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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Pediatr Blood Cancer. Author manuscript; available in PMC 2013 June 1.
Published in final edited form as:
PMCID: PMC3208122
NIHMSID: NIHMS306254

MLL gene rearrangements in infant leukemia vary with age at diagnosis and selected demographic factors: A Children’s Oncology Group (COG) study

Abstract

Background

Infant leukemias have a high frequency of mixed lineage leukemia (MLL) gene rearrangements.

Procedure

Using data from a large etiologic study, we evaluated the distribution of selected demographic factors among 374 infant leukemia cases by leukemic subtype, MLL status and diagnosis age.

Results

Overall, 228 cases were MLL+. Compared to white infants, black infants were significantly less likely to have MLL+ leukemia. Further, there was a statistically significantly higher age at diagnosis for infants with t(9;11) translocations compared to all other translocation partners in both acute lymphoblastic leukemia and acute myeloid leukemia cases.

Conclusion

These patterns may provide important etiological insight into the biology of infant leukemia.

Keywords: epidemiology, infants, leukemia, MLL

INTRODUCTION

Infant leukemias (<12 months) are rare (40/1,000,000 person-years)[1] and distinct from leukemias in older children. Using current treatment protocols, 5-year survival has increased to >80% for leukemias diagnosed at 1–9 years, while the infant leukemia rate is 50%[2]. Other important presenting characteristics include hyperleukocytosis, absence of CD10+ expression on blasts, and central nervous system involvement [reviewed in [3]]. Further, there is a high proportion of chromosomal aberrations involving the mixed lineage leukemia (MLL) gene on 11q23. The commonest MLL aberrations involve translocation of the N-terminus with various partners. To date, >60 translocation partners have been identified[4]. MLL rearrangements occur in 6% and 14% of childhood acute lymphoid leukemias (ALL) and acute myeloid leukemias (AML), respectively[5]. The infant frequency is much higher, with 61–79% of ALL and 31–45% of AML cases affected[611].

Differences in leukemias in infants versus older children suggest divergent underlying causes. Here, we aimed to characterize a large infant leukemia case series by leukemic subtype, MLL status, and translocation partner chromosome, as subgroup differences may inform hypotheses in future etiologic investigations.

MATERIALS AND METHODS

Patients enrolled on Children’s Oncology Group (COG) Protocol AE24 comprised the case series. Detailed methods have been published previously[12]. Briefly, acute leukemia cases diagnosed at <12 months between 1/1/96–10/13/02 (Phase 1) and 1/1/03–12/31/06 (Phase 2) at U.S. and Canadian COG institutions were eligible if their biological mothers were available for telephone interview and spoke English or Spanish (Phase 2 only). Individuals with Down syndrome were excluded. Interview response rates were 69% (Phase 1) and 59% (Phase 2). Mothers provided demographic data via telephone interview and released diagnostic information to permit central review (by N.A.H., J.M.H., S.M.D.).

Cases were classified by leukemia type, MLL rearrangement status, and MLL translocation partner chromosome. Cases were categorized as MLL+ (n=228) if there was evidence of MLL rearrangement or balanced translocation from molecular methods (Southern blot, PCR), conventional cytogenetics, and/or fluorescence in situ hybridization. Cases with no evidence of MLL rearrangement were considered MLL− (n=146). Those with insufficient information (i.e., poor karyotype, deletion) were regarded as indeterminate (n=69).

Partner chromosomes were determined for 194/228 (85%) MLL+ cases, including chromosomes 1 (n=14), 4 (n=78), 9 (n=33), 10 (n=23), 19 (n=31), or less common partners (n=15), while partners were not determined for 34 cases. t(11;19) included 2 cases of t(11;19)ELL, 18 cases of t(11;19)ENL, and 11 cases without identified breakpoints. Although t(11;19)ELL and t(11;19)ENL are biologically different[13], small numbers prohibited separate examination.

University of Minnesota and COG institutions’ Institutional Review Boards approved the protocol. Case mothers provided informed consent prior to participation.

Statistical Methods

Unadjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated via unconditional logistic regression for Table I characteristics. Kaplan-Meier analysis was performed to identify significant differences between age of diagnosis (continuous) and leukemic subtypes (ALL versus AML, MLL+ versus MLL−) and translocation partner (t(9;11), t(4;11), others). Differences in distribution functions were evaluated via Wilcoxon test. Statistical analyses were performed in SAS v9.2 (Cary, NC).

Table I
Demographic distribution of cases by leukemia subtype

RESULTS

This series included 264 ALL, 172 AML and 7 AUL/biphenotypic infant cases (Table I). Of 152 AML cases with known morphologic subgroup, 42% were M5, 20% M4, 17% M7, 8% M0, and 5% M2; few cases comprised remaining subgroups. Overall, 228 cases were classified as MLL+, 146 MLL−, and 69 undetermined. Most ALL cases were MLL+ (60%), while proportions of MLL+ (40%) and MLL− (38%) AML cases were comparable. The most common translocation in infant ALL was t(4;11) (48%). In AML, t(10;11) was most common (26%), followed by t(9;11) (25%).

Females were 35% more likely than males to have MLL rearrangements (95% CI:0.89–2.05)(Table II). For leukemia overall and ALL, infants of other races/ethnicities were less likely to be MLL+ compared to whites, but the OR was only statistically significant for black infants (OROverall=0.27, 95% CI:0.11–0.70; ORALL=0.24, 95% CI:0.07–0.84).

