In this issue of Blood, Stam and colleagues use gene expression profiling to provide new insights into the diverse types of ALL in infants.1 

Acute lymphoblastic leukemia (ALL) diagnosed in infants has attracted a very high level of basic and clinical research, with 4800 citations currently in PubMed. There are several reasons for this high level of interest, including prenatal origins, mixed-lineage phenotypes, and clear demonstration of transcription factor dysregulation, especially involving MLL fusion genes.2,3 

Unsupervised principal component analysis (PCA) of gene-expression profile shows that infants with germline/wild-type MLL (green dots) clustered closely to MLL-rearranged infant cases (red dots). Noninfant B precursor ALL cases (blue dots) were separable from both types of infant ALL. See the complete figure by Stam et al beginning on page 2835.

Unsupervised principal component analysis (PCA) of gene-expression profile shows that infants with germline/wild-type MLL (green dots) clustered closely to MLL-rearranged infant cases (red dots). Noninfant B precursor ALL cases (blue dots) were separable from both types of infant ALL. See the complete figure by Stam et al beginning on page 2835.

Close modal

Although infant ALL is relatively uncommon, it still has a grim prognosis. The study by Stam et al evaluated a large number of infants (73) from the INTERINFANT 99 study4  with gene expression profiling and MLL gene rearrangement status. The investigators provide convincing evidence that MLL-rearranged infants, MLL germline infants, and MLL germline noninfant children can be distinguished based on gene expression profiling. Principal component analysis (PCA) showed that the MLL germline infants clustered closely to (but could be separated from) MLL-rearranged infant cases (see figure). The close clustering of infant ALL regardless of MLL status shows gene expression similarities that are likely to be important to the biology of these leukemias.

Previous studies of MLL-rearranged ALL have emphasized the expression of high levels of HOXA genes, for example, HOXA9.5  This study showed that not all cases express HOXA genes. Interestingly, although the sample size is small, the study suggests that infants with HOXA-negative MLL-rearranged ALL may have a very high incidence of relapse.

Where does this new information lead us? First, the clustering of all infant ALL separate from noninfant ALL demonstrates that “infant origin” is a biologic variable in itself, suggesting that leukemia in infants originates in different cells than in noninfants. The diversity within infant ALL is largely attributable to MLL rearrangements and within the MLL-rearranged cases, with different fusion partners likely to lead to different biologic characteristics. A number of studies using genetically engineered mice support this hypothesis.6,7  The possibility that human MLL-AF4 leukemia has a different cellular origin than other MLL fusion leukemia is further strengthened by a recent study showing the presence of the MLL fusion gene in mesenchymal stromal cells from MLL-AF4 but not other MLL fusion gene combinations.8  The gene-profiling data from the current and related studies can now be used to study the “cell of origin” issue in detail, with the caveat that the gene expression profile of the bulk leukemia population may differ from that of the cell in which the initial genetic “hit” (eg, a translocation-induced MLL fusion) occurred.

Second, this new information may give leads to help tailor therapies to improve outcomes in this group of patients where the outcomes are not currently satisfactory. If other groups confirm that expression profiles within the MLL fusion group predicts prognosis (eg, HOX cluster genes in this study) or more generally that other genes are uniquely important to the poor outcomes in infants regardless of MLL status, better targeted therapies should result. We certainly are in the very early stages of this journey.

Conflict-of-interest disclosure: The authors declare no competing financial interests. ■

1
Stam
 
RW
Schneider
 
P
Hagelstein
 
JAP
, et al. 
Gene expression profiling–based dissection of MLL translocated and MLL germline acute lymphoblastic leukemia in infants.
Blood
2010
, vol. 
115
 
14
(pg. 
2835
-
2844
)
2
Silverman
 
LB
Acute lymphoblastic leukemia in infancy.
Pediatr Blood Cancer
2007
, vol. 
49
 
7
suppl
(pg. 
1070
-
1073
)
3
Greaves
 
MF
Wiemels
 
J
Origins of chromosome translocations in childhood leukaemia.
Nat Rev Cancer
2003
, vol. 
3
 
9
(pg. 
639
-
649
)
4
Pieters
 
R
Schrappe
 
M
De Lorenzo
 
P
, et al. 
A treatment protocol for infants younger than 1 year with acute lymphoblastic leukaemia (Interfant-99): an observational study and a multicentre randomised trial.
Lancet
2007
, vol. 
370
 
9538
(pg. 
240
-
250
)
5
Rozovskaia
 
T
Feinstein
 
E
Mor
 
O
, et al. 
Upregulation of Meis1 and HoxA9 in acute lymphocytic leukemias with the t(4:11) abnormality.
Oncogene
2001
, vol. 
20
 
7
(pg. 
874
-
878
)
6
Chen
 
W
Li
 
Q
Hudson
 
WA
Kumar
 
A
Kirchhof
 
N
Kersey
 
JH
A murine Mll-AF4 knock-in model results in lymphoid and myeloid deregulation and hematologic malignancy.
Blood
2006
, vol. 
108
 
2
(pg. 
669
-
677
)
7
Krivtsov
 
AV
Feng
 
Z
Lemieux
 
ME
, et al. 
H3K79 methylation profiles define murine and human MLL-AF4 leukemias.
Cancer Cell
2008
, vol. 
14
 
5
(pg. 
355
-
368
)
8
Menendez
 
P
Catalina
 
P
Rodriguez
 
R
, et al. 
Bone marrow mesenchymal stem cells from infants with MLL-AF4+ acute leukemia harbor and express the MLL-AF4 fusion gene.
J Exp Med
2009
, vol. 
206
 
13
(pg. 
3131
-
3141
)
Sign in via your Institution