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. Author manuscript; available in PMC: 2019 Mar 1.
Published in final edited form as: Cancer. 2017 Dec 19;124(5):1025–1035. doi: 10.1002/cncr.31184

Bone mineral density in children with acute lymphoblastic leukemia

Hiroto Inaba 1,2, Xueyuan Cao 3,4, Alice Han 1, John C Panetta 5, Kirsten K Ness 6, Monika L Metzger 1,2, Jeffrey E Rubnitz 1,2, Raul C Ribeiro 1,2, John T Sandlund 1,2, Sima Jeha 1,2, Cheng Cheng 3, Ching-Hon Pui 1,2, Mary V Relling 5,7, Sue C Kaste 8,9
PMCID: PMC5821586  NIHMSID: NIHMS926145  PMID: 29266176

Abstract

BACKGROUND

Children with acute lymphoblastic leukemia (ALL) can develop reduced bone mineral density (BMD). However, data from patients treated on a frontline regimen without cranial irradiation are limited, and no genome-wide analysis has been reported.

METHODS

Lumbar BMDs were evaluated by quantitative computed tomography at diagnosis, after 120 weeks of continuation therapy, and after 2 years off therapy in pediatric ALL patients (aged 2–18 years at diagnosis) treated on the St. Jude Total XV protocol. Clinical, pharmacokinetic, and genetic risk factors associated with decreased BMD Z-scores were evaluated.

RESULTS

The median BMD Z-score in 363 patients was 0.06 at diagnosis, declined to −1.08 at week 120, but partly recovered to −0.72 after 2 years off therapy; BMD in patients with low BMD Z-scores at diagnosis remained low after therapy. Older age (≥10 years vs. 2–9.9 years at diagnosis; P<0.001), higher BMD Z-score at diagnosis (P=0.001), and larger area under the plasma drug concentration–time curve (AUC) for dexamethasone in weeks 7 and 8 of continuation therapy (P=0.001) were associated with a greater decrease in BMD Z-score from diagnosis to week 120. Single-nucleotide polymorphisms in 2 genes important in osteogenesis and bone mineralization (COL11A1 [rs2622849, P=2.39×10−7] and NELL1 [rs11025915, P=4.07×10−6]) were associated with a decrease in BMD Z-score. NELL1 (P=0.003) was also associated with a larger dexamethasone AUC.

CONCLUSIONS

BMD Z-scores decreased during therapy, especially in patients with clinical, pharmacokinetic, and genetic risk factors. Early recognition of BMD changes and strategies to optimize bone health are essential.

Keywords: acute lymphoblastic leukemia, bone mineral density, children, chemotherapy, single-nucleotide polymorphism

INTRODUCTION

The survival rate for acute lymphoblastic leukemia (ALL) has increased to approximately 90% as a result of the introduction of risk-based treatment and improved supportive care.1 However, ALL treatment can itself have adverse effects. In healthy children, bone mineral density (BMD) continues to increase until early in the third decade of life,2 but children with ALL can develop reduced BMD due to the disease, its treatment, nutritional deficiencies, and/or physical inactivity.36 Glucocorticoids decrease bone formation by promoting apoptosis of osteoblasts and osteocytes, increasing bone resorption, and disturbing the calcium balance by reducing intestinal absorption of calcium and increasing its renal excretion.3 Endocrine abnormalities after cranial irradiation also contribute to bone morbidity.3 Although we have shown that prophylactic cranial irradiation can be safely omitted from the treatment of childhood ALL,7 there is only limited data on BMD in patients treated on a regimen without cranial irradiation.

Candidate gene studies have identified several single-nucleotide polymorphisms (SNPs) associated with low BMD in patients with ALL, including ones in the vitamin D receptor (VDR) 5′-end (Cdx-2/GATA polymorphism) haplotype 3 (P = 0.01),8 the genes encoding methylenetetrahydrofolate reductase (the MTHFR 677 T allele) and methionine synthase reductase (the MTRR 66 G allele) (P ≤ 0.01 with 2 or more risk alleles),9 CRHR1 (the G allele of rs1876828, P = 0.02 for boys),10 and RAPGEF5 (the T allele of rs6461639, P = 0.016).11 However, there has been no genome-wide analysis of low BMD in patients with ALL. Therefore, we evaluated clinical, pharmacokinetic, and genetic risk factors influencing BMD, especially those associated with a decline in BMD Z-score during therapy, in children with ALL treated on a contemporary protocol without cranial irradiation.

