Protein Kinase Signaling Networks Driven by Oncogenic Gq/11 in Uveal Melanoma Identified by Phosphoproteomic and Bioinformatic Analyses.

Metastatic uveal melanoma (UM) patients typically survive only 2 to 3 years because effective therapy does not yet exist. Here, to facilitate the discovery of therapeutic targets in UM, we have identified protein kinase signaling mechanisms elicited by the drivers in 90% of UM tumors: mutant constitutively active G protein α-subunits encoded by GNAQ (Gq) or GNA11 (G11). We used the highly specific Gq/11 inhibitor FR900359 (FR) to elucidate signaling networks that drive proliferation, metabolic reprogramming, and dedifferentiation of UM cells. We determined the effects of FR on the proteome and phosphoproteome of UM cells as indicated by bioinformatic analyses with CausalPath and site-specific gene set enrichment analysis. We found that inhibition of oncogenic Gq/11 caused deactivation of PKC, Erk, and the cyclin-dependent kinases CDK1 and CDK2 that drive proliferation. Inhibition of oncogenic Gq/11 in UM cells with low metastatic risk relieved inhibitory phosphorylation of polycomb-repressive complex subunits that regulate melanocytic redifferentiation. Site-specific gene set enrichment analysis, unsupervised analysis, and functional studies indicated that mTORC1 and 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 2 drive metabolic reprogramming in UM cells. Together, these results identified protein kinase signaling networks driven by oncogenic Gq/11 that regulate critical aspects of UM cell biology and provide targets for therapeutic investigation.

Oncogenic Gq/11 signaling acutely drives and chronically sustains metabolic reprogramming in uveal melanoma.

Metabolic reprogramming has been shown to occur in uveal melanoma (UM), the most common intraocular tumor in adults. Mechanisms driving metabolic reprogramming in UM are poorly understood. Elucidation of these mechanisms could inform development of new therapeutic strategies for metastatic UM, which has poor prognosis because existing therapies are ineffective. Here, we determined whether metabolic reprogramming is driven by constitutively active mutant α-subunits of the heterotrimeric G proteins Gq or G11 (Gq/11), the oncogenic drivers in ∼90% of UM patients. Using PET-computed tomography imaging, microphysiometry, and GC/MS, we found that inhibition of oncogenic Gq/11 with the small molecule FR900359 (FR) attenuated glucose uptake by UM cells in vivo and in vitro, blunted glycolysis and mitochondrial respiration in UM cell lines and tumor cells isolated from patients, and reduced levels of several glycolytic and tricarboxylic acid cycle intermediates. FR acutely inhibited glycolysis and respiration and chronically attenuated expression of genes in both metabolic processes. UM therefore differs from other melanomas that exhibit a classic Warburg effect. Metabolic reprogramming in UM cell lines and patient samples involved protein kinase C and extracellular signal-regulated protein kinase 1/2 signaling downstream of oncogenic Gq/11. Chronic administration of FR upregulated expression of genes involved in metabolite scavenging and redox homeostasis, potentially as an adaptive mechanism explaining why FR does not efficiently kill UM tumor cells or regress UM tumor xenografts. These results establish that oncogenic Gq/11 signaling is a crucial driver of metabolic reprogramming in UM and lay a foundation for studies aimed at targeting metabolic reprogramming for therapeutic development.

Targeting primary and metastatic uveal melanoma with a G protein inhibitor.

Uveal melanoma (UM) is the most common intraocular tumor in adults. Nearly half of UM patients develop metastatic disease and often succumb within months because effective therapy is lacking. A novel therapeutic approach has been suggested by the discovery that UM cell lines driven by mutant constitutively active Gq or G11 can be targeted by FR900359 (FR) or YM-254890, which are bioavailable, selective inhibitors of the Gq/11/14 subfamily of heterotrimeric G proteins. Here, we have addressed the therapeutic potential of FR for UM. We found that FR inhibited all oncogenic Gq/11 mutants reported in UM. FR arrested growth of all Gq/11-driven UM cell lines tested, but induced apoptosis only in a few. Similarly, FR inhibited growth of, but did not efficiently kill, UM tumor cells from biopsies of primary or metastatic tumors. FR evoked melanocytic redifferentiation of UM tumor cells with low (class 1), but not high (class 2), metastatic potential. FR administered systemically below its LD50 strongly inhibited growth of PDX-derived class 1 and class 2 UM tumors in mouse xenograft models and reduced blood pressure transiently. FR did not regress xenografted UM tumors or significantly affect heart rate, liver function, hematopoiesis, or behavior. These results indicated the existence of a therapeutic window in which FR can be explored for treating UM and potentially other diseases caused by constitutively active Gq/11.

