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Radiological lymph‐node size improves the prognostic value of systemic inflammation index in rectal cancer with pathologically negative nodes.

Authors :
Peng, Shaoyong
Liu, Xiaoxia
Li, Yingjie
Yu, Huichuan
Xie, Yumo
Wang, Xiaolin
Zhou, Jiaming
Zhu, Mingxuan
Luo, Yanxin
Huang, Meijin
Source :
Cancer Medicine; May2023, Vol. 12 Issue 9, p10303-10314, 12p
Publication Year :
2023

Abstract

Background: The relationship between the radiological lymph node (rLN) size and survival outcome in node‐negative rectal cancer is still uncertain. In this study, we aimed to explore the role of enlarged rLN in predicting the survival of node‐negative rectal cancers. Methods: We retrospectively reviewed the records of 722 node‐negative rectal cancer who underwent curative resection. Factors associated with DFS (disease‐free survival) and CSS (cancer‐specific survival) were assessed with univariate and multivariate analysis. Survival analysis was performed according to presence with or without enlarged rLN. Combining rLN with NLR as a new index‐inflammation immune score (IIS) for predicting survival. Comparing different models to assess the predictive powers. Results: A total of 119 patients had tumor recurrence and 73 patients died due to cancer. Patients with enlarged rLN (≥5 mm) was significantly associated with better DFS (HR:0.517, 95%CI:0.339–0.787, p = 0.002) and CSS (HR:0.43, 95%CI:0.242–0.763, p = 0.004). The risk factors of recurrence were rLN, neutrophil‐lymphocyte ratio (NLR), CEA level, and distance from the anal verge. The risk of recurrence increased by 1.88‐ and 2.83‐fold for the high score in IIS compared with the low and intermediate score group (All p < 0.001). Similarly, the high score in IIS also increased the risk of cancer‐specific death. In the model comparison, the AIC and LR were improved by including the rLN into the NLR model for DFS and CSS prediction (All p < 0.05). Conclusions: Node‐negative rectal cancer patients with enlarged rLN had a better survival outcome. IIS might be a more comprehensive and complete inflammation immune index for survival prediction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20457634
Volume :
12
Issue :
9
Database :
Complementary Index
Journal :
Cancer Medicine
Publication Type :
Academic Journal
Accession number :
163949580
Full Text :
https://doi.org/10.1002/cam4.5761