# Examining a Genomic Test in Predicting Extended Endocrine Benefit and Recurrence Risk in a Diverse Breast Cancer Population

**Authors:** Ho Hyun Lee, Nicholas Siu-Li, Ian Pagano, Jami Aya Fukui

PMC · DOI: 10.3390/curroncol32100537 · Current Oncology · 2025-09-25

## TL;DR

A genomic test for breast cancer recurrence risk shows similar results across different racial and ethnic groups, but Asian/Pacific Islander patients are less likely to be classified as high risk.

## Contribution

This study explores racial and ethnic differences in a genomic test's results for breast cancer recurrence and endocrine therapy benefit.

## Key findings

- Japanese and other Asian/Pacific Islander patients had lower odds of being classified as high recurrence risk compared to Caucasians.
- No major racial or ethnic differences were found in predicting benefit from extended hormone therapy.
- The test's applicability across diverse populations is supported, but further research is needed.

## Abstract

The Breast Cancer Index is a molecular test that helps providers decide if patients should continue hormone therapy after the standard first five years to reduce cancer recurrence. However, little is known about how race and ethnicity may influence the results of this test. In this study, we analyzed the Breast Cancer Index scores from 159 women with early-stage hormone receptor-positive breast cancer to assess racial and ethnic differences. Japanese and other Asian/Pacific Islander patients were less likely to be classified as high risk for recurrence compared with Caucasian patients. There were no major racial or ethnic differences in predicting who would benefit from extended hormone therapy, supporting the test’s applicability across diverse racial and ethnic populations. These findings suggest potential variations in tumor biology or other contributing factors, underscoring the need for further research.

(1) Background: Extended endocrine therapy (EET) beyond five years can reduce distant recurrence in early-stage hormone receptor-positive (HR+) breast cancer. The Breast Cancer Index (BCI) predicts recurrence risk and EET benefits, yet racial/ethnic differences in its results remain unexplored. This study evaluates such differences in a diverse early-stage HR+ breast cancer population. (2) Methods: We retrospectively analyzed demographics, tumor characteristics and BCI scores of 159 women in Hawaii with early-stage HR+ breast cancer, self-identifying as Caucasian, Filipino, Japanese, Native Hawaiian, Other Asian/Pacific Islander, or Other. Tumor characteristics included size, grade, histology, lymph node/receptor status, Oncotype DX score, and laterality. Logistic regression used demographics and tumor features as predictor variables, with BCI’s benefit prediction and recurrence risk as outcome variables. (3) Results: Japanese and other Asian/Pacific Islander patients had significantly lower odds of high recurrence risk compared to Caucasian patients. Higher recurrence risk was associated with greater odds of predicted EET. Racial/ethnic differences in EET benefit prediction were not statistically significant. (4) Conclusions: No racial/ethnic differences in EET benefit prediction suggest BCI’s applicability in racially and ethnically diverse populations. Findings among Japanese and other Asian/Pacific Islanders point to potential biological or socioeconomic variation. Limitations include sample size and underrepresentation of certain groups. Future studies should address these gaps and adjust for known risk factors to further clarify BCI’s racial and ethnic implications.

## Linked entities

- **Diseases:** breast cancer (MONDO:0004989)

## Full-text entities

- **Genes:** NR4A1 (nuclear receptor subfamily 4 group A member 1) [NCBI Gene 3164] {aka GFRP1, HMR, N10, NAK-1, NGFIB, NP10}
- **Diseases:** Breast Cancer (MESH:D001943), Tumor (MESH:D009369)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12563413/full.md

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12563413/full.md

## References

26 references — full list in the complete paper: https://tomesphere.com/paper/PMC12563413/full.md

---
Source: https://tomesphere.com/paper/PMC12563413