Acute Leukemias - Republican Scientific Medical Library
Acute Leukemias - Republican Scientific Medical Library
Acute Leukemias - Republican Scientific Medical Library
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a References 127<br />
including the retinoblastoma gene, but none of the potential<br />
targets investigated so far have been consistently<br />
implicated.<br />
Micro-RNAs are short (21- or 22-nucleotide) RNAs<br />
transcribed from a family of closely related noncoding<br />
genes. Although their function is not completely understood,<br />
micro-RNAs are thought to regulate expression<br />
by binding mRNA of specific genes [15, 16, 50]. Two micro-RNA<br />
genes, miR15 and miR16, were recently reported<br />
to be the target for the 13q14 deletion in chronic<br />
lymphocytic leukemia and are most likely deleted in<br />
ALL. Cytogenetic and FISH studies can detect this abnormality,<br />
but higher percentage of this abnormality<br />
has been reported when LOH is used [22].<br />
8.5.15 9p21 Abnormalities<br />
Abnormalities of the short arm of chromosome 9 at<br />
band p21 occur in up to 15% of patients with ALL. These<br />
patients, mainly children, tend to present with unfavorable<br />
clinical characteristics (high white blood cell and<br />
blast counts and organomegaly) and predominantly Tcell<br />
immunophenotype. Clinical outcome is characterized<br />
by high relapse rates and short overall survival.<br />
The tumor suppressor genes p16 INK4a and p15 INK4b are<br />
located in this region and their products are of the cyclin-dependent<br />
kinase inhibitor (CDKI) family. Deletions<br />
of p16 INK4a and p15 INK4b are most common in T-cell<br />
ALL, where they can be found in 60–80% of cases. Hypermethylation<br />
of the 5'-CpG promoter islands silences<br />
this gene locus [28, 60, 66].<br />
8.5.16 Molecular Abnormalities Detected<br />
by Expression Microarrays<br />
Expression microarrays with cDNA or oligonucleotide<br />
sequences from a few to more than 33000 genes have<br />
been used to subclassify ALL and to stratify patients according<br />
to their risk and response to therapy. The expression<br />
microarray approach has yielded useful and<br />
interesting insights into the biology of ALL. It has<br />
proved useful as a discovery tool, and the data generated<br />
from this approach show that the number of genes required<br />
for specific diagnoses and subclassifications is<br />
small and can be adapted using standard diagnostic<br />
techniques such as real-time RT-PCR [8, 29, 48, 57,<br />
68]. However, numerous technical issues related to the<br />
reproducibility and the practicality of this approach<br />
need to be resolved before it is accepted for clinical use.<br />
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