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Integrated analysis of genomic and transcriptomic profiles identified a prognostic immunohistochemistry panel for esophageal squamous cell cancer

机译:基因组和转录组谱的综合分析鉴定了食管鳞状细胞癌的预后免疫组化学组

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Background The poor outcome of patients with esophageal squamous cell carcinoma (ESCC) highlights the importance of the identification of novel effective prognostic biomarkers. We aimed to identify a clinically applicable prognostic immunohistochemistry (IHC) panel for ESCC. Methods An integrated analysis was performed to screen and establish a prognostic panel using exome sequencing profile from 81 pairs of ESCC samples and RNA expression microarray data from 119 ESCC subjects. Two independent ESCC cohorts were recruited as training and validation groups to test the prognostic value. Results Three genes were selected, namely, ANO1, GAL, and MMP3, which were aberrantly expressed in ESCC tumor tissues (P??.001). Among them, ANO1 and MMP3 were reserved for the construction of the prognostic panel due to their significant association with the prognosis of ESCC patients (P?=?.015 and P??.001). Patients with both ANO1+ and MMP3+ had a poorer prognosis than that with ANO1?/MMP3+, ANO1+/MMP3?, or ANO1?/MMP3???in both the training set and validation set (P??.001). Receiver operating characteristic analysis showed that the combination of IHC panel and eighth American Joint Commission on Cancer staging yielded a better prognostic predictive efficacy compared with the two indexes alone (P??.001, area under curve: 0.752). Finally, a nomogram was created by integrating the IHC markers and clinicopathological risk factors to predict prognosis with a C‐index of 0.695 (95% confidence interval: 0.657‐0.734). Conclusion Using an integrated multistage screening strategy, we identified and validated a valuable prognostic IHC panel for ESCC.
机译:背景技术食管鳞状细胞癌(ESCC)患者的差异突出了鉴定新型有效预后生物标志物的重要性。我们旨在识别ESCC临床适用的预后免疫组化(IHC)小组。方法使用来自119对ESCC受试者的81对ESCC样品和RNA表达微阵列数据进行筛选和建立预后组的筛选和建立预后组。招募了两个独立的ESCC队列作为培训和验证组以测试预后价值。结果选择三种基因,即AnO1,GAL和MMP3,其在ESCC肿瘤组织中试处于异常表达(P≤001)。其中,由于其与ESCC患者预后的显着相关性(P?= 015和P?<α.001),ANO1和MMP3被保留用于构建预后面板的构建ANO1 +和MMP3 +患者的预后较差,而不是ANO1?/ MMP3 +,ANO1 + / MMP3?,或ANO1?/ mmp3 ???在训练集和验证集(p?<001)中。接收器操作特征分析表明,与单独的两个指标相比,IHC面板和第八次联合癌症癌症委员会的组合产生了更好的预测预测效果(P?<β.001,曲线下面积:0.752)。最后,通过整合IHC标记和临床病理危险因素来创建一种探测器,以预测0.695的C折射率的预后(95%置信区间:0.657-0.734)。结论使用集成的多级筛选策略,我们确定并验证了ESCC有价值的预后IHC小组。

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