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马吉方程3和残留癌负荷对激素受体阳性、人表皮生长因子受体2阴性乳腺癌新辅助化疗患者的预后影响

Prognostic Implications of Magee Equation 3 and Residual Cancer Burden in Patients Receiving Neoadjuvant Chemotherapy for Hormone Receptor-Positive HER2-Negative Breast Cancer.

作者信息

Vazquez Thais Perez, Gonçalves Rodrigo, Gomes da Cunha Juliana Pierobon, Silva Rivas Fernando Wladimir, Aguiar Fernando Nalesso, Baracat Edmund Chada, Filassi José Roberto

机构信息

Setor de Mastologia da Disciplina de Ginecologia do Departamento de Obstetrícia e Ginecologia, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.

Disciplina de Ginecologia do Departamento de Obstetrícia e Ginecologia, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.

出版信息

Mod Pathol. 2025 Jun;38(6):100733. doi: 10.1016/j.modpat.2025.100733. Epub 2025 Feb 7.

Abstract

Breast cancer (BC) presents significant molecular heterogeneity, complicating prognosis and treatment strategies. Although molecular testing enhances our understanding of BC, high costs can limit accessibility in certain health care settings. This retrospective cohort study evaluates the prognostic value of Magee equation 3 (ME3) and residual cancer burden (RCB) in patients with hormone receptor-positive, human epidermal growth factor receptor 2-negative BC treated at the Instituto do Câncer do Estado de São Paulo from January 2011 to January 2024. We included 203 women, with a mean age of 50.2 years, diagnosed with hormone receptor-positive, human epidermal growth factor receptor 2-negative BC (stages I-III), who completed neoadjuvant chemotherapy followed by surgery. ME3 scores were categorized as low (<18), intermediate (18-25), and high (>25), whereas RCB was classified into 4 groups (0, 1, 2, or 3). Associations between ME3 and RCB categories were analyzed using χ and Cochran-Mantel-Haenszel tests. Overall survival (OS) and disease-free survival (DFS) were assessed using the Kaplan-Meier method with log-rank tests. Prior to neoadjuvant chemotherapy, 60.1% of patients had tumors >5 cm, 69.5% had positive lymph nodes, and 85.7% had invasive carcinoma of nonspecial type, with a mean Ki67 index of 35.5%. Analysis revealed that 22.2% of patients had ME3 >25, 39.9% had ME3 18-25, and 37.9% had ME3 <18. A significant inverse association was found between RCB and ME3 (P < .0001). At a median follow-up of 91.4 months (range: 8-157 months), significant associations were noted for OS (log-rank P = .0059) and DFS (log-rank P = .0028) with ME3 categories; patients with low ME3 showed better outcomes. In patients with RCB-3, those with ME3 <18 had a lower risk of recurrence compared with those with ME3 18-25 (hazard ratio: 4.70, 95% CI: 2.00-11.02; P = .0004) and ME3 > 25 (hazard ratio: 5.18, 95% CI: 1.85-14.15; P = .0017). Similarly, lower risks of death were observed for ME3 < 18 versus higher ME3 categories. In conclusion, ME3 significantly correlates with OS and DFS, suggesting that it may serve as a valuable alternative to molecular assays in resource-limited settings. Combining ME3 with RCB enhances individualized risk stratification, providing a more precise prognostic assessment for patients with high RCB.

摘要

乳腺癌(BC)存在显著的分子异质性,这使得预后和治疗策略变得复杂。尽管分子检测增进了我们对乳腺癌的了解,但高昂的成本可能会限制某些医疗环境下的可及性。这项回顾性队列研究评估了2011年1月至2024年1月在圣保罗州癌症研究所接受治疗的激素受体阳性、人表皮生长因子受体2阴性乳腺癌患者中,马吉方程3(ME3)和残余癌负担(RCB)的预后价值。我们纳入了203名女性,她们的平均年龄为50.2岁,被诊断为激素受体阳性、人表皮生长因子受体2阴性乳腺癌(I - III期),并完成了新辅助化疗后接受手术。ME3评分分为低(<18)、中(18 - 25)和高(>25),而RCB分为4组(0、1、2或3)。使用χ检验和 Cochr an - Mantel - Haenszel检验分析ME3和RCB类别之间的关联。采用Kaplan - Meier方法和对数秩检验评估总生存期(OS)和无病生存期(DFS)。在新辅助化疗前,60.1%的患者肿瘤>5 cm,69.5%有阳性淋巴结,85.7%为非特殊类型浸润性癌,平均Ki67指数为35.5%。分析显示,22.2%的患者ME3>25,39.9%的患者ME3为18 - 25,37.9%的患者ME3<18。发现RCB与ME3之间存在显著的负相关(P <.0001)。在中位随访91.4个月(范围:8 - 157个月)时,观察到OS(对数秩P =.0059)和DFS(对数秩P =.0028)与ME3类别存在显著关联;ME3低的患者预后更好。在RCB - 3的患者中,ME3<18的患者与ME3为18 - 25的患者相比复发风险更低(风险比:4.70, 95%可信区间:2.00 - 11.02;P =.0004),与ME3>25的患者相比也更低(风险比:5.18, 95%可信区间:1.85 - 14.15;P =.0017)。同样,与ME3较高类别相比,ME3<18的患者死亡风险更低。总之,ME3与OS和DFS显著相关,这表明在资源有限的环境中,它可能是分子检测的一种有价值的替代方法。将ME3与RCB相结合可增强个体化风险分层,为RCB高的患者提供更精确的预后评估。

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