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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
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.
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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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