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Impact of Body Mass Index on Pathological Response after Neoadjuvant Chemotherapy: Results from the I-SPY 2 trial.
Wang, Haiyun; Yee, Douglas; Potter, David; Jewett, Patricia; Yau, Christina; Beckwith, Heather; Watson, Allison; O'Grady, Nicholas; Wilson, Amy; Brain, Susie; Pohlmann, Paula; Blaes, Anne.
Afiliação
  • Wang H; Cancer Care Associates.
  • Yee D; University of Minnesota Department of Medicine: University of Minnesota Twin Cities Department of Medicine.
  • Potter D; University of Minnesota Department of Medicine: University of Minnesota Twin Cities Department of Medicine.
  • Jewett P; University of Minnesota Department of Medicine: University of Minnesota Twin Cities Department of Medicine.
  • Yau C; University of California San Francisco.
  • Beckwith H; University of Minnesota Department of Medicine: University of Minnesota Twin Cities Department of Medicine.
  • Watson A; Sanford Health.
  • O'Grady N; University of California San Francisco.
  • Wilson A; Quantumleap.
  • Brain S; University of California San Francisco.
  • Pohlmann P; MD Anderson Nellie B Connally Breast Center: The University of Texas MD Anderson Cancer Center Nellie B Connally Breast Center.
  • Blaes A; University of Minnesota Medical Center.
Res Sq ; 2023 May 31.
Article em En | MEDLINE | ID: mdl-37397981
ABSTRACT

Purpose:

Increased body mass index (BMI) has been associated with poor outcomes in women with breast cancer. We evaluated the association between BMI and pathological complete response (pCR) in the I-SPY 2 trial.

Methods:

978 patientsenrolled in the I-SPY 2 trial 3/2010-11/2016 and had a recorded baseline BMI prior to treatment were included in the analysis. Tumor subtypes were defined by hormone receptor and HER2 status. Pretreatment BMI was categorized as obese (BMI≥30 kg/m2), overweight (25≤BMI < 30 kg/m2), and normal/underweight (< 25 kg/m2). pCR was defined as elimination of detectable invasive cancer in the breast and lymph nodes (ypT0/Tis and ypN0) at the time of surgery. Logistic regression analysis was used to determine associations between BMI and pCR. Event-free survival (EFS) and overall survival (OS) between different BMI categories were examined using Cox proportional hazards regression.

Results:

The median age in the study population was 49 years. pCR rates were 32.8% in normal/underweight, 31.4% in overweight, and 32.5% in obese patients. In univariable analysis, there was no significant difference in pCR with BMI. In multivariable analysis adjusted for race/ethnicity, age, menopausal status, breast cancer subtype, and clinical stage, there was no significant difference in pCR after neoadjuvant chemotherapy for obese compared with normal/underweight patients (OR = 1.1, 95% CI 0.68-1.63, p = 0.83), and for overweight compared with normal/underweight (OR = 1, 95% CI 0.64-1.47, p = 0.88). We tested for potential interaction between BMI and breast cancer subtype; however, the interaction was not significant in the multivariable model (p = 0.09). Multivariate Cox regression showed there was no difference in EFS (p = 0.81) or OS (p = 0.52) between obese, overweight, and normal/underweight breast cancer patients with a median follow-up time of 3.8 years.

Conclusions:

We found no difference in pCR rates by BMI with actual body weight based neoadjuvant chemotherapy in this biologically high-risk breast cancer population in the I-SPY2 trial.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article