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326 Integrated Analysis of Genetic Databases Identifies miRNA Associated With Poor Survival In Melanoma
OBJECTIVES/GOALS: Despite advances in precision medicine and understanding of the molecular pathways, melanoma remains the deadliest skin cancer, warranting identification of novel biomarkers. In this study, we performed bioinformatic analysis of melanoma patient tumors to identify novel dysregulate...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209105/ http://dx.doi.org/10.1017/cts.2022.183 |
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author | McCallister, Reid Subramanian, Chitra Mantena, Nikhil Cohen, Mark |
author_facet | McCallister, Reid Subramanian, Chitra Mantena, Nikhil Cohen, Mark |
author_sort | McCallister, Reid |
collection | PubMed |
description | OBJECTIVES/GOALS: Despite advances in precision medicine and understanding of the molecular pathways, melanoma remains the deadliest skin cancer, warranting identification of novel biomarkers. In this study, we performed bioinformatic analysis of melanoma patient tumors to identify novel dysregulated gene and micro-RNA (miRNA) targets responsible for survival. METHODS/STUDY POPULATION: Genetic sequencing data for 594 patient samples of melanoma and normal skin tissue from 10 databases were accessed using the NCBI Gene Expression Omnibus. Genes and miRNA that were significantly dysregulated (adjusted p-value < 0.05, log fold change > ± 2) in melanoma compared to normal skin were identified using the GEO2R program. Dataset expression profiles were cross-referenced to identify genetic elements dysregulated in at least 50% of datasets and filtered for association with poor survival using R2 Genomics Analysis and Visualization Platform. DAVID 6.8 provided pathway analysis of dysregulated genes. miRTarBase linked genes associated with poor survival and dysregulated miRNA from our database analysis. RESULTS/ANTICIPATED RESULTS: Bioinformatic analysis revealed consistent differential regulation of 205 genes (down=177 and up=28) and 38 miRNA across datasets with fold change >2 (bonf. p<0.05). Pathway analysis indicated that PPAR, phosphatidylinositol signaling, Rap1 signaling, and p53 signaling pathways were enriched by downregulated genes while the NF-kB pathway was enriched up regulated genes. Survival analysis of the differentially regulated genes identified 11 downregulated (ACSL1, CEBPA, CES4A, CRIP1, GATA3, HLADQB2, PTGS1, PYCARD, PPARG, PKP3, RSSF6) and 3 upregulated (DUXAP10, SLC2A3 and PRAME) hub genes to be associated with poor overall survival. Out of the 13 miRNA associated with hub genes, five miRNA (hsa-miR-125b-5p, hsa-miR-130b-3p, hsa-miR-26n-5p, hsa-miR-30b, hsa-miR-30c) were linked to multiple hub genes. DISCUSSION/SIGNIFICANCE: Our analysis identified 14 hub genes (regulators of PPARA, adipocyte differentiation, and transcriptional pathways) as well as miRNAs hsa-miR-30c (regulator of PTGS1 and SLC2A3) and hsa-let-7i-5p (regulator of ASCL1) as potential therapeutic targets. Further studies for validation of the targets are needed for clinical translation in melanoma. |
format | Online Article Text |
id | pubmed-9209105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92091052022-07-01 326 Integrated Analysis of Genetic Databases Identifies miRNA Associated With Poor Survival In Melanoma McCallister, Reid Subramanian, Chitra Mantena, Nikhil Cohen, Mark J Clin Transl Sci Valued Approaches OBJECTIVES/GOALS: Despite advances in precision medicine and understanding of the molecular pathways, melanoma remains the deadliest skin cancer, warranting identification of novel biomarkers. In this study, we performed bioinformatic analysis of melanoma patient tumors to identify novel dysregulated gene and micro-RNA (miRNA) targets responsible for survival. METHODS/STUDY POPULATION: Genetic sequencing data for 594 patient samples of melanoma and normal skin tissue from 10 databases were accessed using the NCBI Gene Expression Omnibus. Genes and miRNA that were significantly dysregulated (adjusted p-value < 0.05, log fold change > ± 2) in melanoma compared to normal skin were identified using the GEO2R program. Dataset expression profiles were cross-referenced to identify genetic elements dysregulated in at least 50% of datasets and filtered for association with poor survival using R2 Genomics Analysis and Visualization Platform. DAVID 6.8 provided pathway analysis of dysregulated genes. miRTarBase linked genes associated with poor survival and dysregulated miRNA from our database analysis. RESULTS/ANTICIPATED RESULTS: Bioinformatic analysis revealed consistent differential regulation of 205 genes (down=177 and up=28) and 38 miRNA across datasets with fold change >2 (bonf. p<0.05). Pathway analysis indicated that PPAR, phosphatidylinositol signaling, Rap1 signaling, and p53 signaling pathways were enriched by downregulated genes while the NF-kB pathway was enriched up regulated genes. Survival analysis of the differentially regulated genes identified 11 downregulated (ACSL1, CEBPA, CES4A, CRIP1, GATA3, HLADQB2, PTGS1, PYCARD, PPARG, PKP3, RSSF6) and 3 upregulated (DUXAP10, SLC2A3 and PRAME) hub genes to be associated with poor overall survival. Out of the 13 miRNA associated with hub genes, five miRNA (hsa-miR-125b-5p, hsa-miR-130b-3p, hsa-miR-26n-5p, hsa-miR-30b, hsa-miR-30c) were linked to multiple hub genes. DISCUSSION/SIGNIFICANCE: Our analysis identified 14 hub genes (regulators of PPARA, adipocyte differentiation, and transcriptional pathways) as well as miRNAs hsa-miR-30c (regulator of PTGS1 and SLC2A3) and hsa-let-7i-5p (regulator of ASCL1) as potential therapeutic targets. Further studies for validation of the targets are needed for clinical translation in melanoma. Cambridge University Press 2022-04-19 /pmc/articles/PMC9209105/ http://dx.doi.org/10.1017/cts.2022.183 Text en © The Association for Clinical and Translational Science 2022 https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. |
spellingShingle | Valued Approaches McCallister, Reid Subramanian, Chitra Mantena, Nikhil Cohen, Mark 326 Integrated Analysis of Genetic Databases Identifies miRNA Associated With Poor Survival In Melanoma |
title | 326 Integrated Analysis of Genetic Databases Identifies miRNA Associated With Poor Survival In Melanoma |
title_full | 326 Integrated Analysis of Genetic Databases Identifies miRNA Associated With Poor Survival In Melanoma |
title_fullStr | 326 Integrated Analysis of Genetic Databases Identifies miRNA Associated With Poor Survival In Melanoma |
title_full_unstemmed | 326 Integrated Analysis of Genetic Databases Identifies miRNA Associated With Poor Survival In Melanoma |
title_short | 326 Integrated Analysis of Genetic Databases Identifies miRNA Associated With Poor Survival In Melanoma |
title_sort | 326 integrated analysis of genetic databases identifies mirna associated with poor survival in melanoma |
topic | Valued Approaches |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209105/ http://dx.doi.org/10.1017/cts.2022.183 |
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