Predictive role of molecular subtypes in response to neoadjuvant chemotherapy in breast cancer patients in Northeast China.

Journal: Asian Pacific Journal Of Cancer Prevention : APJCP
Published:
Abstract

Background: Breast cancer is increasingly regarded as a heterogeneous disease which can be classified into distinct molecular subtypes with prognostic significance.

Methods: ER, PR, HER2 and ki-67 were used to divided 102 breast cancers treated with neoadjuvant chemotherapy (NCT) into 4 subtypes: luminal A (ER+, PR+, HER2-, and ki-67≤14%), luminal B (ER+, PR+, HER2- and ki-67>14% ; ER+ and/or PR+, HER2+), HER2-overexpression (ER-, PR- and HER2+) and triple-negative (ER-, PR-, and HER2-).

Results: Among 102 patients, a pCR was seen in 16 (15.7%) patients. The pathologic complete remission (pC) rates according to different subtypes are as follows: luminal A, 0 of 20 (0.0%), luminal B, 2 of 23 (8.7%), HER2-overexpression 4 of 18 (22.2%), and triple-negative, 10 of 41 (24.4%) (p=0.041). In triple-negative subtype patients, the rates of pCR differed significantly among the 3 chemotherapy regimens with 5.6% (1/18) for CEF (cyclophosphamide, epirubicin and flurouracil), 20.0% (1/5) for TE (docetaxel and epirubicin) and 44.4% (8/18) for TCb (docetaxel and carboplatin) (p=0.024). In locally advanced breast cancer patients, the rates of pCR seem to differ among the 3 chemotherapy regimens with 6.7% (2/30) for CEF, 0.0% (0/8) for TE and 23.1% (6/26) for TCb, but this did not attain statistical significance (p>0.05).

Conclusions: Molecular subtypes are good predictors for response to NCT in breast cancer patients in Northeast China. Compared with luminal A tumors, HER2-overexpression and triple-negative subtypes are more sensitive to NCT. For triple-negative breast cancer, we concluded that the TCb combination is a promising NCT regimen. Our results also indicated that the TCb combination is promising for the treatment of locally advanced breast cancer.

Authors
Minhao Lv, Beibei Li, Yongfeng Li, Xiaoyun Mao, Fan Yao, Feng Jin
Relevant Conditions

Breast Cancer