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Multi-omics analysis reveals the genetics and immune landscape of dexamethasone responsive genes in cancer microenvironment

BACKGROUND: Glucocorticoids, such as dexamethasone, are widely used for prevent vomiting and allergic reactions associated with cancer immunotherapy and chemotherapy. Although such use is reported to reduce the immunotherapy’s efficacy, nevertheless, how dexamethasone associates with specific immune...

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Autores principales: Shen, Yu, Wu, Ying C., Gu, Lixiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723561/
https://www.ncbi.nlm.nih.gov/pubmed/33313161
http://dx.doi.org/10.21037/atm-20-3650
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author Shen, Yu
Wu, Ying C.
Gu, Lixiong
author_facet Shen, Yu
Wu, Ying C.
Gu, Lixiong
author_sort Shen, Yu
collection PubMed
description BACKGROUND: Glucocorticoids, such as dexamethasone, are widely used for prevent vomiting and allergic reactions associated with cancer immunotherapy and chemotherapy. Although such use is reported to reduce the immunotherapy’s efficacy, nevertheless, how dexamethasone associates with specific immune cells, particularly inside the tumor microenvironment, still remains unclear. METHODS: We integrate multi-omics data, including transcriptome, mutation, copy number variation (CNV), and methylation, to explore the dexamethasone responsive genes. RESULTS: We surprisingly found that dexamethasone responsive genes are transcriptionally down-regulated in general, where heterozygous deletion underlie such dysregulation. We further perform the pathway analysis and demonstrate that such dysregulation associates with cancer hallmarks such as epithelial-to-mesenchymal transformation (EMT) activation. Next, by performing the drug sensitivity analysis, we generate a list of drugs whose efficacy potentially associates with dexamethasone response, including Methotrexate and Navitoclax. Unexpectedly, in the cancer microenvironment, dexamethasone response score positively correlates with a subset of innate immune cells. This indicates that dexamethasone potentially correlated with anti-cancer immunity in the cancer microenvironment which may be on the contrary to its systemic effect. CONCLUSIONS: Our systems-level analysis define the landscape of dexamethasone responsive genes in cancers and may serve as a useful resource for understanding the roles of dexamethasone in cancer.
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spelling pubmed-77235612020-12-10 Multi-omics analysis reveals the genetics and immune landscape of dexamethasone responsive genes in cancer microenvironment Shen, Yu Wu, Ying C. Gu, Lixiong Ann Transl Med Original Article BACKGROUND: Glucocorticoids, such as dexamethasone, are widely used for prevent vomiting and allergic reactions associated with cancer immunotherapy and chemotherapy. Although such use is reported to reduce the immunotherapy’s efficacy, nevertheless, how dexamethasone associates with specific immune cells, particularly inside the tumor microenvironment, still remains unclear. METHODS: We integrate multi-omics data, including transcriptome, mutation, copy number variation (CNV), and methylation, to explore the dexamethasone responsive genes. RESULTS: We surprisingly found that dexamethasone responsive genes are transcriptionally down-regulated in general, where heterozygous deletion underlie such dysregulation. We further perform the pathway analysis and demonstrate that such dysregulation associates with cancer hallmarks such as epithelial-to-mesenchymal transformation (EMT) activation. Next, by performing the drug sensitivity analysis, we generate a list of drugs whose efficacy potentially associates with dexamethasone response, including Methotrexate and Navitoclax. Unexpectedly, in the cancer microenvironment, dexamethasone response score positively correlates with a subset of innate immune cells. This indicates that dexamethasone potentially correlated with anti-cancer immunity in the cancer microenvironment which may be on the contrary to its systemic effect. CONCLUSIONS: Our systems-level analysis define the landscape of dexamethasone responsive genes in cancers and may serve as a useful resource for understanding the roles of dexamethasone in cancer. AME Publishing Company 2020-11 /pmc/articles/PMC7723561/ /pubmed/33313161 http://dx.doi.org/10.21037/atm-20-3650 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Shen, Yu
Wu, Ying C.
Gu, Lixiong
Multi-omics analysis reveals the genetics and immune landscape of dexamethasone responsive genes in cancer microenvironment
title Multi-omics analysis reveals the genetics and immune landscape of dexamethasone responsive genes in cancer microenvironment
title_full Multi-omics analysis reveals the genetics and immune landscape of dexamethasone responsive genes in cancer microenvironment
title_fullStr Multi-omics analysis reveals the genetics and immune landscape of dexamethasone responsive genes in cancer microenvironment
title_full_unstemmed Multi-omics analysis reveals the genetics and immune landscape of dexamethasone responsive genes in cancer microenvironment
title_short Multi-omics analysis reveals the genetics and immune landscape of dexamethasone responsive genes in cancer microenvironment
title_sort multi-omics analysis reveals the genetics and immune landscape of dexamethasone responsive genes in cancer microenvironment
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723561/
https://www.ncbi.nlm.nih.gov/pubmed/33313161
http://dx.doi.org/10.21037/atm-20-3650
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