A Digital mRNA Expression Signature to Classify Challenging Spitzoid Melanocytic Neoplasms
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PROVIDER: PRJNA579272 | ENA |
REPOSITORIES: ENA
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Project description:Spitzoid neoplasms are a challenging group of cutaneous melanocytic proliferations that occur in children or adolescents but can also arise in the elderly. They are characterized by epithelioid and/ or spindle-shaped melanocytes with a stromal background of variable amounts of lymphocytes, blood vessels and sclerosis. According to the WHO 2018 classification, Spitzoid melanocytic lesions are classified as benign Spitz nevi (SN), atypical Spitz tumors (AST) or malignant Spitz tumors (MST). The intermediate AST category represents a diagnostically challenging group since on purely histopathological grounds, their benign or malignant character remains unpredictable. This results in uncertainties in patient management and prognosis. The molecular properties of Spitzoid lesions, especially their transcriptomic landscape, remain poorly understood and genomic alterations in melanoma-associated oncogenes are typically absent. The aim of this study was to characterize the transcriptome of Spitzoid melanocytic neoplasms with digital mRNA expression profiling. Formalin-fixed-paraffin-embedded samples (including 27 SN, 10 AST and 14 MST) were analyzed using the RNA NanoString nCounter PanCancer Pathways Gene Expression panel. The number of significantly differentially expressed genes in SN vs. MST, SN vs. AST and AST vs. MST was 68, 167 and 18, respectively. Gene set enrichment analysis revealed an upregulation of pathways related to epithelial mesenchymal transition, immunomodulatory-, angiogenesis- as well as myogenesis associated processes in AST and MST. In addition, a specific gene expression signature of SN vs. MST was discovered based on the top-ranked six most informative gene expression markers: NRAS, NF1, BMP2, EIF2B4, IFNA17 and FZD9. The AST samples showed intermediate levels of the identified signature. This implies that the identified gene expression signature can potentially be used to distinguish high-grade from low-grade AST. This combined histopathological and transcriptomic methodology is promising for diagnostics of Spitzoid neoplasms and patient management in dermatological oncology in the future.
2019-10-25 | GSE139314 | GEO
Project description:Spitzoid neoplasms are a challenging group of cutaneous melanocytic proliferations. They are characterized by epithelioid and/or spindle-shaped melanocytes and classified as benign Spitz nevi (SN), atypical Spitz tumors (AST), or malignant Spitz tumors (MST). The intermediate AST category represents a diagnostically challenging group since on purely histopathological grounds, their benign or malignant character remains unpredictable. This results in uncertainties in patient treatment and prognosis. The molecular properties of Spitzoid lesions, especially their transcriptomic landscape, remain poorly understood, and genomic alterations in melanoma-associated oncogenes are typically absent. The aim of this study was to characterize their transcriptome with digital mRNA expression profiling. Formalin-fixed paraffin-embedded samples (including 27 SN, 10 AST, and 14 MST) were analyzed using the NanoString nCounter PanCancer Pathways Panel. The number of significantly differentially expressed genes in SN vs. MST, SN vs. AST, and AST vs. MST was 68, 167, and 18, respectively. Gene set enrichment analysis revealed upregulation of pathways related to epithelial-mesenchymal transition and immunomodulatory-, angiogenesis-, hormonal-, and myogenesis-associated processes in AST and MST. A molecular signature of SN vs. MST was discovered based on the top-ranked most informative genes: NRAS, NF1, BMP2, EIF2B4, IFNA17, and FZD9. The AST samples showed intermediate levels of the identified signature. This implies that the gene signature can potentially be used to distinguish high-grade from low-grade AST with a larger study cohort in the future. This combined histopathological and transcriptomic methodology is promising for prospective diagnostics of Spitzoid neoplasms and patient management in dermatological oncology.
| S-EPMC7327909 | biostudies-literature
Project description:Genomic analysis of melanocytic neoplasms
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Project description:Genomic analysis of melanocytic neoplasms
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Project description:Genetic lesions characteristic for RCC subtypes can be identified by virtual karyotyping with SNP microarrays. In this study, we examined whether virtual karyotypes could be used to better classify a cohort of morphologically challenging/unclassified RCC.
2009-03-13 | GSE14670 | GEO
Project description:In our clinical practice, we perform genome-wide high-resolution SNP-array analysis as an adjunct to the histopathologic diagnosis for diagnostically challenging melanocytic tumors. The concept of using array-based DNA copy number analysis to screen for gene fusions associated with unbalanced genomic aberrations flanking the fusion points was applied in the diagnostic setting, and intragenic copy number changes involving common receptor kinase genes are typically further analyzed and, if necessary, studied by alternative methods. Here we present the discovery of recurrent NTRK3 gene rearrangements in childhood melanocytic neoplasms based on genome-wide high-resolution SNP-array analysis.
2017-02-01 | GSE90644 | GEO
Project description:Genetic lesions characteristic for RCC subtypes can be identified by virtual karyotyping with SNP microarrays. In this study, we examined whether virtual karyotypes could be used to better classify a cohort of morphologically challenging/unclassified RCC. Tumor resection specimens from 17 patients were profiled by virtual karyotyping with Affymetrix 10K 2.0 or 250K Nsp SNP Mapping arrays and were also evaluated independently by a panel of seven genito-urinary pathologists. Tumors were classified by the established pattern of genomic imbalances based on a reference cohort of 98 cases with classic morphology and compared to the morphologic diagnosis of the pathologist panel. In 3 cases, samples from areas with different morphologic appearance were also tested (n=5).
2009-03-13 | E-GEOD-14670 | biostudies-arrayexpress
Project description:Renal tumors with complex morphology require extensive workup for accurate classification. Chromosomal aberrations that define subtypes of renal epithelial neoplasms have been reported. We explored if whole-genome chromosome copy number and loss-of-heterozygosity analysis with single nucleotide polymorphism (SNP) arrays can be used to identify these aberrations in cases where morphology was unable to definitively classify these tumors. Keywords: Chromosome copy number and LOH analysis (virtual karyotyping) with SNP Genotyping Arrays Keywords: Genome variation profiling by SNP array
2008-11-01 | GSE11447 | GEO
Project description:Renal tumors with complex morphology require extensive workup for accurate classification. Chromosomal aberrations that define subtypes of renal epithelial neoplasms have been reported. We explored if whole-genome chromosome copy number and loss-of-heterozygosity analysis with single nucleotide polymorphism (SNP) arrays can be used to identify these aberrations in cases where morphology was unable to definitively classify these tumors. Experiment Overall Design: We analyzed 50 paraffin-embedded tissues representing tumors with classic morphology from clear cell renal cell carcinoma (RCC), papillary RCC, chromophobe RCC, and oncocytoma with Affymetrix GeneChip 10K 2.0 Mapping arrays. We then analyzed 25 tumors that could not be classified by morphology and classified them based on the presence of defining chromosomal anomalies identified in the "classic" cohort.
2008-11-13 | E-GEOD-11447 | biostudies-arrayexpress
Project description:Challenging bovine foot skin fibroblasts with digital dermatitis treponemes: effects on global gene expression
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