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首页> 外文期刊>British Journal of Cancer >Time-varying prognostic impact of tumour biological factors urokinase (uPA), PAI-1 and steroid hormone receptor status in primary breast cancer
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Time-varying prognostic impact of tumour biological factors urokinase (uPA), PAI-1 and steroid hormone receptor status in primary breast cancer

机译:肿瘤生物学因子尿激酶(uPA),PAI-1和类固醇激素受体状态在原发性乳腺癌中随时间变化的预后影响

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In breast cancer, several investigations have demonstrated that the tumour biological factors uPA urokinase-type plasminogen activator) and its inhibitor PAI-1 are statistically independent, strong prognostic factors for disease-free (DFS) and overall survival (OS). However, statistical analyses performed for varying follow-up periods suggested a time variation of prognostic strength. We therefore investigated the time-dependent prognostic power of uPA, PAI-1 and steroid hormone receptor status applying the time-varying coefficient model of Gray. uPA and PAI-1 were analysed by enzyme-linked immunosorbent assay in tumour tissue extracts from 314 breast cancer patients. Hormone receptors (oestrogen and progesterone) were determined by radioligand binding or by immunohistochemistry. Univariate and multivariate analyses (Cox proportional hazards model) of DFS and OS were performed for all patients, including 147 node-negative patients. Median follow-up of patients still alive at time of analysis (n = 232) was 58 months. Although initially of high prognostic impact, a continuous decrease over time in the prognostic power of hormone receptor status and uPA was observed. In contrast, the prognostic impact of PAI-1 increased over time and reached similar strength as the lymph node status. The time-dependent risk profile of prognostic factors may have important clinical implications in regard to follow-up and patients' individual risk situation. Evaluation of time dependency of prognostic factors may also give a more profound insight into the dynamics of breast cancer metastasis.
机译:在乳腺癌中,多项研究表明,肿瘤生物学因子uPA尿激酶型纤溶酶原激活剂及其抑制剂PAI-1是无病(DFS)和总体生存率(OS)的统计学独立,强预后因子。但是,对不同随访期进行的统计分析表明,预后强度随时间变化。因此,我们使用格雷的时变系数模型研究了uPA,PAI-1和类固醇激素受体状态随时间变化的预后能力。通过酶联免疫吸附法对314例乳腺癌患者的肿瘤组织提取物中的uPA和PAI-1进行了分析。通过放射配体结合或通过免疫组织化学测定激素受体(雌激素和孕激素)。对包括147例淋巴结阴性患者在内的所有患者进行了DFS和OS的单因素和多因素分析(Cox比例风险模型)。分析时仍活着的患者(n = 232)的中位随访期为58个月。尽管最初具有较高的预后影响,但观察到激素受体状态和uPA的预后能力随时间持续下降。相反,PAI-1的预后影响随时间增加,并达到与淋巴结状态相似的强度。预后因素的时间依赖性风险概况可能对随访和患者的个人风险状况具有重要的临床意义。对预后因素的时间依赖性的评估还可以对乳腺癌转移的动力学提供更深刻的见解。

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