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
  • [1] Clarifying the molecular mechanism of tomentosin-induced antiproliferative and proapoptotic effects in human multiple myeloma via gene expression profile and genetic interaction network analysis
    Virdis, Patrizia
    Migheli, Rossana
    Bordoni, Valentina
    Fiorentino, Francesco Paolo
    Sanna, Luca
    Marchesi, Irene
    Pintore, Giorgio
    Galleri, Grazia
    Muroni, Maria Rosaria
    Bagella, Luigi
    Fozza, Claudio
    De Miglio, Maria Rosaria
    Podda, Luigi
    INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE, 2021, 48 (06)
  • [2] Resistance to Lenalidomide in Multiple Myeloma Is Associated with a Switch in Gene Expression Profile
    Amatangelo, Michael D.
    Neri, Paola
    Ortiz, Maria
    Bjorklund, Chad C.
    Gandhi, Anita K.
    Klippel, Anke
    Bahlis, Nizar J.
    Daniel, Tom
    Chopra, Rajesh
    Trotter, Matthew
    Thakurta, Anjan
    BLOOD, 2015, 126 (23)
  • [3] The Molecular Mechanism by which LINC00461 Regulates Carfilzomib Resistance in Multiple Myeloma
    Cheng, Lifang
    Zhang, Fanjuan
    TOHOKU JOURNAL OF EXPERIMENTAL MEDICINE, 2025, 265 (02): : 99 - 111
  • [4] Exploring the molecular mechanism associated with breast cancer bone metastasis using bioinformatic analysis and microarray genetic interaction network
    Chen, Xinhua
    Pei, Zhe
    Peng, Hao
    Zheng, Zhihong
    MEDICINE, 2018, 97 (37)
  • [5] Human sclera gene expression profile using cDNA microarray analysis
    Young, TL
    Scavello, G
    Choi, J
    Rappaport, E
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2003, 44 : U81 - U81
  • [6] Analysis of gene expression profile in the glaucomatous human retina using DNA microarray
    Boyd, ZS
    Zhan, G
    Pawar, HS
    Bozinov, D
    Eudy, J
    Richards, JE
    Patil, RV
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2004, 45 : U436 - U436
  • [7] A detailed exploration of using RNA-Seq data in established multiple myeloma gene expression profile microarray based risk scores
    Bauer, Michael
    Ashby, Cody
    Wardell, Christopher
    Morgan, Gareth
    Walker, Brian
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2019, 19 (10): : E57 - E58
  • [8] Inference of the Molecular Mechanism of Action from Genetic Interaction and Gene Expression Data
    Mattiazzi, Mojca
    Curk, Tomaz
    Krizaj, Igor
    Zupan, Blaz
    Petrovic, Uros
    OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY, 2010, 14 (04) : 357 - 367
  • [9] Clinical value of molecular subtyping multiple myeloma using gene expression profiling
    N Weinhold
    C J Heuck
    A Rosenthal
    S Thanendrarajan
    C K Stein
    F Van Rhee
    M Zangari
    A Hoering
    E Tian
    F E Davies
    B Barlogie
    G J Morgan
    Leukemia, 2016, 30 : 423 - 430
  • [10] Clinical value of molecular subtyping multiple myeloma using gene expression profiling
    Weinhold, N.
    Heuck, C. J.
    Rosenthal, A.
    Thanendrarajan, S.
    Stein, C. K.
    Van Rhee, F.
    Zangari, M.
    Hoering, A.
    Tian, E.
    Davies, F. E.
    Barlogie, B.
    Morgan, G. J.
    LEUKEMIA, 2016, 30 (02) : 423 - 430