Ciara Hunt, Matthew G Davey, Ryan Wilson, Juliette Buckley, Bridget Anne Merrigan, Chwanrow Baban, Shona Tormey
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引用次数: 0
Abstract
Background: Preconceptions exist regarding the association between obesity and the propensity to develop estrogen receptor positive (ER+) cancer. There is limited data assessing the impact of body mass index (BMI) on 21-gene recurrence score (RS) results.
Aim: To perform a systematic review and network meta-analysis to assess whether increased BMI is associated with low RS in estrogen receptor positive (ER+) breast cancer.
Methods: A systematic review was performed as per PRISMA guidelines. Descriptive statistics were used as appropriate. Meta-analyses were performed using the Review Manager v5.4 and NMA performed using shiny.
Results: 6 studies with 3523 patients were included. The mean age was 61 years and mean RS was 16.6 and BMI was 25.8. When applying traditional RS cut-offs 66.4% of patients had a RS < 18 (3529 out of 5312), 27.6% had RS 18-30 (1466 out of 5412) and 6.0% had a RS of > 30 (317 out of 5312). At meta-analysis, patients with RS 18-30 (risk ratio (RR): 1.15, 95% confidence interval (CI), 0.91-1.46) and RS > 30 (RR: 1.03 95% CI, 0.79-1.35) were not associated with lower BMI. When applying TAILORx cut-offs, 24.2% of patients had a RS < 11 (996 out of 4124), 63.1% had a RS 11-25 (2604 out of 4124) and 12.7% had a RS > 25 (524 out of 4124). At meta-analysis, patients with RS 11-25 (RR: 1.57, 95% CI, 0.77-3.75) and RS > 25 (RR: 1.58, 95% CI, 0.71-3.77) were also not associated with lower BMI.
Conclusion: This study failed to identify a significant association between BMI and RS group.
期刊介绍:
Clinical Breast Cancer is a peer-reviewed bimonthly journal that publishes original articles describing various aspects of clinical and translational research of breast cancer. Clinical Breast Cancer is devoted to articles on detection, diagnosis, prevention, and treatment of breast cancer. The main emphasis is on recent scientific developments in all areas related to breast cancer. Specific areas of interest include clinical research reports from various therapeutic modalities, cancer genetics, drug sensitivity and resistance, novel imaging, tumor genomics, biomarkers, and chemoprevention strategies.