By Michael D. Radmacher, PhD, Clara D. Bloomfield, MD, and Guido Marcucci, MD
2008-11-01
Dr. Radmacher is Senior Clinical Biostatistician at The Ohio State University Medical Center.
Dr.
Bloomfield is Professor at The Ohio State University, Senior Advisor at
The Ohio State University Comprehensive Cancer Center, and an OSU
Cancer Scholar.
Dr. Marcucci is Associate Professor of Medicine at The Ohio State University.
Introduction
Acute myeloid leukemia (AML) is a malignant disease characterized by
proliferation with maturation arrest of myeloid blasts in bone marrow
and blood.1 Mounting evidence supports the notion that this
disease is constituted by a group of distinct entities that are being
recognized and categorized based on clinical, cytogenetic, and
molecular features.2 Despite recent progress in our
understanding of the leukemogenic mechanisms of AML and the use of
intensive therapeutic approaches, the prognosis for these patients
remains suboptimal, underscoring the critical need for novel
diagnostic, risk-stratification, and therapeutic approaches. To achieve
this goal it is imperative to dissect the biologic differences that
determine the outcome of distinct clinical, cytogenetic, and molecular
subsets of AML. The expectation is that the understanding of such
differences will allow implementation of "personalized" molecularly
targeted therapeutic programs according to the genetic make-up of the
disease for each individual patient.
Recurrent structural and numerical chromosomal aberrations have been
identified as one of the most important prognostic factors in AML.3
Approximately half of AML patients, however, present with a normal
karyotype. Cytogenetically normal (CN) patients are typically
classified in an intermediate-risk prognostic category.
Recently, it has been evident that the genomic heterogeneity
observed within distinct cytogenetic groups can determine differences
in outcomes.4 For example, several distinct molecular
subsets of CN-AML have been identified to harbor specific genetic
aberrations that are predictive of either adverse (e.g., the internal
tandem duplication of FLT3 [FLT3 ITD], partial tandem duplication of MLL [MLL PTD], and overexpression of the BAALC or ERG genes) or favorable (i.e., mutations in the CEBPA or NPM1
genes) outcome. Several groups have also proposed the use of
genome-wide analysis to identify specific gene expression signatures
that could substitute or complement the prognostic and therapeutic
significance of the aforementioned single gene markers, as has been
done with success for childhood (ALL).5
MicroRNA Expression to Identify AML Subtypes
MicroRNAs are naturally occurring 19- to 25-nucleotide RNAs cleaved
from 70 to 100 nucleotide hairpin precursors that hybridize to
complementary mRNA targets and either lead to their degradation or
inhibit their translation of the corresponding proteins.6,7
Initially discovered as regulators of normal cell homeostasis,
microRNAs have recently been shown to be a new class of genes altered
in several human malignancies and play an active role in malignant
transformation.8 The genomic position of a large number of microRNAs is correlated with the location of cancer-associated genomic regions.9
Recently, functional and prognostic studies confirmed a role for
microRNAs in hematologic malignancies and have been proposed as
prognostic markers and therapeutic targets in AML.10
Following up on a pioneer study that showed AML could be
distinguished from acute lymphoblastic leukemia based on gene
expression profiling,11 Mi, et al. recently showed that the same could be accomplished by microRNA expression profiling.12
Subsequent studies have shown that microRNA signatures are capable of
distinguishing not only between different leukemias but also between
cytogenetic subtypes of AML.
Two microRNA expression profiling studies indicate that t(8;21),
inv(16), and t(15;17) have unique microRNA expression signatures
capable of distinguishing them from other subtypes of AML.13,14
As is common with expression profiling studies, there is not a perfect
concordance between the signatures derived from the two studies, but
there are some commonalities, including the up-regulation of microRNAs
in genes transcribed from genes at the 14q32 region in t(15;17) and the
down-regulation of miR-133a in t(8;21). Patterns of microRNA expression
associated with t(11q23), trisomy 8, and CN-AML have also been reported.15
MicroRNA Expression Associated with Morphological and Molecular Characteristics
Aberrant microRNA expression patterns associated with morphological
and molecular characteristics have been identified in AML, some within
particular cytogenetic subtypes.
