Adjusted Breast Cancer Index model identifies minimal-risk groups in premenopausal HR+ node-negative breast cancer
This secondary analysis of the SOFT and TEXT randomized trials examined the prognostic ability of an adjusted Breast Cancer Index (BCI) model with an additional cutpoint in 2025 premenopausal patients with hormone-receptor-positive, node-negative breast cancer receiving adjuvant endocrine therapy. The study population included patients from both trials, with 35.6% in SOFT and 40.4% in TEXT receiving adjuvant chemotherapy.
The adjusted BCI model reclassified 17.8% of node-negative patients in SOFT and 19.6% in TEXT into minimal-risk groups. In these minimal-risk groups, the estimated 10-year distant recurrence was 2.3% (95% CI 0.9-6.0%) in SOFT and 2.0% (95% CI 0.7-6.2%) in TEXT. The revised low-risk groups had 10-year distant recurrence estimates of 4.1% (95% CI 2.6-6.5%) in SOFT and 4.6% (95% CI 2.8-7.7%) in TEXT.
Safety and tolerability data were not reported. The analysis has limitations including its retrospective nature, lack of absolute event numbers, and uncertainty about generalizability beyond the trial populations. The findings demonstrate prognostic ability rather than causal effects, with recurrence estimates derived from Kaplan-Meier methods. This research provides preliminary evidence that adjusted BCI models might help identify patients at minimal recurrence risk, potentially informing personalized adjuvant endocrine therapy approaches.