Assessment of ovarian function suppression (OFS)-containing adjuvant endocrine therapy in premenopausal women by Breast Cancer Index.

R Ruth O'Regan (University of Rochester, Rochester, NY) Y Yue Ren Y Yi Zhang N Natalia Siuliukina (Biotheranostics, Inc., San Diego, CA) C Catherine A. Schnabel (Biotheranostics, San Diego, CA) R Roswitha Kammler (ETOP IBCSG, Bern, Switzerland) G Giuseppe Viale P Patrizia Dell'Orto (Istituto Europeo Oncologico, Milano, Italy) O Olivia Pagani (Geneva University Hospitals, Geneva, Switzerland) B Barbara Walley (University of Calgary, Calgary, AB, Canada) G Gini F. Fleming (University of Chicago Medicine, Chicago, IL) P Prudence A. Francis (Peter MacCallum Cancer Centre, Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia) S Sherene Loi M Marco Colleoni K Kai Treuner (Biotheranostics, Inc., San Diego, CA) M Meredith M. Regan (Dana-Farber Cancer Institute and IBCSG Statistical Center, Boston, MA)

Abstract

557 Background: Breast Cancer Index (BCI) previously identified that premenopausal patients with HOXB13/IL17BR ratio (H/I)-Low tumors derived greater benefit than BCI(H/I)-High tumors from OFS-containing adjuvant endocrine therapy vs tamoxifen alone in the Suppression of Ovarian Function Trial (SOFT). This translational study of the Tamoxifen and Exemestane Trial (TEXT) was conducted to assess the predictive benefit of BCI (H/I) from exemestane (E) plus OFS over tamoxifen (T) plus OFS and validate the prognostic performance of BCI. Methods: Blinded BCI testing was performed in all available tumor samples from patients enrolled in TEXT, of which 1782 of 2660 had BCI successfully assessed and BCI categories assigned per established clinical cutpoints. Primary endpoints were breast cancer–free interval (BCFI) for predictive and distant recurrence–free interval (DRFI) for prognostic analyses. Per pre-specified SAP, a secondary analysis of predictive benefit combined the two OFS arms common to TEXT and SOFT (2896 of 4690 patients); clinicopathologic subgroup analyses were conducted in the combined TEXT+SOFT cohort. Cox proportional hazards models, stratified by chemotherapy use and nodal status, that included treatment assignment, BCI(H/I) status, and interaction term were used to assess BCI predictive performance by testing for treatment-by-BCI(H/I) interaction. The median follow-up was 13 years. Results: Among TEXT patients, 58% had BCI(H/I)-Low tumors.Patients with BCI (H/I)-Low tumors exhibited a 6.6% absolute benefit in 12-year BCFI (HR=0.61 [95% CI, 0.44-0.85]) for E+OFS versus T+OFS while those with BCI(H/I)-High tumors had an 6.3% absolute benefit (HR=0.78 [95% CI, 0.57-1.07]) (P-interaction = 0.29). Results were consistent in the combined TEXT+SOFT cohort and adjusting for clinicopathological variables. Clinical subgroup analyses consistently showed benefit of E+OFS vs T+OFS for BCI(H/I)-Low tumors, and more variable relative treatment effects among BCI(H/I)-High tumors, including by age. Post-hoc exploratory time-varying estimates suggested the treatment-by-BCI relationships may differ in years 0-5 vs >5 years. BCI and BCIN+ as continuous indices were prognostic for distant recurrence in N0 (P = 0.0004) and N1 (P < 0.0001) cancers. The 12-year DRFI was 96.3%, 90.3% and 84.9% for BCI-low, intermediate and high-risk N0 cancers, respectively. Conclusions: BCI was confirmed as prognostic in premenopausal women with HR+ early breast cancer enrolled in TEXT. BCI(H/I) status did not clearly predict differential benefit from E+OFS vs T+OFS. The TEXT results complement the prior results from SOFT, indicating premenopausal patients with BCI(H/I)-Low tumors benefit from more intensive endocrine therapy .

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 557-557
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (16)

R

Ruth O'Regan

University of Rochester, Rochester, NY

Y

Yue Ren

Y

Yi Zhang

N

Natalia Siuliukina

Biotheranostics, Inc., San Diego, CA

C

Catherine A. Schnabel

Biotheranostics, San Diego, CA

R

Roswitha Kammler

ETOP IBCSG, Bern, Switzerland

G

Giuseppe Viale

P

Patrizia Dell'Orto

Istituto Europeo Oncologico, Milano, Italy

O

Olivia Pagani

Geneva University Hospitals, Geneva, Switzerland

B

Barbara Walley

University of Calgary, Calgary, AB, Canada

G

Gini F. Fleming

University of Chicago Medicine, Chicago, IL

P

Prudence A. Francis

Peter MacCallum Cancer Centre, Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia

S

Sherene Loi

M

Marco Colleoni

K

Kai Treuner

Biotheranostics, Inc., San Diego, CA

M

Meredith M. Regan

Dana-Farber Cancer Institute and IBCSG Statistical Center, Boston, MA