Publikationsdatum:
1999-10-16
Beschreibung:
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.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Golub, T R -- Slonim, D K -- Tamayo, P -- Huard, C -- Gaasenbeek, M -- Mesirov, J P -- Coller, H -- Loh, M L -- Downing, J R -- Caligiuri, M A -- Bloomfield, C D -- Lander, E S -- New York, N.Y. -- Science. 1999 Oct 15;286(5439):531-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute/Massachusetts Institute of Technology Center for Genome Research, Cambridge, MA 02139, USA. golub@genome.wi.mit.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/10521349" target="_blank"〉PubMed〈/a〉
Schlagwort(e):
Acute Disease
;
Antineoplastic Combined Chemotherapy Protocols/therapeutic use
;
Cell Adhesion/genetics
;
Cell Cycle/genetics
;
*Gene Expression Profiling
;
Homeodomain Proteins/genetics
;
Humans
;
Leukemia, Myeloid/*classification/drug therapy/*genetics
;
Neoplasm Proteins/genetics
;
Neoplasms/classification/genetics
;
Oligonucleotide Array Sequence Analysis
;
Oncogenes
;
Precursor Cell Lymphoblastic Leukemia-Lymphoma/*classification/drug
;
therapy/*genetics
;
Predictive Value of Tests
;
Reproducibility of Results
;
Treatment Outcome
Print ISSN:
0036-8075
Digitale ISSN:
1095-9203
Thema:
Biologie
,
Chemie und Pharmazie
,
Informatik
,
Medizin
,
Allgemeine Naturwissenschaft
,
Physik
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