The gene expression signatures of melanoma progression

被引:343
作者
Haqq, C
Nosrati, M
Sudilovsky, D
Crothers, J
Khodabakhsh, D
Pulliam, BL
Federman, S
Miller, JR
Allen, RE
Singer, MI
Leong, SPL
Ljung, BM
Sagebiel, RW
Kashani-Sabet, M
机构
[1] Univ Calif San Francisco, Ctr Comprehens Canc, Melanoma Ctr, Auerback Melanoma Res Lab, San Francisco, CA 94115 USA
[2] Univ Calif San Francisco, Ctr Comprehens Canc, Dept Dermatol, Cutaneous Oncol Program, San Francisco, CA 94115 USA
[3] Univ Calif San Francisco, Ctr Comprehens Canc, Dept Pathol, San Francisco, CA 94115 USA
[4] Univ Calif San Francisco, Ctr Comprehens Canc, Dept Surg, San Francisco, CA 94115 USA
[5] Univ Calif San Francisco, Ctr Comprehens Canc, Dept Otolaryngol, San Francisco, CA 94115 USA
[6] Univ Calif San Francisco, Ctr Comprehens Canc, Dept Med, San Francisco, CA 94115 USA
[7] Univ Calif San Francisco, Ctr Comprehens Canc, Prostate Canc Program, San Francisco, CA 94115 USA
关键词
bioinformatics; human; microarray; metastasis; laser capture;
D O I
10.1073/pnas.0501564102
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Because of the paucity of available tissue, little information has previously been available regarding the gene expression profiles of primary melanomas. To understand the molecular basis of melanoma progression, we compared the gene expression profiles of a series of nevi, primary melanomas, and melanoma metastases. We found that metastatic melanomas exhibit two dichotomous patterns of gene expression, which unexpectedly reflect gene expression differences already apparent in comparing laser-capture microdissected radial and vertical phases of a large primary melanoma. Unsupervised hierarchical clustering accurately separated nevi and primary melanomas. Multiclass significance analysis of microarrays comparing normal skin, nevi, primary melanomas, and the two types of metastatic melanoma identified 2,602 transcripts that significantly correlated with sample class. These results suggest that melanoma pathogenesis can be understood as a series of distinct molecular events. The gene expression signatures identified here provide the basis for developing new diagnostics and targeting therapies for patients with malignant melanoma.
引用
收藏
页码:6092 / 6097
页数:6
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