School of Engineering, Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Queensland 4558, Australia.
The School of Public Health, Institute for Chemical Carcinogenesis, Guangzhou Medical University, 195 Dongfengxi Road, Guangzhou 510182, China.
Life Sci. 2018 Oct 15;211:206-214. doi: 10.1016/j.lfs.2018.09.032. Epub 2018 Sep 19.
There has been limited research on CNVs in oncogenes and we conducted a systematic pan-cancer analysis of CNVs and their gene expression changes. The aim of the present study was to provide an insight into the relationships between gene expression and oncogenesis.
We collected all the oncogenes from ONGene database and overlapped with CNVs TCGA tumour samples from Catalogue of Somatic Mutations in Cancer database. We further conducted an integrative analysis of CNV with gene expression using the data from the matched TCGA tumour samples.
From our analysis, we found 637 oncogenes associated with CNVs in 5900 tumour samples. There were 204 oncogenes with frequent copy number of gain (CNG). These 204 oncogenes were enriched in cancer-related pathways including the MAPK cascade and Ras GTPases signalling pathways. By using corresponding tumour samples data to perform integrative analyses of CNVs and gene expression changes, we identified 95 oncogenes with consistent CNG occurrence and up-regulation in the tumour samples, which may represent the recurrent driving force for oncogenesis. Surprisingly, eight oncogenes shown concordant CNG and gene up-regulation in at least 250 tumour samples: INTS8 (355), ECT2 (326), LSM1 (310), DDHD2 (298), COPS5 (286), EIF3E (281), TPD52 (258) and ERBB2 (254).
As the first report about abundant CNGs on oncogene and concordant change of gene expression, our results may be valuable for the design of CNV-based cancer diagnostic strategy.
在癌基因中的 CNV 研究较少,我们对 CNV 及其基因表达变化进行了系统的泛癌分析。本研究旨在深入了解基因表达与肿瘤发生之间的关系。
我们从 ONGene 数据库中收集了所有的癌基因,并与 Catalogue of Somatic Mutations in Cancer 数据库中的 TCGA 肿瘤样本中的 CNV 重叠。我们进一步使用来自匹配 TCGA 肿瘤样本的数据对 CNV 与基因表达进行综合分析。
通过分析,我们在 5900 个肿瘤样本中发现了 637 个与 CNV 相关的癌基因。有 204 个癌基因频繁发生拷贝数增益(CNG)。这些 204 个癌基因富集在癌症相关途径中,包括 MAPK 级联和 Ras GTPases 信号通路。通过使用相应的肿瘤样本数据对 CNV 和基因表达变化进行综合分析,我们鉴定了 95 个癌基因,这些癌基因在肿瘤样本中具有一致的 CNG 发生和上调,这可能代表肿瘤发生的反复驱动因素。令人惊讶的是,有 8 个癌基因在至少 250 个肿瘤样本中表现出一致的 CNG 和基因上调:INTS8(355)、ECT2(326)、LSM1(310)、DDHD2(298)、COPS5(286)、EIF3E(281)、TPD52(258)和 ERBB2(254)。
作为第一篇关于癌基因中丰富的 CNG 和基因表达一致性变化的报道,我们的结果可能对基于 CNV 的癌症诊断策略的设计具有重要价值。