Histomorphological Factors Predicting the Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer.open access
- Authors
- ung, Yoon Yang; Hyun, C.L; Jin, 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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