PO.CL11.01 · 临床研究

年轻发病乳腺癌患者早期局部区域复发的风险因素:来自单一机构前瞻性数据集的发现

Risk factors for early locoregional recurrence among young-onset breast cancer patients: Findings from a single institutional prospective dataset

编号 5223 展板 14 时间 4/21 09:00–12:00 区域 Section 41 主讲 Kristen Brantley, BS;MPH;PhD
分会场 Biological and Clinical Consequences of Cancer Therapy
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作者与单位 Authors & Affiliations

Kristen D. Brantley1, Tonia Parker2, Julie Vincuilla3, Alyssa R. Martin1, Elizabeth A. Mittendorf3, Catherine Stever1, Craig Snow1, Rebecca A. Ottesen1, Sara M. Tolaney1, Tari A. King4, Nancy U. Lin1, Ann H. Partridge1

1Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA,2Breast Oncology Program, Dana-Farber Cancer Institute, Boston, MA,3Division of Breast Surgery, Brigham and Women's Hospital, Boston, MA,4Division of Breast Surgery, Emory University School of Medicine, Atlanta, GA

摘要 Abstract

中文摘要
引言:虽然年轻时诊断为乳腺癌的女性在长期生存过程中仍存在局部区域复发的风险,但风险的预测因素尚不明确。 方法:从一个前瞻性维护的数据库中识别出年龄≤40岁、在2016年1月至2023年4月期间接受手术的乳腺癌女性(N=1,088),并收集了详细的临床病理和治疗信息。主要结局为局部区域复发(原发乳腺癌诊断后≥6个月)且无同时性远处转移。通过Fine和Gray亚分布模型评估患者特征、原发肿瘤和治疗变量与结局之间的单变量关联,并将远处转移和死亡作为竞争风险。使用R中的crr step依据AIC进行变量的后向选择,以构建预测局部区域复发风险的多变量模型。在未接受乳房切除术的个体中完成了敏感性分析。 结果:共纳入1,053例年龄≤40岁、在最初6个月内未发生竞争风险的女性。首次乳腺癌诊断时的平均年龄为35.3岁(SD=4.2)。大多数患者诊断为1期或2期疾病(77%),且为HR+/HER2-肿瘤(51%)[HR+/HER2+(18%)、HR-/HER2-(16%)、HR-/HER2+(10%)、HER2未知(5%)]。在中位3.6年(IQR=3.3-3.8)的随访期间,34例女性发生了无同时性转移的局部或区域复发。在单变量模型中,较高的局部区域复发风险与原位癌(相比浸润性癌,p=0.05)、较小的肿瘤大小(p=0.005)、肿块切除术(相比乳房切除术,p<0.001)、HR+患者未接受内分泌治疗(ET)(相比接受ET的HR+,p=0.009),以及未接受辅助化疗(p=0.004)相关。多变量模型在分级和分期无缺失的个体中进行检验(N=1037,事件数=34)。所选变量包括分期(3期相比1期:aSHR=3.41,p=0.04)、HR和ET联合(HR+未接受ET相比HR+接受ET:aSHR=3.60,p=0.007),以及手术和放疗联合(仅乳房切除术相比肿块切除术+放疗:aSHR=0.22,p=0.003;乳房切除术+放疗相比肿块切除术+放疗:aSHR=0.08,p<0.001)。其他变量(年龄、种族、BMI、已知胚系突变、肿瘤分级、HER2状态和辅助化疗)未被选入。当限于未接受乳房切除术的个体时(N=405,事件数=26),接受ET成为局部区域复发的关键预测因素(HR+未接受ET相比HR+接受ET:aSHR=3.09,p=0.02)。 结论:在一个现代年轻乳腺癌患者队列中,HR+疾病患者接受ET成为预测早期局部区域复发风险的最重要因素。这凸显了为患HR+疾病的年轻乳腺癌患者推荐ET的重要性,同时应设法提高年轻乳腺癌患者对ET的耐受性以促进依从性。
查看英文原文 English abstract
Introduction: While women diagnosed with breast cancer at young ages remain at risk of locoregional recurrence in long-term survivorship, predictors of risk remain unclear. Methods: Women ≤40 years of age diagnosed with breast cancer for which they underwent surgery between January 2016 and April 2023 (N=1,088) were identified from a prospectively maintained database with detailed clinicopathologic and treatment information collected. The primary outcome was locoregional recurrence (≥6 months after primary BC diagnosis) without concurrent distant metastasis. Univariable associations between patient characteristics, primary tumor and treatment variables, and outcome were assessed via Fine and Gray subdistribution models, considering distant metastasis and death as competing risks. Backward selection of variables by AIC was performed using crr step in R to build a multivariable model predicting risk of locoregional recurrence. A sensitivity analysis was completed among individuals who did not have a mastectomy. Results: A total of 1,053 women ≤40 years of age who did not experience a competing risk within the first 6 months were included. Mean age at first BC diagnosis was 35.3 (SD=4.2) years. Most patients were diagnosed with Stage 1 or 2 disease (77%) and had (HR)+/HER2- tumors (51%) [HR+/HER2+ (18%), HR-/HER2- (16%), HR-/HER2+ (10%), unknown HER2 (5%)]. Over a median of 3.6 (IQR=3.3-3.8) years