Evaluating the Association between Body Mass Indices and the 21-Gene Recurrence Score: A Systematic Review and Network Meta-Analysis

  • Ciara Hunt
  • , Matthew G. Davey
  • , Ryan Wilson
  • , Juliette Buckley
  • , Bridget Anne Merrigan
  • , Chwanrow Baban
  • , Shona Tormey

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish
Pages (from-to)e779-e786.e2
JournalClinical Breast Cancer
Volume25
Issue number6
DOIs
Publication statusPublished - Aug 2025
Externally publishedYes

Keywords

  • Breast Cancer
  • Genomics, multigene expression assays
  • personalized medicine
  • Prec

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