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Prognoses and genomic analyses of proteasome 26S subunit, ATPase (PSMC) family genes in clinical breast cancer
Breast cancer is a complex disease, and several processes are involved in its development. Therefore, potential therapeutic targets need to be discovered for these patients. Proteasome 26S subunit, ATPase gene (PSMC) family members are well reported to be involved in protein degradation. However, th...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351721/ https://www.ncbi.nlm.nih.gov/pubmed/34329194 http://dx.doi.org/10.18632/aging.203345 |
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author | Kao, Tzu-Jen Wu, Chung-Che Phan, Nam Nhut Liu, Yen-Hsi Ta, Hoang Dang Khoa Anuraga, Gangga Wu, Yung-Fu Lee, Kuen-Haur Chuang, Jian-Ying Wang, Chih-Yang |
author_facet | Kao, Tzu-Jen Wu, Chung-Che Phan, Nam Nhut Liu, Yen-Hsi Ta, Hoang Dang Khoa Anuraga, Gangga Wu, Yung-Fu Lee, Kuen-Haur Chuang, Jian-Ying Wang, Chih-Yang |
author_sort | Kao, Tzu-Jen |
collection | PubMed |
description | Breast cancer is a complex disease, and several processes are involved in its development. Therefore, potential therapeutic targets need to be discovered for these patients. Proteasome 26S subunit, ATPase gene (PSMC) family members are well reported to be involved in protein degradation. However, their roles in breast cancer are still unknown and need to be comprehensively researched. Leveraging publicly available databases, such as cBioPortal and Oncomine, for high-throughput transcriptomic profiling to provide evidence-based targets for breast cancer is a rapid and robust approach. By integrating the aforementioned databases with the Kaplan–Meier plotter database, we investigated potential roles of six PSMC family members in breast cancer at the messenger RNA level and their correlations with patient survival. The present findings showed significantly higher expression profiles of PSMC2, PSMC3, PSMC4, PSMC5, and PSMC6 in breast cancer compared to normal breast tissues. Besides, positive correlations were also revealed between PSMC family genes and ubiquinone metabolism, cell cycle, and cytoskeletal remodeling. Meanwhile, we discovered that high levels of PSMC1, PSMC3, PSMC4, PSMC5, and PSMC6 transcripts were positively correlated with poor survival, which likely shows their importance in breast cancer development. Collectively, PSMC family members have the potential to be novel and essential prognostic biomarkers for breast cancer development. |
format | Online Article Text |
id | pubmed-8351721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-83517212021-08-10 Prognoses and genomic analyses of proteasome 26S subunit, ATPase (PSMC) family genes in clinical breast cancer Kao, Tzu-Jen Wu, Chung-Che Phan, Nam Nhut Liu, Yen-Hsi Ta, Hoang Dang Khoa Anuraga, Gangga Wu, Yung-Fu Lee, Kuen-Haur Chuang, Jian-Ying Wang, Chih-Yang Aging (Albany NY) Research Paper Breast cancer is a complex disease, and several processes are involved in its development. Therefore, potential therapeutic targets need to be discovered for these patients. Proteasome 26S subunit, ATPase gene (PSMC) family members are well reported to be involved in protein degradation. However, their roles in breast cancer are still unknown and need to be comprehensively researched. Leveraging publicly available databases, such as cBioPortal and Oncomine, for high-throughput transcriptomic profiling to provide evidence-based targets for breast cancer is a rapid and robust approach. By integrating the aforementioned databases with the Kaplan–Meier plotter database, we investigated potential roles of six PSMC family members in breast cancer at the messenger RNA level and their correlations with patient survival. The present findings showed significantly higher expression profiles of PSMC2, PSMC3, PSMC4, PSMC5, and PSMC6 in breast cancer compared to normal breast tissues. Besides, positive correlations were also revealed between PSMC family genes and ubiquinone metabolism, cell cycle, and cytoskeletal remodeling. Meanwhile, we discovered that high levels of PSMC1, PSMC3, PSMC4, PSMC5, and PSMC6 transcripts were positively correlated with poor survival, which likely shows their importance in breast cancer development. Collectively, PSMC family members have the potential to be novel and essential prognostic biomarkers for breast cancer development. Impact Journals 2021-07-30 /pmc/articles/PMC8351721/ /pubmed/34329194 http://dx.doi.org/10.18632/aging.203345 Text en Copyright: © 2021 Kao et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Kao, Tzu-Jen Wu, Chung-Che Phan, Nam Nhut Liu, Yen-Hsi Ta, Hoang Dang Khoa Anuraga, Gangga Wu, Yung-Fu Lee, Kuen-Haur Chuang, Jian-Ying Wang, Chih-Yang Prognoses and genomic analyses of proteasome 26S subunit, ATPase (PSMC) family genes in clinical breast cancer |
title | Prognoses and genomic analyses of proteasome 26S subunit, ATPase (PSMC) family genes in clinical breast cancer |
title_full | Prognoses and genomic analyses of proteasome 26S subunit, ATPase (PSMC) family genes in clinical breast cancer |
title_fullStr | Prognoses and genomic analyses of proteasome 26S subunit, ATPase (PSMC) family genes in clinical breast cancer |
title_full_unstemmed | Prognoses and genomic analyses of proteasome 26S subunit, ATPase (PSMC) family genes in clinical breast cancer |
title_short | Prognoses and genomic analyses of proteasome 26S subunit, ATPase (PSMC) family genes in clinical breast cancer |
title_sort | prognoses and genomic analyses of proteasome 26s subunit, atpase (psmc) family genes in clinical breast cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351721/ https://www.ncbi.nlm.nih.gov/pubmed/34329194 http://dx.doi.org/10.18632/aging.203345 |
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