Mesa-Eguiagaray Ines, Wild Sarah H, Williams Linda J, Jin Kai, Bird Sheila M, Brewster David H, Hall Peter S, Figueroa Jonine D
Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.
School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Breast Cancer Res. 2025 Apr 22;27(1):59. doi: 10.1186/s13058-025-02012-x.
Age and molecular subtypes are important prognostic factors in breast cancer (BC). Here, we explore how age and molecular subtypes influence BC survival in Scotland.
We analysed data from 71,784 women diagnosed with invasive BC in Scotland between 1997 and 2016, with follow-up until 31st December 2018 (median follow-up time = 5.5 years). Cox models estimated Hazard Ratios (HR) for BC-specific death by age group (with women of screening age, 50-69 years old, as the reference) within each molecular subtype, adjusting for prognostic factors. The cumulative incidence function was plotted to account for competing risks.
During the study period, 37% of women died, with 53% of deaths attributed to BC. Women aged 70 + years had increased BC-specific death compared to women aged 50 to 69 years with the same subtype. HRs (95% CI) were 1.49 (1.23-1.80) for luminal A, 1.39 (1.14 to 1.69) for luminal B tumours and 1.49 (1.15 to 1.94) for triple negative breast cancer (TNBC). Women aged < 50 years had lower risk of BC death in luminal A subtype only, with HR of 0.66 (0.51-0.86) compared to women aged 50 to 69 years. Competing risks analysis showed higher cumulative incidence of death from non-BC causes, particularly for women aged 70 + years with hormone positive subtypes. Stage, treatment, and molecular subtype were the strongest prognostic factors for BC-specific mortality across all ages.
Age influences BC-specific mortality particularly within luminal subtypes. In contrast, other tumour characteristics and treatment are key prognostic factors for non-luminal subtypes. Future studies should investigate other markers of BC mortality particularly among over 70-year-olds, who account for 60% of BC deaths in the UK.
年龄和分子亚型是乳腺癌(BC)重要的预后因素。在此,我们探讨年龄和分子亚型如何影响苏格兰乳腺癌患者的生存情况。
我们分析了1997年至2016年间在苏格兰诊断为浸润性乳腺癌的71784名女性的数据,随访至2018年12月31日(中位随访时间 = 5.5年)。Cox模型估计了各分子亚型内按年龄组划分的乳腺癌特异性死亡风险比(HR)(以筛查年龄50 - 69岁的女性为参照),并对预后因素进行了调整。绘制累积发病率函数以考虑竞争风险。
在研究期间,37%的女性死亡,其中53%的死亡归因于乳腺癌。与相同亚型的50至69岁女性相比,70岁及以上女性的乳腺癌特异性死亡风险增加。管腔A型的HR(95%置信区间)为1.49(1.23 - 1.80),管腔B型肿瘤为1.39(1.14至1.69),三阴性乳腺癌(TNBC)为1.49(1.15至1.94)。仅在管腔A型中,年龄小于50岁的女性乳腺癌死亡风险较低,与50至69岁女性相比,HR为0.66(0.51 - 0.86)。竞争风险分析显示,非乳腺癌原因导致的累积死亡发生率较高,尤其是70岁及以上激素阳性亚型的女性。分期、治疗和分子亚型是所有年龄段乳腺癌特异性死亡率最强的预后因素。
年龄尤其影响管腔亚型内的乳腺癌特异性死亡率。相比之下,其他肿瘤特征和治疗是非管腔亚型的关键预后因素。未来的研究应调查乳腺癌死亡率的其他标志物,特别是在占英国乳腺癌死亡人数60%的70岁以上人群中。