yi-Gao Wang; Yue Xin; Wei-Han Zhang; Yin-Su Wang; Xin-Zu Chen; Kun Yang; Kai Liu; Lian Xue; Bo Zhang; Zhi-Xin Chen; Jia-Ping Chen; Zong-Guang Zhou; Jian-Kun Hu
Journal:  Oncotarget       Date:  2016-11-01
  8 in total

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