Cargando…
Screening of immunotherapy-related genes in bladder cancer based on GEO datasets
BACKGROUND: As one of the most prevalent genitourinary cancers, bladder cancer (BLCA) is associated with high morbidity and mortality. Currently, limited indicators are available for early detection and diagnosis of bladder cancer, and there is a lack of specific biomarkers for evaluating the progno...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232963/ https://www.ncbi.nlm.nih.gov/pubmed/37274283 http://dx.doi.org/10.3389/fonc.2023.1176637 |
_version_ | 1785052121249349632 |
---|---|
author | Liu, Xiaolong Li, Xinxin Kuang, Qihui Luo, Hongbo |
author_facet | Liu, Xiaolong Li, Xinxin Kuang, Qihui Luo, Hongbo |
author_sort | Liu, Xiaolong |
collection | PubMed |
description | BACKGROUND: As one of the most prevalent genitourinary cancers, bladder cancer (BLCA) is associated with high morbidity and mortality. Currently, limited indicators are available for early detection and diagnosis of bladder cancer, and there is a lack of specific biomarkers for evaluating the prognosis of BLCA patients. This study aims to identify critical genes that affect bladder cancer immunity to improve the diagnosis and prognosis of bladder cancer and to identify new biomarkers and targets for immunotherapy. METHODS: Two GEO datasets were used to screen differentially expressed genes (DEGs). The STRING database was used to construct a protein-protein interaction network of DEGs, and plug-in APP CytoHubba in Cytoscape was used to identify critical genes in the network. GO and KEGG analyses explored the functions and pathways of differential gene enrichment. We used GEPIA to validate the expression of differential genes, their impact on patient survival, and their relationship to clinicopathological parameters. Additionally, hub genes were verified using qRT-PCR and Western blotting. Immune infiltration analysis and multiple immunohistochemistry reveal the impact of Hub genes on the tumor microenvironment. RESULT: We screened out 259 differential genes, and identified 10 key hub genes by the degree algorithm. Four genes (ACTA2, FLNA, TAGLN, and TPM1) were associated with overall or disease-free survival in BLCA patients and were significantly associated with clinical parameters. We experimentally confirmed that the mRNA and protein levels of these four genes were significantly decreased in bladder cancer cells. Immunoassays revealed that these four genes affect immune cell infiltration in the tumor microenvironment; they increased the polarization of M2 macrophages. CONCLUSION: These four genes affect the tumor microenvironment of bladder cancer, provide a new direction for tumor immunotherapy, and have significant potential in the diagnosis and prognosis of bladder cancer. |
format | Online Article Text |
id | pubmed-10232963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102329632023-06-02 Screening of immunotherapy-related genes in bladder cancer based on GEO datasets Liu, Xiaolong Li, Xinxin Kuang, Qihui Luo, Hongbo Front Oncol Oncology BACKGROUND: As one of the most prevalent genitourinary cancers, bladder cancer (BLCA) is associated with high morbidity and mortality. Currently, limited indicators are available for early detection and diagnosis of bladder cancer, and there is a lack of specific biomarkers for evaluating the prognosis of BLCA patients. This study aims to identify critical genes that affect bladder cancer immunity to improve the diagnosis and prognosis of bladder cancer and to identify new biomarkers and targets for immunotherapy. METHODS: Two GEO datasets were used to screen differentially expressed genes (DEGs). The STRING database was used to construct a protein-protein interaction network of DEGs, and plug-in APP CytoHubba in Cytoscape was used to identify critical genes in the network. GO and KEGG analyses explored the functions and pathways of differential gene enrichment. We used GEPIA to validate the expression of differential genes, their impact on patient survival, and their relationship to clinicopathological parameters. Additionally, hub genes were verified using qRT-PCR and Western blotting. Immune infiltration analysis and multiple immunohistochemistry reveal the impact of Hub genes on the tumor microenvironment. RESULT: We screened out 259 differential genes, and identified 10 key hub genes by the degree algorithm. Four genes (ACTA2, FLNA, TAGLN, and TPM1) were associated with overall or disease-free survival in BLCA patients and were significantly associated with clinical parameters. We experimentally confirmed that the mRNA and protein levels of these four genes were significantly decreased in bladder cancer cells. Immunoassays revealed that these four genes affect immune cell infiltration in the tumor microenvironment; they increased the polarization of M2 macrophages. CONCLUSION: These four genes affect the tumor microenvironment of bladder cancer, provide a new direction for tumor immunotherapy, and have significant potential in the diagnosis and prognosis of bladder cancer. Frontiers Media S.A. 2023-05-18 /pmc/articles/PMC10232963/ /pubmed/37274283 http://dx.doi.org/10.3389/fonc.2023.1176637 Text en Copyright © 2023 Liu, Li, Kuang and Luo https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Liu, Xiaolong Li, Xinxin Kuang, Qihui Luo, Hongbo Screening of immunotherapy-related genes in bladder cancer based on GEO datasets |
title | Screening of immunotherapy-related genes in bladder cancer based on GEO datasets |
title_full | Screening of immunotherapy-related genes in bladder cancer based on GEO datasets |
title_fullStr | Screening of immunotherapy-related genes in bladder cancer based on GEO datasets |
title_full_unstemmed | Screening of immunotherapy-related genes in bladder cancer based on GEO datasets |
title_short | Screening of immunotherapy-related genes in bladder cancer based on GEO datasets |
title_sort | screening of immunotherapy-related genes in bladder cancer based on geo datasets |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232963/ https://www.ncbi.nlm.nih.gov/pubmed/37274283 http://dx.doi.org/10.3389/fonc.2023.1176637 |
work_keys_str_mv | AT liuxiaolong screeningofimmunotherapyrelatedgenesinbladdercancerbasedongeodatasets AT lixinxin screeningofimmunotherapyrelatedgenesinbladdercancerbasedongeodatasets AT kuangqihui screeningofimmunotherapyrelatedgenesinbladdercancerbasedongeodatasets AT luohongbo screeningofimmunotherapyrelatedgenesinbladdercancerbasedongeodatasets |