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优化免疫组化结合图像分析:定量 ELISA 法检测 uPA 和 PAI-1 用于乳腺癌常规风险分组的可靠替代方法。

Optimized immunohistochemistry in combination with image analysis: a reliable alternative to quantitative ELISA determination of uPA and PAI-1 for routine risk group discrimination in breast cancer.

机构信息

Clinical and Experimental Pathology, Research Center Borstel, Parkallee 3a, 23845 Borstel, Germany.

出版信息

Breast. 2013 Oct;22(5):736-43. doi: 10.1016/j.breast.2012.12.011. Epub 2013 Jan 16.

Abstract

The determination of the invasion markers urokinase-type plasminogen activator (uPA) and plasminogen activator inhibitor-1 (PAI-1) has further improved the possibilities for individualized therapy of breast cancer. To date, quantitative measurement by ELISA, that needs large amounts of fresh, frozen material, is the only standardized procedure for diagnostic purposes. Therefore, the aim of this study was the establishment of a reliable alternative method based on immunohistochemistry (IHC) and image analysis requiring only small amounts of fixed tumor tissue. Protein expression of uPA and PAI-1 was analyzed in HOPE-fixed tumor samples using tissue microarrays (TMAs) and semiquantitative image analysis. The results of both methods were significantly correlated and risk assessment showed an overall concordance of 78% (83/107; high- and low-risk) and of 94% (74/79) regarding only high-risk patients. The data demonstrate that optimized IHC in combination with image analysis can provide adequate clinical significance compared to ELISA-derived determination of uPA and PAI-1.

摘要

尿激酶型纤溶酶原激活物 (uPA) 和纤溶酶原激活物抑制剂-1 (PAI-1) 的测定进一步提高了乳腺癌个体化治疗的可能性。迄今为止,ELISA 的定量测量需要大量新鲜、冷冻的材料,这是唯一用于诊断目的的标准化程序。因此,本研究的目的是建立一种基于免疫组织化学 (IHC) 和图像分析的可靠替代方法,该方法仅需要少量固定的肿瘤组织。使用组织微阵列 (TMA) 和半定量图像分析分析 HOPE 固定的肿瘤样本中 uPA 和 PAI-1 的蛋白表达。两种方法的结果均显著相关,风险评估显示整体一致性为 78%(107 例中的 83 例;高风险和低风险),仅高风险患者的一致性为 94%(74 例中的 74 例)。数据表明,与 ELISA 测定的 uPA 和 PAI-1 相比,优化的 IHC 结合图像分析可以提供足够的临床意义。

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