METHODS

Patients

Pediatric patients aged 1–18 years at diagnosis of ALL were enrolled on the Total XV protocol (ClinicalTrials.gov identifier: NCT00137111) at St. Jude Children’s Research Hospital (St. Jude) from 2000 to 2007.7 Patients aged 1–2 years at diagnosis and those with Down syndrome were excluded, and those who died, experienced relapse, or underwent hematopoietic stem cell transplant (HSCT) were removed from analyses involving subsequent BMD evaluations. The study was approved by the St. Jude Institutional Review Board.

Treatment

Total XV therapy and risk classification are described elsewhere.7 Patients received prednisone at 40 mg/m2/day for 28 days during induction and 5-day dexamethasone pulses every 4 weeks during continuation weeks 1 to 100 at 8 mg/m2/day for low-risk (LR) patients and 12 mg/m2/day for standard/high-risk (S/HR) patients. During re-induction I (weeks 7–9 of continuation) and II (weeks 17–19), all patients received dexamethasone at 8 mg/m2/day on days 1 to 8 and days 15 to 21, resulting in a cumulative prednisone dose of 1120 mg/m2 (for all patients) plus a dexamethasone dose of 1160 mg/m2 (for LR patients) or 1620 mg/m2 (for S/HR patients).7, 12 During remission induction, patients received 6 doses of L-asparaginase (10,000 units/m2/dose) during the first 19 days, and patients with minimal residual disease (MRD) of 1% or more on day 19 received 3 more doses. Low-risk patients received 9 doses of L-asparaginase (10,000 units/m2/dose) during each re-induction, whereas S/HR patients received 19 weekly doses (25,000 units/m2/dose) starting in week 1. Consolidation treatment consisted of high-dose methotrexate (a targeted steady-state concentration of 33 μM for LR patients and 65 μM for S/HR patients) given in 4 courses over 8 weeks with daily mercaptopurine. No cranial irradiation was used.

Bone mineral density

Quantitative computed tomography (QCT) data on vertebral trabecular BMD were obtained for the lumbar spine (L1/L2) at diagnosis, after 120 weeks of continuation therapy (when female patients completed treatment), after 146 weeks of continuation therapy (for male patients only, who then completed all treatment), and 2 years after completing therapy. Data were obtained with a Siemens SOMATOM-Plus spiral CT scanner (Siemens, Iselin, NY) and Mindways QCT calibration phantoms and software (Mindways Software, Austin, TX) as previously reported.13 References for vertebral BMD Z-scores based on age and sex were provided by the manufacturer of the QCT software (Mindways Software).14 The 2 vertebral BMD measurements were averaged, and the BMD Z-scores were used for analysis. A BMD Z-score of less than −1.5 was defined as indicating low BMD in this study.

Dexamethasone and methotrexate pharmacokinetics and cortisol and lipid levels

Blood samples for measuring dexamethasone levels were drawn before and after the morning dexamethasone doses (at 1, 2, 4, and 8 h) on days 1 and 8 of re-induction I (in weeks 7 and 8 of continuation treatment).12, 15 Dexamethasone pharmacokinetic parameters were estimated by fitting a 1-compartment model to the plasma concentration–time data by using maximum a posteriori probability estimation, as implemented in ADAPT II (Biomedical Simulations Resource, Los Angeles, CA). Plasma methotrexate concentrations were measured by a fluorescence polarization immunoassay (TDxFLx System, Abbott, Chicago, IL) at pre-dose and at between 0.5 and 6 h, 23 h, and 42 h after the start of methotrexate infusion.16, 17 Pharmacokinetic parameters were estimated with a 2-compartment first-order model in ADAPT II.

Heparinized blood samples were drawn on day 1 of week 7 of the continuation phase.12 Serum cortisol levels were determined by high-performance liquid chromatography. High- and low-density lipoproteins, cholesterol, and triglycerides were measured with a colorimetric enzymatic assay on a Cobas Integra system (Roche Diagnostics).

Statistical analysis

Associations of clinical characteristics with BMD Z-scores at each time point were evaluated with the rank-sum test or Spearman correlation test. Associations of BMD Z-score categories (≥0, ≥−1.5 to <0, and <−1.5) between two time points were tested with the chi-square test. To account for baseline data and the lack of a race-specific BMD Z-score reference, the analyses for the associations of clinical characteristics and BMD Z-score changes between 2 time points (from diagnosis to week 120 and from week 120 to 2 years off therapy) were adjusted for baseline BMD Z-score (at diagnosis or week 120) and race (white, black, or other) in the linear regression model. The BMD Z-score categories (≥ −1.5 vs. <−1.5) at week 120 and 2 years off therapy were modeled in logistic regression with clinical characteristics as predictors, adjusting for baseline BMD Z-score and race. The independent effect of each factor with a P-value of less than 0.10 was determined by multivariable analysis. The associations of dexamethasone and methotrexate pharmacokinetics and albumin, lipid, and cortisol levels with changes in BMD Z-scores from diagnosis to week 120 were evaluated after adjustments for BMD Z-score at diagnosis and race, and after additional adjustments for age and treatment risk in the multiple linear regression framework. In this analysis, the area under the plasma drug concentration–time curve (AUC) for dexamethasone was evaluated for each increment of 50 nM*h, and the triglyceride, total cholesterol, LDL, and HDL levels were considered for each increment of 20 mg/dL. Multivariable analysis was performed with factors identified by best-set model selection analysis using the Akaike information criterion (AIC). Statistical and computational analyses were performed using “R” Version 3.3.1 software (www.r-project.org) and SAS Version 9.4 software.