Meeting Report From the 2023 Cure Ocular Melanoma (CURE OM) Global Science Meeting, Philadelphia, PA, November 2023.

The 2023 Cure Ocular Melanoma (CURE OM) Global Science Meeting was held in Philadelphia on November 6, 2023. There is increased awareness and dedicated research in uveal melanoma (UM), but unmet needs remain in the prevention, detection, and treatment of UM. The purpose of this meeting was to provide an international forum for the exchange of research ideas, to allow for discussion of basic science as well as clinical research on UM, and to gather input about advocacy and patient needs.

BAP1 deficiency causes loss of melanocytic cell identity in uveal melanoma.

BACKGROUND: Uveal melanoma is a highly aggressive cancer with a strong propensity for metastasis, yet little is known about the biological mechanisms underlying this metastatic potential. We recently showed that most metastasizing uveal melanomas, which exhibit a class 2 gene expression profile, contain inactivating mutations in the tumor suppressor BAP1. The aim of this study was to investigate the role of BAP1 in uveal melanoma progression. METHODS: Uveal melanoma cells were studied following RNAi-mediated depletion of BAP1 using proliferation, BrdU incorporation, flow cytometry, migration, invasion, differentiation and clonogenic assays, as well as in vivo tumorigenicity experiments in NOD-SCID-Gamma mice. RESULTS: Depletion of BAP1 in uveal melanoma cells resulted in a loss of differentiation and gain of stem-like properties, including expression of stem cell markers, increased capacity for self-replication, and enhanced ability to grow in stem cell conditions. BAP1 depletion did not result in increased proliferation, migration, invasion or tumorigenicity. CONCLUSIONS: BAP1 appears to function in the uveal melanocyte lineage primarily as a regulator of differentiation, with cells deficient for BAP1 exhibiting stem-like qualities. It will be important to elucidate how this effect of BAP1 loss promotes metastasis and how to reverse this effect therapeutically.

Septin and actin contributions to endothelial cell-cell junctions and monolayer integrity.

Septins in endothelial cells (ECs) have important roles supporting the integrity of the endothelial monolayer. Cell-cell junctions in EC monolayers are highly dynamic, with continuous retractions and protrusions. Depletion of septins in ECs leads to disruption of cell-cell junctions, which are composed of VE-cadherin and other junctional proteins. In EC monolayers, septins are concentrated at the plasma membrane at sites of cell-cell contact, in curved- and scallop-shaped patterns. These membrane-associated septin accumulations are located in regions of positive membrane curvature, and those regions are often associated with and immediately adjacent to actin-rich protrusions with negative membrane curvature. EC septins associate directly with plasma membrane lipids, based on findings with site-specific mutations of septins in ECs, which is consistent with biochemical and cell biological studies in other systems. Loss of septins leads to disruption of the EC monolayer, and gaps form between cells. The number and breadth of cell-cell contacts and junctions decreases, and the number and frequency of retractions, ruffles, and protrusions at cell edges also decreases. In addition, loss of septins leads to decreased amounts of F-actin at the cortical membrane, along with increased amounts of F-actin in stress fibers of the cytoplasm. Endothelial monolayer disruption from loss of septins is also associated with decreased transendothelial electric resistance (TEER) and increased levels of transendothelial migration (TEM) by immune and cancer cells, owing to the gaps in the monolayer. A current working model is that assembly of septin filaments at regions of positive membrane curvature contributes to a mechanical footing or base for actin-based protrusive forces generated at adjoining regions of the membrane. Specific molecular interactions between the septin and actin components of the cytoskeleton may also be important contributors. Regulators of actin assembly may promote and support the assembly of septin filaments at the membrane, as part of a molecular feedback loop between the assembly of septin and actin filaments.

