Distinct expression of CDCA3, CDCA5, and CDCA8 leads to shorter relapse free survival in breast cancer patient
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Nam Nhut Phan1,2,*, Chih-Yang Wang3,*, Kuan-Lun Li1, Chien-Fu Chen4, Chung-Chieh Chiao4, Han-Gang Yu5, Pung-Ling Huang1,6 and Yen-Chang Lin1
1Graduate Institute of Biotechnology, Chinese Culture University, Taipei, Taiwan
2NTT Institute of Hi-Technology, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
3Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
4School of Chinese Medicine for Post-Baccalaureate, I-Shou University, Kaohsiung, Taiwan
5Department of Physiology and Pharmacology, West Virginia University, Morgantown, WV, USA
6Department of Horticulture & Landscape Architecture, National Taiwan University, Taipei, Taiwan
*These authors have contributed equally to this work
Pung-Ling Huang, email: firstname.lastname@example.org
Yen-Chang Lin, email: email@example.com
Keywords: cell cycle division-associated (CDCA) protein; breast cancer; cell cycle; prognosis; bioinformatics
Received: October 16, 2017 Accepted: January 03, 2018 Published: January 09, 2018
Breast cancer is a dangerous disease that results in high mortality rates for cancer patients. Many methods have been developed for the treatment and prevention of this disease. Determining the expression patterns of certain target genes in specific subtypes of breast cancer is important for developing new therapies for breast cancer. In the present study, we performed a holistic approach to screening the mRNA expression of six members of the cell division cycle-associated gene family (CDCA) with a focus on breast cancer using the Oncomine and The Cancer Cell Line Encyclopedia (CCLE) databases. Furthermore, Gene Expression-Based Outcome for Breast Cancer Online (GOBO) was also used to deeply mine the expression of each CDCA gene in clinical breast cancer tissue and breast cancer cell lines. Finally, the mRNA expression of the CDCA genes as related to breast cancer patient survival were analyzed using a Kaplan-Meier plot. CDCA3, CDCA5, and CDCA8 mRNA expression levels were significantly higher than the control sample in both clinical tumor sample and cancer cell lines. These highly expressed genes in the tumors of breast cancer patients dramatically reduced patient survival. The interaction network of CDCA3, CDCA5, and CDCA8 with their co-expressed genes also revealed that CDCA3 expression was highly correlated with cell cycle related genes such as CCNB2, CDC20, CDKN3, and CCNB1. CDCA5 expression was correlated with BUB1 and TRIP13, while CDCA8 expression was correlated with BUB1 and CCNB1. Altogether, these findings suggested CDCA3, CDCA5, and CDCA8 could have a high potency as targeted breast cancer therapies.
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