Body Mass Index Does Not Predict High Miller–Payne Response to Neoadjuvant Chemotherapy in Stage II–III Breast Cancer: A Single-Center Retrospective Cohort Study of 647 Patients

Background: Neoadjuvant chemotherapy (NACT) response in breast cancer is primarily influenced by tumor biology; however, the independent role of host-related factors such as body mass index (BMI) remains unclear. This study evaluated clinicopathological predictors of a high Miller–Payne response after neoadjuvant chemotherapy in patients with stage II–III non-metastatic breast cancer, with particular focus on the role of body mass index. Methods: In this retrospective cohort study, 647 patients with stage II–III non-metastatic breast cancer treated with standard NACT between January 2010 and December 2020 at a single tertiary center were included. High pathological response was defined as Miller–Payne Grades 4–5. Clinical and tumor-related variables were analyzed, including age, menopausal status, body mass index, clinical stage, tumor grade, estrogen receptor status, progesterone receptor status, human epidermal growth factor receptor 2 status, and Ki-67 proliferation index. Univariate and multivariable logistic regression analyses were performed to determine independent predictors of high pathological response. Results: A total of 647 patients were included (mean age: 49.18 ± 10.94 years; mean BMI: 28.45 ± 5.45 kg/m2), of whom 47.45% were postmenopausal. High Miller–Payne response (Grades 4–5) was observed in 40.96% of patients. High response was significantly associated with clinical stage (p = 0.034), tumor grade (p < 0.001), HER2 status (p < 0.001), ER status (p < 0.001), PR status (p < 0.001), and Ki-67 levels (p < 0.001). Median Ki-67 was higher in the high-response group (35.00% [IQR: 20.00–62.75] vs. 25.00% [IQR: 15.00–45.75], p < 0.001). No significant associations were observed for age (p = 0.299), BMI (p = 0.874), or menopausal status (p = 0.289). In multivariable analysis, HER2 positivity (adjusted OR = 3.71, 95% CI: 2.23–6.20, p < 0.001) and Ki-67 (adjusted OR = 1.01 per 1% increase, 95% CI: 1.00–1.02, p = 0.009) were independently associated with high response, whereas ER positivity (adjusted OR = 0.50, 95% CI: 0.25–0.98, p = 0.043) and postmenopausal status (adjusted OR = 0.37, 95% CI: 0.17–0.81, p = 0.013) were inversely associated. BMI was not independently associated with response (p = 0.964). Conclusions: Response to neoadjuvant chemotherapy appears to be mainly determined by tumor biology, particularly receptor status and proliferative activity, rather than anthropometric measures such as body mass index.

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Journal
Journal of Clinical Medicine
Published
2026-04-30
DOI
https://doi.org/10.3390/jcm15093423
Primary Topic
Cancer Risks and Factors
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article

Body Mass Index Does Not Predict High Miller–Payne Response to Neoadjuvant Chemotherapy in Stage II–III Breast Cancer: A Single-Center Retrospective Cohort Study of 647 Patients

Hasan Açık, Serdar Arici
Journal of Clinical Medicine
Cancer Risks and Factors
article

Body Mass Index Does Not Predict High Miller–Payne Response to Neoadjuvant Chemotherapy in Stage II–III Breast Cancer: A Single-Center Retrospective Cohort Study of 647 Patients

Hasan Açık, Serdar Arici
article en

Abstract

Background: Neoadjuvant chemotherapy (NACT) response in breast cancer is primarily influenced by tumor biology; however, the independent role of host-related factors such as body mass index (BMI) remains unclear. This study evaluated clinicopathological predictors of a high Miller–Payne response after neoadjuvant chemotherapy in patients with stage II–III non-metastatic breast cancer, with particular focus on the role of body mass index. Methods: In this retrospective cohort study, 647 patients with stage II–III non-metastatic breast cancer treated with standard NACT between January 2010 and December 2020 at a single tertiary center were included. High pathological response was defined as Miller–Payne Grades 4–5. Clinical and tumor-related variables were analyzed, including age, menopausal status, body mass index, clinical stage, tumor grade, estrogen receptor status, progesterone receptor status, human epidermal growth factor receptor 2 status, and Ki-67 proliferation index. Univariate and multivariable logistic regression analyses were performed to determine independent predictors of high pathological response. Results: A total of 647 patients were included (mean age: 49.18 ± 10.94 years; mean BMI: 28.45 ± 5.45 kg/m2), of whom 47.45% were postmenopausal. High Miller–Payne response (Grades 4–5) was observed in 40.96% of patients. High response was significantly associated with clinical stage (p = 0.034), tumor grade (p < 0.001), HER2 status (p < 0.001), ER status (p < 0.001), PR status (p < 0.001), and Ki-67 levels (p < 0.001). Median Ki-67 was higher in the high-response group (35.00% [IQR: 20.00–62.75] vs. 25.00% [IQR: 15.00–45.75], p < 0.001). No significant associations were observed for age (p = 0.299), BMI (p = 0.874), or menopausal status (p = 0.289). In multivariable analysis, HER2 positivity (adjusted OR = 3.71, 95% CI: 2.23–6.20, p < 0.001) and Ki-67 (adjusted OR = 1.01 per 1% increase, 95% CI: 1.00–1.02, p = 0.009) were independently associated with high response, whereas ER positivity (adjusted OR = 0.50, 95% CI: 0.25–0.98, p = 0.043) and postmenopausal status (adjusted OR = 0.37, 95% CI: 0.17–0.81, p = 0.013) were inversely associated. BMI was not independently associated with response (p = 0.964). Conclusions: Response to neoadjuvant chemotherapy appears to be mainly determined by tumor biology, particularly receptor status and proliferative activity, rather than anthropometric measures such as body mass index.

Journal of Clinical MedicineVol. 15(9)
Okan University (TR)
Good health and well-being
Openalex Percentile: Top 12%
Cancer Risks and Factors
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