4.5 Article

Impact of post-diagnosis weight change on survival outcomes in Black and White breast cancer patients

Journal

BREAST CANCER RESEARCH
Volume 23, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s13058-021-01397-9

Keywords

Body mass index; Weight change; Breast cancer; Prognosis; Racial disparities

Categories

Funding

  1. National Cancer Institute [P20 CA233307]
  2. Breast Cancer Research Foundation

Ask authors/readers for more resources

This study evaluated weight change patterns and survival outcomes in Black and White breast cancer patients. The results showed that BMI loss is a strong predictor of worse breast cancer outcomes, while BMI gain is also associated with poorer survival, although to a lesser extent. The study emphasizes the importance of monitoring weight changes post-diagnosis for improved survival in breast cancer patients.
Purpose To evaluate weight change patterns over time following the diagnosis of breast cancer and to examine the association of post-diagnosis weight change and survival outcomes in Black and White patients. Methods The study included 2888 women diagnosed with non-metastatic breast cancer in 2000-2017 in Chicago. Longitudinal repeated measures of weight and height were collected, along with a questionnaire survey including questions on body size. Multilevel mixed-effects models were used to examine changes in body mass index (BMI). Delayed entry Cox proportional hazards models were used to investigate the impacts of changing slope of BMI on survival outcomes. Results At diagnosis, most patients were overweight or obese with a mean BMI of 27.5 kg/m(2) and 31.5 kg/m(2) for Blacks and Whites, respectively. Notably, about 45% of the patients had cachexia before death and substantial weight loss started about 30 months before death. In multivariable-adjusted analyses, compared to stable weight, BMI loss (> 0.5 kg/m(2)/year) showed greater than 2-fold increased risk in overall survival (hazard ratio [HR] = 2.60, 95% CI 1.88-3.59), breast cancer-specific survival (HR = 3.05, 95% CI 1.91-4.86), and disease-free survival (HR = 2.12, 95% CI 1.52-2.96). The associations were not modified by race, age at diagnosis, and pre-diagnostic weight. BMI gain (> 0.5 kg/m(2)/year) was also related to worse survival, but the effect was weak (HR = 1.60, 95% CI 1.10-2.33 for overall survival). Conclusion BMI loss is a strong predictor of worse breast cancer outcomes. Growing prevalence of obesity may hide diagnosis of cancer cachexia, which can occur in a large proportion of breast cancer patients long before death.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available