Literature DB >> 24403446

NOTCH4 is a potential therapeutic target for triple-negative breast cancer.

Iori Nagamatsu1, Hideya Onishi, Shojiro Matsushita, Makoto Kubo, Masaya Kai, Akira Imaizumi, Kenji Nakano, Masami Hattori, Yoshinao Oda, Masao Tanaka, Mitsuo Katano.   

Abstract

BACKGROUND/AIM: The prognosis for triple-negative breast cancer (TNBC) is poor. In the present study, we evaluated whether NOTCH4 receptor is a potential new therapeutic target for TNBC.
MATERIALS AND METHODS: In vitro proliferation and invasiveness were evaluated in TNBC cells with or without small-interfering RNA (siRNA) for NOTCH4, and with or without NOTCH4 plasmid transfection. In vivo, MDA-MB-231 cells with or without NOTCH4 siRNA were subcutaneously implanted into the flank regions of mice. The frequency of nuclear translocation of NOTCH4 was assessed by immunohistochemistry in 21 TNBC samples and 46 non-TNBC samples.
RESULTS: NOTCH4 inhibition in TNBC cells reduced proliferation and invasiveness, and NOTCH4 overexpression in TNBC cells increased proliferation and invasiveness. NOTCH4 inhibition reduced tumour volume and tumourigenicity of mouse xenografts. TNBC cells had a higher frequency of nuclear translocation of NOTCH4 than other cells.
CONCLUSION: NOTCH4 is a new potential therapeutic target for triple-negative breast cancer.

Entities:  

Keywords:  NOTCH4; Triple-negative breast cancer; breast cancer; invasion; proliferation; therapeutic target

Mesh:

Substances:

Year:  2014        PMID: 24403446

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  26 in total

1.  Notch4 inhibition reduces migration and invasion and enhances sensitivity to docetaxel by inhibiting Akt/fascin in pancreatic cancer cells.

Authors:  Cui-Juan Qian; Yi-Yi Chen; Xin Zhang; Fu-Qiang Liu; Ting-Ting Yue; Bei Ye; Jun Yao
Journal:  Oncol Lett       Date:  2016-09-07       Impact factor: 2.967

2.  Notch4 promotes gastric cancer growth through activation of Wnt1/β-catenin signaling.

Authors:  Cuijuan Qian; Fuqiang Liu; Bei Ye; Xin Zhang; Yong Liang; Jun Yao
Journal:  Mol Cell Biochem       Date:  2014-12-16       Impact factor: 3.396

Review 3.  Molecular targets and therapeutics in chemoresistance of triple-negative breast cancer.

Authors:  Arijit Nath; Soham Mitra; Tanuma Mistry; Ranita Pal; Vilas D Nasare
Journal:  Med Oncol       Date:  2021-11-23       Impact factor: 3.064

4.  Regulation of Notch-mediated transcription by a bovine herpesvirus 1 encoded protein (ORF2) that is expressed in latently infected sensory neurons.

Authors:  Yilin Liu; Clinton Jones
Journal:  J Neurovirol       Date:  2016-02-03       Impact factor: 2.643

Review 5.  Notch signaling in breast cancer: From pathway analysis to therapy.

Authors:  B Madhu Krishna; Samir Jana; Jyotsana Singhal; David Horne; Sanjay Awasthi; Ravi Salgia; Sharad S Singhal
Journal:  Cancer Lett       Date:  2019-07-18       Impact factor: 8.679

6.  Cancer stem-like cells directly participate in vasculogenic mimicry channels in triple-negative breast cancer.

Authors:  Huizhi Sun; Nan Yao; Siqi Cheng; Linqi Li; Shiqi Liu; Zhao Yang; Guanjie Shang; Danfang Zhang; Zhi Yao
Journal:  Cancer Biol Med       Date:  2019-05       Impact factor: 4.248

7.  Cripto-1 as a novel therapeutic target for triple negative breast cancer.

Authors:  Nadia P Castro; Natalie D Fedorova-Abrams; Anand S Merchant; Maria Cristina Rangel; Tadahiro Nagaoka; Hideaki Karasawa; Malgorzata Klauzinska; Stephen M Hewitt; Kajal Biswas; Shyam K Sharan; David S Salomon
Journal:  Oncotarget       Date:  2015-05-20

8.  IL6 blockade potentiates the anti-tumor effects of γ-secretase inhibitors in Notch3-expressing breast cancer.

Authors:  Dong Wang; Jiahui Xu; Bingjie Liu; Xueyan He; Lei Zhou; Xin Hu; Feng Qiao; Anli Zhang; Xiaojun Xu; Huafeng Zhang; Max S Wicha; Lixing Zhang; Zhi-Ming Shao; Suling Liu
Journal:  Cell Death Differ       Date:  2017-10-13       Impact factor: 15.828

Review 9.  Notch Signalling in Breast Development and Cancer.

Authors:  Abigail Edwards; Keith Brennan
Journal:  Front Cell Dev Biol       Date:  2021-07-06

Review 10.  Knowledge-based analysis of genetic associations of rheumatoid arthritis to inform studies searching for pleiotropic genes: a literature review and network analysis.

Authors:  Weiying Zheng; Shaoqi Rao
Journal:  Arthritis Res Ther       Date:  2015-08-08       Impact factor: 5.156

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