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Cuproptosis-related gene SLC31A1 expression correlates with the prognosis and tumor immune microenvironment in glioma

Cuproptosis is a newly discovered form of cell death. It is regulated by a string of genes. The genes are identified to influence the tumor progression, but in glioma, the cuproptosis-related genes are little studied. The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) were used...

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Autores principales: Wang, Jun, Li, Shenglun, Guo, Yuduo, Zhao, Chao, Chen, Yujia, Ning, Weihai, Yang, Jingjing, Zhang, Hongwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447603/
https://www.ncbi.nlm.nih.gov/pubmed/37610668
http://dx.doi.org/10.1007/s10142-023-01210-0
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author Wang, Jun
Li, Shenglun
Guo, Yuduo
Zhao, Chao
Chen, Yujia
Ning, Weihai
Yang, Jingjing
Zhang, Hongwei
author_facet Wang, Jun
Li, Shenglun
Guo, Yuduo
Zhao, Chao
Chen, Yujia
Ning, Weihai
Yang, Jingjing
Zhang, Hongwei
author_sort Wang, Jun
collection PubMed
description Cuproptosis is a newly discovered form of cell death. It is regulated by a string of genes. The genes are identified to influence the tumor progression, but in glioma, the cuproptosis-related genes are little studied. The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) were used to screen for SLC31A1 gene expression in glioma and healthy tissue samples. The results were validated using the Gene Expression Omnibus (GEO) and quantitative real-time polymerase chain reaction (qPCR). The Human Protein Atlas (HPA) and the National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) were used to validate our results at the protein level. Multivariable analysis and Kaplan–Meier survival curves were used to examine the relationship among SLC31A1 gene expression, clinical parameters, and survival rates. The online Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) was used to find the genes and proteins that correlate to SLC31A1. The immune infiltration analysis was performed using the Tumor Immune Estimation Resource (TIMER) databases. Small interfering RNA was used to knock down the SLC31A1 expression, and the cell proliferation, apoptosis, and migration were analyzed using cell counting kit-8, flow cytometry, and transwell. The glioma patients have higher SLC31A1 expression levels, which increase as the World Health Organization (WHO) grade escalates. The survival analysis illustrates that the SLC31A1 gene expression negatively correlates with overall survival (OS), progression-free survival (PFS), and disease-specific survival (DSS). The immune infiltration analysis shows the SLC31A1 gene positively correlates with T helper 2 (Th2) cells, macrophages, and M2-type macrophages and negatively correlates with plasmacytoid dendritic cells (pDCs), natural killer (NK) CD56bright cells, and CD8 T cells. The in vitro KD experiment shows the SLC31A1 knockdown depressed the glioma cell proliferation and migration and promoted the apoptosis rate. The SLC31A1 gene expression can shorten the survival time of glioma patients. In vitro study shows that SLC31A1 can promote cell proliferation, and migration, and depress the cell apoptosis of glioma cells. It also can promote the formation of a tumor-suppressive microenvironment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10142-023-01210-0.
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spelling pubmed-104476032023-08-25 Cuproptosis-related gene SLC31A1 expression correlates with the prognosis and tumor immune microenvironment in glioma Wang, Jun Li, Shenglun Guo, Yuduo Zhao, Chao Chen, Yujia Ning, Weihai Yang, Jingjing Zhang, Hongwei Funct Integr Genomics Original Article Cuproptosis is a newly discovered form of cell death. It is regulated by a string of genes. The genes are identified to influence the tumor progression, but in glioma, the cuproptosis-related genes are little studied. The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) were used to screen for SLC31A1 gene expression in glioma and healthy tissue samples. The results were validated using the Gene Expression Omnibus (GEO) and quantitative real-time polymerase chain reaction (qPCR). The Human Protein Atlas (HPA) and the National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) were used to validate our results at the protein level. Multivariable analysis and Kaplan–Meier survival curves were used to examine the relationship among SLC31A1 gene expression, clinical parameters, and survival rates. The online Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) was used to find the genes and proteins that correlate to SLC31A1. The immune infiltration analysis was performed using the Tumor Immune Estimation Resource (TIMER) databases. Small interfering RNA was used to knock down the SLC31A1 expression, and the cell proliferation, apoptosis, and migration were analyzed using cell counting kit-8, flow cytometry, and transwell. The glioma patients have higher SLC31A1 expression levels, which increase as the World Health Organization (WHO) grade escalates. The survival analysis illustrates that the SLC31A1 gene expression negatively correlates with overall survival (OS), progression-free survival (PFS), and disease-specific survival (DSS). The immune infiltration analysis shows the SLC31A1 gene positively correlates with T helper 2 (Th2) cells, macrophages, and M2-type macrophages and negatively correlates with plasmacytoid dendritic cells (pDCs), natural killer (NK) CD56bright cells, and CD8 T cells. The in vitro KD experiment shows the SLC31A1 knockdown depressed the glioma cell proliferation and migration and promoted the apoptosis rate. The SLC31A1 gene expression can shorten the survival time of glioma patients. In vitro study shows that SLC31A1 can promote cell proliferation, and migration, and depress the cell apoptosis of glioma cells. It also can promote the formation of a tumor-suppressive microenvironment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10142-023-01210-0. Springer Berlin Heidelberg 2023-08-23 2023 /pmc/articles/PMC10447603/ /pubmed/37610668 http://dx.doi.org/10.1007/s10142-023-01210-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Wang, Jun
Li, Shenglun
Guo, Yuduo
Zhao, Chao
Chen, Yujia
Ning, Weihai
Yang, Jingjing
Zhang, Hongwei
Cuproptosis-related gene SLC31A1 expression correlates with the prognosis and tumor immune microenvironment in glioma
title Cuproptosis-related gene SLC31A1 expression correlates with the prognosis and tumor immune microenvironment in glioma
title_full Cuproptosis-related gene SLC31A1 expression correlates with the prognosis and tumor immune microenvironment in glioma
title_fullStr Cuproptosis-related gene SLC31A1 expression correlates with the prognosis and tumor immune microenvironment in glioma
title_full_unstemmed Cuproptosis-related gene SLC31A1 expression correlates with the prognosis and tumor immune microenvironment in glioma
title_short Cuproptosis-related gene SLC31A1 expression correlates with the prognosis and tumor immune microenvironment in glioma
title_sort cuproptosis-related gene slc31a1 expression correlates with the prognosis and tumor immune microenvironment in glioma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447603/
https://www.ncbi.nlm.nih.gov/pubmed/37610668
http://dx.doi.org/10.1007/s10142-023-01210-0
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