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. 2008 Mar 5;121(5):387-91.

Biological markers as predictive factors of response to neoadjuvant taxanes and anthracycline chemotherapy in breast carcinoma

Affiliations
  • PMID: 18364105

Biological markers as predictive factors of response to neoadjuvant taxanes and anthracycline chemotherapy in breast carcinoma

Bo Zhou et al. Chin Med J (Engl). .

Abstract

Background: Neoadjuvant chemotherapy provides an excellent model for evaluation of potential predictive factors. The objective of this study was to evaluate the predictive value of different biological factors in breast cancer patients treated with neoadjuvant taxane and anthracycline chemotherapy.

Methods: One hundred and thirty-five patients treated with 4 cycles of neoadjuvant taxanes and anthracycline were included in this retrospective study. Using pretreatment biopsy materials, immunohistochemical studies were performed for estrogen receptor (ER), progesterone receptor (PgR), HER-2, Ki-67 and p53 protein expression. The associations among biological markers and clinical and pathological complete response (pCR) were analyzed.

Results: The overall clinical response was 86%, including 33% clinical complete response (cCR) and 53% clinical partial response. The pCR was just 17%. In the univariate analysis, only HER-2 overexpression was predictive of cCR to neoadjuvant chemotherapy (P=0.018). No significant associations between other biological factors and cCR were found. Absence of ER, PgR expression and overexpression of HER-2 were predictive of the pCR (P=0.002, 0.001, 0.01, respectively). Ki-67 and p53 failed to show an association with pCR. In multivariate analysis, overexpression of HER-2 remained as an independent variable in predicting the cCR (P=0.021). However, negative ER was the only parameter that maintained statistical significance in predicting the pCR (P=0.001).

Conclusions: Patients with overexpression of HER-2 and negative hormonal receptor status are much more likely to respond to neoadjuvant taxane and anthracycline chemotherapy than those with the opposite characteristics. These factors could serve as predictive markers for this regimen.

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