Genome-wide association study (GWAS)

Germline DNA samples were collected at remission and genotyped with the Affymetrix GeneChip Human Mapping 100K and 500K Array Sets. We studied 481,281 SNP genotypes after excluding 51,271 SNPs because of a low minor-allele frequency (<1%) or poor call rate (<95%).

For this genome-wide association study (GWAS), SNP genotypes were evaluated for associations with BMD Z-score changes from diagnosis to week 120 of continuation treatment with significance levels of P < 1 × 10−4, as selected by information-profiling criteria after adjustments for age, treatment risk, BMD Z-score at diagnosis, and genetic ancestry. The Spearman rank correlation test was used to evaluate the associations between the SNPs that are significantly associated with BMD Z-score changes from diagnosis to week 120 and the dexamethasone AUC.18

RESULTS

Patients and QCT data

Of the 409 patients treated, 26 patients aged between 1 and 2 years at diagnosis and 10 patients with Down syndrome were excluded, and 10 had not undergone QCT evaluation of their BMD, leaving 363 patients who had undergone at least one QCT evaluation (Fig. 1 and Supplemental Table S1).

Figure 1. CONSORT diagram.

Figure 1

Abbreviations: BMD, bone mineral density; HSCT, hematopoietic stem cell transplant

Table 1 show the cross-sectional BMD Z-scores and their categories at each time point. The median BMD Z-score was 0.06 at diagnosis, decreased to −1.08 at week 120, but improved to −0.72 at 2 years after therapy. There were no differences in BMD Z-score between male and female patients. Of note, although other clinical characteristics did not differ, the available BMD Z-scores at diagnosis and week 120 in 232 patients who had a QCT examination at 2 years off therapy were lower than those in 72 patients who did not have a QCT examination (Supplemental Table S2). The median Z-scores at diagnosis were −0.05 (range, −3.27 to 3.56) for 216 patients who had a QCT examination and 0.30 (range, −2.12 to 2.68) for 66 patients who did not have an examination (P = 0.009). The median Z-scores at week 120 were −1.13 (range, −5.93 to 2.05) for 219 patients who had a QCT examination and −0.92 (range, −4.73 to 1.31) for 58 patients who did not have an examination (P = 0.043). When the BMD Z-scores were categorized as ≥0, ≥ −1.5 to <0, or <−1.5, the percentage of patients with a BMD Z-score of <−1.5 was 6.5%, 37.8%, and 25.4% at diagnosis, week 120, and 2 years off therapy, respectively. There were significant associations in the BMD Z-score categories between any two time points (P < 0.001 for all 3 association tests); most of the patients with BMD Z-scores of less than −1.5 at diagnosis remained in the same category at the subsequent time points (Supplemental Table S3). However, 14 of 108 patients (13.0%) with BMD Z-scores of 0 or higher and 31 of 95 patients (32.6%) with BMD Z-scores of at least −1.5 but less than 0 at diagnosis had BMD Z-scores of less than −1.5 at 2 years off therapy.

Table 1.

Cross-sectional data on bone mineral density Z-score

Z-score All patients
N
Median (range) Female
N
Female, median (range) Male
N
Male, median (range) P-value
Diagnosis
All patients 340 0.06 (−3.27 to 3.56) 145 0.09 (−3.27 to 3.56) 195 0.06 (−2.52 to 2.68) 0.995
  ≥0 182 (53.5%) 76 (52.4%) 106 (54.4%)
  ≥ −1.5 to 0 136 (40.0%) 58 (40.0%) 78 (40.0%)
  < −1.5 22 (6.5%) 11 (7.6%) 11 (5.6%)

Week 120
All patients 296 −1.08 (−5.93 to 2.05) 134 −1.10 (−5.93 to 2.05) 162 −1.05 (−5.62 to 1.43) 0.714
  ≥0 51 (17.2%) 25 (18.7%) 26 (16.1%)
  ≥ −1.5 to 0 133 (44.9%) 57 (42.5%) 76 (46.9%)
  < −1.5 112 (37.8%) 52 (38.8%) 60 (37.0%)

