Tumor-Associated Neutrophils Can Predict Lymph Node Metastasis in Early Gastric Cancer

被引:34
|
作者
Wang, Yaohui [1 ]
Zhai, Jing [2 ]
Zhang, Tiancheng [3 ]
Han, Shutang [3 ]
Zhang, Yifen [1 ]
Yao, Xuequan [2 ]
Shen, Lizong [2 ]
机构
[1] Nanjing Univ Chinese Med, Affiliated Hosp, Jiangsu Prov Hosp Chinese Med, Dept Pathol, Nanjing, Peoples R China
[2] Nanjing Univ Chinese Med, Affiliated Hosp, Jiangsu Prov Hosp Chinese Med, Dept Surg Oncol, Nanjing, Peoples R China
[3] Nanjing Univ Chinese Med, Affiliated Hosp, Jiangsu Prov Hosp Chinese Med, Digest Endoscopy Ctr, Nanjing, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2020年 / 10卷
基金
中国国家自然科学基金;
关键词
early gastric cancer; tumor-associated neutrophils; lymph node metastasis; cancer-associated fibroblasts; IL-8; ENDOSCOPIC SUBMUCOSAL DISSECTION; PROGNOSIS; OUTCOMES;
D O I
10.3389/fonc.2020.570113
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The consensus of endoscopic therapy for early gastric cancer (EGC) mainly depends on its clinicopathological features. However, the roles of tumor-associated neutrophils (TANs) in EGC remain uncertain. Here, we explored its predictive role for lymph node metastasis (LNM) in EGC. Three hundred twenty-two patients who underwent radical gastrectomy for EGC were enrolled. Preoperative peripheral blood was used to analyze the neutrophil-to-lymphocyte ratio (NLR), and the different status of TANs was determined by hematoxylin-and-eosin staining (H&E) and immunohistochemistry (IHC). TANs, rather than NLR, were positively associated with tumor size, Lauren classification, lymphovascular invasion (LVI), and LNM. Univariate analysis revealed that TANs were associated with LNM as well as tumor size, depth of invasion, Lauren classification, histological classification, LVI, and perineural invasion. In addition to histological classification and LVI, TANs were found to be an independent risk factor for LNM in EGC (P= 0.013). Stratification analysis by depth of invasion showed LVI in SM1 tumor, and both LVI and TANs (P= 0.042) in SM2 tumor were independent risk factors for LNM. In conclusion, TANs in EGC can predict LNM, and TANs may help to estimate LNM precisely in addition to the current criteria.
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页数:10
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