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Data on inflammasome gene polymorphisms of patients with sporadic malignant melanoma in a Brazilian cohort.

ABSTRACT: This article presents data related to our another article entitled, Genotyping and differential expression analysis of inflammasome genes in sporadic malignant melanoma reveal novel contribution of CARD8, IL1B and IL18 in melanoma susceptibility and progression (W.C. Silva, T.M. Oshiro, D.C. Sá, D.D.G.S. Franco, C. Festa Neto, A. Pontillo, 2016) [2]. Data presented here refers to the distribution of selected inflammasome SNPs in a Brazilian case/control cohort. We have identified 4 inflammasome related Single Nucleotide Polymorphisms (SNPs) for CARD8 (rs6509365); IL1B (rs1143643) and IL18 (rs5744256 and rs1834481) related to melanoma susceptibility/protection. This data can serve as a potential prognostic marker in sporadic malignant melanoma.

SUBMITTER: Silva WC

PROVIDER: S-EPMC5137326 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

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Data on inflammasome gene polymorphisms of patients with sporadic malignant melanoma in a Brazilian cohort.

Silva Wanessa Cardoso da WC Oshiro Telma M TM de Sá Daniel Coelho DC Franco Dilcilea D G S DD Festa Neto Cyro C Pontillo Alessandra A

Data in brief 20161124

This article presents data related to our another article entitled, <b>Genotyping and differential expression analysis of inflammasome genes in sporadic malignant melanoma reveal novel contribution of CARD8, IL1B and IL18 in melanoma susceptibility and progression (</b>W.C. Silva, T.M. Oshiro, D.C. Sá, D.D.G.S. Franco, C. Festa Neto, A. Pontillo<b>,</b> 2016) [2]. Data presented here refers to the distribution of selected inflammasome SNPs in a Brazilian case/control cohort. We have identified 4 ...[more]

PMID: 27942564

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Project description:Background:Melanoma is defined as a highly mutational heterogeneous disease containing numerous alternations of the molecule. However, due to the phenotypically and genetically heterogeneity of malignant melanoma, conventional clinical characteristics remain restricted or limited in the ability to accurately predict individual outcomes and survival. This study aimed to establish an accurate gene expression signature to predict melanoma prognosis. Methods:In this study, we established an RNA sequencing-based 12-gene signature data of melanoma patients obtained from 2 independent databases: the Cancer Genome Atlas (TCGA) database and the Gene Expression Omnibus (GEO) database. We evaluated the quality of each gene to predict survival conditions in each database by employing univariate and multivariate regression models. A prognostic risk score based on a prognostic signature was determined. This prognostic gene signature further classified patients into low-risk and high-risk groups. Results:Based on a prognostic signature, a prognostic risk score was determined. This prognostic gene signature further divided the patients into low-risk and high-risk groups. In the chemotherapy and radiotherapy groups of the TCGA cohort and V-raf murine sarcoma viral oncogene homolog B1 (BRAF) expression group in the GEO cohort, patients in the low-risk group had a longer survival duration compared to patients in the high-risk group. Nevertheless, the immunotherapy group in the TCGA database and neuroblastoma RAS viral oncogene homolog (NRAS) expression group in the GEO database had no significant differences in statistics. Moreover, this gene signature was associated with patient prognosis regardless of whether the Breslow depth was greater than or less than 3.75 mm. Stratified gene set enrichment analysis (GSEA) revealed that certain immune-related pathways, such as the T-cell signaling pathway, chemokine signaling pathway, and primary immunodeficiency, were significantly enriched in the low-risk group of both TCGA and GEO cohorts. This information implied the immune-related properties of the 12-gene signature. Conclusions:Our study emphasizes the significance of the gene expression signature in that it may be an indispensable prognostic predictor in melanoma and has great potential for application in personalized treatment.

Dataset Information

Data on inflammasome gene polymorphisms of patients with sporadic malignant melanoma in a Brazilian cohort.

Publications

Data on inflammasome gene polymorphisms of patients with sporadic malignant melanoma in a Brazilian cohort.

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