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Dusting off genetic fingerprints
Gene expression patterning can
predict the outcome of acute myeloid leukemia
By Brian Hoyle
Thirty-year-old Sandra Raymond
was recently diagnosed with acute myeloid leukemia (AML).
Unlike many AML-sufferers, Sandra's chromosomes appeared
normal, making it more difficult to predict the outcome
of the disease. Chromosome pattern is often used to
determine patient prognosis in AML cases, but patients,
like Sandra, whose patterning is normal, pose a big
problem, since this can mask AML-related genetic abnormalities.
Sandra and patients like her may
soon be able to get more accurate prognoses. Two articles
in the April 15 New England Journal of Medicine
report that genetic fingerprinting can more accurately
pinpoint the nature and outcome of AML than simply looking
at chromosome patterns and rearrangements.
The first study, led by Dr Jonathan
Pollack of the Stanford University School of Medicine,
used gene expression profiling to find different patterns
of gene expression in adults with AML. The other study,
authored by a team of Dutch researchers headed by Peter
Valk, PhD, of the Erasmus University Medical Center
in Rotterdam, used another version of the profiling
technique to locate genetic hot-spots in AML.
Both studies aimed to pinpoint
genes that are active in AML. The results of both teams
"are surprisingly robust," write Drs Edison Liu and
Krishna Karaturi of the Genome Institute of Singapore
in an accompanying editorial.
Until now, the treatment AML patients
receive has been guided by the microscopic detection
of abnormalities like incomplete or missing chromosomal
material. But, since some forms of AML don't result
from gross chromosomal alterations, such an analysis
can be useless. "Clinicians are not sure what to do
with intermediate risk patients who have a normal [chromosome
pattern]," Dr Pollack told Reuters Health.
Dr Pollack and his colleagues showed
that there are differences in genetic activity among
116 AML patients. In particular, the 45 patients with
normal chromosome arrangements could be separated into
two groups based on which genes were turned on. The
researchers hope that separate treatment strategies
may be devised for the two 'different' diseases.
The Dutch researchers pinpointed
different patterns of gene activity in 285 patients
with AML. The patients could be grouped into 16 'clusters'
of gene activity. Three of the clusters had a 57-72%
survival rate after five years. A fourth cluster had
a five-year survival rate of only 32%. Finally, the
survival rate of a fifth patient cluster was a dismal
18%.
To Dr Anthony Komaroff, professor
of medicine at Harvard Medical School, this new information
means that "AML now joins a growing list of malignancies
... for which gene-expression profile fingerprints provide
powerful prognostic information." And a better understanding
of the significance of these genetic patterns could
help determine the most effective therapy that will
fit each individual with AML.
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