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Grade-lymph node ratio predicts the survival of breast cancer in different molecular types: A surveillance, epidemiology, and end results population-based analysis

The prognostic value and conflicting results of metastatic lymph node ratio (mLNR) on breast cancer have aroused an increasing concern. We aimed to evaluate the imperative of mLNR classification and prognostic factors in breast cancer with molecular subtypes. This study uses the database of surveill...

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Autores principales: Liu, Chaoqun, Li, Huiyao, Zhuo, Ran, Wang, Lijun, He, Lihua, Ruan, Qiqi, Luan, Xiaoyi, Mo, Xiujuan, Sun, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6641679/
https://www.ncbi.nlm.nih.gov/pubmed/31305469
http://dx.doi.org/10.1097/MD.0000000000016436
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author Liu, Chaoqun
Li, Huiyao
Zhuo, Ran
Wang, Lijun
He, Lihua
Ruan, Qiqi
Luan, Xiaoyi
Mo, Xiujuan
Sun, Yi
author_facet Liu, Chaoqun
Li, Huiyao
Zhuo, Ran
Wang, Lijun
He, Lihua
Ruan, Qiqi
Luan, Xiaoyi
Mo, Xiujuan
Sun, Yi
author_sort Liu, Chaoqun
collection PubMed
description The prognostic value and conflicting results of metastatic lymph node ratio (mLNR) on breast cancer have aroused an increasing concern. We aimed to evaluate the imperative of mLNR classification and prognostic factors in breast cancer with molecular subtypes. This study uses the database of surveillance, epidemiology, and end results (SEER) to investigate the imperative for reliable mLNR classification and critical prognostic factors in breast cancer with different molecular subtypes. The prognostic characteristics for disease-specific survival (DSS) of breast cancer were investigated in the SEER cohort (n = 3651). mLNR (P = .017) and histology grade (P < .001) were independent factors. A novel grade-lymph node ratio (G-R) staging system was proposed for breast cancer prognosis. The receiver operating characteristic curves revealed that the G-R staging system had an accurate 1-, 3-, and 5-year DSS prediction. Further stratification analysis with molecular subtypes of breast cancer (Luminal and TNBC) first proved robust prognostic values of the G-R staging system among molecular subtypes. The current population-based cohort demonstrated the capacity of mLNR serving as a critical prognostic factor. Also, G-R staging system has the potential to be regarded as reliable classification for breast cancer patients with different molecular subtypes.
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spelling pubmed-66416792019-08-15 Grade-lymph node ratio predicts the survival of breast cancer in different molecular types: A surveillance, epidemiology, and end results population-based analysis Liu, Chaoqun Li, Huiyao Zhuo, Ran Wang, Lijun He, Lihua Ruan, Qiqi Luan, Xiaoyi Mo, Xiujuan Sun, Yi Medicine (Baltimore) Research Article The prognostic value and conflicting results of metastatic lymph node ratio (mLNR) on breast cancer have aroused an increasing concern. We aimed to evaluate the imperative of mLNR classification and prognostic factors in breast cancer with molecular subtypes. This study uses the database of surveillance, epidemiology, and end results (SEER) to investigate the imperative for reliable mLNR classification and critical prognostic factors in breast cancer with different molecular subtypes. The prognostic characteristics for disease-specific survival (DSS) of breast cancer were investigated in the SEER cohort (n = 3651). mLNR (P = .017) and histology grade (P < .001) were independent factors. A novel grade-lymph node ratio (G-R) staging system was proposed for breast cancer prognosis. The receiver operating characteristic curves revealed that the G-R staging system had an accurate 1-, 3-, and 5-year DSS prediction. Further stratification analysis with molecular subtypes of breast cancer (Luminal and TNBC) first proved robust prognostic values of the G-R staging system among molecular subtypes. The current population-based cohort demonstrated the capacity of mLNR serving as a critical prognostic factor. Also, G-R staging system has the potential to be regarded as reliable classification for breast cancer patients with different molecular subtypes. Wolters Kluwer Health 2019-07-12 /pmc/articles/PMC6641679/ /pubmed/31305469 http://dx.doi.org/10.1097/MD.0000000000016436 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle Research Article
Liu, Chaoqun
Li, Huiyao
Zhuo, Ran
Wang, Lijun
He, Lihua
Ruan, Qiqi
Luan, Xiaoyi
Mo, Xiujuan
Sun, Yi
Grade-lymph node ratio predicts the survival of breast cancer in different molecular types: A surveillance, epidemiology, and end results population-based analysis
title Grade-lymph node ratio predicts the survival of breast cancer in different molecular types: A surveillance, epidemiology, and end results population-based analysis
title_full Grade-lymph node ratio predicts the survival of breast cancer in different molecular types: A surveillance, epidemiology, and end results population-based analysis
title_fullStr Grade-lymph node ratio predicts the survival of breast cancer in different molecular types: A surveillance, epidemiology, and end results population-based analysis
title_full_unstemmed Grade-lymph node ratio predicts the survival of breast cancer in different molecular types: A surveillance, epidemiology, and end results population-based analysis
title_short Grade-lymph node ratio predicts the survival of breast cancer in different molecular types: A surveillance, epidemiology, and end results population-based analysis
title_sort grade-lymph node ratio predicts the survival of breast cancer in different molecular types: a surveillance, epidemiology, and end results population-based analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6641679/
https://www.ncbi.nlm.nih.gov/pubmed/31305469
http://dx.doi.org/10.1097/MD.0000000000016436
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