(Week 146)
All patients 151 151 −0.92 (−4.16 to 2.13) N/A
  ≥0 34 (22.5%)
  ≥ −1.5 to 0 68 (45.1%)
  < −1.5 49 (32.5%)

2 years off therapy
All patients 232 −0.72 (−3.56 to 2.46) 108 −0.66 (−3.1 to 2.46) 124 −0.75 (−3.56 to 2.45) 0.446
  ≥0 71 (30.6%) 37 (34.3%) 34 (27.4%)
  ≥ −1.5 to 0 102 (44.0%) 44 (40.7%) 58 (46.8%)
  < −1.5 59 (25.4%) 27 (25.0%) 32 (25.8%)

Abbreviation: N/A, not applicable

Clinical characteristics associated with QCT BMD Z-score values

Supplemental Table S4 and Supplemental Figure S1 show the associations between BMD Z-scores and presenting clinical factors. At diagnosis, patients aged 10 years or older had a median BMD-Z-score of 0.50, which was higher than that of the normal controls and those aged 2–9.9 years had a median Z-score of (−0.09), which was comparable to that of the controls. In multivariable analysis, age 10 years or older (vs. 2–9.9 years) was significantly associated with a higher BMD Z-score (P = 0.030). Age 10 years or older at diagnosis and a lower BMD Z-score at diagnosis were significantly associated with a lower BMD Z-score at week 120 (P < 0.001 for both). Lower BMD Z-scores at week 120 correlated with lower BMD Z-scores at 2 years after therapy (P < 0.001).

Table 2 and supplemental Figures S1 and S2 show clinical factors associated with the changes in BMD Z-score from diagnosis to week 120 and from week 120 to 2 years off therapy, with adjustment for baseline BMD Z-score and race. In multivariable analysis, age 10 years or older at diagnosis, compared with 2–9.9 years, and a greater decrease in height Z-score from diagnosis to week 120 were significantly associated with a greater decline in BMD Z-score from diagnosis to week 120 (P < 0.001 and P = 0.009, respectively). Patients aged 10 years or older at diagnosis had a significantly greater increase in BMD Z-score from week 120 to 2 years off therapy than did those aged 2–9.9 years (P < 0.001).

TABLE 2.

Factors associated with bone mineral density Z-score changes

Clinical characteristics 2 years off therapy from week 120 Week 120 from diagnosis

Variables N Coefficient 95% CI Individual factora
P
Multivariableb
P
N Coefficient 95% CI Individual factora
P
Age
2–9.9 years 202 0.976 0.685 to 1.268 <0.001 <0.001 164 −0.524 −0.768 to −0.280 <0.001
≥10 years 74 55
Sex
Female 124 0.031 −0.242 to 0.303 0.826
Male 152
WBC at diagnosis
<50 × 109/L 209 −0.054 −0.373 to 0.266 0.743 167 −0.028 −0.286 to 0.231 0.834
≥50 × 109/L 67 52
Lineage
B lineage 233 0.474 0.102 to 0.847 0.013 0.440 186 −0.133 −0.447 to 0.181 0.407
T lineage 43 33
CNS involvement
CNS negative 216 0.146 −0.181 to 0.473 0.382 175 −0.168 −0.439 to 0.103 0.224
CNS positive 60 44
Risk
Low 149 0.646 0.375 to 0.917 <0.001 0.218 124 −0.159 −0.383 to 0.066 0.167
Standard/high 127 95
Height Z-score change
Week 120 from diagnosis 276 0.335 0.104 to 0.566 0.005 0.009
2 years off therapy from week 120 218 −0.022 −0.287 to 0.242 0.868
BMI Z-score change
Week 120 from diagnosis 276 0.201 0.063 to 0.339 0.005 0.146
2 years off therapy from week 120 218 −0.097 −0.233 to 0.039 0.163
a

Data are adjusted for baseline BMD Z-scores and race. For 2 years off therapy from week 120, data are additionally adjusted for sex.

b

Multivariable analysis was performed to determine the independent effect of each individual factor that had a P–value of less than 0.10.

Abbreviations: CI, confidence interval; WBC, white blood cell count; CNS, central nervous system; BMI, body mass index

When clinical characteristics associated with a low BMD Z-score (<−1.5) are evaluated after adjustment for baseline BMD Z-score and race, patients aged 10 years or older at diagnosis were at significantly higher risk for a low BMD Z-score at week 120 when compared with patients aged 2–9.9 years (P = 0.003) (Supplemental Table S5).