Collaborative Ocular Oncology Group report number 1: prospective validation of a multi-gene prognostic assay in uveal melanoma.

PURPOSE: This study evaluates the prognostic performance of a 15 gene expression profiling (GEP) assay that assigns primary posterior uveal melanomas to prognostic subgroups: class 1 (low metastatic risk) and class 2 (high metastatic risk). DESIGN: Prospective, multicenter study. PARTICIPANTS: A total of 459 patients with posterior uveal melanoma were enrolled from 12 independent centers. TESTING: Tumors were classified by GEP as class 1 or class 2. The first 260 samples were also analyzed for chromosome 3 status using a single nucleotide polymorphism assay. Net reclassification improvement analysis was performed to compare the prognostic accuracy of GEP with the 7th edition clinical Tumor-Node-Metastasis (TNM) classification and chromosome 3 status. MAIN OUTCOME MEASURES: Patients were managed for their primary tumor and monitored for metastasis. RESULTS: The GEP assay successfully classified 446 of 459 cases (97.2%). The GEP was class 1 in 276 cases (61.9%) and class 2 in 170 cases (38.1%). Median follow-up was 17.4 months (mean, 18.0 months). Metastasis was detected in 3 class 1 cases (1.1%) and 44 class 2 cases (25.9%) (log-rank test, P<10(-14)). Although there was an association between GEP class 2 and monosomy 3 (Fisher exact test, P<0.0001), 54 of 260 tumors (20.8%) were discordant for GEP and chromosome 3 status, among which GEP demonstrated superior prognostic accuracy (log-rank test, P = 0.0001). By using multivariate Cox modeling, GEP class had a stronger independent association with metastasis than any other prognostic factor (P<0.0001). Chromosome 3 status did not contribute additional prognostic information that was independent of GEP (P = 0.2). At 3 years follow-up, the net reclassification improvement of GEP over TNM classification was 0.43 (P = 0.001) and 0.38 (P = 0.004) over chromosome 3 status. CONCLUSIONS: The GEP assay had a high technical success rate and was the most accurate prognostic marker among all of the factors analyzed. The GEP provided a highly significant improvement in prognostic accuracy over clinical TNM classification and chromosome 3 status. Chromosome 3 status did not provide prognostic information that was independent of GEP.

A DICOM architecture for clinicians and researchers.

Over the last years there has been a strong trend of publishing health data in anonymized format in order to make it available for research. This is also true for medical imaging where the DICOM standard is the predominant data format and network protocol. This paper proposes an extension to any DICOM networking infrastructure that permits sharing of medical images in an anonymized way. Standard DICOM software is utilized on client and server side. While offering researchers access to all images in anonymous format, the architecture enables authorized clinicians to access the same images including their original patient information (name, institution, etc.). Identifying parts and anonymous parts of the image data are stored to geologically different databases. Together with sophisticated network protocols, patient privacy is fully preserved.

Uveal melanoma cells use ameboid and mesenchymal mechanisms of cell motility crossing the endothelium.

Uveal melanomas (UMs) are malignant cancers arising from the pigmented layers of the eye. UM cells spread through the bloodstream, and circulating UM cells are detectable in patients before metastases appear. Extravasation of UM cells is necessary for formation of metastases, and transendothelial migration (TEM) is a key step in extravasation. UM cells execute TEM via a stepwise process involving the actin-based processes of ameboid blebbing and mesenchymal lamellipodial protrusion. UM cancers are driven by oncogenic mutations that activate Gαq/11, and this activates TRIO, a guanine nucleotide exchange factor for RhoA and Rac1. We found that pharmacologic inhibition of Gαq/11 in UM cells reduced TEM. Inhibition of the RhoA pathway blocked amoeboid motility but led to enhanced TEM; in contrast, inhibition of the Rac1 pathway decreased mesenchymal motility and reduced TEM. Inhibition of Arp2/3 complex allowed cells to transmigrate without intercalation, a direct mechanism similar to the one often displayed by immune cells. BAP1-deficient (+/-) UM subclones displayed motility behavior and increased levels of TEM, similar to the effects of RhoA inhibitors. We conclude that RhoA and Rac1 signaling pathways, downstream of oncogenic Gαq/11, combine with pathways regulated by BAP1 to control the motility and transmigration of UM cells.

