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Analysis of mRNA expression differences in bladder cancer metastasis based on TCGA datasets
OBJECTIVE: To investigate the metastatic mechanism of muscle invasive bladder cancer (MIBC), which accounts for approximately 30% of all bladder cancer cases, and is a considerable medical problem with high metastatic and mortality rates. METHODS: The mRNA levels of patients with metastatic MIBC and...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020247/ https://www.ncbi.nlm.nih.gov/pubmed/33787386 http://dx.doi.org/10.1177/0300060521996929 |
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author | Liu, Sha Shi, Jiazhong Liu, Yuting Wang, Liwei Zhang, Jingqi Huang, Yaqin Chen, Zhiwen Yang, Jin |
author_facet | Liu, Sha Shi, Jiazhong Liu, Yuting Wang, Liwei Zhang, Jingqi Huang, Yaqin Chen, Zhiwen Yang, Jin |
author_sort | Liu, Sha |
collection | PubMed |
description | OBJECTIVE: To investigate the metastatic mechanism of muscle invasive bladder cancer (MIBC), which accounts for approximately 30% of all bladder cancer cases, and is a considerable medical problem with high metastatic and mortality rates. METHODS: The mRNA levels of patients with metastatic MIBC and nonmetastatic MIBC from The Cancer Genome Atlas dataset were compared. An integrated bioinformatics analysis was performed of the differentially expressed genes (DEGs), and analyses of Gene Ontology, Kyoto Encyclopaedia of Genes and Genomes pathway, protein-protein interaction, and survival were performed to investigate differences between metastatic and nonmetastatic MIBC. RESULTS: Data from 264 patients were included (131 with, and 133 without, metastasis). A total of 385 significantly DEGs were identified, including 209 upregulated genes and 176 downregulated genes. Based on results using the STRING database and the MCODE plugin of Cytoscape software, two clusters were obtained. Moreover, two genes were identified that may be valuable for prognostic analysis: Keratin 38, type I (KRT38) and Histone cluster 1, H3f (HIST1H3F). CONCLUSION: The KRT38 and HIST1H3F genes may be important in metastasis of MIBC. |
format | Online Article Text |
id | pubmed-8020247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-80202472021-04-16 Analysis of mRNA expression differences in bladder cancer metastasis based on TCGA datasets Liu, Sha Shi, Jiazhong Liu, Yuting Wang, Liwei Zhang, Jingqi Huang, Yaqin Chen, Zhiwen Yang, Jin J Int Med Res Pre-Clinical Research Report OBJECTIVE: To investigate the metastatic mechanism of muscle invasive bladder cancer (MIBC), which accounts for approximately 30% of all bladder cancer cases, and is a considerable medical problem with high metastatic and mortality rates. METHODS: The mRNA levels of patients with metastatic MIBC and nonmetastatic MIBC from The Cancer Genome Atlas dataset were compared. An integrated bioinformatics analysis was performed of the differentially expressed genes (DEGs), and analyses of Gene Ontology, Kyoto Encyclopaedia of Genes and Genomes pathway, protein-protein interaction, and survival were performed to investigate differences between metastatic and nonmetastatic MIBC. RESULTS: Data from 264 patients were included (131 with, and 133 without, metastasis). A total of 385 significantly DEGs were identified, including 209 upregulated genes and 176 downregulated genes. Based on results using the STRING database and the MCODE plugin of Cytoscape software, two clusters were obtained. Moreover, two genes were identified that may be valuable for prognostic analysis: Keratin 38, type I (KRT38) and Histone cluster 1, H3f (HIST1H3F). CONCLUSION: The KRT38 and HIST1H3F genes may be important in metastasis of MIBC. SAGE Publications 2021-03-31 /pmc/articles/PMC8020247/ /pubmed/33787386 http://dx.doi.org/10.1177/0300060521996929 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Pre-Clinical Research Report Liu, Sha Shi, Jiazhong Liu, Yuting Wang, Liwei Zhang, Jingqi Huang, Yaqin Chen, Zhiwen Yang, Jin Analysis of mRNA expression differences in bladder cancer metastasis based on TCGA datasets |
title | Analysis of mRNA expression differences in bladder cancer metastasis
based on TCGA datasets |
title_full | Analysis of mRNA expression differences in bladder cancer metastasis
based on TCGA datasets |
title_fullStr | Analysis of mRNA expression differences in bladder cancer metastasis
based on TCGA datasets |
title_full_unstemmed | Analysis of mRNA expression differences in bladder cancer metastasis
based on TCGA datasets |
title_short | Analysis of mRNA expression differences in bladder cancer metastasis
based on TCGA datasets |
title_sort | analysis of mrna expression differences in bladder cancer metastasis
based on tcga datasets |
topic | Pre-Clinical Research Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020247/ https://www.ncbi.nlm.nih.gov/pubmed/33787386 http://dx.doi.org/10.1177/0300060521996929 |
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