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Competing risks of death in younger and older postmenopausal breast cancer patients

机译:男女绝经后死亡的竞争性死亡风险

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摘要

AIM: To show a new paradigm of simultaneously testing whether breast cancer therapies impact other causes of death.METHODS: MA.14 allocated 667 postmenopausal women to 5 years of tamoxifen 20 mg/daily ± 2 years of octreotide 90 mg, given by depot intramuscular injections monthly. Event-free survival was the primary endpoint of MA.14; at median 7.9 years, the tamoxifen+octreotide and tamoxifen arms had similar event-free survival (P = 0.62). Overall survival was a secondary endpoint, and the two trial arms also had similar overall survival (P = 0.86). We used the median 9.8 years follow-up to examine by intention-to-treat, the multivariate time-to-breast cancer-specific (BrCa) and other cause (OC) mortality with log-normal survival analysis adjusted by treatment and stratification factors. We tested whether baseline factors including Insulin-like growth factor 1 (IGF1), IGF binding protein-3, C-peptide, body mass index, and 25-hydroxy vitamin D were associated with (1) all cause mortality, and if so and (2) cause-specific mortality. We also fit step-wise forward cause-specific adjusted models.RESULTS: The analyses were performed on 329 patients allocated tamoxifen and 329 allocated tamoxifen+octreotide. The median age of MA.14 patients was 60.1 years: 447 (82%) < 70 years and 120 (18%) ≥ 70 years. There were 170 deaths: 106 (62.3%) BrCa; 55 (32.4%) OC, of which 24 were other malignancies, 31 other causes of death; 9 (5.3%) patients with unknown cause of death were excluded from competing risk assessments. BrCa and OC deaths were not significantly different by treatment arm (P = 0.40): tamoxifen patients experienced 50 BrCa and 32 OC deaths, while tamoxifen + octreotide patients experienced 56 BrCa and 23 OC deaths. Proportionately more deaths (P = 0.004) were from BrCa for patients < 70 years, where 70% of deaths were due to BrCa, compared to 54% for those ≥ 70 years of age. The proportion of deaths from OC increased with increasing body mass index (BMI) (P = 0.02). Higher pathologic T and N were associated with more BrCa deaths (P < 0.0001 and 0.002, respectively). The cumulative hazard plot for BrCa and OC mortality indicated the concurrent accrual of both types of death throughout follow-up, that is the existence of competing risks of mortality. MA.14 therapy did not impact mortality (P = 0.77). Three baseline patient and tumor characteristics were differentially associated with cause of death: older patients experienced more OC (P = 0.01) mortality; patients with T1 tumors and hormone receptor positive tumors had less BrCa mortality (respectively, P = 0.01, P = 0.06). Additionally, step-wise cause-specific models indicated that patients with node negative disease experienced less BrCa mortality (P = 0.002); there was weak evidence that, lower C-peptide (P = 0.08) was associated with less BrCa mortality, while higher BMI (P = 0.01) was associated with worse OC mortality.CONCLUSION: We demonstrate here a new paradigm of simultaneous testing of therapeutics directed at multiple diseases for which postmenopausal women are concurrently at risk. Octreotide LAR did not significantly impact breast cancer or other cause mortality, although different baseline factors influenced type of death.
机译:目的:显示一种同时测试乳腺癌治疗是否会影响其他死亡原因的新范例。方法:MA.14将667名绝经后妇女分配给他莫昔芬5年/每天20 mg±2年的奥曲肽90 mg(通过肌肉内注射给予)每月打针。无事件生存是MA.14的主要终点。在中位7.9岁时,他莫昔芬+奥曲肽和他莫昔芬组具有相似的无事件生存期(P = 0.62)。总生存期是次要终点,两个试验组的总生存期也相似(P = 0.86)。我们使用9.8年的中位随访时间,通过意向性治疗,多因素乳腺癌特异性乳腺癌(BrCa)和其他原因(OC)死亡率进行了检查,并通过治疗和分层因素调整了对数正态生存分析。我们测试了包括胰岛素样生长因子1(IGF1),IGF结合蛋白3,C肽,体重指数和25-羟基维生素D在内的基线因素是否与(1)均导致死亡率相关,如果是,并且(2)因病致死。结果:对分配了他莫昔芬的329例患者和分配了他莫昔芬+奥曲肽的329例患者进行了分析。 MA.14患者的中位年龄为60.1岁:447(82%)<70岁,120(18%)≥70岁。有170例死亡:106(62.3%)BrCa; OC(55)(32.4%),其中其他24种为恶性肿瘤,其他31种为死亡原因; 9名(5.3%)死因不明的患者被排除在竞争风险评估之外。治疗组的BrCa和OC死亡无显着差异(P = 0.40):他莫昔芬患者发生50 BrCa和32 OC死亡,而他莫昔芬+奥曲肽患者发生56 BrCa和23 OC死亡。 <70岁的患者死于BrCa的比例更高(P = 0.004),其中70%的死因是BrCa,而70岁以上的患者则为54%。 OC死亡的比例随着体重指数(BMI)的增加而增加(P = 0.02)。较高的病理T和N与更多的BrCa死亡相关(分别为P <0.0001和0.002)。 BrCa和OC死亡率的累积危险图表明,在整个随访过程中,两种死亡均同时发生,即存在相互竞争的死亡风险。 MA.14治疗不影响死亡率(P = 0.77)。三项基线患者和肿瘤特征与死亡原因有不同的相关关系:老年患者的OC死亡率更高(P = 0.01);患有T1肿瘤和激素受体阳性肿瘤的患者BrCa死亡率较低(分别为P = 0.01,P = 0.06)。此外,逐步特定原因模型表明,淋巴结阴性疾病患者的BrCa死亡率较低(P = 0.002);尚无充分证据表明,较低的C肽(P = 0.08)与较低的BrCa死亡率有关,而较高的BMI(P = 0.01)与较差的OC死亡率有关。结论:我们在此证明了同时治疗药物的新范例针对绝经后妇女同时处于危险中的多种疾病。尽管不同的基线因素会影响死亡类型,但奥曲肽LAR并未显着影响乳腺癌或其他原因的死亡率。

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