Association of dexamethasone and methotrexate pharmacokinetics and albumin and lipid levels with QCT BMD Z-scores at week 120

We evaluated the associations of changes in BMD Z-score from diagnosis to week 120 with dexamethasone and methotrexate pharmacokinetics and with albumin, lipid, and cortisol levels adjusted for BMD Z-score at diagnosis and race, and also with additional adjustments for age at diagnosis and treatment risk, by using a multiple linear regression model (Table 3). In the latter model, the average AUCs for dexamethasone in continuation weeks 7 and 8 (P < 0.001) and triglyceride (P = 0.021) and cholesterol (P = 0.018) levels in week 7 were negatively associated with changes in BMD Z-score, and the albumin level in week 7 (P = 0.017) was positively associated with such changes. These suggest that larger dexamethasone AUCs, higher triglyceride and cholesterol levels, and lower albumin levels result in a greater decrease in BMD Z-score from diagnosis to week 120.

TABLE 3.

Association of bone mineral density Z-score changes from diagnosis to week 120 with dexamethasone and methotrexate pharmacokinetics and albumin, lipid, and cortisol levels

Variables N Individual factora Multiple linear regressionb

Coefficient 95% CI P Coefficient 95% CI P
Average of dexamethasone AUCs in weeks 7 and 8 of continuation 241 −0.070 −0.094 to −0.046 <0.001 −0.047 −0.073 to −0.021 <0.001
Average methotrexate AUCs during consolidation 276 −0.025 −0.036 to −0.013 <0.001 −0.025 −0.052 to 0.001 0.062
Albumin level (g/dL) in week 7 of continuation 263 0.512 0.313 to 0.711 <0.001 0.342 0.063 to 0.622 0.017
Triglyceride level (mg/dL) in week 7 of continuation 250 −0.038 −0.054 to −0.021 <0.001 −0.021 −0.038 to −0.003 0.021
Total cholesterol level (mg/dL) in week 7 of continuation 250 −0.122 −0.183 to −0.061 <0.001 −0.073 −0.134 to −0.013 0.018
LDL level (mg/dL) in week 7 of continuation 250 −0.037 −0.120 to 0.047 0.394 −0.035 −0.115 to 0.045 0.396
HDL level (mg/dL) in week 7 of continuation 250 0.135 −0.034 to 0.305 0.119 −0.004 −0.169 to 0.161 0.961
Cortisol level (μg/dL) in week 7 of continuation 263 0.017 −0.003 to 0.037 0.101 0.007 −0.012 to 0.026 0.468
a

P-value after adjustment for bone mineral density Z-score at diagnosis and race

b

P-value after adjustment for bone mineral density Z-score at diagnosis, race, age, and treatment risk

Average of dexamethasone AUCs in weeks 7 and 8 was evaluated for the change of 50 nM*h, and triglyceride, total cholesterol, LDL, and HDL levels were examined for each increment of 20 mg/dL.

Abbreviations: CI, confidence interval; AUC, area under the plasma drug concentration–time curve; LDL, low-density lipoprotein; HDL, high-density lipoprotein

Multivariable analysis for factors associated with BMD Z-scores at week 120

To evaluate factors significant for the changes in BMD Z-score from diagnosis to week 120 with multivariable analysis, we performed best-set model selection analysis with the AIC by using the age group, leukemia risk, BMD Z-score at diagnosis, race, lineage, Z-score changes for height and body mass index from diagnosis to week 120, average of the week 7 and week 8 dexamethasone AUCs, average methotrexate AUCs during consolidation, and albumin, triglyceride, and total cholesterol levels in week 7 of continuation therapy (Supplemental Table S6). The best model fit (AIC 649.924) included the age group, leukemia risk, BMD Z-score at diagnosis, race, average of the week 7 and week 8 dexamethasone AUCs, average methotrexate AUCs during consolidation, and total cholesterol level in week 7. In multivariable analysis with these factors, age 10 years or older at diagnosis (P < 0.001), higher BMD Z-score at diagnosis (P = 0.001), and greater average of the week 7 and week 8 dexamethasone AUCs (P = 0.001) were associated with a greater decrease in BMD Z-score from diagnosis to week 120 (Table 4).

TABLE 4.

Multivariable analysis for factors associated with bone mineral density Z-score changes from diagnosis to week 120

Characteristics Estimate Standard error P
Low vs. standard/high risk −0.461 −1.189 to 0.267 0.216
Race, black vs. white 0.290 −0.072 to 0.651 0.117
Race, other vs. white −0.575 −1.267 to 0.117 0.105
Age, ≥10 vs. 2–9.9 years −0.732 −1.119 to −0.344 <0.001
BMD Z-score at diagnosis −0.224 −0.356 to −0.092 0.001
Average of dexamethasone AUCs for weeks 7 and 8 of continuation −0.047 −0.074 to −0.021 0.001
Total cholesterol level (mg/dL) in week 7 of continuation −0.057 −0.118 to 0.005 0.074
Average methotrexate AUCs during consolidation −0.023 −0.051 to 0.005 0.102

Abbreviations: BMD, bone mineral density; AUC, area under the plasma drug concentration–time curve

Average of dexamethasone AUCs in weeks 7 and 8 was evaluated for the change of 50 nM*h, and total cholesterol was examined for each increment of 20 mg/dL.

