Clarifying the molecular mechanism associated with carfilzomib resistance in human multiple myeloma using microarray gene expression profile and genetic interaction network

被引:12
|
作者
Zheng, Zhihong [1 ]
Liu, Tingbo [1 ]
Zheng, Jing [1 ]
Hu, Jianda [1 ]
机构
[1] Fujian Med Univ, Dept Hematol, Fujian Prov Key Lab Hematol, Union Hosp, 29 Xinquan Rd, Fuzhou 350001, Fujian, Peoples R China
来源
ONCOTARGETS AND THERAPY | 2017年 / 10卷
基金
中国国家自然科学基金;
关键词
multiple myeloma; carfilzomib; drug resistance; microarray; interaction network; compensate pathways; BREAST-CANCER CELLS; MICRORNA; METABOLISM; AUTOPHAGY;
D O I
10.2147/OTT.S130742
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Carfilzomib is a Food and Drug Administration-approved selective proteasome inhibitor for patients with multiple myeloma (MM). However, recent studies indicate that MM cells still develop resistance to carfilzomib, and the molecular mechanisms associated with carfilzomib resistance have not been studied in detail. In this study, to better understand its potential resistant effect and its underlying mechanisms in MM, microarray gene expression profile associated with carfilzomib-resistant KMS-11 and its parental cell line was downloaded from Gene Expression Omnibus database. Raw fluorescent signals were normalized and differently expressed genes were identified using Significance Analysis of Microarrays method. Genetic interaction network was expanded using String, a biomolecular interaction network JAVA platform. Meanwhile, molecular function, biological process and signaling pathway enrichment analysis were performed based on Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Totally, 27 upregulated and 36 downregulated genes were identified and a genetic interaction network associated with the resistant effect was expanded basing on String, which consisted of 100 nodes and 249 edges. In addition, signaling pathway enrichment analysis indicated that cytokine-cytokine receptor interaction, autophagy, ErbB signaling pathway, microRNAs in cancer and fatty acid metabolism pathways were aberrant in carfilzomib-resistant KMS-11 cells. Thus, in this study, we demonstrated that carfilzomib potentially conferred drug resistance to KMS-11 cells by cytokine-cytokine receptor interaction, autophagy, ErbB signaling pathway, microRNAs in cancer and fatty acid metabolism pathways, which may provide some potential molecular therapeutic targets for drug combination therapy against carfilzomib resistance.
引用
收藏
页码:1327 / 1334
页数:8
相关论文
共 50 条
  • [41] Gene's co-expression network and experimental validation of molecular markers associated with the drug resistance of gastric cancer
    Qi, Wenqian
    Zhang, Qian
    BIOMARKERS IN MEDICINE, 2020, 14 (09) : 761 - 773
  • [42] A new method for predictor calculation based on signed-rank call algorithms. Application to microarray gene expression analysis of human multiple myeloma.
    Reme, TX
    Hose, D
    De Vos, J
    Goldschmidt, H
    Cremer, F
    Klein, B
    BLOOD, 2004, 104 (11) : 301B - 302B
  • [43] Interaction of vitamin D analogue CB 1093 with bisphosphonates on human multiple myeloma cell lines: Induction of apoptosis and changes in gene expression detected using microarrays.
    Foukaneli, T
    Rutherford, T
    Attia, M
    Dearden, CE
    Colston, KW
    BLOOD, 2002, 100 (11) : 809A - 809A
  • [44] PROGNOSIS PREDICTION OF HEPATITIS B VIRUS-ASSOCIATED HUMAN HEPATOCELLULAR CARCINOMA USING GENE EXPRESSION PROFILE
    Chang, Seong-Hwon
    Suh, Kyung-Suk
    Yi, Nam-Joon
    Lee, Kee-Ho
    Kim, Bu-Yeo
    HEPATOLOGY, 2008, 48 (04) : 1112A - 1112A
  • [45] Multiple Statistical Methods for Assessing Differential Gene Expression in Microarray Data of Diabetic Model Rats to Predict the Molecular Mechanism of Atorvastatin on Anti-Atherogenesis
    Xu, L.
    Feng, B.
    Wang, H.
    Li, X.
    EXPERIMENTAL AND CLINICAL ENDOCRINOLOGY & DIABETES, 2013, 121 (05) : 272 - 279
  • [46] In vitro and ex vivo gene expression profiling reveals differential kinetic response of HSPs and UPR genes is associated with PI resistance in multiple myeloma
    Amit Kumar Mitra
    Harish Kumar
    Vijay Ramakrishnan
    Li Chen
    Linda Baughn
    Shaji Kumar
    S. Vincent Rajkumar
    Brian G. Van Ness
    Blood Cancer Journal, 10
  • [47] In vitro and ex vivo gene expression profiling reveals differential kinetic response of HSPs and UPR genes is associated with PI resistance in multiple myeloma
    Mitra, Amit Kumar
    Kumar, Harish
    Ramakrishnan, Vijay
    Chen, Li
    Baughn, Linda
    Kumar, Shaji
    Rajkumar, S. Vincent
    Van Ness, Brian G.
    BLOOD CANCER JOURNAL, 2020, 10 (07)
  • [48] MULTIPLE-DRUG RESISTANCE GENE-EXPRESSION IN HUMAN RENAL-CELL CANCER IS ASSOCIATED WITH THE HISTOLOGIC SUBTYPE
    ROCHLITZ, CF
    LOBECK, H
    PETER, S
    REUTER, J
    MOHR, B
    DEKANT, E
    HUHN, D
    HERRMANN, R
    CANCER, 1992, 69 (12) : 2993 - 2998
  • [49] A new molecular classification of multiple myeloma using gene expression profiling and fluorescence in situ hybridisation as predictor for event free survival.
    Hose, D
    Rossi, JF
    Ittrich, C
    DeVos, J
    Benner, A
    Reme, T
    Bila, J
    Grau, V
    Raab, M
    Kaukel, P
    Jourdan, E
    Moos, M
    Theil, AC
    Jauch, A
    Goldschmidt, H
    Klein, B
    Cremer, FW
    BLOOD, 2004, 104 (11) : 25A - 25A
  • [50] Identification of ferroptosis-related gene signatures associated with multiple sclerosis using weighted gene co-expression network analysis
    Gu, Si-Chun
    Yuan, Can-Xing
    Gu, Chao
    MEDICINE, 2022, 101 (51)