Chloroquine Sensitizes GNAQ/11-mutated Melanoma to MEK1/2 Inhibition.

PURPOSE: Mutational activation of GNAQ or GNA11 (GNAQ/11), detected in >90% of uveal melanomas, leads to constitutive activation of oncogenic pathways, including MAPK and YAP. To date, chemo- or pathway-targeted therapies, either alone or in combination, have proven ineffective in the treatment of patients with metastatic uveal melanoma. EXPERIMENTAL DESIGN: We tested the efficacy of chloroquine or hydroxychloroquine, in combination with MAPK pathway inhibition in GNAQ/11-mutated cells in vitro and in vivo and identified mechanisms of MEK1/2 inhibitor plus chloroquine-induced cytotoxicity. RESULTS: Inhibition of GNAQ/11-mediated activation of MAPK signaling resulted in the induction of autophagy. Combined inhibition of Gα and autophagy or lysosome function resulted in enhanced cell death. Moreover, the combination of MEK1/2 inhibition, using trametinib, with the lysosome inhibitor, chloroquine, also increased cytotoxicity. Treatment of mice bearing GNAQ/11-driven melanomas with trametinib plus hydroxychloroquine resulted in inhibition of tumor growth and significantly prolonged survival. Interestingly, lysosomal- and autophagy-specific inhibition with bafilomycin A1 was not sufficient to promote cytotoxicity in combination with trametinib. However, the addition of YAP inhibition with trametinib plus bafilomycin A1 resulted in cell death at comparable levels to trametinib plus chloroquine (T/CQ) treatment. Furthermore, T/CQ-treated cells displayed decreased YAP nuclear localization and decreased YAP transcriptional activity. Expression of a constitutively active YAP5SA mutant conferred resistance to T/CQ-induced cell death. CONCLUSIONS: These results suggest that YAP, MEK1/2, and lysosome function are necessary and critical targets for the therapy of GNAQ/11-driven melanoma, and identify trametinib plus hydroxychloroquine as a potential treatment strategy for metastatic uveal melanoma.

Quantitative Imaging Informatics for Cancer Research.

PURPOSE: We summarize Quantitative Imaging Informatics for Cancer Research (QIICR; U24 CA180918), one of the first projects funded by the National Cancer Institute (NCI) Informatics Technology for Cancer Research program. METHODS: QIICR was motivated by the 3 use cases from the NCI Quantitative Imaging Network. 3D Slicer was selected as the platform for implementation of open-source quantitative imaging (QI) tools. Digital Imaging and Communications in Medicine (DICOM) was chosen for standardization of QI analysis outputs. Support of improved integration with community repositories focused on The Cancer Imaging Archive (TCIA). Priorities included improved capabilities of the standard, toolkits and tools, reference datasets, collaborations, and training and outreach. RESULTS: Fourteen new tools to support head and neck cancer, glioblastoma, and prostate cancer QI research were introduced and downloaded over 100,000 times. DICOM was amended, with over 40 correction proposals addressing QI needs. Reference implementations of the standard in a popular toolkit and standalone tools were introduced. Eight datasets exemplifying the application of the standard and tools were contributed. An open demonstration/connectathon was organized, attracting the participation of academic groups and commercial vendors. Integration of tools with TCIA was improved by implementing programmatic communication interface and by refining best practices for QI analysis results curation. CONCLUSION: Tools, capabilities of the DICOM standard, and datasets we introduced found adoption and utility within the cancer imaging community. A collaborative approach is critical to addressing challenges in imaging informatics at the national and international levels. Numerous challenges remain in establishing and maintaining the infrastructure of analysis tools and standardized datasets for the imaging community. Ideas and technology developed by the QIICR project are contributing to the NCI Imaging Data Commons currently being developed.

