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Systems analysis of barrier molecule and ARNT-related gene expression regulation in melanoma

Background: We have identified, in melanomas, a set of genes encoding proteins that mediate mechanical barrier function in normal skin (barrier molecule genes, BMGs) and whose overexpression is associated with decreased immune signatures and shorter patient survival. The most overexpressed of these,...

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Autores principales: Leick, Katie M., Obeid, Joseph M., Bekiranov, Stefan, Slingluff, Craig L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6844300/
https://www.ncbi.nlm.nih.gov/pubmed/31741768
http://dx.doi.org/10.1080/2162402X.2019.1665978
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author Leick, Katie M.
Obeid, Joseph M.
Bekiranov, Stefan
Slingluff, Craig L.
author_facet Leick, Katie M.
Obeid, Joseph M.
Bekiranov, Stefan
Slingluff, Craig L.
author_sort Leick, Katie M.
collection PubMed
description Background: We have identified, in melanomas, a set of genes encoding proteins that mediate mechanical barrier function in normal skin (barrier molecule genes, BMGs) and whose overexpression is associated with decreased immune signatures and shorter patient survival. The most overexpressed of these, filaggrin (FLG), is expressed on chromosome 1q21.3, which also encodes genes of the epidermal differentiation complex (EDC). EDC genes may be regulated by the transcription factors (TFs) AHR and ARNT. We hypothesized that ARNT-related genes would be expressed concordantly with BMG and EDC genes, inversely associated with immune signatures, and enhanced by 1q21.3 copy gain. Methods: Gene expression data from human melanomas in the Cancer Genome Atlas (TCGA), and a validation GEO dataset were evaluated, with copy number profiles from TCGA. Expression of Th1 immune genes and BMG/EDCs at 1q21.3 was visualized using clustered copy number and mRNA profiles. Associations of clusters and 1q21.3 copy number with patient survival and mRNA expression were assessed using Kaplan Meier curves, log-rank tests, and Wilcoxon rank sum tests. Results: BMGs are concordantly expressed with EDC genes. Clustering divided tumors into 4 categories: (1) Immune(HI), (2) BMG/EDC(HI), (3) ARNT(HI), (4) Mixed. Both ARNT(HI) and BMG/EDC(HI) tumors had low immune signatures and significantly shortened survival. KLF4 and FOXF2 are putative TFs that may regulate these genes. Conclusions: ARNT(HI) tumors may represent another subset of tumors, in addition to BMG/EDC(HI) tumors, with barriers to immune infiltrates, likely with different mechanisms. These genes have prognostic significance and may be relevant targets for future therapy.
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spelling pubmed-68443002019-11-18 Systems analysis of barrier molecule and ARNT-related gene expression regulation in melanoma Leick, Katie M. Obeid, Joseph M. Bekiranov, Stefan Slingluff, Craig L. Oncoimmunology Original Research Background: We have identified, in melanomas, a set of genes encoding proteins that mediate mechanical barrier function in normal skin (barrier molecule genes, BMGs) and whose overexpression is associated with decreased immune signatures and shorter patient survival. The most overexpressed of these, filaggrin (FLG), is expressed on chromosome 1q21.3, which also encodes genes of the epidermal differentiation complex (EDC). EDC genes may be regulated by the transcription factors (TFs) AHR and ARNT. We hypothesized that ARNT-related genes would be expressed concordantly with BMG and EDC genes, inversely associated with immune signatures, and enhanced by 1q21.3 copy gain. Methods: Gene expression data from human melanomas in the Cancer Genome Atlas (TCGA), and a validation GEO dataset were evaluated, with copy number profiles from TCGA. Expression of Th1 immune genes and BMG/EDCs at 1q21.3 was visualized using clustered copy number and mRNA profiles. Associations of clusters and 1q21.3 copy number with patient survival and mRNA expression were assessed using Kaplan Meier curves, log-rank tests, and Wilcoxon rank sum tests. Results: BMGs are concordantly expressed with EDC genes. Clustering divided tumors into 4 categories: (1) Immune(HI), (2) BMG/EDC(HI), (3) ARNT(HI), (4) Mixed. Both ARNT(HI) and BMG/EDC(HI) tumors had low immune signatures and significantly shortened survival. KLF4 and FOXF2 are putative TFs that may regulate these genes. Conclusions: ARNT(HI) tumors may represent another subset of tumors, in addition to BMG/EDC(HI) tumors, with barriers to immune infiltrates, likely with different mechanisms. These genes have prognostic significance and may be relevant targets for future therapy. Taylor & Francis 2019-09-24 /pmc/articles/PMC6844300/ /pubmed/31741768 http://dx.doi.org/10.1080/2162402X.2019.1665978 Text en © 2019 The Author(s). Published with license by Taylor & Francis Group, LLC. http://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 License (http://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 properly cited, and is not altered, transformed, or built upon in any way.
spellingShingle Original Research
Leick, Katie M.
Obeid, Joseph M.
Bekiranov, Stefan
Slingluff, Craig L.
Systems analysis of barrier molecule and ARNT-related gene expression regulation in melanoma
title Systems analysis of barrier molecule and ARNT-related gene expression regulation in melanoma
title_full Systems analysis of barrier molecule and ARNT-related gene expression regulation in melanoma
title_fullStr Systems analysis of barrier molecule and ARNT-related gene expression regulation in melanoma
title_full_unstemmed Systems analysis of barrier molecule and ARNT-related gene expression regulation in melanoma
title_short Systems analysis of barrier molecule and ARNT-related gene expression regulation in melanoma
title_sort systems analysis of barrier molecule and arnt-related gene expression regulation in melanoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6844300/
https://www.ncbi.nlm.nih.gov/pubmed/31741768
http://dx.doi.org/10.1080/2162402X.2019.1665978
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