Understanding the association between body mass index and chemotherapy dose reductions in women treated for stage I-IIIA breast cancer

Historically, breast cancer patients with obesity have been more likely than normal-weight patients to receive dose-reduced chemotherapy, although contemporary dosing practices of patients with obesity remain unclear. Among 9708 women treated with adjuvant chemotherapy for stage I-IIIA breast cancer at two integrated healthcare delivery systems (2005-2019), we used generalized linear models to estimate adjusted prevalence ratios between body mass index (BMI) and comorbidity and chemotherapy dosing (first cycle dose reduction (FCDR), dose proportion < 90%) and average relative dose intensity (ARDI) < 90%). A strong, independent association was observed between BMI and FCDR (PR<sub>BMI:40+ vs 18.5-<25</sub>: 9.74; 95% CI: 7.43-12.8; p-trend < 0.001) and ARDI < 90% (PR<sub>BMI:40+ vs 18.5-<25</sub>: 2.69; 95% CI: 2.35-3.09; p-trend < 0.001). This association weakened over time, although remained significant, particularly in the heaviest patients. Charlson Comorbidity Index (CCI) was associated with FCDR (PR<sub>CCI:3+ vs 0</sub>: 1.58; 95% CI: 1.19-2.11; p-trend = 0.009) and ARDI < 90% (p-trend < 0.001), as were individual comorbidities. Understanding dose reductions and their impact will be critical to optimizing care and improving survivorship.

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Publication Details

Journal
npj Breast Cancer
Published
2025-10-29
DOI
https://doi.org/10.1038/s41523-025-00833-9
Primary Topic
Cancer Risks and Factors
Type
article
Field-Weighted Citation Impact
0.00

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article

Understanding the association between body mass index and chemotherapy dose reductions in women treated for stage I-IIIA breast cancer

Elisa V. Bandera, Emily Valice, Jenna Bhimani, Kanichi G. Nakata et al.
npj Breast Cancer
Cancer Risks and Factors
article

Understanding the association between body mass index and chemotherapy dose reductions in women treated for stage I-IIIA breast cancer

Elisa V. Bandera, Emily Valice, Jenna Bhimani, Kanichi G. Nakata, Isaac Joshua Ergas, Tatjana Kolevska, Kelli O’Connell, Raymond Liu, Lawrence H. Kushi, Rachael Burganowski, Sara Tabatabai, Erin J. Aiello Bowles, Sonia Persaud, Yuriy Kotsurovskyy, Grace B Gallagher, Janise M. Roh, Narre Heon, Candyce H. Kroenke, Jennifer J. Griggs, Elizabeth D. Kantor, Victoria Blinder, Cecile A. Laurent, Sankeerth Jinna, Peng Wang
article en

Abstract

Historically, breast cancer patients with obesity have been more likely than normal-weight patients to receive dose-reduced chemotherapy, although contemporary dosing practices of patients with obesity remain unclear. Among 9708 women treated with adjuvant chemotherapy for stage I-IIIA breast cancer at two integrated healthcare delivery systems (2005-2019), we used generalized linear models to estimate adjusted prevalence ratios between body mass index (BMI) and comorbidity and chemotherapy dosing (first cycle dose reduction (FCDR), dose proportion < 90%) and average relative dose intensity (ARDI) < 90%). A strong, independent association was observed between BMI and FCDR (PR<sub>BMI:40+ vs 18.5-<25</sub>: 9.74; 95% CI: 7.43-12.8; p-trend < 0.001) and ARDI < 90% (PR<sub>BMI:40+ vs 18.5-<25</sub>: 2.69; 95% CI: 2.35-3.09; p-trend < 0.001). This association weakened over time, although remained significant, particularly in the heaviest patients. Charlson Comorbidity Index (CCI) was associated with FCDR (PR<sub>CCI:3+ vs 0</sub>: 1.58; 95% CI: 1.19-2.11; p-trend = 0.009) and ARDI < 90% (p-trend < 0.001), as were individual comorbidities. Understanding dose reductions and their impact will be critical to optimizing care and improving survivorship.

npj Breast CancerVol. 11(1)
Rutgers, The State University of New Jersey (US), Memorial Sloan Kettering Cancer Center (US), Kaiser Permanente (US), Kaiser Permanente Washington Health Research Institute (US), University of Michigan (US), Kaiser Permanente Vallejo Medical Center (US), Kaiser Permanente San Francisco Medical Center (US), Rutgers Cancer Institute (US)
Memorial Sloan-Kettering Cancer Center, Geoffrey Beene Cancer Research Center, National Institutes of Health, National Cancer Institute
Openalex Percentile: Top 58%
Cancer Risks and Factors
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