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根据恶性潜能对人类胃肠道间质瘤进行基因表达谱分析。

Gene expression profiling of human gastrointestinal stromal tumors according to its malignant potential.

机构信息

Cancer Research Institute, Seoul National University College of Medicine, 28 Yongon-dong, Chongno-gu, Seoul, 110-744, Republic of Korea.

出版信息

Dig Dis Sci. 2010 Sep;55(9):2561-7. doi: 10.1007/s10620-009-1061-4. Epub 2010 Jan 27.

Abstract

PURPOSE

Surgical removal or treatment with Imatinib mesylate (STI-571/Gleevec) is shown to be highly effective in gastrointestinal stromal tumors (GISTs). However, it is unclear the understanding of the molecular basis in GISTs according to its malignant potential. The aim of this study was therefore to determine the gene expression profiles according to GISTs risk progresses.

RESULTS

In this study, we performed a cDNA microarray with 30 human GIST tissues using the Mac Array-Express 10K chip (10,800 genes), and compared their gene expression profiles among low (n=10), intermediate (n=8), and high-risk groups (n=12) according to NIH consensus criteria. A total of 181 genes were identified to be expressed differentially according to GISTs risk category. After clustering by self-organizing maps, the expression profiles of 32 genes sequentially increased as the tumor risk increased, and those of 37 genes sequentially decreased as the tumor risk increased. Identified targets have been cross referenced against their involvements in different cellular pathways, according to GenMAPP, KEGG, and BioCarta. In pathway-enrichment analysis, eight up-regulated pathways and ten down-regulated pathways were significantly enriched.

CONCLUSIONS

Our results showed a remarkably distinct and uniform expression pattern in GISTs progression. Moreover, the expression profiling of GISTs may be used as a basic reference to better understand the molecular basis of GISTs tumorigenesis and to identify a novel target molecule for replacing KIT and PDGFRA for a complementary diagnosis and effective curative treatments.

摘要

目的

手术切除或使用甲磺酸伊马替尼(STI-571/Gleevec)治疗胃肠道间质瘤(GIST)非常有效。然而,根据其恶性潜能,GIST 中分子基础的理解尚不清楚。因此,本研究的目的是根据 GIST 风险进展确定基因表达谱。

结果

在这项研究中,我们使用 Mac Array-Express 10K 芯片(10800 个基因)对 30 个人类 GIST 组织进行了 cDNA 微阵列分析,并根据 NIH 共识标准比较了低风险组(n=10)、中风险组(n=8)和高风险组(n=12)之间的基因表达谱。根据 GIST 风险类别,共鉴定出 181 个差异表达基因。通过自组织映射聚类后,随着肿瘤风险的增加,32 个基因的表达谱依次增加,37 个基因的表达谱依次降低。根据 GenMAPP、KEGG 和 BioCarta,鉴定出的靶标已与其在不同细胞途径中的参与情况进行了交叉引用。在通路富集分析中,八个上调通路和十个下调通路显著富集。

结论

我们的结果显示 GIST 进展中存在明显的不同和一致的表达模式。此外,GIST 的表达谱可能用作更好地理解 GIST 肿瘤发生分子基础的基本参考,并鉴定出一种新的靶分子来替代 KIT 和 PDGFRA,用于补充诊断和有效治疗。

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