Introduction To evaluate the predictive significance of pretreatment metabolic tumor volume on pathologic response in patients who received neoadjuvant chemotherapy for breast cancer. Methods Seventy patients who received neoadjuvant chemotherapy between 2013 and 2017 years were enrolled in the study. Pathologic responses and 18-fluorodeoxyglucose positron emission tomography/computed tomography metabolic dates of patients were obtained from archive files. Results Forty-six (65.7%) patients were in stage II and 24 (34.3%) patients were in stage III; 25 (35.7%) patients were human epidermal growth factor receptor 2 positive, 46 (65.7%) patients were estrogen receptor-positive, 26 (37.1%) patients were progesterone receptor-positive. According to the Miller-Payne grading system, 24 (34.3%) patients constituted 100% pathological response; patients with 91–99% pathological response were 12 (17.1%), the number of patients with non-pathologic response was 6 (8.6%). Median metabolic tumor volume was 7.3 cm3 (7.1 ± 3.5), 8.8 (11.4 ± 9.4), 7.7 (8.3 ± 4.6) and 22 cm3 (19.8 ± 11.0) in patients with stages IIA, IIB, IIIA, and IIIB, respectively ( p = 0.032). In Miller-Payne grading, the median metabolic tumor volume value was higher in patients with no pathologic response group than 100% response group ( p = 0.003). The cut-off metabolic tumor volume value determining no pathologic response was calculated as higher than 13.62 cm3 (sensitivity 83.3% and specificity 82.8%). Conclusions Our study results suggest that higher pretreatment metabolic tumor volume values are predictive on no pathologic response in patients treated with neoadjuvant chemotherapy for breast cancer.
To investigate whether androgen receptor (AR) status affects neoadjuvant chemotherapy (NACT) in stage II and III Turkish breast cancer patients. Methods: The histological response for breast and axilla was assessed according to the Miller-Payne grading system. In light microscopy, nuclear staining in tumor cells was evaluated, and nuclear staining above 1% was accepted as positive for AR expression. The patients were divided into 3 groups according to the intensity of AR staining: low, moderate, and high. Results: In total, 71 women with breast cancer were included in the study. In univariate analysis, age, menopause status, tumor diameter, stage, histological grade, Ki-67, estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 (HER-2) status were tested to determine which of these factors were associated with > 90% responsiveness. AR negativity was found to be the only statistically significant factor. In multivariate analysis, AR positivity at each intensity was found to be the single important factor affecting decreasing pathologic response in patients receiving NACT for breast cancer. Conclusion: Our results show that AR positivity is associated with poor response to NACT in Turkish breast cancer patients and that AR positivity is independent of stage, hormone receptor status, HER-2 status, and disease stage.
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