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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...

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Autores principales: Liu, Sha, Shi, Jiazhong, Liu, Yuting, Wang, Liwei, Zhang, Jingqi, Huang, Yaqin, Chen, Zhiwen, Yang, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
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.
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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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