Literature DB >> 32406376

Identification of specific microRNA-messenger RNA regulation pairs in four subtypes of breast cancer.

Ling Guo1, Aihua Zhang2, Jie Xiong3.   

Abstract

Four subtypes of breast cancer, luminal A, luminal B, basal-like, human epidermal growth factor receptor-enriched, have been identified based on gene expression profiles of human tumours. The goal of this study is to find whether the same groups' genes would exhibit different networks among the four subtypes. Differential expressed genes between each of the four subtypes and the normal samples were identified. The overlaps between the four groups of differentially expressed genes were used to construct regulations networks for each of the four subtypes. Univariate and multivariate Cox regressions were employed to test the genes in the four regulation networks. This study demonstrated that the common genes in four subtypes showed different regulation. Also, the hsa-miR-182 and decorin pair performs different functions among the four subtypes of breast cancer. The result indicated that heterogeneity of breast cancer is not only reflected in the different expression patterns among different genes, but also in the different regulatory networks of the same group of genes.

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Year:  2020        PMID: 32406376      PMCID: PMC8687302          DOI: 10.1049/iet-syb.2019.0086

Source DB:  PubMed          Journal:  IET Syst Biol        ISSN: 1751-8849            Impact factor:   1.615


  38 in total

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Review 3.  Endogenous microRNA sponges: evidence and controversy.

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Journal:  Nat Rev Genet       Date:  2016-04-04       Impact factor: 53.242

4.  Prognostic value of stromal decorin expression in patients with breast cancer: a meta-analysis.

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Journal:  J Thorac Dis       Date:  2015-11       Impact factor: 2.895

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Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-03       Impact factor: 11.205

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Authors:  Sara Nasser; Heather E Cunliffe; Michael A Black; Seungchan Kim
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7.  Deregulated microRNAs in triple-negative breast cancer revealed by deep sequencing.

Authors:  Yao-Yin Chang; Wen-Hung Kuo; Jui-Hui Hung; Chien-Yueh Lee; Yung-Hua Lee; Ya-Chu Chang; Wen-Chun Lin; Cheng-Ying Shen; Chiun-Sheng Huang; Fon-Jou Hsieh; Liang-Chuan Lai; Mong-Hsun Tsai; King-Jen Chang; Eric Y Chuang
Journal:  Mol Cancer       Date:  2015-02-10       Impact factor: 27.401

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Journal:  Breast Cancer Res       Date:  2008-11-26       Impact factor: 6.466

10.  MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction.

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Journal:  PLoS Comput Biol       Date:  2018-08-24       Impact factor: 4.475

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  1 in total

Review 1.  Role of Exosomal miR-223 in Chronic Skeletal Muscle Inflammation.

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  1 in total

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