Modified lymph node ratio improves the prognostic predictive ability for breast cancer patients compared with other lymph node staging systems

Background: Metastatic regional lymph nodes (LN) is a strong predictor of worse long-term outcome. Therefore, different LN staging systems have been proposed in recent years. In this study, we proposed a modified lymph node ratio (mLNR) as a new lymph node staging system and then compared the progno...

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Main Authors: Ming-Liang Jin, Yue Gong, Yu-Cheng Pei, Peng Ji, Xin Hu, Zhi-Ming Shao
Format: Article
Language:English
Published: Elsevier 2020-02-01
Series:Breast
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0960977619305958
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spelling doaj-732d91d497674ab8aaaeb0b21fb221ba2020-11-25T04:08:20ZengElsevierBreast1532-30802020-02-014993100Modified lymph node ratio improves the prognostic predictive ability for breast cancer patients compared with other lymph node staging systemsMing-Liang Jin0Yue Gong1Yu-Cheng Pei2Peng Ji3Xin Hu4Zhi-Ming Shao5Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, ChinaDepartment of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, ChinaPrecision Cancer Medicine Center, Shanghai, 200032, ChinaDepartment of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, ChinaDepartment of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China; Corresponding author. Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai 200032, PR China.Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China; Institutes of Biomedical Science, Fudan University, Shanghai, 200032, China; Corresponding author. Department of Breast Surgery Fudan University Shanghai Cancer Center 270 Dong-An Road, Shanghai, 200032, PR China.Background: Metastatic regional lymph nodes (LN) is a strong predictor of worse long-term outcome. Therefore, different LN staging systems have been proposed in recent years. In this study, we proposed a modified lymph node ratio (mLNR) as a new lymph node staging system and then compared the prognostic performance of mLNR with American Joint Committee on Cancer N stage, lymph node ratio (LNR) and log odds of metastatic lymph nodes in breast cancer patients. Methods: Breast cancer patients who underwent surgery between 2004 and 2012 were identified from the Surveillance, Epidemiology, and End Results database. Restricted cubic spline functions were calculated to characterize the association between variables and the risk of death. The Cox proportional hazards models were constructed to assess the predictive ability of different lymph node staging systems using the Akaike’s Information Criterion (AIC) and Harrell’s concordance index (C-index). Results: A total of 264,096 breast cancer patients were enrolled and 187,785 (71.1%) patients had a limited number of LNs harvested. In the limited LN harvest cohort, the prognostic performance of LNR decreased and mLNR could greatly solve this problem. In addition, among the entire cohort, mLNR modeled as a continuous value had the best predictive ability (AIC: 922021.9 and C-index: 0.727) than other lymph node staging systems. Conclusions: The predictive ability of LNR is restricted by a limited LN harvest. However, mLNR shows superiority to LNR and other lymph node staging systems especially in a limited LN harvest cohort, making mLNR the most powerful lymph node staging systems.http://www.sciencedirect.com/science/article/pii/S0960977619305958Breast cancerLymph node stagingPrognosisLymph node ratioLog odds of positive lymph nodes
collection DOAJ
language English
format Article
sources DOAJ
author Ming-Liang Jin
Yue Gong
Yu-Cheng Pei
Peng Ji
Xin Hu
Zhi-Ming Shao
spellingShingle Ming-Liang Jin
Yue Gong
Yu-Cheng Pei
Peng Ji
Xin Hu
Zhi-Ming Shao
Modified lymph node ratio improves the prognostic predictive ability for breast cancer patients compared with other lymph node staging systems
Breast
Breast cancer
Lymph node staging
Prognosis
Lymph node ratio
Log odds of positive lymph nodes
author_facet Ming-Liang Jin
Yue Gong
Yu-Cheng Pei
Peng Ji
Xin Hu
Zhi-Ming Shao
author_sort Ming-Liang Jin
title Modified lymph node ratio improves the prognostic predictive ability for breast cancer patients compared with other lymph node staging systems
title_short Modified lymph node ratio improves the prognostic predictive ability for breast cancer patients compared with other lymph node staging systems
title_full Modified lymph node ratio improves the prognostic predictive ability for breast cancer patients compared with other lymph node staging systems
title_fullStr Modified lymph node ratio improves the prognostic predictive ability for breast cancer patients compared with other lymph node staging systems
title_full_unstemmed Modified lymph node ratio improves the prognostic predictive ability for breast cancer patients compared with other lymph node staging systems
title_sort modified lymph node ratio improves the prognostic predictive ability for breast cancer patients compared with other lymph node staging systems
publisher Elsevier
series Breast
issn 1532-3080
publishDate 2020-02-01
description Background: Metastatic regional lymph nodes (LN) is a strong predictor of worse long-term outcome. Therefore, different LN staging systems have been proposed in recent years. In this study, we proposed a modified lymph node ratio (mLNR) as a new lymph node staging system and then compared the prognostic performance of mLNR with American Joint Committee on Cancer N stage, lymph node ratio (LNR) and log odds of metastatic lymph nodes in breast cancer patients. Methods: Breast cancer patients who underwent surgery between 2004 and 2012 were identified from the Surveillance, Epidemiology, and End Results database. Restricted cubic spline functions were calculated to characterize the association between variables and the risk of death. The Cox proportional hazards models were constructed to assess the predictive ability of different lymph node staging systems using the Akaike’s Information Criterion (AIC) and Harrell’s concordance index (C-index). Results: A total of 264,096 breast cancer patients were enrolled and 187,785 (71.1%) patients had a limited number of LNs harvested. In the limited LN harvest cohort, the prognostic performance of LNR decreased and mLNR could greatly solve this problem. In addition, among the entire cohort, mLNR modeled as a continuous value had the best predictive ability (AIC: 922021.9 and C-index: 0.727) than other lymph node staging systems. Conclusions: The predictive ability of LNR is restricted by a limited LN harvest. However, mLNR shows superiority to LNR and other lymph node staging systems especially in a limited LN harvest cohort, making mLNR the most powerful lymph node staging systems.
topic Breast cancer
Lymph node staging
Prognosis
Lymph node ratio
Log odds of positive lymph nodes
url http://www.sciencedirect.com/science/article/pii/S0960977619305958
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