PO.PR02.03 · 预防研究
针对种族多样化的良性乳腺疾病女性的乳腺癌风险预测模型
Breast cancer risk prediction model for racially diverse women with benign breast disease
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
目的:现有的乳腺癌风险预测模型对良性乳腺疾病(BBD)女性无效,且未按关键组织学亚型进行风险分层,尤其是在种族和民族多样化的人群中。尽管BBD与乳腺癌共享若干风险因素,但与普通人群相比,BBD女性因良性乳腺组织累积的变化而具有更高的基础风险。风险的大小因形态学亚型而异——无异型性增生性疾病(PDWA)风险轻度升高,而非典型增生(AH)风险最高。我们旨在通过按PDWA和AH亚型进行风险分层,利用当代且种族多样化的女性队列数据,来优化乳腺癌预测模型。
方法:2010年至2023年间,在圣路易斯的Siteman癌症中心识别出8,870名经组织学确诊为良性病变的女性(随访至2025年6月10日)。采用Cox回归进行风险建模,并通过自助重抽样法进行内部验证(即校正过拟合)。用Harrell C指数估计模型区分度。通过5年观察/预期(O/E)比评估模型校准度。根据国家指南,以3%的5年风险阈值估计阳性和阴性预测值(PPV/NPV)以定义风险升高。
结果:在8,870名BBD女性中,良性活检后至少6个月发生了362例后续乳腺癌。11.2%为三阴性肿瘤(ER-PR-HER2-);73.8%为浸润性乳腺癌。该队列64.3%为白人,32.5%为黑人,3.2%为亚裔。活检时女性平均年龄为50岁(SD=13)。平均初潮年龄为13岁(SD=1.8),平均BMI为29.6 kg/m2(SD=7.7)。Harrell C指数在原始样本中为0.68(95% CI:0.65-0.71),在自助样本中为0.67(95% CI:0.65-0.70)。5年时,模型整体校准度为0.99(95% CI:0.86-1.13)。被预测为高风险组(≥3%,5年)的女性包括所有非典型增生者以及半数无异型性增生性疾病者。这些女性中,7.0%发生了乳腺癌;而在平均风险组中,97.5%的女性在良性活检后的5年内未发生乳腺癌。
结论:在良性活检后随访的种族多样化女性队列的内部验证中,我们的模型显示出良好的区分能力。凭借7%的5年PPV,该模型有效地标记出高风险女性(≥3%,5年),为良性活检显示伴或不伴异型性的增生性疾病后的强化监测或预防措施提供了有意义的依据。
查看英文原文 English abstract
Purpose: Existing breast cancer risk prediction models are ineffective for women with benign breast disease (BBD) and do not stratify risk by key histologic subtypes, especially in racially and ethnically diverse populations. Although BBD and breast cancer share several risk factors, women with BBD have a higher underlying risk due to accumulated changes in benign breast tissue compared to the general population. The magnitude of risk varies by morphologic subtype-modestly increased for proliferative disease without atypia (PDWA), and highest for atypical hyperplasia (AH). We aimed to refine a prediction model for breast cancer through risk stratification by PDWA and AH subtypes, using data from a contemporary and racially diverse cohort of women.
Methods: 8,870 women diagnosed with histologically confirmed benign lesions were identified at the Siteman Cancer Center in St. Louis from 2010-2023 (followed until June 10, 2025). Risk modeling was performed with Cox regression and internally validated through a bootstrap resampling method (i.e., corrected for overfitting). Model discrimination was estimated with Harrell's C-index. Model calibration was assessed by the 5-year observed-to-expected (O/E) ratio. Positive and negative predictive values (PPV/NPV) were estimated for a 3% 5-year risk threshold per national guidelines to define increased risk.
Results: Among the 8,870 women with BBD, there were 362 subsequent breast cancers at least 6 months following a benign biopsy. 11.2% were triple negative tumors (ER-PR-HER2-); 73.8% were invasive breast cancers. The cohort is 64.3% White, 32.5% Black, and 3.2% Asian. On average, women were 50 (SD=13) years of age at biopsy. Average age at menarche was 13 (SD=1.8) and average BMI 29.6 kg/m2 (SD=7.7). Harrell's C-index was 0.68 (95% CI: 0.65-0.71) in the original sample and 0.67 (95% CI: 0.65-0.70) in the bootstrap sample. At 5 years, the overall model calibration was 0.99 (95% CI: 0.86-1.13). Women predicted to be in the high-risk group (≥3%, 5y) included those with atypia and half of those with proliferative disease without atypia. Of these women, 7.0% developed breast cancer, and in the average-risk group, 97.5% did not in the 5 years following a benign biopsy.
Conclusion: Our model demonstrates sound discriminatory ability in the internal validation within a racially diverse cohort of women followed after benign biopsy. With a 5-year PPV of 7%, the model effectively flags women at high-risk (≥3%, 5y), providing a meaningful basis for intensified surveillance or preventive measures for early detection after benign biopsy showing proliferative disease with or without atypia.
利益披露 Disclosure
A. Koric, None..
Y. Park, None..
S. Jiang, None..
F. Boulos, None..
D. L. Bennett, None.