Table II
Associations between MLL status and sex, race/ethnicity and age of diagnosis

MLL− cases had a greater median age of diagnosis (7.1 months, n=146) than MLL+ cases (5.2 months, n=228). Further, the diagnosis age distribution was significantly different across the two groups (pWilcoxon=0.004), which was driven by ALL cases (ALL MLL+: 4.8 months, n=157; ALL MLL−: 9.0 months, n=77; pWilcoxon<0.0001). In contrast, AML MLL+ cases had a slightly older diagnosis age (7.0 months, n=68) compared to AML MLL− cases (5.1 months, n=66)(pWilcoxon=0.04). In examining 3-month age groups, infants diagnosed at 10–12 months had reduced odds of MLL+ ALL compared to diagnosis at ≤3 months (OR=0.16, 95% CI:0.07–0.36). Conversely, infants diagnosed with AML at 10–12 months had the highest odds of MLL rearrangements (OR=2.36, 95% CI:0.77–7.21).

ALL cases with t(9;11) were diagnosed at significantly greater ages than those with either t(4;11) or other translocations(pWilcoxon=0.01) (Figure 1a). Ages of the latter two groups were not significantly different(pWilcoxon=0.58). Because there were only 3 t(4;11) AML cases, we combined them with other translocations and compared that group to t(9;11) AML cases (Figure 1b). As with ALL, t(9;11) cases were significantly older than all other translocations combined(pWilcoxon=0.04).

Figure 1
Kaplan-Meier graph comparing 75 t(4;11), 16 t(9;11) and 40 infant ALL cases with less common translocations. Median age of diagnosis was 4.44 months for t(4;11) cases, 7.57 months for t(9;11) cases and 4.06 months for others (pWilcoxon=0.01). Diagnostic ...

DISCUSSION

In this large series, 60% of infant ALL and 40% of infant AML cases exhibited MLL rearrangements, which is consistent with prior reports[610]. The observation that females were more likely to have MLL rearrangements in their leukemia cells was also consistent with earlier studies[14]. To our knowledge, the finding that black infants had significantly lower odds of MLL+ leukemia has not been previously reported, although this estimate is based on a small number of black cases. No associations were observed between Hispanic ethnicity and MLL+ ALL either here or in a prior report[15].

Observed differences may provide important clues to the underlying biology of MLL+ infant leukemia. Our results indicate that female sex may be a risk factor and black race may be protective for MLL+ leukemia. These findings could be leveraged in designing targeted, testable hypotheses for future studies, where investigations are focused on what might be biologically different about female versus male infants or black versus white infants. For example, hormonal differences between sexes may influence MLL+ leukemia development; one in vitro study showed that estrogen induced MLL translocations in human lymphoblastoid cells[16]. Or, male fetuses with MLL rearrangements may be less viable[14]. Reduced MLL+ leukemia odds among black infants may result from differences in genetic susceptibility and/or environmental exposures.

Selection bias may also play a role, however, since not all eligible cases were ultimately enrolled. We compared our case-control data to U.S. cancer registry data [17]. Similar infant leukemia risks were found for females versus males (ORAE24=1.05, incidence rate ratio(IRR)SEER=0.93) and non-Hispanic whites versus blacks (ORAE24=0.76, IRRSEER=0.80). These comparable results diminish selection bias concerns.

In our study, MLL+ cases were diagnosed earlier than MLL− cases for ALL but not AML. Previous studies have shown that MLL+ infant leukemias are diagnosed earlier (<6 months) than MLL− infant leukemias[9,10,18]. The observation that specific ALL translocations differed by diagnosis age has also been described previously [7,10].

One possible explanation for an age-translocation association is that specific translocations may arise systematically in different cells of origin, resulting in varying leukemia latency periods. Some support comes from Menendez et al[19], where the MLL-AF4 fusion gene was identified in bone marrow mesenchymal cells from 8 infants with MLL+ leukemia, while neither MLL-AF10 nor MLL-ENL was observed. Animal models suggesting different translocations may result in varying latency to disease[20,21] provide additional support. However, due to differences in strains, malignancy induction, and disease outcome, generalizability to human studies is limited.

Alternatively, fusion products may affect different downstream targets. Microarray studies have shown differential gene expression of MLL+ versus MLL− infant leukemias[22]. Furthermore, t(4;11), t(9;11), and t(11;19)ENL cases clustered separately[22], arguing for possible unique downstream targets of particular fusion products. Partner-specific alterations may alter susceptibility for secondary genetic/epigenetic events and ultimately affect timing to overt leukemia.

Study strengths include the large number of cases with known MLL status and translocation partner chromosome. In addition, we recruited from a nearly population-based source of U.S. and Canadian cases, since COG institutions see nearly all leukemia patients ages 0–4 years[23].

Limitations include possible selection bias (discussed above), unknown MLL status for 16% of cases, and undetermined translocation partner for 14% of MLL+ cases. To evaluate the robustness of our results, we reclassified cases with undetermined MLL status as MLL+ or MLL−, respectively, and found no marked deviations from the results reported above. Similar results were obtained after assigning MLL+ cases with unknown translocation partners to t(4;11) and t(9;11).

In this large descriptive study of infant leukemia, we observed that blacks have lower MLL+ leukemia risk than whites, and that MLL-AF9 leukemias (ALL and AML) are diagnosed later than other MLL fusion gene leukemias, which may provide clues into etiology.

Supplementary Material

Supp Fig S1

Acknowledgments

Funding: Research supported by National Institutes of Health Grants R01 CA79940, T32 CA99936, U10 CA13539, U10 CA98543, and P30 CA77588 (University of Minnesota Masonic Cancer Center shared resource: Health Survey Research Center), and the Children’s Cancer Research Fund, Minneapolis, MN.

Footnotes

CONFLICT OF INTEREST STATEMENT

The authors have nothing to disclose.

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