Investigating Multi-cancer Biomarkers and Their Cross-predictability in the Expression Profiles of Multiple Cancer Types.
Investigating Multi-cancer Biomarkers and Their Cross-predictability in the Expression Profiles of Multiple Cancer Types.
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DOI：
10.4137/bmi.s930
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发表时间：
2009-05-01
影响因子：
3.8
通讯作者：
Luo JH
中科院分区：
文献类型：
--
作者：
Tseng GC;Cheng C;Yu YP;Nelson J;Michalopoulos G;Luo JH
基因芯片技术已被广泛应用于多种恶性肿瘤的分析，然而，在多个研究的综合分析很少。在这项研究中，我们对四项已发表的研究的表达谱进行了荟萃分析，这些研究分析了器官供体、肿瘤邻近的良性组织和来自肝脏、前列腺、肺和膀胱样本的肿瘤组织。我们在肝脏和前列腺的所有三种组织的比较中鉴定了99种不同的多癌症生物标志物，在肝脏、前列腺和肺的正常与肿瘤的比较中鉴定了44种。膀胱样本似乎具有与其他三种癌症类型不同的生物标志物列表。所鉴定的多癌症生物标志物实现了与在癌症类型内预测中使用全基因组类似的高准确性。在癌型间预测中，它们也比使用全基因组的方法表现出上级。为了测试多癌症生物标志物的有效性，评估了23个独立的前列腺癌样本，并且分别从原始前列腺癌、肝癌和肺癌数据集进行的研究间预测的准确率达到96%。结果表明，多癌症生物标志物的紧凑列表在癌症发展中是重要的，并且代表了多种癌症类型的恶性肿瘤的共同特征。通路分析揭示了重要的肿瘤发生功能类别。
Microarray technology has been widely applied to the analysis of many malignancies, however, integrative analyses across multiple studies are rarely investigated. In this study we performed a meta-analysis on the expression profiles of four published studies analyzing organ donor, benign tissues adjacent to tumor and tumor tissues from liver, prostate, lung and bladder samples. We identified 99 distinct multi-cancer biomarkers in the comparison of all three tissues in liver and prostate and 44 in the comparison of normal versus tumor in liver, prostate and lung. The bladder samples appeared to have a different list of biomarkers from the other three cancer types. The identified multi-cancer biomarkers achieved high accuracy similar to using whole genome in the within-cancer-type prediction. They also performed superior than the one using whole genome in inter-cancer-type prediction. To test the validity of the multi-cancer biomarkers, 23 independent prostate cancer samples were evaluated and 96% accuracy was achieved in inter-study prediction from the original prostate, liver and lung cancer data sets respectively. The result suggests that the compact lists of multi-cancer biomarkers are important in cancer development and represent the common signatures of malignancies of multiple cancer types. Pathway analysis revealed important tumorogenesis functional categories.