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Histomorphological Factors Predicting the Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
PURPOSE: There is no standard targeted therapy for the treatment of triple-negative breast cancer (TNBC). Therefore, its management heavily depends on adjuvant chemotherapy. Using core needle biopsy, this study evaluated the histological factors of TNBC predicting the response to chemotherapy. METHO...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Breast Cancer Society
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5053310/ https://www.ncbi.nlm.nih.gov/pubmed/27721875 http://dx.doi.org/10.4048/jbc.2016.19.3.261 |
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author | Jung, Yoon Yang Hyun, Chang Lim Jin, Min-Sun Park, In Ae Chung, Yul Ri Shim, Bobae Lee, Kyu Ho Ryu, Han Suk |
author_facet | Jung, Yoon Yang Hyun, Chang Lim Jin, Min-Sun Park, In Ae Chung, Yul Ri Shim, Bobae Lee, Kyu Ho Ryu, Han Suk |
author_sort | Jung, Yoon Yang |
collection | PubMed |
description | PURPOSE: There is no standard targeted therapy for the treatment of triple-negative breast cancer (TNBC). Therefore, its management heavily depends on adjuvant chemotherapy. Using core needle biopsy, this study evaluated the histological factors of TNBC predicting the response to chemotherapy. METHODS: One hundred forty-three TNBC patients who received single-regimen neoadjuvant chemotherapy (NAC) with the combination of doxorubicin, cyclophosphamide, and docetaxel were enrolled. The core needle biopsy specimens acquired before NAC were used to analyze the clinicopathologic variables and overall performance of the predictive model for therapeutic response. RESULTS: Independent predictors of pathologic complete response after NAC were found to be higher number of tumor infiltrating lymphocytes (p=0.007), absence of clear cytoplasm (p=0.008), low necrosis (p=0.018), and high histologic grade (p=0.039). In the receiver operating characteristics curve analysis, the area under curve for the combination of these four variables was 0.777. CONCLUSION: The present study demonstrated that a predictive model using the above four variables can predict therapeutic response to single-regimen NAC with the combination of doxorubicin, cyclophosphamide, and docetaxel in TNBC. Therefore, adding these morphologic variables to clinical and genomic signatures might enhance the ability to predict the therapeutic response to NAC in TNBC. |
format | Online Article Text |
id | pubmed-5053310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Korean Breast Cancer Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-50533102016-10-07 Histomorphological Factors Predicting the Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer Jung, Yoon Yang Hyun, Chang Lim Jin, Min-Sun Park, In Ae Chung, Yul Ri Shim, Bobae Lee, Kyu Ho Ryu, Han Suk J Breast Cancer Original Article PURPOSE: There is no standard targeted therapy for the treatment of triple-negative breast cancer (TNBC). Therefore, its management heavily depends on adjuvant chemotherapy. Using core needle biopsy, this study evaluated the histological factors of TNBC predicting the response to chemotherapy. METHODS: One hundred forty-three TNBC patients who received single-regimen neoadjuvant chemotherapy (NAC) with the combination of doxorubicin, cyclophosphamide, and docetaxel were enrolled. The core needle biopsy specimens acquired before NAC were used to analyze the clinicopathologic variables and overall performance of the predictive model for therapeutic response. RESULTS: Independent predictors of pathologic complete response after NAC were found to be higher number of tumor infiltrating lymphocytes (p=0.007), absence of clear cytoplasm (p=0.008), low necrosis (p=0.018), and high histologic grade (p=0.039). In the receiver operating characteristics curve analysis, the area under curve for the combination of these four variables was 0.777. CONCLUSION: The present study demonstrated that a predictive model using the above four variables can predict therapeutic response to single-regimen NAC with the combination of doxorubicin, cyclophosphamide, and docetaxel in TNBC. Therefore, adding these morphologic variables to clinical and genomic signatures might enhance the ability to predict the therapeutic response to NAC in TNBC. Korean Breast Cancer Society 2016-09 2016-09-23 /pmc/articles/PMC5053310/ /pubmed/27721875 http://dx.doi.org/10.4048/jbc.2016.19.3.261 Text en © 2016 Korean Breast Cancer Society. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Jung, Yoon Yang Hyun, Chang Lim Jin, Min-Sun Park, In Ae Chung, Yul Ri Shim, Bobae Lee, Kyu Ho Ryu, Han Suk Histomorphological Factors Predicting the Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer |
title | Histomorphological Factors Predicting the Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer |
title_full | Histomorphological Factors Predicting the Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer |
title_fullStr | Histomorphological Factors Predicting the Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer |
title_full_unstemmed | Histomorphological Factors Predicting the Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer |
title_short | Histomorphological Factors Predicting the Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer |
title_sort | histomorphological factors predicting the response to neoadjuvant chemotherapy in triple-negative breast cancer |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5053310/ https://www.ncbi.nlm.nih.gov/pubmed/27721875 http://dx.doi.org/10.4048/jbc.2016.19.3.261 |
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