of follow up, 34 women had a local or regional recurrence without concurrent metastasis. In univariable models, higher hazard of locoregional recurrence was associated with in situ disease (vs. invasive, p=0.05), smaller tumor size (p=0.005), lumpectomy (vs. mastectomy, p<0.001), non-receipt of endocrine therapy (ET) if HR+ (vs. HR+ w/ ET, p=0.009), and non-receipt of adjuvant chemotherapy (p=0.004). The multivariable model was tested among individuals with non-missing grade and stage (N=1037, events=34). Variables selected included stage (stage 3 vs. stage 1: aSHR=3.41, p=0.04), HR and ET combined (HR+ w/o ET vs. HR+ w/ET: aSHR=3.60, p=0.007), and surgery and RT combined (mastectomy only vs. lumpectomy+RT: aSHR=0.22, p=0.003; mastectomy+RT vs. lumpectomy+RT: aSHR=0.08, p<0.001). Other variables (age, race, BMI, known germline mutations, tumor grade, HER2 status, and adjuvant chemotherapy) were not selected. When restricted to individuals without mastectomy (N=405, events=26), receipt of ET emerged as the key predictor of locoregional recurrence (HR+ w/o ET vs. HR+ w/ET: aSHR=3.09, p=0.02). Conclusion: In a modern cohort of young BC patients, receipt of ET for HR+ disease emerged as the most important factor in predicting hazard of early locoregional recurrences. This highlights the importance of recommending ET for young BC patients with HR+ disease, while finding ways to increase tolerability of ET for young BC patients to encourage adherence.
利益披露 Disclosure
K. D. Brantley, None.. T. Parker, None.. J. Vincuilla, None.. A. R. Martin, None. E. A. Mittendorf, AstraZeneca Other, Scientific advisory board. BioNTech Other, Scientific advisory board. Merck Travel, Other, Scientific advisory board Speaker honoraria. Moderna Other, Scientific advisory board. Sharp & Dohme Travel, Other, Speaker honoraria. Bristol Myers Squibb Other, Steering committee (uncompensated). Roche/Genentech ), Other, Steering committee (uncompensated). Gilead ). Susan Komen for the Cure ), Other, Scientific advisor. C. Stever, None.. C. Snow, None.. R. A. Ottesen, None. S. M. Tolaney, Novartis ), Other, Consulting/advisory role. Pfizer ), Travel, Other, Consulting/advisory role. Merck ), Other, Consulting/advisory role. Eli Lilly ), Travel, Other, Consulting/advisory role. Astrazeneca ), Other, Consulting/advisory role. Genentech/Roche ), Travel, Other, Consulting/advisory role. Olema Pharmaceuticals ), Travel. Daiichi Sankyo ), Other, Consulting/advisory role. Gilead ), Travel, Other, Consulting/advisory role. Menarini/Stemline ), Other, Consulting/advisory role. Jazz Pharmaceuticals ), Travel, Other, Consulting/advisory role. NanoString Technologies ). OncoPep ). SeaGen ). Exelixis ). Artios Pharma Other, consulting/advisory role. Arvinas Travel. T. A. King, None. N. U. Lin, Genentech ). Olema Pharmaceuticals ), Travel, Other, Consulting honoraria. AstraZeneca ), Travel, Other, Consulting honoraria. Daiichi-Sankyo Travel, Other, Consulting honoraria. Pfizer ). Merck ). Seattle Genetics ), Other, Consulting honoraria. Zion Pharmaceuticals ). Janssen Other, Consulting honoraria. Blueprint Medicines Other, Consulting honoraria. Stemline/Menarini Other, Consulting honoraria. Artera Inc Other, Consulting honoraria. Eisai Other, Consulting honoraria. Shorla Oncology Other, Consulting honoraria. A. H. Partridge, Wolters Klawer Other, Royalties for Up to date authorship.

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