Genomic study

We investigated which of 481,281 germline SNP genotypes were associated with BMD Z-score changes from diagnosis to continuation week 120 (Fig. 2A). Table 5 shows the 38 SNPs with P-values of less than 1.0 × 10−4, of which 19 were annotated to 16 genes.

Figure 2. Single-nucleotide polymorphisms that are associated with bone mineral density (BMD) Z-score changes from diagnosis to week 120 of continuation therapy.

Figure 2

Data are adjusted for age at diagnosis, treatment risk, BMD Z-scores at diagnosis, and ancestry group. Manhattan plots (A) and box plots (B and C) for COL11A1 and NELL1 are shown.

Table 5.

Single-nucleotide polymorphisms that are associated with bone mineral density Z-score changes from diagnosis to week 120 and dexamethasone AUC

SNP information
Association with bone mineral density Z-score change from diagnosis to week 120a
Association with dexamethasone AUC
SNPID Gene Risk allele frequency Risk allele P Coefficient P Spearman correlation
rs2622849 COL11A1 0.051 T 2.39E-07 −1.071 0.291 0.063
rs11025915 NELL1 0.025 A 4.07E-06 −1.306 0.003 0.176
rs1986582 0.120 G 7.17E-06 −0.629 0.421 0.048
rs17047225 TLL1 0.050 C 7.51E-06 −0.815 0.964 0.003
rs2668354 SRGAP3 0.659 A 1.00E-05 −0.471 0.307 0.061
rs7514670 0.849 A 1.14E-05 −0.552 0.734 −0.020
rs12127272 0.320 G 1.23E-05 −0.453 0.481 0.042
rs9931454 0.787 C 2.11E-05 −0.495 0.824 0.013
rs11122844 0.192 C 2.22E-05 −0.501 0.729 0.021
rs3849317 0.723 C 3.01E-05 −0.425 0.938 −0.005
rs1151982 0.017 T 3.07E-05 −1.476 0.163 0.082
rs4766635 0.641 A 3.10E-05 −0.421 0.561 0.035
rs885339 0.247 T 3.34E-05 −0.418 0.259 0.068
rs7957299 PPTC7 0.657 C 3.69E-05 −0.371 0.702 0.023
rs17000495 MUC16 0.801 G 4.02E-05 −0.445 0.182 0.079
rs41478351 MGC45800 0.101 C 4.20E-05 −0.665 0.545 0.036
rs16931403 NFIB 0.173 G 4.22E-05 −0.457 0.024 0.136
rs9344006 0.122 G 4.31E-05 −0.524 0.785 −0.016
rs4843860 IRF8 0.763 A 4.47E-05 −0.426 0.022 0.135
rs9352839 0.118 A 4.69E-05 −0.532 0.846 0.012
rs41430546 0.070 G 4.73E-05 −0.754 0.219 0.073
rs3850825 ZNF496 0.240 G 5.01E-05 −0.416 0.884 0.009
rs6817370 0.865 T 5.11E-05 −0.557 0.092 0.099
rs9522086 0.191 A 5.49E-05 −0.442 0.062 0.110
rs2664109 SRGAP3 0.642 A 5.99E-05 −0.402 0.265 0.066
rs1940080 DLG2 0.501 A 6.00E-05 −0.376 0.717 0.021
rs7738642 0.130 T 6.26E-05 −0.497 0.530 −0.037
rs3863992 0.171 A 8.04E-05 −0.478 0.328 0.058
rs11165740 0.360 T 8.38E-05 −0.379 0.187 0.078
rs948640 0.812 C 8.40E-05 −0.454 0.946 −0.004
rs7522071 ZNF496 0.229 T 8.41E-05 −0.411 0.627 −0.029
rs1588571 LOC100129666 0.062 A 8.53E-05 −0.776 0.002 0.181
rs13179406 RNF130 0.890 A 8.54E-05 −0.536 0.754 0.019
rs987341 0.062 T 8.60E-05 −0.758 0.784 0.016
rs4937993 NCAM1 0.520 T 8.75E-05 −0.370 0.013 0.146
rs2297694 C9orf72 0.275 G 9.05E-05 −0.413 0.208 0.075
rs17079966 RNF130 0.865 G 9.22E-05 −0.494 0.834 −0.012
rs16839677 OLFML2B 0.076 A 9.26E-05 −0.692 0.683 −0.024

Abbreviations: SNP ID, single-nucleotide polymorphism identifier according to the dbSNP database; AUC, area under the plasma drug concentration−time curve

a

Adjusted for age, genetic ancestry, treatment risk, and BMD Z-score at diagnosis.