A metastasis modifier locus on human chromosome 8p in uveal melanoma identified by integrative genomic analysis.

PURPOSE: To identify genes that modify metastatic risk in uveal melanoma, a type of cancer that is valuable for studying metastasis because of its remarkably consistent metastatic pattern and well-characterized gene expression signature associated with metastasis. EXPERIMENTAL DESIGN: We analyzed 53 primary uveal melanomas by gene expression profiling, array-based comparative genomic hybridization, array-based global DNA methylation profiling, and single nucleotide polymorphism-based detection of loss of heterozygosity to identify modifiers of metastatic risk. A candidate gene, leucine zipper tumor suppressor-1 (LZTS1), was examined for its effect on proliferation, migration, and motility in cultured uveal melanoma cells. RESULTS: In metastasizing primary uveal melanomas, deletion of chromosome 8p12-22 and DNA hypermethylation of the corresponding region of the retained hemizygous 8p allele were associated with more rapid metastasis. Among the 11 genes located within the deleted region, LZTS1 was most strongly linked to rapid metastasis. LZTS1 was silenced in rapidly metastasizing and metastatic uveal melanomas but not in slowly metastasizing and nonmetastasizing uveal melanomas. Forced expression of LZTS1 in metastasizing uveal melanoma cells inhibited their motility and invasion, whereas depletion of LZTS1 increased their motility. CONCLUSIONS: We have described a metastatic modifier locus on chromosome 8p and identified LZTS1 as a potential metastasis suppressor within this region. This study shows the utility of integrative genomic methods for identifying modifiers of metastatic risk in human cancers and may suggest new therapeutic targets in metastasizing tumor cells.

Integrative genomic analysis of aneuploidy in uveal melanoma.

PURPOSE: Aneuploidy is a hallmark of cancer and is closely linked to metastasis and poor clinical outcome. Yet, the mechanisms leading to aneuploidy and its role in tumor progression remain poorly understood. The extensive and complex karyotypic abnormalities seen in many solid tumors could hinder the identification of pathogenetically relevant chromosomal alterations. Uveal melanoma is an attractive solid tumor for studying aneuploidy because it is a relatively homogeneous cancer that is highly metastatic and has low nonspecific chromosomal instability. EXPERIMENTAL DESIGN: Comparative genomic hybridization and gene expression profiling were used to analyze patterns of aneuploidy in 49 primary uveal melanomas. This analysis was supplemented by a review of cytogenetic findings in 336 published cases. RESULTS: Three prognostically significant tumor subgroups were identified based on the status of chromosomes 3 and 6p. Discrete patterns of chromosomal alterations accumulated in these three subgroups in a nonrandom temporal sequence. Poor clinical outcome was associated with early chromosomal alterations rather than overall aneuploidy. A gene expression signature associated with aneuploidy was enriched for genes involved in cell cycle regulation, centrosome function, and DNA damage repair. One of these genes was PTEN, a tumor suppressor and genomic integrity guardian, which was down-regulated in association with increasing aneuploidy (P = 0.003). CONCLUSIONS: The relationship between aneuploidy and poor prognosis may be determined by specific, pathogenetically relevant chromosomal alterations, rather than overall aneuploidy. Such alterations can be identified using integrative genomic methods and may provide insights for novel therapeutic approaches.

Reversible anonymization of DICOM images using automatically generated policies.

Many real-world applications in the area of medical imaging like case study databases require separation of identifying (IDATA) and non-identifying (MDATA) data, specifically those offering Internet-based data access. These kinds of projects also must provide a role-based access system, controlling, how patient data must be organized and how it can be accessed. On DICOM image level, different image types support different kind of information, intermixing IDATA and MDATA in a single object. To separate them, it is possible to reversibly anonymize DICOM objects by substituting IDATA by a unique anonymous token. In case that later an authenticated user needs full access to an image, this token can be used for re-linking formerly separated IDATA and MDATA, thus resulting in a dynamically generated, exact copy of the original image. The approach described in this paper is based on the automatic generation of anonymization policies from the DICOM standard text, providing specific support for all kinds of DICOM images. The policies are executed by a newly developed framework based on the DICOM toolkit DCMTK and offer a reliable approach to reversible anonymization. The implementation is evaluated in a German BMBF-supported expert network in the area of skeletal dysplasias, SKELNET, but may generally be applicable to related projects, enormously improving quality and integrity of diagnostics in a field focused on images. It performs effectively and efficiently on real-world test images from the project and other kind of DICOM images.

