Literature DB >> 30278461

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

Xiangrong Cui1,2,3, Qin Yi1,2,3, Xuan Jing4, Yue Huang1,2,3, Jie Tian5, Chunlan Long1,2,3, Zhongping Xiang1,2,3, Jianping Liu6, Chunmin Zhang7, Bin Tan1,2,3, Yasha Li1,2,3, Jing Zhu1,2,3.   

Abstract

BACKGROUND/AIMS: 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.
METHODS: To evaluate gene alteration during breast carcinogenesis, we explored MEG3 expression using the Serial Analysis of Gene Expression Genie suite and Oncomine analysis. The prognostic roles of MEG3 in breast cancer were investigated using the PrognoScan database. The heat map and methylation status of MEG3 were determined using the UCSC Genome Browser.
RESULTS: We found that MEG3 was more frequently downregulated in breast cancer than in normal tissues and this correlated with prognosis. However, estrogen receptor and progesterone receptor status were found to be positively correlated with MEG3 expression. Conversely, basal-like status, triple-negative breast cancer status, and Scarff Bloom & Richardson grade criterion were negatively correlated with MEG3 expression. Following data mining in multiple big data databases, we confirmed a positive correlation between MEG3 and heparan sulfate proteoglycan 2 (HSPG2) expression in breast cancer tissues.
CONCLUSION: MEG3 could be adopted as a marker to predict the prognosis of breast cancer with HSPG2. However, large-scale and comprehensive research is needed to clarify our results.
© 2018 The Author(s). Published by S. Karger AG, Basel.

Entities:  

Keywords:  Breast carcinoma; Long non-coding RNAs; MEG3; Prognosis

Mesh:

Substances:

Year:  2018        PMID: 30278461     DOI: 10.1159/000493956

Source DB:  PubMed          Journal:  Cell Physiol Biochem        ISSN: 1015-8987


  16 in total

1.  Comprehensive analysis of long noncoding RNA (lncRNA)-chromatin interactions reveals lncRNA functions dependent on binding diverse regulatory elements.

Authors:  Guanxiong Zhang; Yujia Lan; Aimin Xie; Jian Shi; Hongying Zhao; Liwen Xu; Shiwei Zhu; Tao Luo; Tingting Zhao; Yun Xiao; Xia Li
Journal:  J Biol Chem       Date:  2019-09-04       Impact factor: 5.157

2.  TMEM158 May Serve as a Diagnostic Biomarker for Anaplastic Thyroid Carcinoma: An Integrated Bioinformatic Analysis.

Authors:  Han-Ning Li; Ya-Ying Du; Tao Xu; Rui Zhang; Ge Wang; Zheng-Tao Lv; Xing-Rui Li
Journal:  Curr Med Sci       Date:  2021-01-11

Review 3.  Predictive and Prognostic Value of Non-Coding RNA in Breast Cancer.

Authors:  Navid Sobhani; Richard Chahwan; Raheleh Roudi; Rachel Morris; Stefano Volinia; Dafei Chai; Alberto D'Angelo; Daniele Generali
Journal:  Cancers (Basel)       Date:  2022-06-15       Impact factor: 6.575

4.  Prognostic and clinicopathological insights of phosphodiesterase 9A gene as novel biomarker in human colorectal cancer.

Authors:  Tasmina Ferdous Susmi; Atikur Rahman; Md Moshiur Rahman Khan; Farzana Yasmin; Md Shariful Islam; Omaima Nasif; Sulaiman Ali Alharbi; Gaber El-Saber Batiha; Mohammad Uzzal Hossain
Journal:  BMC Cancer       Date:  2021-05-20       Impact factor: 4.430

5.  Expression of ncRNAs on the DLK1-DIO3 Locus Is Associated With Basal and Mesenchymal Phenotype in Breast Epithelial Progenitor Cells.

Authors:  Zuzana Budkova; Anna Karen Sigurdardottir; Eirikur Briem; Jon Thor Bergthorsson; Snævar Sigurdsson; Magnus Karl Magnusson; Gunnhildur Asta Traustadottir; Thorarinn Gudjonsson; Bylgja Hilmarsdottir
Journal:  Front Cell Dev Biol       Date:  2020-06-16

6.  Long non-coding RNA MEG3 inhibits cervical cancer cell growth by promoting degradation of P-STAT3 protein via ubiquitination.

Authors:  Jun Zhang; Yali Gao
Journal:  Cancer Cell Int       Date:  2019-07-08       Impact factor: 5.722

7.  Long non-coding RNA MEG3 mediates the miR-149-3p/FOXP3 axis by reducing p53 ubiquitination to exert a suppressive effect on regulatory T cell differentiation and immune escape in esophageal cancer.

Authors:  Qi-Rong Xu; Jian Tang; Hong-Ying Liao; Ben-Tong Yu; Xiang-Yuan He; Yu-Zhen Zheng; Sheng Liu
Journal:  J Transl Med       Date:  2021-06-17       Impact factor: 5.531

8.  Five miRNAs-mediated PIEZO2 downregulation, accompanied with activation of Hedgehog signaling pathway, predicts poor prognosis of breast cancer.

Authors:  Weiyang Lou; Jingxing Liu; Bisha Ding; Luqi Jin; Liang Xu; Xia Li; Jing Chen; Weimin Fan
Journal:  Aging (Albany NY)       Date:  2019-05-06       Impact factor: 5.682

9.  Prognostic Significance of Potential Immune Checkpoint Member HHLA2 in Human Tumors: A Comprehensive Analysis.

Authors:  Ben Wang; Zhujie Ran; Mengmeng Liu; Yunsheng Ou
Journal:  Front Immunol       Date:  2019-07-15       Impact factor: 7.561

10.  Identification of key genes and evaluation of clinical outcomes in lung squamous cell carcinoma using integrated bioinformatics analysis.

Authors:  Yangfeng Shi; Yeping Li; Chao Yan; Hua Su; Kejing Ying
Journal:  Oncol Lett       Date:  2019-09-30       Impact factor: 2.967

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.