Across the genome, the strongest association of a SNP with BMD Z-score changes from diagnosis to week 120 was observed for a SNP in the COL11A1 gene (rs2622849) in chromosome 1p21.1 (Fig. 2B). The T allele of this intronic SNP was associated with a significant decrease in BMD Z-score (coefficient of −1.071; P = 2.39 × 10−7) (Table 5). Similarly, the A allele of the NELL1 SNP (rs11025915) (Fig. 2C) was associated with a decrease in BMD Z-score (coefficient of −1.306; P = 4.07 × 10−6).

As the dexamethasone AUC was negatively associated with BMD Z-score changes, we evaluated the associations of 38 germline SNP genotypes that are significant for a decrease in BMD Z-score from diagnosis to week 120 with larger dexamethasone AUCs. Five SNPs (13.2%) had P-values of less than 0.05 (Table 5), including NELL1 (the A allele of rs11025915, P = 0.003) and NFIB (the G allele of rs16931403, P = 0.024).

DISCUSSION

We showed that BMD in patients with ALL treated without cranial irradiation significantly decreased by week 120 of continuation therapy and partly recovered by 2 years off therapy. The BMD in most patients with a low BMD Z-score (<−1.5) at diagnosis remained low at week 120 and 2 years off therapy. BMD Z-scores significantly decreased from diagnosis to week 120 in older patients and in those with higher BMD Z-scores at diagnosis, greater dexamethasone exposure, and/or SNPs identified by a GWAS.

The median BMD Z-score at diagnosis in our patients (0.06) was comparable to that in the general population, but the scores ranged from −3.27 to 3.56. As a result of leukemia cell proliferation in the bone marrow and cytokine-mediated osteoclast activity, children with ALL can present with low BMD Z-scores at diagnosis,4 and low Z-scores at diagnosis are associated with persistently low BMD Z-scores during and after therapy. BMD Z-scores at diagnosis were significantly higher in patients aged 10 years or older at diagnosis; however, these patients are considered to have a higher leukemia risk and typically receive higher and more intense doses of chemotherapeutic agents that disturb bone mineralization, resulting in a greater decline in BMD over the course of therapy. Among the clinical characteristics, a decline in height Z-score from diagnosis to week 120 was significantly associated with a decline in BMD Z-score in the same period. BMD and height increase significantly during puberty,2, 19 and normal accruals might have been compromised and/or delayed during chemotherapy, causing significantly more patients in this age group to have a BMD Z-score of less than −1.5 at week 120. The associations of older age and low BMD Z-score at diagnosis with lower BMD during continuation therapy have been described.20

A larger dexamethasone AUC, a known factor for bone morbidity,12 was significantly associated with a decrease in BMD Z-score during therapy. Although glucocorticoids play important roles in BMD deficits, other chemotherapeutic agents can contribute to such deficits. Low albumin and high triglyceride and total cholesterol levels in week 7 of continuation were significantly associated with a decrease in BMD Z-score, although these factors did not remain significant with the AIC and/or in multivariable analysis. Lower albumin levels and older age are associated with a larger dexamethasone AUC.12 Hypoalbuminemia is caused by the administration of asparaginase, which is more frequently used in older patients. Hypertriglyceridemia and hypercholesterolemia, which occur frequently during ALL therapy, are associated with asparaginase activity because asparaginase can inhibit lipoprotein lipase activities.12 Thus, asparaginase may indirectly cause a decline in BMD by increasing the dexamethasone AUC. Methotrexate reportedly reduces the proliferation of pre-osteoblasts and osteoblasts, increases the proliferation of osteoclasts,21 and contributes to calcium imbalance by interfering with renal function.22 However, the methotrexate AUC did not remain significant in the multivariable analysis.

