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葡萄膜黑色素瘤肝转移相关基因及通路的表达分析。

Expression analysis of genes and pathways associated with liver metastases of the uveal melanoma.

机构信息

Department of Ophthalmology, The branch of the first people's hospital of Shanghai, Shanghai 200081, China.

出版信息

BMC Med Genet. 2014 Mar 5;15:29. doi: 10.1186/1471-2350-15-29.

Abstract

BACKGROUND

Uveal melanoma is an aggressive cancer which has a high percentage metastasizing to the liver, with a worse prognosis. Identification of patients at high risk of metastases may provide information for early detection of metastases and treatment.

METHODS

Expression profiling of ocular tumor tissues from 46 liver metastatic uveal melanoma samples and 45 non-metastatic uveal melanoma samples were got from GEO database. Bioinformatic analyses such as the Gene Oncology and Kyoto Encyclopedia of Genes and Genomes were used to identify genes and pathways specifically associated with liver metastases of the uveal melanoma.

RESULTS

A total of 1138 probes were differentially expressed in two group samples. All differential gene interactions in the Signal-Net were analyzed. Of them, 768 probes were up-regulated and 370 down-regulated. They mainly participated in 125 GO terms and 16 pathways. Of the genes differentially expressed between two group cancers, HTR2B, CHL1, the ZNF family, YWHAZ and FYN were the most significantly altered.

CONCLUSIONS

Bioinformatics may help excavate and analyze large amounts of data in microarrays by means of rigorous experimental planning, scientific statistical analysis and collection of complete data about liver metastases of uveal melanoma patients. In the present study, a novel differential gene expression pattern was constructed and advanced study will provide new targets for diagnosis and mechanism of uveal melanoma liver metastases.

摘要

背景

葡萄膜黑色素瘤是一种侵袭性癌症,其转移到肝脏的比例很高,预后较差。识别具有高转移风险的患者可能提供有关转移早期检测和治疗的信息。

方法

从 GEO 数据库中获得了 46 例肝转移性葡萄膜黑色素瘤样本和 45 例非转移性葡萄膜黑色素瘤样本的眼部肿瘤组织表达谱。生物信息学分析,如基因肿瘤学和京都基因与基因组百科全书,用于鉴定与葡萄膜黑色素瘤肝转移特异性相关的基因和途径。

结果

两组样本中共有 1138 个探针存在差异表达。对信号网络中的所有差异基因相互作用进行了分析。其中,768 个探针上调,370 个下调。它们主要参与 125 个 GO 术语和 16 个途径。在两组癌症之间差异表达的基因中,HTR2B、CHL1、ZNF 家族、YWHAZ 和 FYN 变化最显著。

结论

生物信息学可以通过严格的实验规划、科学的统计分析和收集有关葡萄膜黑色素瘤患者肝转移的完整数据,帮助挖掘和分析微阵列中的大量数据。在本研究中,构建了一种新的差异基因表达模式,进一步的研究将为葡萄膜黑色素瘤肝转移的诊断和机制提供新的靶点。

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