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A decision tree-based prediction model for fluorescence in situ hybridization HER2 gene status in HER2 immunohistochemistry-2+ breast cancers: a 2538-case multicenter study on consecutive surgical specimens

Objective: To investigate the proportion of HER2 gene amplifications and the association between the HER2-IHC-staining pattern and gene status in IHC-2+ breast cancers according to 2013 American Society of Clinical Oncology (ASCO)/College of American Pathologists (CAP) guidelines. Methods: We retros...

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Autores principales: Yang, Libo, Zhang, Zhang, Li, Jiayuan, Chen, Min, Yang, Jieliang, Fu, Jing, Bu, Hong, Tang, Shaoxian, Liu, Yueping, Li, Huixiang, Li, Xiaomei, Xu, Fangping, Teng, Xiaodong, Yang, Yinghong, Ma, Yun, Guo, Shuangping, Wang, Jinfen, Guo, Deyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036724/
https://www.ncbi.nlm.nih.gov/pubmed/30026828
http://dx.doi.org/10.7150/jca.25586
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author Yang, Libo
Zhang, Zhang
Li, Jiayuan
Chen, Min
Yang, Jieliang
Fu, Jing
Bu, Hong
Tang, Shaoxian
Liu, Yueping
Li, Huixiang
Li, Xiaomei
Xu, Fangping
Teng, Xiaodong
Yang, Yinghong
Ma, Yun
Guo, Shuangping
Wang, Jinfen
Guo, Deyu
author_facet Yang, Libo
Zhang, Zhang
Li, Jiayuan
Chen, Min
Yang, Jieliang
Fu, Jing
Bu, Hong
Tang, Shaoxian
Liu, Yueping
Li, Huixiang
Li, Xiaomei
Xu, Fangping
Teng, Xiaodong
Yang, Yinghong
Ma, Yun
Guo, Shuangping
Wang, Jinfen
Guo, Deyu
author_sort Yang, Libo
collection PubMed
description Objective: To investigate the proportion of HER2 gene amplifications and the association between the HER2-IHC-staining pattern and gene status in IHC-2+ breast cancers according to 2013 American Society of Clinical Oncology (ASCO)/College of American Pathologists (CAP) guidelines. Methods: We retrospectively analyzed and re-evaluated the IHC-staining pattern of 2538 IHC-2+ surgical specimens of breast cancer from November 2014 to October 2015 in 12 institutions. All cases used for building a prediction model of HER2 gene amplification according to the IHC-staining pattern and were randomly divided into a training set (n = 1914) or validation set (n = 624). Results: The overall HER2 fluorescence in situ hybridization (FISH) amplification, non-amplification and equivocation rates in HER2 IHC-2+ cases were 17.8%, 76.2% and 6.0%, respectively. In the training set, cases that had ≤ 10% of cells with intense, complete and circumferential membrane staining or had > 85% of cells with complete membrane staining of any staining intensity tended to be HER2 gene amplified (77.0% and 60.5%, respectively). And cases with weak and incomplete membrane staining had the lowest amplification rate of 6.1%. The prediction model was constructed based on IHC-staining pattern in the training set and validated using a validation set. The positive and negative prediction values were 51.6% and 79.2%, respectively, in the validation set. Moreover, the HER2 copy number per cell was much higher in cases with amplification-associated staining patterns (7.84 and 8.75) than in cases with non-amplification-associated staining patterns (2.97 to 4.41, P < 0.05). Conclusions: In HER2 IHC-2+ breast cancers, the staining pattern is associated with the HER2 gene status. This finding is compatible with recommendations of 2013 ASCO/CAP guidelines.
