DNA-microarray analysis of brain cancer: Molecular classification for therapy

被引：147

作者：

Mischel, PS ^{[1
]}

Cloughesy, TF

Nelson, SF

机构：

[1] Univ Calif Los Angeles, Dept Pathol & Lab Med, Los Angeles, CA 90095 USA

[2] Univ Calif Los Angeles, Dept Neurol, Los Angeles, CA 90095 USA

[3] Univ Calif Los Angeles, Dept Human Genet, Los Angeles, CA 90095 USA

[4] Univ Calif Los Angeles, David Geffen Sch Med, Henry E Singleton Brain Canc Res Program, Los Angeles, CA 90095 USA

来源：

NATURE REVIEWS NEUROSCIENCE | 2004年 / 5卷 / 10期

关键词：

D O I：

10.1038/nrn1518

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

Primary brain tumours are among the most lethal of all cancers, largely as a result of their lack of responsiveness to current therapy. Numerous new therapies hold great promise for the treatment of patients with brain cancer, but the main challenge is to determine which treatment is most likely to benefit an individual patient. DNA-microarray-based technologies, which allow simultaneous analysis of expression of thousands of genes, have already begun to uncover previously unrecognized patient subsets that differ in their survival. Here, we review the progress made so far in using DNA microarrays to optimize brain cancer therapy.

引用

页码：782 / 792

页数：11

共 101 条

[1] Extreme self-organization in networks constructed from gene expression data [J].

Agrawal, H .

PHYSICAL REVIEW LETTERS, 2002, 89 (26)

[2] Genomic microarrays in human genetic disease and cancer [J].

Albertson, DG ;

Pinkel, D .

HUMAN MOLECULAR GENETICS, 2003, 12 :R145-R152

[3] Biological networks: The tinkerer as an engineer [J].

Alon, U .

SCIENCE, 2003, 301 (5641) :1866-1867

[4] Identification of diverse nerve growth factor-regulated genes by serial analysis of gene expression (SAGE) profiling [J].

Angelastro, JM ;

Klimaschewski, L ;

Tang, S ;

Vitolo, OV ;

Weissman, TA ;

Donlin, LT ;

Shelanski, ML ;

Greene, LA .

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2000, 97 (19) :10424-10429

[5] MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia [J].

Armstrong, SA ;

Staunton, JE ;

Silverman, LB ;

Pieters, R ;

de Boer, ML ;

Minden, MD ;

Sallan, SE ;

Lander, ES ;

Golub, TR ;

Korsmeyer, SJ .

NATURE GENETICS, 2002, 30 (01) :41-47

[6] Epidermal growth factor receptor and Ink4a/Arf:: Convergent mechanisms governing terminal differentiation and transformation along the neural stem cell to astrocyte axis [J].

Bachoo, RM ;

Maher, EA ;

Ligon, KL ;

Sharpless, NE ;

Chan, SS ;

You, MJJ ;

Tang, Y ;

DeFrances, J ;

Stover, E ;

Weissleder, R ;

Rowitch, DH ;

Louis, DN ;

DePinho, RA .

CANCER CELL, 2002, 1 (03) :269-277

[7]

Bailey P, 1928, CLASSIFICATION TUMOR

[8] Network biology:: Understanding the cell's functional organization [J].

Barabási, AL ;

Oltvai, ZN .

NATURE REVIEWS GENETICS, 2004, 5 (02) :101-U15

[9] Similarities and differences in genome-wide expression data of six organisms [J].

Bergmann, S ;

Ihmels, J ;

Barkai, N .

PLOS BIOLOGY, 2004, 2 (01) :85-93

[10] Medulloblastoma growth inhibition by Hedgehog pathway blockade [J].

Berman, DM ;

Karhadkar, SS ;

Hallahan, AR ;

Pritchard, JI ;

Eberhart, CG ;

Watkins, DN ;

Chen, JK ;

Cooper, MK ;

Taipale, J ;

Olson, JM ;

Beachy, PA .

SCIENCE, 2002, 297 (5586) :1559-1561

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