Cancer Research on Prevention and Treatment    2022, Vol. 49 Issue (08) : 843-849     DOI: 10.3971/j.issn.1000-8578.2022.21.1523
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Prognostic Value of Negative Lymph Nodes Count in Solid Tumors
LI Jinzhou1, HUANG Zeping2, MU Yanxi1, YAO Yalong1, WANG Wenjie2, LIU Haipeng2, LIU Jie1, WANG Zhou1, CHEN Xiao2
1. The Second Clinical Medical College of Lanzhou University, Lanzhou 730000, China; 2. Department of General Surgery, The Second Hospital of Lanzhou University, Lanzhou 730000, China
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Abstract The postoperative pathological staging system (pTNM) has become an important reference for the selection of various tumor treatment strategies and prognosis evaluation at a global scale, and is a powerful predictor of the prognosis of a variety of solid tumors, but the prognosis is still different in patients with the same pTNM staging. In recent years, studies have confirmed that the negative lymph nodes count (NLNC) is related to the prognosis of a variety of solid tumors. Higher NLNC can improve the prognosis of cancer patients, and NLNC can reduce staging migration, which is expected to be a supplement to the pTNM staging system. This article reviews the value of NLNC in the prognosis of solid tumors.
Keywords Solid tumors      Negative lymph nodes count      Prognosis      Pathological staging system     
ZTFLH:  R730.7  
Fund:Cuiying Scientific and Technological Innovation Program of Lanzhou University Second Hospital (No. CY2019-BJ06); Innovative Research Foundation of the Higher Education Institutions of Gansu Province (No. 2020B-048); Cuiying Student Research Cultivation Program” of Lanzhou University Second Hospital (No. CYXZ2020-16); Science and Technology Program of Lanzhou (No. 2020-ZD-88, No. 2022-ZD-107)
Issue Date: 11 August 2022
 Cite this article:   
LI Jinzhou,HUANG Zeping,MU Yanxi, et al. Prognostic Value of Negative Lymph Nodes Count in Solid Tumors[J]. Cancer Research on Prevention and Treatment, 2022, 49(08): 843-849.
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http://www.zlfzyj.com/EN/10.3971/j.issn.1000-8578.2022.21.1523
http://www.zlfzyj.com/EN/Y2022/V49/I08/843
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LI Jinzhou
HUANG Zeping
MU Yanxi
YAO Yalong
WANG Wenjie
LIU Haipeng
LIU Jie
WANG Zhou
CHEN Xiao
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