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spelling pubmed-60367242018-07-19 A decision tree-based prediction model for fluorescence in situ hybridization HER2 gene status in HER2 immunohistochemistry-2+ breast cancers: a 2538-case multicenter study on consecutive surgical specimens Yang, Libo Zhang, Zhang Li, Jiayuan Chen, Min Yang, Jieliang Fu, Jing Bu, Hong Tang, Shaoxian Liu, Yueping Li, Huixiang Li, Xiaomei Xu, Fangping Teng, Xiaodong Yang, Yinghong Ma, Yun Guo, Shuangping Wang, Jinfen Guo, Deyu J Cancer Research Paper Objective: To investigate the proportion of HER2 gene amplifications and the association between the HER2-IHC-staining pattern and gene status in IHC-2+ breast cancers according to 2013 American Society of Clinical Oncology (ASCO)/College of American Pathologists (CAP) guidelines. Methods: We retrospectively analyzed and re-evaluated the IHC-staining pattern of 2538 IHC-2+ surgical specimens of breast cancer from November 2014 to October 2015 in 12 institutions. All cases used for building a prediction model of HER2 gene amplification according to the IHC-staining pattern and were randomly divided into a training set (n = 1914) or validation set (n = 624). Results: The overall HER2 fluorescence in situ hybridization (FISH) amplification, non-amplification and equivocation rates in HER2 IHC-2+ cases were 17.8%, 76.2% and 6.0%, respectively. In the training set, cases that had ≤ 10% of cells with intense, complete and circumferential membrane staining or had > 85% of cells with complete membrane staining of any staining intensity tended to be HER2 gene amplified (77.0% and 60.5%, respectively). And cases with weak and incomplete membrane staining had the lowest amplification rate of 6.1%. The prediction model was constructed based on IHC-staining pattern in the training set and validated using a validation set. The positive and negative prediction values were 51.6% and 79.2%, respectively, in the validation set. Moreover, the HER2 copy number per cell was much higher in cases with amplification-associated staining patterns (7.84 and 8.75) than in cases with non-amplification-associated staining patterns (2.97 to 4.41, P < 0.05). Conclusions: In HER2 IHC-2+ breast cancers, the staining pattern is associated with the HER2 gene status. This finding is compatible with recommendations of 2013 ASCO/CAP guidelines. Ivyspring International Publisher 2018-06-06 /pmc/articles/PMC6036724/ /pubmed/30026828 http://dx.doi.org/10.7150/jca.25586 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Yang, Libo
Zhang, Zhang
Li, Jiayuan
Chen, Min
Yang, Jieliang
Fu, Jing
Bu, Hong
Tang, Shaoxian
Liu, Yueping
Li, Huixiang
Li, Xiaomei
Xu, Fangping
Teng, Xiaodong
Yang, Yinghong
Ma, Yun
Guo, Shuangping
Wang, Jinfen
Guo, Deyu
A decision tree-based prediction model for fluorescence in situ hybridization HER2 gene status in HER2 immunohistochemistry-2+ breast cancers: a 2538-case multicenter study on consecutive surgical specimens
title A decision tree-based prediction model for fluorescence in situ hybridization HER2 gene status in HER2 immunohistochemistry-2+ breast cancers: a 2538-case multicenter study on consecutive surgical specimens
title_full A decision tree-based prediction model for fluorescence in situ hybridization HER2 gene status in HER2 immunohistochemistry-2+ breast cancers: a 2538-case multicenter study on consecutive surgical specimens
title_fullStr A decision tree-based prediction model for fluorescence in situ hybridization HER2 gene status in HER2 immunohistochemistry-2+ breast cancers: a 2538-case multicenter study on consecutive surgical specimens
title_full_unstemmed A decision tree-based prediction model for fluorescence in situ hybridization HER2 gene status in HER2 immunohistochemistry-2+ breast cancers: a 2538-case multicenter study on consecutive surgical specimens
title_short A decision tree-based prediction model for fluorescence in situ hybridization HER2 gene status in HER2 immunohistochemistry-2+ breast cancers: a 2538-case multicenter study on consecutive surgical specimens
title_sort decision tree-based prediction model for fluorescence in situ hybridization her2 gene status in her2 immunohistochemistry-2+ breast cancers: a 2538-case multicenter study on consecutive surgical specimens
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036724/
https://www.ncbi.nlm.nih.gov/pubmed/30026828
http://dx.doi.org/10.7150/jca.25586
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