Early prediction of pathological complete response in luminal B type neoadjuvant chemotherapy-treated breast cancer patients

2015 ◽  
Vol 36 (9) ◽  
pp. 887-891 ◽  
Author(s):  
Kisoo Pahk ◽  
Sungeun Kim ◽  
Jae Gol Choe
2013 ◽  
Vol 2013 ◽  
pp. 1-9
Author(s):  
Junichi Asano ◽  
Akihiro Hirakawa ◽  
Chikuma Hamada ◽  
Kan Yonemori ◽  
Taizo Hirata ◽  
...  

In prognostic studies for breast cancer patients treated with neoadjuvant chemotherapy (NAC), the ordinary Cox proportional-hazards (PH) model has been often used to identify prognostic factors for disease-free survival (DFS). This model assumes that all patients eventually experience relapse or death. However, a subset of NAC-treated breast cancer patients never experience these events during long-term follow-up (>10 years) and may be considered clinically “cured.” Clinical factors associated with cure have not been studied adequately. Because the ordinary Cox PH model cannot be used to identify such clinical factors, we used the Cox PH cure model, a recently developed statistical method. This model includes both a logistic regression component for the cure rate and a Cox regression component for the hazard for uncured patients. The purpose of this study was to identify the clinical factors associated with cure and the variables associated with the time to recurrence or death in NAC-treated breast cancer patients without a pathologic complete response, by using the Cox PH cure model. We found that hormone receptor status, clinical response, human epidermal growth factor receptor 2 status, histological grade, and the number of lymph node metastases were associated with cure.


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