Literature DB >> 25341508

Molecular functions and significance of the MTA family in hormone-independent cancer.

Zhifeng Ning1, Jinfeng Gan, Chaoying Chen, Dianzheng Zhang, Hao Zhang.   

Abstract

The members of the metastasis-associated protein (MTA) family play pivotal roles in both physiological and pathophysiological processes, especially in cancer development and metastasis, and their role as master regulators has come to light. Due to the fact that they were first identified as crucial factors in estrogen receptor-mediated breast cancer metastasis, most of the early studies focused on their hormone-dependent functions. However, the accumulating evidence shows that the members of MTA family are deregulated in most, if not all, the cancers studied so far. Therefore, the levels as well as the activities of the MTA family members are widely accepted as potential biomarkers for diagnosis, prognosis, and predictors of overall survival. They function differently in different cancers with specific mechanisms. p53 and HIF-1α appear to be the respectively common upstream and downstream regulator of the MTA family in both development and metastasis of a wide spectrum of cancers. Here, we review the expression and clinical significance of the MTA family, focusing on hormone-independent cancers. To illustrate the molecular mechanisms, we analyze the MTA family-related signaling pathways in different cancers. Finally, targeting the MTA family directly or the pathways involved in the MTA family indirectly could be invaluable strategies in the development of cancer therapeutics.

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Year:  2014        PMID: 25341508     DOI: 10.1007/s10555-014-9517-1

Source DB:  PubMed          Journal:  Cancer Metastasis Rev        ISSN: 0167-7659            Impact factor:   9.264


  8 in total

1.  Metastasis-associated protein 3 in colorectal cancer determines tumor recurrence and prognosis.

Authors:  Yi Huang; Yunlong Li; Fenfei He; Shiqi Wang; Yaohui Li; Gang Ji; Xiaonan Liu; Qingchuan Zhao; Jipeng Li
Journal:  Oncotarget       Date:  2017-06-06

2.  Role of metastasis-associated protein 1 in prognosis of patients with digestive tract cancers: A meta-analysis.

Authors:  Guo-Dong Cao; Bo Chen; Mao-Ming Xiong
Journal:  PLoS One       Date:  2017-06-01       Impact factor: 3.240

Review 3.  Corepressor metastasis-associated protein 3 modulates epithelial-to-mesenchymal transition and metastasis.

Authors:  Liang Du; Zhifeng Ning; Hao Zhang; Fuxing Liu
Journal:  Chin J Cancer       Date:  2017-03-09

4.  [Relationship between MTA1 Expression and Prognosis of Chinese Lung Cancer 
Patients: A Meta-analysis].

Authors:  Hai Zhong; Yun Tang; Ying Wang; Wei Gu
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2017-10-20

5.  MTA3 Represses Cancer Stemness by Targeting the SOX2OT/SOX2 Axis.

Authors:  Liang Du; Lu Wang; Jinfeng Gan; Zhimeng Yao; Wan Lin; Junkuo Li; Yi Guo; Yuping Chen; Fuyou Zhou; Sai-Ching Jim Yeung; Robert P Coppes; Dianzheng Zhang; Hao Zhang
Journal:  iScience       Date:  2019-11-11

6.  siMTA1-Loaded Exosomes Enhanced Chemotherapeutic Effect of Gemcitabine in Luminal-b Type Breast Cancer by Inhibition of EMT/HIF-α and Autophagy Pathways.

Authors:  Pengping Li; Guodong Cao; Yuqing Huang; Wei Wu; Bo Chen; Zhenyu Wang; Maoming Xiong
Journal:  Front Oncol       Date:  2020-11-13       Impact factor: 6.244

7.  Expression and Prognostic Significance of Metastasis-Associated Protein 1 in Gastrointestinal Cancer.

Authors:  Pengping Li; Wei Cao; Rui Ding; Mengqiu Cheng; Xin Xu; Sihan Chen; Bo Chen; Guodong Cao; Maoming Xiong
Journal:  Front Oncol       Date:  2020-12-21       Impact factor: 6.244

8.  The nuclear receptor ERβ engages AGO2 in regulation of gene transcription, RNA splicing and RISC loading.

Authors:  Roberta Tarallo; Giorgio Giurato; Giuseppina Bruno; Maria Ravo; Francesca Rizzo; Annamaria Salvati; Luca Ricciardi; Giovanna Marchese; Angela Cordella; Teresa Rocco; Valerio Gigantino; Biancamaria Pierri; Giovanni Cimmino; Luciano Milanesi; Concetta Ambrosino; Tuula A Nyman; Giovanni Nassa; Alessandro Weisz
Journal:  Genome Biol       Date:  2017-10-06       Impact factor: 13.583

  8 in total

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