Skip to main navigation Skip to search Skip to main content

MammaPrint predicts chemotherapy benefit in HR+HER2- early breast cancer: FLEX Registry real-world data

  • Adam M Brufsky
  • , Kent F Hoskins
  • , Henry J Conter
  • , Pond Kelemen
  • , Mehran Habibi
  • , Laila Samian
  • , Rakshanda L Rahman
  • , Laura Lee
  • , Eduardo C Dias
  • , Regina Hampton
  • , Beth A Sieling
  • , Cynthia R Osborne
  • , Eric Brown
  • , Jailan A Elayoubi
  • , Priyanka Sharma
  • , Jayanthi Ramadurai
  • , Laurie Matt-Amaral
  • , Alfredo A Santillan
  • , Sasha Davis
  • , Philip Albaneze
  • Harshini Ramaswamy, Nicole Chmielewski-Stivers, Andrea Menicucci, William Audeh, Pat Whitworth, Nathalie Johnson, Joyce O'Shaughnessy

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: Gene expression assays help personalize adjuvant chemotherapy decisions for hormone receptor-positive, HER2-negative (HR+HER2-) early breast cancer (EBC). The 70-gene risk of distant-recurrence signature, MammaPrint, demonstrated clinical utility in guiding chemotherapy de-escalation in genomically low risk patients in the MINDACT trial. This study evaluates MammaPrint as a continuous predictor of chemotherapy benefit in HR+HER2- EBC using real-world data (RWD) from the FLEX Registry.

METHODS: The study evaluated 1002 patients treated with endocrine therapy (ET) only or ET with chemotherapy (ET+CT) enrolled in FLEX (NCT03053193) with 5-year median follow-up. Propensity-score matching balanced treatment groups by menopausal status, T-stage, and nodal status. The primary endpoint was distant recurrence-free interval (DRFI). Regression and Cox proportional hazards models assessed chemotherapy benefit across MammaPrint Index (MPI) risk.

RESULTS: Most patients were postmenopausal (70.1%), node-negative (70.0%), and had grade 2 tumors (51.2%). The regression models showed that MPI strongly predicted 5-year DRFI in ET only (R2 = 0.99, P < .001) and ET + CT (R2 = 0.90, P < .001) groups, corresponding to an average absolute chemotherapy benefit of 5.6% in High 1 and 10.9% in High 2. Minimal improvement in DRFI with chemotherapy was observed for Low (1.7%) and UltraLow (<1.0%) risk groups. A multivariate Cox model with an MPI-by-treatment interaction term demonstrated that increasing MPI risk was associated with greater chemotherapy benefit on DRFI (HR = 0.15, P = .047). Chemotherapy benefit was significantly associated with premenopausal status, but not age, T-stage, nodal status, or grade.

CONCLUSIONS: These RWD from the FLEX Registry demonstrate that MPI is predictive of both DRFI prognosis and chemotherapy benefit in HR+HER2- EBC. (NCT03053193).

Original languageEnglish
JournalJNCI cancer spectrum
Volume9
Issue number5
DOIs
StatePublished - Sep 1 2025
Externally publishedYes

Keywords

  • Adult
  • Aged
  • Female
  • Humans
  • Middle Aged
  • Antineoplastic Agents, Hormonal/therapeutic use
  • Biomarkers, Tumor/genetics
  • Breast Neoplasms/drug therapy
  • Chemotherapy, Adjuvant
  • Neoplasm Recurrence, Local/genetics
  • Postmenopause
  • Propensity Score
  • Proportional Hazards Models
  • Receptor, ErbB-2/analysis
  • Receptors, Estrogen/metabolism
  • Receptors, Progesterone/metabolism
  • Registries

Cite this