Prognoses and genomic analyses of proteasome 26S subunit, ATPase (PSMC) family genes in clinical breast cancer

• Published in: Aging (Albany, NY.) Vol. 13; no. 14; p. 17970
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: United States Impact Journals 31.07.2021
• Subjects: Biomarkers, Tumor - genetics; Breast Neoplasms - genetics; Breast Neoplasms - mortality; Breast Neoplasms - pathology; Datasets as Topic; Disease-Free Survival; Female; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Humans; Kaplan-Meier Estimate; Prognosis; Proteasome Endopeptidase Complex - genetics; Research Paper; RNA, Messenger - genetics; PSMC family genes; breast cancer; bioinformatics
• ISSN: 1945-4589; 1945-4589
• DOI: 10.18632/aging.203345

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.