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Significance of TP53 mutation in bladder cancer disease progression and drug selection
BACKGROUND: The tumor protein p53 (TP53) mutant is one of the most frequent mutant genes in bladder cancer. In this study, we assessed the importance of the TP53 mutation in bladder cancer progression and drug selection, and identified potential pathways and core genes associated with the underlying...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921983/ https://www.ncbi.nlm.nih.gov/pubmed/31871844 http://dx.doi.org/10.7717/peerj.8261 |
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author | Wu, Guang Wang, Fei Li, Kai Li, Shugen Zhao, Chunchun Fan, Caibin Wang, Jianqing |
author_facet | Wu, Guang Wang, Fei Li, Kai Li, Shugen Zhao, Chunchun Fan, Caibin Wang, Jianqing |
author_sort | Wu, Guang |
collection | PubMed |
description | BACKGROUND: The tumor protein p53 (TP53) mutant is one of the most frequent mutant genes in bladder cancer. In this study, we assessed the importance of the TP53 mutation in bladder cancer progression and drug selection, and identified potential pathways and core genes associated with the underlying mechanisms. METHODS: Gene expression data used in this study were downloaded from The Cancer Genome Atlas and cBioportal databases. Drug sensitivity data were obtained from the Genomics of Drug Sensitivity in Cancer. We did functional enrichment analysis by gene set enrichment analysis (GSEA) and the Database for Annotation, Visualization and Integrated Discovery (DAVID). RESULTS: We found the TP53 mutation in 50% of bladder cancer patients. Patients with the TP53 mutation were associated with a lower TP53 mRNA expression level, more advanced tumor stage and higher histologic grade. Three drugs, mitomycin-C, doxorubicin and gemcitabine, were especially more sensitive to bladder cancer with the TP53 mutation. As for the mechanisms, we identified 863 differentially expressed genes (DEGs). Functional enrichment analysis suggested that DEGs were primarily enriched in multiple metabolic progressions, chemical carcinogenesis and cancer related pathways. The protein–protein interaction network identified the top 10 hub genes. Our results have suggested the significance of TP53 mutation in disease progression and drug selection in bladder cancer, and identified multiple genes and pathways related in such program, offering novel basis for bladder cancer individualized treatment. |
format | Online Article Text |
id | pubmed-6921983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69219832019-12-23 Significance of TP53 mutation in bladder cancer disease progression and drug selection Wu, Guang Wang, Fei Li, Kai Li, Shugen Zhao, Chunchun Fan, Caibin Wang, Jianqing PeerJ Bioinformatics BACKGROUND: The tumor protein p53 (TP53) mutant is one of the most frequent mutant genes in bladder cancer. In this study, we assessed the importance of the TP53 mutation in bladder cancer progression and drug selection, and identified potential pathways and core genes associated with the underlying mechanisms. METHODS: Gene expression data used in this study were downloaded from The Cancer Genome Atlas and cBioportal databases. Drug sensitivity data were obtained from the Genomics of Drug Sensitivity in Cancer. We did functional enrichment analysis by gene set enrichment analysis (GSEA) and the Database for Annotation, Visualization and Integrated Discovery (DAVID). RESULTS: We found the TP53 mutation in 50% of bladder cancer patients. Patients with the TP53 mutation were associated with a lower TP53 mRNA expression level, more advanced tumor stage and higher histologic grade. Three drugs, mitomycin-C, doxorubicin and gemcitabine, were especially more sensitive to bladder cancer with the TP53 mutation. As for the mechanisms, we identified 863 differentially expressed genes (DEGs). Functional enrichment analysis suggested that DEGs were primarily enriched in multiple metabolic progressions, chemical carcinogenesis and cancer related pathways. The protein–protein interaction network identified the top 10 hub genes. Our results have suggested the significance of TP53 mutation in disease progression and drug selection in bladder cancer, and identified multiple genes and pathways related in such program, offering novel basis for bladder cancer individualized treatment. PeerJ Inc. 2019-12-16 /pmc/articles/PMC6921983/ /pubmed/31871844 http://dx.doi.org/10.7717/peerj.8261 Text en © 2019 Wu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Wu, Guang Wang, Fei Li, Kai Li, Shugen Zhao, Chunchun Fan, Caibin Wang, Jianqing Significance of TP53 mutation in bladder cancer disease progression and drug selection |
title | Significance of TP53 mutation in bladder cancer disease progression and drug selection |
title_full | Significance of TP53 mutation in bladder cancer disease progression and drug selection |
title_fullStr | Significance of TP53 mutation in bladder cancer disease progression and drug selection |
title_full_unstemmed | Significance of TP53 mutation in bladder cancer disease progression and drug selection |
title_short | Significance of TP53 mutation in bladder cancer disease progression and drug selection |
title_sort | significance of tp53 mutation in bladder cancer disease progression and drug selection |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921983/ https://www.ncbi.nlm.nih.gov/pubmed/31871844 http://dx.doi.org/10.7717/peerj.8261 |
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