The secreted kinase ROP17 promotes Toxoplasma gondii dissemination by hijacking monocyte tissue migration.

The protozoan parasite Toxoplasma gondii is thought to exploit monocyte trafficking to facilitate dissemination across endothelial barriers such as the blood-brain barrier. Here, we analysed the migration of parasitized monocytes in model endothelial and interstitial environments. We report that infection enhanced monocyte locomotion on the surface of endothelial cells, but profoundly inhibited monocyte transmigration across endothelial barriers. By contrast, infection robustly increased monocyte and macrophage migration through collagen-rich tissues in a Rho-ROCK-dependent manner consistent with integrin-independent interstitial migration. We further demonstrated that the secreted T. gondii protein kinase ROP17 was required for enhanced tissue migration. In vivo, ROP17-deficient parasites failed to upregulate monocyte tissue migration and exhibited an early dissemination delay, leading to prolonged mouse survival. Our findings indicate that the parasite-induced changes in monocyte motility primarily facilitate the transport of T. gondii through tissues and promote systemic dissemination, rather than shuttle parasites across the blood-brain barrier via extravasation.

Micro-RNAs associated with metastasis in uveal melanoma identified by multiplexed microarray profiling.

Uveal (ocular) melanoma is a highly aggressive cancer that leads to metastatic death in up to half of patients despite successful local therapy. Biomarkers of metastatic risk are critically needed to institute new adjuvant treatment strategies in high-risk patients. Previously, we showed that two prognostically significant molecular subtypes of uveal melanoma could be identified based on gene expression profiling of the primary tumor. In this study, we investigated the value of micro-RNA (miRNA) expression patterns in predicting metastatic risk. A genome-wide, microarray-based approach was used to screen for differentially expressed miRNAs using the Agilent miRNA microarray (Agilent Technologies, Foster City, California, USA) platform containing probes for 470 human miRNAs. Unsupervised analysis was performed using principal component analysis, and supervised analysis was performed using significance analysis of microarrays. Tumors readily clustered based on miRNA expression into two groups that corresponded to the gene expression-based subtypes: class 1 (low metastatic risk) and class 2 (high metastatic risk). The most significant discriminators were let-7b and miR-199a, and the expression of these miRNAs was validated by quantitative PCR. A classifier that included the top six miRNA discriminators accurately distinguished class 1 from class 2 tumors with 100% sensitivity and specificity. miRNA expression may represent a highly accurate biomarker for metastatic risk in uveal melanoma. In addition, these results may provide new insights into the role of miRNAs in tumor progression and the metastatic phenotype.

Prognostic biomarkers in uveal melanoma: evidence for a stem cell-like phenotype associated with metastasis.

Uveal melanomas frequently metastasize and cause patient death. Many clinical, histopathologic, molecular, and genetic factors have been linked to metastasis. We hypothesized that understanding the relationships between, and relative prognostic significance of these factors would provide new insights into the pathogenesis of metastasis. To this end, we collected clinical, pathologic, and molecular data for 65 uveal melanomas, including patient age, sex, tumor size, location, cell type, vasculogenic mimicry looping matrix patterns, gene expression profiles, and immunohistochemistry for cytokeratin-18, vascular endothelial cadherin, E-cadherin, beta-catenin, and hypoxia-inducible factor 1alpha. In addition, we used Gene Set Enrichment Analysis to identify statistically significant overlap in genes that were differentially expressed in metastasizing tumors and those expressed in other well-characterized biological systems. Our results show that the class 2 gene expression signature was the most accurate predictor of metastasis (P=0.0001) and that the biomarkers most strongly associated with the class 2 signature included epithelioid cell type, beta-catenin, E-cadherin, and hypoxia-inducible factor 1alpha (P< or =0.001 for each). Thus, the class 2 gene expression signature continues to be the most accurate predictor of uveal melanoma metastasis and can, therefore, serve as a benchmark for evaluating other biomarkers. Importantly, Gene Set Enrichment Analysis showed a significant association between genes expressed in class 2 tumors and those expressed in primitive ectodermal and neural stem cells. Taken together with the constellation of biomarkers associated with the class 2 signature, this suggests the presence of cancer cells with a primitive neural/ectodermal stem cell-like phenotype that may be responsible for metastasis in these highly aggressive tumors.

