Integrated analysis of differentially expressed genes and pathways in triple-negative breast cancer

被引:12
|
作者
Peng, Cancan [1 ]
Mai, Wenli [1 ]
Xia, Wei [2 ]
Zhengi, Wenling [1 ]
机构
[1] South Med Univ, Inst Genet Engn, 1838 Guangzhou Blvd North, Guangzhou 510515, Guangdong, Peoples R China
[2] 421 Hosp PLA, Dept Clin Lab, Guangzhou 510318, Guangdong, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
disease; enrichment analysis; protein-protein interaction network; hub genes; therapeutic targets; H-RAS; INTERACTION NETWORKS; MOLECULAR PORTRAITS; EPITHELIAL-CELLS; TUMORS; P53; PHENOTYPE; CARCINOMAS; PROGNOSIS; BIOMARKER;
D O I
10.3892/mmr.2017.6101
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Triple-negative breast cancer (TNBC) is a heterogeneous disease characterized by an aggressive phenotype and reduced survival. The aim of the present study was to investigate the molecular mechanisms involved in the carcinogenesis of TNBC and to identify novel target molecules for therapy. The differentially expressed genes (DEGs) in TNBC and normal adjacent tissue were assessed by analyzing the GSE41970 microarray data using Qlucore Omics Explorer, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes. Pathway enrichment analyses for DEGs were performed using the Database for Annotation, Visualization and Integrated Discovery online resource. A protein-protein interaction (PPI) network was constructed using Search Tool for the Retrieval of Interacting Genes, and subnetworks were analyzed by ClusterONE. The PPI network and subnetworks were visualized using Cytoscape software. A total of 121 DEGs were obtained, of which 101 were upregulated and 20 were downregulated. The upregulated DEGs were significantly enriched in 14 pathways and 83 GO biological processes, while the downregulated DEGs were significantly enriched in 18 GO biological processes. The PPI network with 118 nodes and 1,264 edges was constructed and three subnetworks were extracted from the entire network. The significant hub DEGs with high degrees were identified, including TP53, glyceraldehyde-3-phosphate dehydrogenase, cyclin DI, HRAS and proliferating cell nuclear antigen, which were predominantly enriched in the cell cycle pathway and pathways in cancer. A number of critical genes and pathways were revealed to be associated with TNBC. The present study may provide an improved understanding of the pathogenesis of TNBC and contribute to the development of therapeutic targets for TNBC.
引用
收藏
页码:1087 / 1094
页数:8
相关论文
共 50 条
  • [31] Triple-negative breast cancer
    Reinaldo D Chacón
    María V Costanzo
    Breast Cancer Research, 12
  • [32] The Triple-Negative Breast Cancer Database: an omics platform for reference, integration and analysis of triple-negative breast cancer data
    Rajesh Raju
    Aswathy Mary Paul
    Vivekanand Asokachandran
    Bijesh George
    Lekshmi Radhamony
    Meena Vinaykumar
    Reshmi Girijadevi
    Madhavan Radhakrishna Pillai
    Breast Cancer Research, 16
  • [33] The Triple-Negative Breast Cancer Database: an omics platform for reference, integration and analysis of triple-negative breast cancer data
    Raju, Rajesh
    Paul, Aswathy Mary
    Asokachandran, Vivekanand
    George, Bijesh
    Radhamony, Lekshmi
    Vinaykumar, Meena
    Girijadevi, Reshmi
    Pillai, Madhavan Radhakrishna
    BREAST CANCER RESEARCH, 2014, 16 (06)
  • [34] New triple-negative breast cancer risk genes identified
    Gourd, Elizabeth
    LANCET ONCOLOGY, 2018, 19 (09): : E445 - E445
  • [35] Differentially expressed genes and their pathways in breast cancer patients with mesenchymal CTC
    Mego, Michal
    Hadzega, Dominik
    Minarik, Gabriel
    Soltysova, Andrea
    Nemcova, Petra
    Kalavska, Katarina
    Karaba, Marian
    Benca, Juraj
    Sedlackova, Tatiana
    Pindak, Daniel
    Klucar, Lubos
    CANCER RESEARCH, 2023, 83 (05)
  • [36] Identification of aberrantly methylated differentially expressed genes in breast cancer by integrated bioinformatics analysis
    Yi, Lilan
    Luo, Peng
    Zhang, Jian
    JOURNAL OF CELLULAR BIOCHEMISTRY, 2019, 120 (09) : 16229 - 16243
  • [37] Microarray analysis of differentially expressed miRNA in triple negative breast cancer: A study of western India
    Vora, Hemangini
    Bhatt, Nikita
    Shah, Dharvi
    Patel, Prabhudas
    Parikh, Sonia
    Trivedi, Priti
    Pandya, Shashank
    ADVANCES IN CANCER BIOLOGY-METASTASIS, 2024, 10
  • [38] Analysis of Pathways in Triple-Negative Breast Cancer Cells Treated with the Combination of Electrochemotherapy and Cisplatin
    Giri, Pragatheiswar
    Mittal, Lakshya
    Camarillo, Ignacio G.
    Sundararajan, Raji
    BIOINTERFACE RESEARCH IN APPLIED CHEMISTRY, 2021, 11 (05): : 13453 - 13464
  • [39] Triple-negative breast cancer: Frequency of inherited mutations in breast cancer susceptibility genes
    Couch, Fergus J.
    Hart, Steven N.
    Sharma, Priyanka
    Toland, Amanda Ewart
    Miron, Penelope
    Olson, Janet E.
    Godwin, Andrew
    Pankratz, Vernon S.
    Olswold, Curtis
    Slettedahl, Seth
    Guidugli, Lucia
    Beckmann, Matthias W.
    Rack, Brigitte
    Ekici, Arif B.
    Konstantopoulou, Irene
    Fostira, Florentia
    Fountzilas, George
    Pelttari, Liisa M.
    Yao, Song
    Garber, Judy
    Cox, Angela
    Brauch, Hiltrud
    Ambrosone, Christine
    Nevanlinna, Heli
    Yannoukakos, Drakoulis
    Slager, Susan L.
    Vachon, Celine M.
    Eccles, Diana M.
    Fasching, Peter A.
    CANCER RESEARCH, 2015, 75
  • [40] Integrated analysis of expression profiling data identifies three genes in correlation with poor prognosis of triple-negative breast cancer
    Zhang, Cheng
    Han, Yong
    Huang, Hao
    Min, Li
    Qu, Like
    Shou, Chengchao
    INTERNATIONAL JOURNAL OF ONCOLOGY, 2014, 44 (06) : 2025 - 2033