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激光显微切割黑色素瘤组织中肿瘤进展、肿瘤亚型和肿瘤厚度的基因表达特征。

Gene expression signatures for tumor progression, tumor subtype, and tumor thickness in laser-microdissected melanoma tissues.

作者信息

Jaeger Jochen, Koczan Dirk, Thiesen Hans-Juergen, Ibrahim Saleh M, Gross Gerd, Spang Rainer, Kunz Manfred

机构信息

Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany.

出版信息

Clin Cancer Res. 2007 Feb 1;13(3):806-15. doi: 10.1158/1078-0432.CCR-06-1820.

Abstract

PURPOSE

To better understand the molecular mechanisms of malignant melanoma progression and metastasis, gene expression profiling was done of primary melanomas and melanoma metastases.

EXPERIMENTAL DESIGN

Tumor cell-specific gene expression in 19 primary melanomas and 22 melanoma metastases was analyzed using oligonucleotide microarrays after laser-capture microdissection of melanoma cells. Statistical analysis was done by random permutation analysis and support vector machines. Microarray data were further validated by immunohistochemistry and immunoblotting.

RESULTS

Overall, 308 genes were identified that showed significant differential expression between primary melanomas and melanoma metastases (false discovery rate<or=0.05). Significantly overrepresented gene ontology categories in the list of 308 genes were cell cycle regulation, mitosis, cell communication, and cell adhesion. Overall, 47 genes showed up-regulation in metastases. These included Cdc6, Cdk1, septin 6, mitosin, kinesin family member 2C, osteopontin, and fibronectin. Down-regulated genes included E-cadherin, fibroblast growth factor binding protein, and desmocollin 1 and desmocollin 3, stratifin/14-3-3sigma, and the chemokine CCL27. Using support vector machine analysis of gene expression data, a performance of >85% correct classifications for primary melanomas and metastases was reached. Further analysis showed that subtypes of primary melanomas displayed characteristic gene expression patterns, as do thin tumors (<or=1.0 mm Breslow thickness) compared with intermediate and thick tumors (>2.0 mm Breslow thickness).

CONCLUSIONS

Taken together, this large-scale gene expression study of malignant melanoma identified molecular signatures related to metastasis, melanoma subtypes, and tumor thickness. These findings not only provide deeper insights into the pathogenesis of melanoma progression but may also guide future research on innovative treatments.

摘要

目的

为了更好地理解恶性黑色素瘤进展和转移的分子机制,对原发性黑色素瘤和黑色素瘤转移灶进行了基因表达谱分析。

实验设计

在对黑色素瘤细胞进行激光捕获显微切割后,使用寡核苷酸微阵列分析了19例原发性黑色素瘤和22例黑色素瘤转移灶中的肿瘤细胞特异性基因表达。通过随机置换分析和支持向量机进行统计分析。微阵列数据通过免疫组织化学和免疫印迹进一步验证。

结果

总体而言,共鉴定出308个基因,这些基因在原发性黑色素瘤和黑色素瘤转移灶之间表现出显著差异表达(错误发现率≤0.05)。在这308个基因列表中,显著过度富集的基因本体类别包括细胞周期调控、有丝分裂、细胞通讯和细胞粘附。总体而言,47个基因在转移灶中上调。这些基因包括Cdc6、Cdk1、septin 6、mitosin、驱动蛋白家族成员2C、骨桥蛋白和纤连蛋白。下调的基因包括E-钙粘蛋白、成纤维细胞生长因子结合蛋白、桥粒芯蛋白1和桥粒芯蛋白3、stratifin/14-3-3sigma以及趋化因子CCL27。使用支持向量机对基因表达数据进行分析,原发性黑色素瘤和转移灶的正确分类准确率达到了85%以上。进一步分析表明,原发性黑色素瘤的亚型呈现出特征性的基因表达模式,薄肿瘤(Breslow厚度≤1.0 mm)与中等厚度和厚肿瘤(Breslow厚度>2.0 mm)相比也是如此。

结论

综上所述,这项关于恶性黑色素瘤的大规模基因表达研究确定了与转移、黑色素瘤亚型和肿瘤厚度相关的分子特征。这些发现不仅为黑色素瘤进展的发病机制提供了更深入的见解,还可能为未来创新治疗的研究提供指导。

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