Literature DB >> 33902923

Lymph node metastasis is strongly associated with lung metastasis as the first recurrence site in colorectal cancer.

Yujin Kato1, Kohei Shigeta2, Koji Okabayashi1, Masashi Tsuruta1, Ryo Seishima1, Shimpei Matsui1, Taketo Sasaki1, Yuka Koseki1, Yuko Kitagawa1.   

Abstract

BACKGROUND: The lymphatic system is known to be the primary pathway of metastasis for colorectal cancer. However, beyond regional lymph node metastases, little is known about the pathway of lymphatic metastases and the differences in the recurrence site risk. The aim of this study was to clarify the relationship between lymph node metastasis and the first recurrence site in colorectal cancer.
METHODS: Patients with colorectal cancer who underwent curative resection in our institution between January 2003 and December 2016 were included in this analysis. The relationship between the first recurrence site and clinicopathological factors was analyzed by the Cox regression model and competing risk regression model.
RESULTS: In total, 1,249 patients with colorectal cancer were included in this analysis. We found that the stages of lymph node metastases (N0 vs N1: P = .008, N0 vs N2a: P < .001, N0 vs N2b: P < .001) were significantly associated with lung metastasis in the multivariate analysis. Furthermore, in the competing risk analysis, the stages of lymph node metastases were significantly correlated with lung metastasis (N0 vs N1: P = .002, N0 vs N2a: P < .001, N0 vs N2b: P < .001) but were not correlated with other recurrence sites.
CONCLUSION: The severity of lymph node involvement had a strong correlation with lung metastases in patients with colorectal cancer.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Year:  2021        PMID: 33902923     DOI: 10.1016/j.surg.2021.03.017

Source DB:  PubMed          Journal:  Surgery        ISSN: 0039-6060            Impact factor:   3.982


  2 in total

1.  Analysis of gastrointestinal function and prognostic value of tumor markers in patients with laparoscopic radical resection of colorectal cancer.

Authors:  Yezhe Luo; Yizhuo Lu; Penghao Kuang; Qinghe Huang; Yanqin Huang; Boliang Xiong; Qinggui Chen
Journal:  Am J Transl Res       Date:  2022-09-15       Impact factor: 3.940

2.  A Machine Learning-Based Predictive Model for Predicting Lymph Node Metastasis in Patients With Ewing's Sarcoma.

Authors:  Wenle Li; Qian Zhou; Wencai Liu; Chan Xu; Zhi-Ri Tang; Shengtao Dong; Haosheng Wang; Wanying Li; Kai Zhang; Rong Li; Wenshi Zhang; Zhaohui Hu; Su Shibin; Qiang Liu; Sirui Kuang; Chengliang Yin
Journal:  Front Med (Lausanne)       Date:  2022-04-06
  2 in total

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