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A nomogram for predicting the HER2 status in female patients with breast cancer in China: a nationwide, multicenter, 10-year epidemiological study
BACKGROUND: The concordance rate of human epidermal growth factor receptor 2 (HER2) status between core needle biopsy (CNB) and subsequent excisional biopsies of the same tumor varies from 81 to 96%, which may cause inappropriate neoadjuvant therapy that impair the potential benefit from HER2 target...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500005/ https://www.ncbi.nlm.nih.gov/pubmed/31054583 http://dx.doi.org/10.1186/s13000-019-0806-4 |
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author | Zhang, Huimin Xie, Peiling Li, Zhuoying Huang, Rong Feng, Weiliang Kong, Yanan Xu, Feng Zhao, Lin Song, Qingkun Li, Jing Zhang, Baoning Fan, Jinhu Qiao, Youlin Xie, Xiaoming Zheng, Shan He, Jianjun Wang, Ke |
author_facet | Zhang, Huimin Xie, Peiling Li, Zhuoying Huang, Rong Feng, Weiliang Kong, Yanan Xu, Feng Zhao, Lin Song, Qingkun Li, Jing Zhang, Baoning Fan, Jinhu Qiao, Youlin Xie, Xiaoming Zheng, Shan He, Jianjun Wang, Ke |
author_sort | Zhang, Huimin |
collection | PubMed |
description | BACKGROUND: The concordance rate of human epidermal growth factor receptor 2 (HER2) status between core needle biopsy (CNB) and subsequent excisional biopsies of the same tumor varies from 81 to 96%, which may cause inappropriate neoadjuvant therapy that impair the potential benefit from HER2 targeted therapy for patients. This study aimed to establish a nomogram to predict the HER2 status pre-operatively as an auxiliary diagnosis to CNB assessment. METHODS: Among 4211 breast cancer patients cataloged in the Nation-wide Multicenter 10-year Retrospective Clinical Epidemiological Study of Breast Cancer in China, 2291 patients with complete relevant information were included in this study, which were further randomized 3:1 and divided into a training set and a validation set. The nomogram was established based on independent predictors of HER2 positivity recognized by logistic regression analysis and further validated internally and externally. RESULTS: The multivariate logistic regression analysis showed that T-stage, N-stage, estrogen receptor (ER) status, progesterone receptor (PR) status were independent predictors for HER2 status. The nomogram was thereby constructed by those independent predictors as well as histology type. The areas under the receiver operating characteristic curve (AUC) of the training set and the validation set were 0.636 and 0.681, respectively. The calibration plots demonstrated good fitness of the nomogram for HER2 status prediction. With the optimal cutoff value, the nomogram yielded 80.0% sensitivity, 43.1% specificity in the training set and 81.1% sensitivity, 49.8% specificity in the validation set. CONCLUSIONS: The present nomogram can provide valuable information on HER2 status and combined with standard CNB assessment, clinicians could make more appropriate decision on neoadjuvant therapy of breast cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13000-019-0806-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6500005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65000052019-05-09 A nomogram for predicting the HER2 status in female patients with breast cancer in China: a nationwide, multicenter, 10-year epidemiological study Zhang, Huimin Xie, Peiling Li, Zhuoying Huang, Rong Feng, Weiliang Kong, Yanan Xu, Feng Zhao, Lin Song, Qingkun Li, Jing Zhang, Baoning Fan, Jinhu Qiao, Youlin Xie, Xiaoming Zheng, Shan He, Jianjun Wang, Ke Diagn Pathol Research BACKGROUND: The concordance rate of human epidermal growth factor receptor 2 (HER2) status between core needle biopsy (CNB) and subsequent excisional biopsies of the same tumor varies from 81 to 96%, which may cause inappropriate neoadjuvant therapy that impair the potential benefit from HER2 targeted therapy for patients. This study aimed to establish a nomogram to predict the HER2 status pre-operatively as an auxiliary diagnosis to CNB assessment. METHODS: Among 4211 breast cancer patients cataloged in the Nation-wide Multicenter 10-year Retrospective Clinical Epidemiological Study of Breast Cancer in China, 2291 patients with complete relevant information were included in this study, which were further randomized 3:1 and divided into a training set and a validation set. The nomogram was established based on independent predictors of HER2 positivity recognized by logistic regression analysis and further validated internally and externally. RESULTS: The multivariate logistic regression analysis showed that T-stage, N-stage, estrogen receptor (ER) status, progesterone receptor (PR) status were independent predictors for HER2 status. The nomogram was thereby constructed by those independent predictors as well as histology type. The areas under the receiver operating characteristic curve (AUC) of the training set and the validation set were 0.636 and 0.681, respectively. The calibration plots demonstrated good fitness of the nomogram for HER2 status prediction. With the optimal cutoff value, the nomogram yielded 80.0% sensitivity, 43.1% specificity in the training set and 81.1% sensitivity, 49.8% specificity in the validation set. CONCLUSIONS: The present nomogram can provide valuable information on HER2 status and combined with standard CNB assessment, clinicians could make more appropriate decision on neoadjuvant therapy of breast cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13000-019-0806-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-04 /pmc/articles/PMC6500005/ /pubmed/31054583 http://dx.doi.org/10.1186/s13000-019-0806-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Zhang, Huimin Xie, Peiling Li, Zhuoying Huang, Rong Feng, Weiliang Kong, Yanan Xu, Feng Zhao, Lin Song, Qingkun Li, Jing Zhang, Baoning Fan, Jinhu Qiao, Youlin Xie, Xiaoming Zheng, Shan He, Jianjun Wang, Ke A nomogram for predicting the HER2 status in female patients with breast cancer in China: a nationwide, multicenter, 10-year epidemiological study |
title | A nomogram for predicting the HER2 status in female patients with breast cancer in China: a nationwide, multicenter, 10-year epidemiological study |
title_full | A nomogram for predicting the HER2 status in female patients with breast cancer in China: a nationwide, multicenter, 10-year epidemiological study |
title_fullStr | A nomogram for predicting the HER2 status in female patients with breast cancer in China: a nationwide, multicenter, 10-year epidemiological study |
title_full_unstemmed | A nomogram for predicting the HER2 status in female patients with breast cancer in China: a nationwide, multicenter, 10-year epidemiological study |
title_short | A nomogram for predicting the HER2 status in female patients with breast cancer in China: a nationwide, multicenter, 10-year epidemiological study |
title_sort | nomogram for predicting the her2 status in female patients with breast cancer in china: a nationwide, multicenter, 10-year epidemiological study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500005/ https://www.ncbi.nlm.nih.gov/pubmed/31054583 http://dx.doi.org/10.1186/s13000-019-0806-4 |
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