Identification of differentially expressed genes in human gliomas by DNA microarray and tissue chip techniques

被引:3
|
作者
Sallinen, SL
Sallinen, PK
Haapasalo, HK
Helin, HJ
Helén, PT
Schraml, P
Kallioniemi, OP
Kononen, J
机构
[1] NHGRI, Canc Genet Lab, NIH, Bethesda, MD 20892 USA
[2] Tampere Univ Hosp, Dept Pathol, FIN-33521 Tampere, Finland
[3] Tampere Univ Hosp, Lab Mol Pathol, FIN-33521 Tampere, Finland
[4] Tampere Univ Hosp, Dept Neurosurg, FIN-33521 Tampere, Finland
[5] Univ Basel, Inst Pathol, CH-4003 Basel, Switzerland
关键词
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
New genomic large-scale screening techniques have made the task of establishing an accurate molecular fingerprint of cancer cells feasible. Here, we have used a two-phase strategy for identification of molecular alterations in gliomas, First, cDNA microarrays (Clontech Laboratories, Inc., Research Genetics) were used to pinpoint differentially expressed genes between normal brain and diffuse astrocytomas (grades II-IV), and between a primary tumor and a later tumor reoccurrence in the same patient, More than 200 gene expression alterations were detected from glioblastomas, whereas relatively few changes were seen in grade II and grade III tumors. The most distinct progression-related expression change was the up-regulation of the insulin-like growth factor binding protein 2 (IGFBP2) gene. Second, a high-density tissue microarray of 418 brain tumors was constructed and used for clinical validation of gene expression changes. Strong expression of IGFBP2 was associated with progression and poor patient survival in diffuse astrocytomas (P < 0.0001). Third, comparisons of the data between (a) multiple spots retrieved from one predefined tumor region (IGFBP2 and vimentin immunohistochemistry, 20 tumors) or between (b) standard slides and arrayed tissues (p53 immunohistochemistry, 42 tumors) revealed very little variation. In conclusion, the combined use of DNA microarrays and tissue microarrays offers a powerful strategy for rapid identification and thorough characterization of differentially expressed genes in gliomas.
引用
收藏
页码:6617 / 6622
页数:6
相关论文
共 50 条
  • [41] Identification of differentially expressed genes in a monkey model of allergic asthma by microarray technology
    Zou, J
    Young, S
    Zhu, F
    Xia, L
    Skeans, S
    Wan, YT
    Wang, LQ
    McClanahan, T
    Gheyas, F
    Wei, D
    Garlisi, C
    Jakway, J
    Umland, S
    CHEST, 2002, 121 (03) : 26S - 27S
  • [42] OpWise: Operons aid the identification of differentially expressed genes in bacterial microarray experiments
    Morgan N Price
    Adam P Arkin
    Eric J Alm
    BMC Bioinformatics, 7
  • [43] Density based pruning for identification of differentially expressed genes from microarray data
    Jianjun Hu
    Jia Xu
    BMC Genomics, 11
  • [44] OpWise: Operons aid the identification of differentially expressed genes in bacterial microarray experiments
    Price, MN
    Arkin, AP
    Alm, EJ
    BMC BIOINFORMATICS, 2006, 7 (1)
  • [45] Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data
    Zhao, Peng
    Hu, Wei
    Wang, Hongyun
    Yu, Shengyuan
    Li, Chuzhong
    Bai, Jiwei
    Gui, Songbai
    Zhang, Yazhuo
    INTERNATIONAL JOURNAL OF ENDOCRINOLOGY, 2015, 2015
  • [46] Identification of differentially expressed genes in pancreatic cancer cells using cDNA microarray
    Han, HY
    Bearss, DJ
    Browne, LW
    Calaluce, R
    Nagle, RB
    Von Hoff, DD
    CANCER RESEARCH, 2002, 62 (10) : 2890 - 2896
  • [47] Identification of differentially expressed genes involved in colorectal carcinogenesis using a cDNA microarray
    Komori, T
    Takemasa, I
    Higuchi, H
    Yamasaki, M
    Ikeda, M
    Yamamoto, H
    Ohue, M
    Nakamori, S
    Sekimoto, M
    Matsubara, K
    Monden, M
    JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH, 2004, 23 (03): : 521 - 527
  • [48] Identification of differentially expressed genes in kidneys of spontaneous hypertensive rats (SHR) using DNA microarray analysis.
    Koo, JR
    Liang, KH
    Vaziri, ND
    JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2002, 13 : 332A - 332A
  • [49] Identification of differentially expressed genes
    Schütt, Christine (cschuett@uni-potsdam.de), 1600, Springer Verlag (500):
  • [50] Identification of differentially expressed microRNAs defining heterogeneity of cancer cells by microarray chip analysis
    Kim, Y.
    Kim, M.
    Kim, N.
    MOLECULAR BIOLOGY OF THE CELL, 2014, 25