Loss of heterozygosity of chromosome 3 detected with single nucleotide polymorphisms is superior to monosomy 3 for predicting metastasis in uveal melanoma.

PURPOSE: Loss of chromosome 3 is strongly associated with metastasis in uveal melanoma and has been proposed as the basis for clinical prognostic testing. It is not known whether techniques that identify loss of heterozygosity for chromosome 3 predict metastasis more accurately than those that detect only numerical loss of chromosome 3 (monosomy 3). EXPERIMENTAL DESIGN: Fifty-three uveal melanomas were analyzed by 28 single nucleotide polymorphisms (SNP) across chromosome 3. SNP was compared with fluorescence in situ hybridization (FISH) and array-based comparative genomic hybridization (aCGH) for metastasis prediction by sensitivity, specificity, and Kaplan-Meier survival analysis, using our validated gene expression-based classifier as a reference standard. RESULTS: By Kaplan-Meier analysis, only the gene expression-based classifier (P=0.001) and SNP-based detection of loss of heterozygosity for chromosome 3 (P=0.04) were significantly associated with metastasis. Sensitivity and specificity were 95.2% and 80.8%, respectively, for SNP, 77.8% and 64.7%, respectively, for FISH, and 85.0% and 72.0%, respectively, for aCGH. Isodisomy 3 was identified by SNP but undetected by aCGH and FISH in three tumors. CONCLUSIONS: Prognostic tests based on SNP platforms, which detect both chromosomal homologues and their subregions, may be superior to techniques that only detect changes in chromosome number. These observations could have important implications for efforts to detect genetic alterations in cancer genomes with CGH-based approaches.

Transcriptomic versus chromosomal prognostic markers and clinical outcome in uveal melanoma.

PURPOSE: To compare a gene expression-based classifier versus the standard genetic prognostic marker, monosomy 3, for predicting metastasis in uveal melanoma. EXPERIMENTAL DESIGN: Gene expression profiling, fluorescence in situ hybridization (FISH), and array comparative genomic hybridization (aCGH) were done on 67 primary uveal melanomas. Clinical and pathologic prognostic factors were also assessed. Variables were analyzed by Cox proportional hazards, Kaplan-Meier analysis, sensitivity, specificity, positive and negative predictive value, and positive and negative likelihood ratios. RESULTS: The gene expression-based molecular classifier assigned 27 tumors to class 1 (low risk) and 25 tumors to class 2 (high risk). By Cox univariate proportional hazards, class 2 signature (P = 0.0001), advanced patient age (P = 0.01), and scleral invasion (P = 0.007) were the only variables significantly associated with metastasis. Only the class 2 signature was needed to optimize predictive accuracy in a Cox multivariate model. A less significant association with metastasis was observed for monosomy 3 detected by aCGH (P = 0.076) and FISH (P = 0.127). The sensitivity and specificity for the molecular classifier (84.6% and 92.9%, respectively) were superior to monosomy 3 detected by aCGH (58.3% and 85.7%, respectively) and FISH (50.0% and 72.7%, respectively). Positive and negative predictive values (91.7% and 86.7%, respectively) and positive and negative likelihood ratios (11.9 and 0.2, respectively) for the molecular classifier were also superior to those for monosomy 3. CONCLUSIONS: Molecular classification based on gene expression profiling of the primary tumor was superior to monosomy 3 and clinicopathologic prognostic factors for predicting metastasis in uveal melanoma.