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Michael D Onken

Publications and source records attributed to Michael D Onken.

5 recordsLinked to original sources

Functional gene expression analysis uncovers phenotypic switch in aggressive uveal melanomas.

Microarray gene expression profiling is a powerful tool for generating molecular cancer classifications. However, elucidating biological insights from these large data sets has been challenging. Previously, we identified a gene expression-based classification of primary uveal melanomas that accurately predicts metastatic death. Class 1 tumors have a low risk and class 2 tumors a high risk for metastatic death. Here, we used genes that discriminate these tumor classes to identify biological correlates of the aggressive class 2 signature. A search for Gene Ontology categories enriched in our class-discriminating gene list revealed a global down-regulation of neural crest and melanocyte-specific genes and an up-regulation of epithelial genes in class 2 tumors. Correspondingly, class 2 tumors exhibited epithelial features, such as polygonal cell morphology, up-regulation of the epithelial adhesion molecule E-cadherin, colocalization of E-cadherin and beta-catenin to the plasma membrane, and formation of cell-cell adhesions and acinar structures. One of our top class-discriminating genes was the helix-loop-helix inhibitor ID2, which was strongly down-regulated in class 2 tumors. The class 2 phenotype could be recapitulated by eliminating Id2 in cultured class 1 human uveal melanoma cells and in a mouse ocular melanoma model. Id2 seemed to suppress the epithelial-like class 2 phenotype by inhibiting an activator of the E-cadherin promoter. Consequently, Id2 loss triggered up-regulation of E-cadherin, which in turn promoted anchorage-independent cell growth, a likely antecedent to metastasis. These findings reveal new roles for Id2 and E-cadherin in uveal melanoma progression, and they identify potential targets for therapeutic intervention.

Animals↗

Prognostic testing in uveal melanoma by transcriptomic profiling of fine needle biopsy specimens.

Many uveal melanoma patients die of metastasis despite ocular treatment. Transcriptomic profiling of enucleated tumors can identify patients at high metastatic risk. Because most uveal melanomas do not require enucleation, a biopsy would be required for this analysis. Here, we establish the feasibility of transcriptomic analysis of uveal melanomas from fine needle aspirates. Transcriptomic profiles were analyzed from postenucleation "mock" needle biopsies and matching tumors from eight enucleated eyes and from fine needle aspirates in 17 uveal melanomas before radiotherapy. Predictive accuracy was assessed using a weighted voting classifier optimized for probe set selection using a minimal redundancy/maximum relevance algorithm. Transcriptomic profiles from mock biopsies were highly similar to those from their matching tumor samples (P < 0.0001). Transcriptomic profiles from fine needle aspirates clustered into two classes with discriminating probe sets that overlapped significantly with those for our published classification (P < 0.00001). No loss of predictive accuracy was identified among eight needle aspirates obtained from a distant location. Thus, it is feasible to obtain RNA of adequate quality and quantity to perform transcriptomic analysis on uveal melanoma samples obtained by fine needle biopsy. This method can be applied to specimens obtained from distant geographic locations and can stratify uveal melanoma patients based on metastatic risk.

Adult↗

DDEF1 is located in an amplified region of chromosome 8q and is overexpressed in uveal melanoma.

PURPOSE: The molecular pathogenesis of uveal melanoma is poorly understood but is usually accompanied by amplification of chromosome 8q, suggesting the activation of one or more oncogenes. We recently identified a gene expression profile that distinguishes low-grade from high-grade melanomas. In this profile, a cluster of genes at chromosome 8q was overexpressed in high-grade tumors, providing an opportunity to search for potential oncogenes in this region. EXPERIMENTAL DESIGN: Gene expression microarray analysis was done on 25 primary uveal melanomas. Microarray comparative genomic hybridization (CGH), quantitative PCR, and immunohistochemistry were done on a subset of these tumors. Cell motility was measured using a wound-healing assay. RESULTS: In melanomas analyzed for microarray gene expression and CGH, gain of chromosome 8q correlated most strongly with expression of DDEF1, a gene located at 8q24. In contrast, the nearby MYC oncogene exhibited no significant change in expression. Confirming the microarray findings, DDEF1 mRNA levels and protein expression were significantly higher in high-grade melanomas. Furthermore, ectopic expression of DDEF1 in low-grade melanoma cells resulted in a significant increase in cell motility, a feature of high-grade metastasizing cells. CONCLUSIONS: These findings suggest that DDEF1 overexpression may be a pathogenetically relevant consequence of chromosome 8q amplification, which commonly occurs in high-grade uveal melanomas. We conclude that DDEF1 may act as an oncogene in this cancer, and it may be a useful diagnostic marker and therapeutic target.

Adaptor Proteins, Signal Transducing↗

Association between microarray gene expression signature and extravascular matrix patterns in primary uveal melanomas.

PURPOSE: To determine whether there is an association between gene expression profile and looping extravascular matrix patterns in primary uveal melanomas. DESIGN: Laboratory investigation. METHODS: Formalin-fixed, paraffin-embedded sections from 22 primary uveal melanomas that previously were analyzed by microarray gene expression profiling were stained for periodic acid-Schiff and scored in a masked fashion for the presence of looping extravascular matrix patterns. RESULTS: A strong association was observed between looping patterns and the unfavorable class 2 molecular prognostic signature (P < .001). CONCLUSIONS: Looping extravascular matrix patterns occur almost exclusively in class 2 uveal melanomas. This finding may provide new insights into the pathogenesis and management of uveal melanoma.

Gene Expression↗

Gene expression profiling in uveal melanoma reveals two molecular classes and predicts metastatic death.

Melanomas are notoriously difficult to classify because of a lack of discrete clinical and pathological stages. Here, we show that primary uveal melanomas surprisingly cluster into two distinct molecular classes based on gene expression profile. Genes that discriminate class 1 (low-grade) from class 2 (high-grade) include highly significant clusters of down-regulated genes on chromosome 3 and up-regulated genes on chromosome 8q, which is consistent with previous cytogenetic studies. A three-gene signature allows biopsy-size tumor samples to be assigned accurately to tumor classes using either array or PCR platforms. Most importantly, this molecular classification strongly predicts metastatic death and outperforms other clinical and pathological prognostic indicators. These studies offer new insights into melanoma pathogenesis, and they provide a practical foundation for effective clinical predictive testing.

Chromosome Aberrations↗