CCDC167 as a potential therapeutic target and regulator of cell cycle-related networks in breast cancer

Pin Shern Chen, Hui Ping Hsu, Nam Nhut Phan, Meng Chi Yen, Feng Wei Chen, Yu Wei Liu, Fang Ping Lin, Sheng Yao Feng, Tsung Lin Cheng, Pei Hsiang Yeh, Hany A. Omar, Zhengda Sun, Jia Zhen Jiang, Yi Shin Chan, Ming Derg Lai, Chih Yang Wang, Jui Hsiang Hung

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

According to cancer statistics reported in 2020, breast cancer constitutes 30% of new cancer cases diagnosed in American women. Histological markers of breast cancer are expressions of the estrogen receptor (ER), the progesterone receptor (PR), and human epidermal growth factor receptor (HER)-2. Up to 80% of breast cancers are grouped as ER-positive, which implies a crucial role for estrogen in breast cancer development. Therefore, identifying potential therapeutic targets and investigating their downstream pathways and networks are extremely important for drug development in these patients. Through high-throughput technology and bioinformatics screening, we revealed that coiled-coil domain-containing protein 167 (CCDC167) was upregulated in different types of tumors; however, the role of CCDC167 in the development of breast cancer still remains unclear. Integrating many kinds of databases including ONCOMINE, MetaCore, IPA, and Kaplan-Meier Plotter, we found that high expression levels of CCDC167 predicted poor prognoses of breast cancer patients. Knockdown of CCDC167 attenuated aggressive breast cancer growth and proliferation. We also demonstrated that treatment with fluorouracil, carboplatin, paclitaxel, and doxorubicin resulted in decreased expression of CCDC167 and suppressed growth of MCF-7 cells. Collectively, these findings suggest that CCDC167 has high potential as a therapeutic target for breast cancer.

Original languageEnglish
Pages (from-to)4157-4181
Number of pages25
JournalAging
Volume13
Issue number3
DOIs
Publication statusPublished - 2021 Feb 15

All Science Journal Classification (ASJC) codes

  • Ageing
  • Cell Biology

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