Up-regulation of miR-155 in patients with an internal tandem duplication (ITD) of the FLT3 gene has been independently reported by two groups.13,15,16 This observation fits well with the reported high-blast proliferation and poor survival duration in FLT3-ITD+
AML, since it has also recently been shown using a mouse model that
miR-155 can drive granulocyte/monocyte expansion and result in
pathological features characteristic of myeloid neoplasia.17
Mutations of the NPM1 gene also have a characteristic microRNA expression signature, including the up-regulation of miR-10a, -10b, and -196a.14,16 Interestingly,
these microRNAs reside in the genomic cluster of homeobox (HOX) genes,
and up-regulation of HOX genes is a prominent feature of NPM1
mutated gene expression signatures. Furthermore, Garzon, et al.
reported down-regulation of miR-204 and -128a as additional features of
the NPM1-associated microRNA signature and showed in cell line experiments that miR-204 inhibits expression of HOXA10 and MEIS1, two members of the HOX gene cluster.16
Up-regulation of mir-181a and -335 in AML patients carrying mutations of the CEBPA genes was observed in two studies,13,18 the latter solely focused on CN-AML. Another study showed that miR-124a is a target of CEBPA in vitro, and that miR-124a is epigenetically silenced in leukemic cell lines.19
In CN-AML, expression of miR-181a20 and miR-181b21 has been reported
to be associated with French American British (FAB) morphological
phenotype, with lower expression in M4 and M5 compared to M1 and M2.
Also in CN-AML, miR-10a, -10b, and -196a-1 correlated with expression
of HOX genes,20 consistent with the reported NPM1-associated gene signatures, that in turn was shown to be associated with HOX gene overexpression.22
MicroRNA Expression Associated with Clinical Outcome
Evidence is beginning to accumulate that microRNA expression is
associated with clinical outcome in AML. Dixon-McIver, et al. reported
that miR-9 and -let7b correlated with risk groups
determined by cytogenetics, with higher expression in cytogenetic
subgroups assigned intermediate and adverse risk.14 Garzon, et al. reported that, across all cytogenetic subgroups, miR-199a, -199b, -191, -25, and -20a, when over-expressed, adversely affected overall survival.15
In CN-AML with high risk molecular characteristics (i.e., FLT3-ITD+ or NPM1
wild-type, or both), we have recently identified a microRNA expression
signature associated with event-free survival and validated its
prognostic significance.23 The prominent feature of this signature was increased expression of miR-181a and -181b
associated with decreased risk of an event. One of the particular
features of this report was the integration of the genome-wide microRNA
expression profile with gene expression in the attempt to identify
genes that are micro-RNA-regulated and contribute to leukemogenesis in
high molecular risk CN-AML. Expression levels of 452 genes
significantly correlated with the prognostic microRNA signature. We
showed that genes involved in mechanisms of innate immunity,24,25 including genes encoding Toll-like receptors (TLR2, TLR4, TLR8), interleukin-1ß, and its regulators (IL1B, CARD8, CARD12 [NLRC4], CARD15 [NOD2], ASC [PYCARD], CASP1),
were overly represented in the microRNA-dependent gene expression
signature. Some of these genes have already been reported to sustain
growth and proliferation of AML blasts and may represent therapeutic
targets.26-28
Conclusion
Altogether, the current studies suggest that microRNA expression is
associated with cytogenetics, molecular and morphological alterations,
and clinical outcomes in AML. We are only beginning to unravel the
functional relationships that exist between microRNAs and these other
factors, but there is great opportunity for gaining biological insights
by studying altered microRNA expression in AML. Furthermore, it will be
interesting to see if altered microRNA expression can serve as a
valuable prognostic marker that adds information beyond the current
collection of cytogenetic and molecular abnormalities.
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