Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

DMCA

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring (1999)

Cached

Download Links

by T. R. Golub , D. K. Slonim , P. Tamayo , C. Huard , M. Gaasenbeek , J. P. Mesirov , H. Coller , M. L. Loh , J. R. Downing , M. A. Caligiuri , C. D. Bloomfield

Venue:	Science
Citations:	1768 - 19 self

BibTeX

@ARTICLE{Golub99molecularclassification,
    author = {T. R. Golub and D. K. Slonim and P. Tamayo and C. Huard and M. Gaasenbeek and J. P. Mesirov and H. Coller and M. L. Loh and J. R. Downing and M. A. Caligiuri and C. D. Bloomfield},
    title = {Molecular classification of cancer: class discovery and class prediction by gene expression monitoring},
    journal = {Science},
    year = {1999},
    volume = {286},
    pages = {531--537}
}

OpenURL

Abstract

Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumors to known classes (class prediction). Here, a generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case. A class discovery procedure automatically discovered the distinction between acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) without previous knowledge of these classes. An automatically derived class predictor was able to determine the class of new leukemia cases. The results demonstrate the feasibility of cancer classification based solely on gene expression monitoring and suggest a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge. The challenge of cancer treatment has been to target specific therapies to pathogenetically distinct tumor types, to maximize efficacy

Keyphrases

gene expression monitoring class discovery class prediction molecular classification cancer classification dna microarrays acute lymphoblastic leukemia new cancer class acute myeloid leukemia class discovery procedure cancer class general approach cancer treatment previous knowledge derived class predictor human acute leukemia general strategy previous biological knowledge new leukemia case distinct tumor type test case specific therapy generic approach

DMCA