Understanding cancer metastasis - An urgent need for using differential gene expression analysis

被引:49
|
作者
Bashyam, MD [1 ]
机构
[1] Ctr DNA Fingerprinting & Diagnost, Mol Oncol, Hyderabad 500076, Andhra Pradesh, India
关键词
metastasis; metalloproteinases; adhesion; microarray;
D O I
10.1002/cncr.10362
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Cancer is a multistep process and occurs as a result of the loss of control of cell division, leading to the initial tumor formation, which is followed by metastatic spread. Recent years have witnessed a vast improvement in the understanding of the molecular mechanisms regulating cell division and their links to tumorigenesis. The process of metastasis involves an intricate interplay between cell adhesion, proteolysis, migration, and angiogenesis. However, there is little knowledge of how these events are coordinately regulated in the tumor cell. Given that the uncontrolled spread of the tumor to distant organs is usually lethal, a study of the molecular mechanisms regulating metastasis assumes great significance. Recently, several technologies have been developed for analyzing differential gene expression. The current review discusses the importance of these technologies in the molecular analyses of metastasis. (C) 2002 American Cancer Society
引用
收藏
页码:1821 / 1829
页数:9
相关论文
共 50 条
  • [41] Reproducibility and Concordance of Differential DNA Methylation and Gene Expression in Cancer
    Yao, Chen
    Li, Hongdong
    Shen, Xiaopei
    He, Zheng
    He, Lang
    Guo, Zheng
    PLOS ONE, 2012, 7 (01):
  • [42] Differential gene expression in mammary carcinoma cell lines: Identification of DRIM, a new gene down regulated in metastasis
    Schwirzke, M
    Gnirke, A
    Bork, P
    Tarin, D
    Weidle, UH
    ANTICANCER RESEARCH, 1998, 18 (3A) : 1409 - 1421
  • [43] Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets
    Costa, Ivan G.
    Lorena, Ana C.
    Peres, Liciana R. M. P. y
    de Souto, Marcilio C. P.
    ADVANCES IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, PROCEEDINGS, 2009, 5676 : 48 - +
  • [44] Primaquine-induced differential gene expression analysis in mice liver using DNA microarrays
    Noel, Sanjeev
    Sharma, Sharad
    Shanker, Rishi
    Rath, Srikanta Kumar
    TOXICOLOGY, 2007, 239 (1-2) : 96 - 107
  • [45] Gene Expression Analysis Using Clustering
    Dhiraj, Kumar
    Rath, Santanu Kumar
    Pandey, Abhishek
    2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11, 2009, : 169 - 172
  • [46] Profilin 2 isoform expression is associated with lung metastasis of colorectal cancer according to a comprehensive gene expression study using a mouse model
    Toyota, Naoyuki
    Tsuruta, Masashi
    Tajima, Yuki
    Shigeta, Kohei
    Okabayashi, Koji
    Hasegawa, Hirotoshi
    Fujita, Shin
    Yoshimatsu, Yuki
    Ozawa, Iwao
    Kondo, Tadashi
    Kitagawa, Yuko
    ONCOLOGY LETTERS, 2024, 28 (02)
  • [47] Capturing changes in gene expression dynamics by gene set differential coordination analysis
    Yu, Tianwei
    Bai, Yun
    GENOMICS, 2011, 98 (06) : 469 - 477
  • [48] Systems-level differential gene expression analysis reveals new genetic variants of oral cancer
    Abbas, Syeda Zahra
    Qadir, Muhammad Imran
    Muhammad, Syed Aun
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [49] (Differential) Co-Expression Analysis of Gene Expression: A Survey of Best Practices
    Chowdhury, Hussain Ahmed
    Bhattacharyya, Dhruba Kumar
    Kalita, Jugal Kumar
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 17 (04) : 1154 - 1173
  • [50] Differential gene expression identifies KRT7 and MUC1 as potential metastasis-specific targets in sarcoma
    Jiang, Long
    Tolani, Bhairavi
    Yeh, Che-Chung
    Fan, Yanying
    Reza, Joseph A.
    Horvai, Andrew E.
    Xia, Endi
    Kratz, Johannes R.
    Jablons, David M.
    Mann, Michael J.
    CANCER MANAGEMENT AND RESEARCH, 2019, 11 : 8209 - 8218