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Histomorphological Factors Predicting the Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer.open access

Authors
ung, Yoon YangHyun, C.LJin, M.-S.Park, I.A.Chung, Y.R.Shim, B.Lee, K.H.Ryu, H.S.
Issue Date
Sep-2016
Publisher
KOREAN BREAST CANCER SOC
Keywords
Core needle biopsy; Neoadjuvant therapy; Treatment outcome; Triple-negative breast neoplasms
Citation
JOURNAL OF BREAST CANCER, v.19, no.3, pp.261 - 267
Indexed
SCIE
SCOPUS
KCI
Journal Title
JOURNAL OF BREAST CANCER
Volume
19
Number
3
Start Page
261
End Page
267
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/153939
DOI
10.4048/jbc.2016.19.3.261
ISSN
1738-6756
Abstract
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.
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