Article

[A pilot study of spectrum of gene expression of acute leukemia].

Department of Hematology, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Zhonghua yi xue za zhi 05/2005; 85(16):1089-92. pp.1089-92
Source: PubMed

ABSTRACT To investigate the gene expression of acute leukemia so as to study the pathogenesis of leukemia.
Five ml of bone marrow was collected from 22 patients with leukemia, 15 males and 7 females, aged 15-86, 17 with acute myelocytic leukemia, 4 with acute lymphocytic leukemia, and 1 with AHL. Mononuclear cells were isolated. Total RNA was extracted and mRNA was purified. DNA microarray technique with 12 848 genes was used to analyze the gene expression profiles.
The predicted 45 genes were enormously expressed in 21 patients with acute leukemia, which were consistent with the ALL and AML classification standards reported by Golub and others. 7 genes which were overexpressed in multiple-resistant cell line K562-n/VCR were also overexpressed in 6 cases of refractory acute leukemia. Further analysis showed that 31 genes were upregulated in AML (M(4)-M(6)) and ALL but downregulated in AML (M(1)-M(3)).
This results support the standard Golub has put forward. The reason that adult patients with ALL and subtypes of AML (M(4)-M(6)) have poorer prognosis in comparison with AMLM(1)-M(3) is attributed to alterations in gene expression. Primary drug resistance may be the major characteristics of refractory leukemia. Analysis of gene expression profile in acute leukemia is significant for classification and prognosis.

0 0
 · 
0 Bookmarks
 · 
20 Views

Keywords

22 patients
 
7 genes
 
acute leukemia
 
acute lymphocytic leukemia
 
acute myelocytic leukemia
 
AML classification standards
 
bone marrow
 
DNA microarray technique
 
gene expression
 
gene expression profile
 
gene expression profiles
 
major characteristics
 
multiple-resistant cell line K562-n/VCR
 
predicted 45 genes
 
Primary drug resistance
 
refractory acute leukemia
 
refractory leukemia
 
results support
 
standard Golub
 
Total RNA
 

Li Chen