Wu Huiyun, Muscato Nicole E, Gonzalez Adriana, Shyr Yu
Department of Biostatistics.
Biomark Insights. 2007 Dec 11;2:469-76.
Identification of correlation pattern and signal pathway among biomarkers in patients has become increasingly interesting for its potential values in diagnosis, treatment and prognosis. EGFR and p-AKT signaling in osteosarcoma (OS) patients were analyzed for its relationship with cancer cell proliferation maker, Ki-67, using causal procedures and statistical tests. A total of 69 patients were collected who present to Vanderbilt University Medical Center with newly diagnosed, previously untreated osteosarcomas during the clinical study period 1994 through 2003. Tissue microarrays were constructed for EGFR, p-AKT and Ki-67. The mediation model was constructed with structural equation model (SEM) for the causal analysis of the three biomarkers in osteosarcoma patients. The results suggested a mediating effect of p-AKT for the causal relationship between EGFR and Ki-67. The study also found significant associations between EGFR and Ki-67 (p = 0.002), EGFR and p-AKT (p = 0.027), and p-AKT and Ki-67 controlling EGFR (p = 0.004). After the impact of EGFR on Ki-67 was accounted for by p-AKT, the relation between EGFR and Ki-67 was no longer significant (p = 0.381). The mediating effect was confirmed with Sobel test (p < 0.001) and Goodman (I) test (p < 0.001). The study indicated that a mediation model could be an approach to exploring the correlation pattern of EGFR and AKT signal pathway for cancer cell proliferation in OS patients in clinical study.
识别患者生物标志物之间的关联模式和信号通路,因其在诊断、治疗和预后方面的潜在价值而变得越来越有趣。利用因果程序和统计测试,分析骨肉瘤(OS)患者中的表皮生长因子受体(EGFR)和磷酸化蛋白激酶B(p-AKT)信号,以探讨其与癌细胞增殖标志物Ki-67的关系。在1994年至2003年临床研究期间,共收集了69例新诊断、未经治疗的骨肉瘤患者,这些患者均就诊于范德比尔特大学医学中心。构建了用于EGFR、p-AKT和Ki-67的组织微阵列。采用结构方程模型(SEM)构建中介模型,对骨肉瘤患者的三种生物标志物进行因果分析。结果表明,p-AKT在EGFR与Ki-67的因果关系中起中介作用。该研究还发现,EGFR与Ki-67之间存在显著关联(p = 0.002),EGFR与p-AKT之间存在显著关联(p = 0.027),在控制EGFR的情况下,p-AKT与Ki-67之间存在显著关联(p = 0.004)。在p-AKT对EGFR影响Ki-67的作用进行分析后,EGFR与Ki-67之间的关系不再显著(p = 0.381)。通过Sobel检验(p < 0.001)和Goodman(I)检验(p < 0.001)证实了中介作用。该研究表明,中介模型可作为一种方法,用于在临床研究中探索OS患者癌细胞增殖的EGFR和AKT信号通路的关联模式。