Analysis of miRNA signature differentially expressed in exosomes from adriamycin-resistant and parental human breast cancer cells

被引:20
作者
Chen, Wei-xian [1 ]
Xu, Ling-yun [1 ]
Qian, Qi [1 ]
He, Xiao [1 ]
Peng, Wen-ting [1 ]
Zhu, Yu-lan [1 ]
Cheng, Lin [1 ]
机构
[1] Nanjing Med Univ, Dept Breast Surg, Affiliated Changzhou Peoples Hosp 2, Changzhou, Peoples R China
关键词
DRUG-RESISTANCE; EXTRACELLULAR VESICLES; INTERACTION NETWORKS; PROLIFERATION; MICRORNAS; MECHANISM; INVASION; DATABASE;
D O I
10.1042/BSR20181090
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
A major cause of failure in chemotherapy is drug resistance of cancer cells. Exosomes have been introduced to spread chemoresistance through delivering miRNAs. However, a systematic evaluation of the exosomal miRNA expression profiles responsible for chemoresistance is still lacking. In the present study, miRNA signature differentially expressed in exosomes derived from adriamycin-resistant (A/exo) and parental breast cancer cells (S/exo) were analyzed by microarray and the results were confirmed by PCR. A total of 309 miRNAs were increased and 66 miRNAs were decreased significantly in A/exo compared with S/exo. Specifically, 52 novel miRNAs with increased expression levels > 16.0-fold in A/exo were identified. After prediction of target genes for 13 of 52 selected novel miRNAs, pathway analysis, gene ontology (GO) terms, and protein-protein interactions (PPIs) were constructed. The results implied that these selected exosomal miRNAs inhibited target genes involved in transcriptional misregulation in cancer, MAPK, and Wnt signaling pathways. Functional enrichment analysis demonstrated that the target genes were mainly responsible for protein phosphorylation, transcription regulation, molecular binding, and kinase activity. In summary, the current bioinformatics study of exosomal miRNAs may offer a new understanding into mechanisms of chemoresistance, which is helpful to find potential exosomal miRNAs to overcome drug insensitivity in future breast cancer treatment.
引用
收藏
页数:11
相关论文
共 28 条
  • [1] Gene Ontology: tool for the unification of biology
    Ashburner, M
    Ball, CA
    Blake, JA
    Botstein, D
    Butler, H
    Cherry, JM
    Davis, AP
    Dolinski, K
    Dwight, SS
    Eppig, JT
    Harris, MA
    Hill, DP
    Issel-Tarver, L
    Kasarskis, A
    Lewis, S
    Matese, JC
    Richardson, JE
    Ringwald, M
    Rubin, GM
    Sherlock, G
    [J]. NATURE GENETICS, 2000, 25 (01) : 25 - 29
  • [2] Exosomes from docetaxel-resistant breast cancer cells alter chemosensitivity by delivering microRNAs
    Chen, Wei-xian
    Cai, Yan-qin
    Lv, Meng-meng
    Chen, Lin
    Zhong, Shan-liang
    Ma, Teng-fei
    Zhao, Jian-hua
    Tang, Jin-hai
    [J]. TUMOR BIOLOGY, 2014, 35 (10) : 9649 - 9659
  • [3] MicroRNAs delivered by extracellular vesicles: an emerging resistance mechanism for breast cancer
    Chen, Wei-xian
    Zhong, Shan-liang
    Ji, Ming-hua
    Pan, Meng
    Hu, Qing
    Lv, Meng-meng
    Luo, Zhou
    Zhao, Jian-hua
    Tang, Jin-hai
    [J]. TUMOR BIOLOGY, 2014, 35 (04) : 2883 - 2892
  • [4] Cancer-derived extracellular vesicles: the 'soil conditioner' in breast cancer metastasis?
    Chin, Andrew R.
    Wang, Shizhen Emily
    [J]. CANCER AND METASTASIS REVIEWS, 2016, 35 (04) : 669 - 676
  • [5] Breast cancer statistics, 2017, racial disparity in mortality by state
    DeSantis, Carol E.
    Ma, Jiemin
    Sauer, Ann Goding
    Newman, Lisa A.
    Jemal, Ahmedin
    [J]. CA-A CANCER JOURNAL FOR CLINICIANS, 2017, 67 (06) : 439 - 448
  • [6] Mechanisms of cancer drug resistance
    Gottesman, MM
    [J]. ANNUAL REVIEW OF MEDICINE, 2002, 53 : 615 - 627
  • [7] Hallmarks of Cancer: The Next Generation
    Hanahan, Douglas
    Weinberg, Robert A.
    [J]. CELL, 2011, 144 (05) : 646 - 674
  • [8] Navigating Breast Cancer: Axon Guidance Molecules as Breast Cancer Tumor Suppressors and Oncogenes
    Harburg, Gwyndolen C.
    Hinck, Lindsay
    [J]. JOURNAL OF MAMMARY GLAND BIOLOGY AND NEOPLASIA, 2011, 16 (03) : 257 - 270
  • [9] DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists
    Huang, Da Wei
    Sherman, Brad T.
    Tan, Qina
    Kir, Joseph
    Liu, David
    Bryant, David
    Guo, Yongjian
    Stephens, Robert
    Baseler, Michael W.
    Lane, H. Clifford
    Lempicki, Richard A.
    [J]. NUCLEIC ACIDS RESEARCH, 2007, 35 : W169 - W175
  • [10] CYCLINS AND CANCER .2. CYCLIN-D AND CDK INHIBITORS COME OF AGE
    HUNTER, T
    PINES, J
    [J]. CELL, 1994, 79 (04) : 573 - 582