共 19 条
Value of lymph node ratio as a prognostic factor of recurrence in medullary thyroid cancer
被引:3
作者:
Hao, Weijing
[1
]
Zhao, Jingzhu
[1
]
Guo, Fengli
[1
,2
]
Gu, Pengfei
[1
]
Zhang, Jinming
[1
]
Huang, Dongmei
[1
]
Ruan, Xianhui
[1
]
Zeng, Yu
[1
]
Zheng, Xiangqian
[1
]
Gao, Ming
[1
,3
,4
]
机构:
[1] Tianjin Med Univ Canc Inst & Hosp, Natl Clin Res Ctr Canc, Tianjins Clin Res Ctr Canc, Dept Thyroid & Neck Tumor,Key Lab Canc Prevent & T, Tianjin, Peoples R China
[2] Binzhou Med Univ Hosp, Dept Thyroid & Breast Surg, Binzhou, Shandong, Peoples R China
[3] Tianjin Union Med Ctr, Dept Thyroid & Breast Surg, Tianjin, Peoples R China
[4] Tianjin Union Med Ctr, Tianjin Key Lab Gen Surg Construct, Tianjin, Peoples R China
来源:
基金:
中国国家自然科学基金;
关键词:
Medullary thyroid cancer;
Lymph node ratio;
Metastatic lymph node;
Resected lymph node;
Disease-free survival;
Overall survival;
CARCINOMA;
MANAGEMENT;
CALCITONIN;
SURVIVAL;
D O I:
10.7717/peerj.15025
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Background and Objectives: The purpose of this study is to evaluate the relationship between lymph node status (the number of resected lymph nodes; the number of metastatic lymph nodes, LNM, and lymph node ratio, LNR) and biochemical recurrence, disease-free survival (DFS), as well as overall survival (OS) in medullary thyroid carcinoma (MTC).Methods: This study enrolled MTC patients at Tianjin Medical University Cancer Institute and Hospital between 2011 and 2019. We used Logistic regression analysis, Cox regression models and Kaplan-Meier test to identify risk factors influencing biochemical recurrence, DFS, and OS.Results: We identified 160 patients who satisfied the inclusion criteria from 2011 to 2019. We used ROC analysis to define the cut-off value of LNR with 0.24. Multifocality, preoperative calcitonin levels, pathologic N stage, resected lymph nodes, LNM, LNR, and the American Joint Committee on Cancer (AJCC) clinical stage were significant (P < 0.05) prognostic factors influencing biochemical cure. In univariable analyses, gross extrathyroidal extension, preoperative calcitonin levels, pathologic T classification, pathologic N stage, resected lymph nodes, LNM, LNR, AJCC clinical stage, and biochemical cure were significant (P < 0.05) factors of DFS. When the multivariable analysis was performed, LNR was identified as predictor of DFS (HR = 4.818, 95% CI [1.270-18.276]). Univariable Cox regression models reflected that tumor size, pathologic N stage, and LNR were predictor of OS. Furthermore, multivariable analysis manifested that LNR was predictor of OS (HR = 10.061, 95% CI [1.222-82.841]).Conclusions: This study illustrated that LNR was independent prognostic factor of DFS and OS in MTC. In addition, LNR influenced biochemical cure. Further investigations are needed to determine the optimal cut-off value for predicting prognosis.
引用
收藏
页数:16
相关论文