| Item type: | Article | ||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Journal or Publication Title: | Clinical cancer research | ||||||||||||||||||||||||||||
| Publisher: | American Association for Cancer Research | ||||||||||||||||||||||||||||
| Volume: | 13 | ||||||||||||||||||||||||||||
| Number of Issue or Book Chapter: | 3 | ||||||||||||||||||||||||||||
| Page Range: | pp. 806-815 | ||||||||||||||||||||||||||||
| Date: | February 2007 | ||||||||||||||||||||||||||||
| Institutions: | Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang) Informatics and Data Science > Department Computational Life Science > Lehrstuhl für Statistische Bioinformatik (Prof. Spang) | ||||||||||||||||||||||||||||
| Identification Number: |
| ||||||||||||||||||||||||||||
| Classification: |
| ||||||||||||||||||||||||||||
| Dewey Decimal Classification: | 500 Science > 570 Life sciences 600 Technology > 610 Medical sciences Medicine | ||||||||||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||||||||||
| Refereed: | Yes, this version has been refereed | ||||||||||||||||||||||||||||
| Created at the University of Regensburg: | No | ||||||||||||||||||||||||||||
| Item ID: | 30684 |
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. ...
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.
Metadata last modified: 29 Sep 2021 07:40
Altmetric