Lian Weibin, Li Liangqiang, Chen Debo, Hong Chengye
Department of Breast Surgery, Affiliated Quanzhou First Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China.
BMC Cancer. 2025 Apr 17;25(1):723. doi: 10.1186/s12885-025-14120-0.
Based on SOFT and TEXT trials data, a composite recurrence risk score (CR-score) model was developed for early premenopausal women with hormone receptor -positive (HR+), human epidermal growth factor receptor 2-negative (HER2-) breast cancer using the subgroup treatment effect map (STEPP) method to guide ovarian function suppression (OFS) application. However, the CR-score model has yet to be validate in real-world settings.
Our study included patients diagnosed between January 1, 2013, and December 31, 2021, from 42 breast centers in China. We utilized restricted cubic splines (RCS) to visualize continuous CR-score and hazard ratios for breast cancer recurrence. After adjusting for confounding factors via propensity score matching (PSM), Kaplan-Meier curves were used to compare disease-free survival (DFS) among premenopausal patients between the OFS and non-OFS groups.
The hazard ratio of recurrence consistently increased with higher CR-scores. Notably, 87.68% of patients who received OFS had a CR-score above 1.42. Following PSM, adjuvant OFS significantly improved DFS in the high CR-score group (CR-score above 1.42)(HR 0.571; 95% CI 0.403-0.809; p = 0.001). Among patients younger than 35 years old, those receiving OFS had significantly better DFS compared to those without OFS. After matching for age, grade, ER, PR, and lymph node status, OFS can significantly improve the DFS of those chemotherapy-treated patients with CR-score above 1.42 (p = 0.006). Furthermore, the group with high CR-score but ER expression below 50% did not benefit from OFS.
The CR-score model can effectively guide clinicians in making decisions regarding OFS for premenopausal patients with HR+/HER2- breast cancer.
基于SOFT和TEXT试验数据,采用亚组治疗效应图(STEPP)方法,为激素受体阳性(HR+)、人表皮生长因子受体2阴性(HER2-)的早期绝经前乳腺癌女性患者开发了一种复合复发风险评分(CR评分)模型,以指导卵巢功能抑制(OFS)的应用。然而,CR评分模型尚未在现实环境中得到验证。
我们的研究纳入了2013年1月1日至2021年12月31日期间在中国42个乳腺中心诊断的患者。我们使用受限立方样条(RCS)来可视化连续的CR评分和乳腺癌复发的风险比。通过倾向评分匹配(PSM)调整混杂因素后,使用Kaplan-Meier曲线比较绝经前患者中OFS组和非OFS组的无病生存期(DFS)。
复发风险比随着CR评分的升高而持续增加。值得注意的是,接受OFS的患者中有87.68%的CR评分高于1.42。PSM后,辅助OFS显著改善了高CR评分组(CR评分高于1.42)的DFS(风险比0.571;95%置信区间0.403-0.809;p = 0.001)。在年龄小于35岁的患者中,接受OFS的患者的DFS明显优于未接受OFS的患者。在匹配年龄、分级、雌激素受体(ER)、孕激素受体(PR)和淋巴结状态后,OFS可显著改善CR评分高于1.42的化疗患者的DFS(p = 0.006)。此外,CR评分高但ER表达低于50%的组未从OFS中获益。
CR评分模型可以有效地指导临床医生为HR+/HER2-绝经前乳腺癌患者做出关于OFS的决策。