Mining Prognostic Significance of MEG3 in Human Breast Cancer Using Bioinformatics Analysis | Zendy

Xiangrong Cui | Zendy; Qin Yi | Zendy; Xuan Jing | Zendy; Yue Huang | Zendy; Jie Tian | Zendy; Chunlan Long | Zendy; Zhongping Xiang | Zendy; Jianping Liu | Zendy; Chunmin Zhang | Zendy; Bin Tan | Zendy; Yasha Li | Zendy; Jing Zhu | Zendy

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Mining Prognostic Significance of MEG3 in Human Breast Cancer Using Bioinformatics Analysis

Author(s) -

Xiangrong Cui,

Qin Yi,

Xuan Jing,

Yue Huang,

Jie Tian,

Chunlan Long,

Zhongping Xiang,

Jianping Liu,

Chunmin Zhang,

Bin Tan,

Yasha Li,

Jing Zhu

Publication year - 2018

Publication title -

cellular physiology and biochemistry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.486

H-Index - 87

eISSN - 1421-9778

pISSN - 1015-8987

DOI - 10.1159/000493956

Subject(s) - breast cancer , meg3 , carcinogenesis , estrogen receptor , biology , oncology , medicine , cancer research , methylation , cancer , bioinformatics , gene , genetics , downregulation and upregulation , long non coding rna

Maternally expressed gene 3 (MEG3) is an imprinted gene with maternal expression, which may function as a tumor suppressor by inhibiting angiogenesis. To identify the prognostic value of MEG3 in breast cancer, systematic analysis was performed in this study.

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