In the GWAS, the 2 SNPs most associated with BMD Z-score change from diagnosis to week 120 were those in the COL11A1 and NFIB genes, which are important in osteogenesis and bone mineralization. COL11A1 encodes the alpha-1 chain of type XI collagen, which is composed of 3 alpha-chain products from COL11A1, COL11A2, and COL2A1.23 The phenotypes of type XI collagenopathies caused by COL11A1 mutations in humans are heterogeneous and are associated not only with syndromes characterized by myopia, midfacial retrusion, and micrognathia but also with skeletal dysplasia. NELL1 is a secreted protein whose expression promotes osteoblast cell differentiation and terminal mineralization and inhibits osteoclast-induced bone resorption.24 NELL-1 overexpression results in craniosynostosis, whereas decreased NELL-1 expression leads to skeletal undermineralization. Administration of recombinant NELL-1 improves BMD in rodents. NELL-1 and NFIB are associated with larger dexamethasone AUCs. NFIB is a cellular transcription factor that plays critical roles in osteoblast proliferation, differentiation, and survival and that regulates cartilage development.25 Nfib and the glucocorticoid receptor gene Nr3c1 co-regulate genes related to lung maturation,26 and NFIB and glucocorticoid receptor are critically involved in the development of milk-secreting alveolar epithelium in the mammary gland.27 Such interactions may alter dexamethasone pharmacokinetics during chemotherapy.

In our study, BMDs partly recovered after patients completed therapy. This result must be interpreted cautiously, as patients who underwent a QCT examination at 2 years off therapy had lower BMD Z-scores at diagnosis and week 120 when compared to those who did not undergo a QCT examination, although there were no differences in other clinical characteristics. However, among patients who were evaluated by QCT at 2 years off therapy, the median BMD Z-score at 2 years off therapy (−0.72) was still lower than that at diagnosis (−0.05) and showed only partial improvement from that at week 120 (−1.13). Survivors treated without cranial irradiation have better BMD recovery after chemotherapy when compared to those who undergo irradiation.3, 28 We evaluated clinical factors associated with changes in BMD Z-score from week 120 to 2 years off therapy. Importantly, at 2 years off therapy, the BMD Z-scores increased by a significantly greater extent in older patients than in younger patients, who did not lose BMD during therapy or gain it after therapy as did older patients. Although there was no significant difference between the age groups, the median BMD Z-score in younger patients was −0.79, compared with −0.26 in older patients. Patients with low BMD Z-scores at diagnosis had low BMD Z-scores not only at week 120 but also at 2 years off therapy. Younger patients with low BMD Z-scores at diagnosis may require long-term follow-up, and it needs to be determined whether they experience a typical physiologic BMD increase after the age of 10 years. In addition, patients with BMD Z-scores of less than −1.5 at 2 years off therapy require close observation and/or intervention.

Interventions to prevent bone loss during ALL therapy may include dietary counseling/supplementation to ensure adequate vitamin D and calcium intake,13 dexamethasone dose adjustment, and/or weight-bearing exercise.29 However, persuading children and families to adhere to dietary modifications may be particularly challenging during ALL treatment. For adolescent and young adult survivors of ALL, supplementation with cholecalciferol and calcium conferred no additional benefit.13 Pharmacokinetics-based adjustment of the dexamethasone doses may compromise the desired anti-leukemia response. Weight-bearing exercise at the frequency and intensity necessary for optimal bone growth is difficult during ALL therapy and is discouraged for patients with osteonecrosis (another chemotherapy-related bone toxicity in ALL). However, it has been reported that low-magnitude, high-frequency mechanical stimulation (LMS) improves or prevents BMD loss in postmenopausal women,30 patients with dystrophinopathies,31 and children who have undergone cancer therapy.32 As the patients need only stand on a vibrating platform for 10 min twice each day, the use of LMS to counter BMD loss during cancer therapy should be evaluated, and we are performing a placebo-controlled randomized study in patients with ALL (NCT03117751). The efficacy of pharmacologic agents such as bisphosphonate and receptor activator of NF-κB ligand (RANKL) inhibitor has been reported in pilot trials,3335 and these agents may be beneficial if a successful treatment approach is determined in the context of ALL therapy.

None of the SNPs that we evaluated reached genome-wide significance (<5 × 10−8), probably because of the limited sample size; therefore, a further study including a replication cohort is required to confirm our findings. However, this is the first GWAS to investigate genetic risk factors for BMD changes in patients with ALL, and 2 SNPs have been found to play critical roles in bone development. Bone density can be evaluated by either QCT or dual X-ray absorptiometry (DXA). Both approaches have strengths and weaknesses, although DXA is more widely used.36, 37 DXA can assess the BMD of the whole body or individual areas and define BMD Z-scores by race-matched references in addition to age and sex. However, DXA measures a 2-dimensional area, with the volumetric result being generated by calculation, and this may lead to an underestimation of BMD in smaller bones. The BMD determination by QCT is volumetric and independent of bone size, and it is not hampered by longitudinal bone growth. Furthermore, the QCT software can correct for the curves in patients with scoliosis. In this study, we presented the trabecular BMD because trabecular bone is much more metabolically active than cortical bone and is considered a more sensitive indicator of skeletal metabolism and response to stresses and interventions.38 Because the QCT reference data are based on the white population14 and the BMD Z-scores in black patients tended to be higher than those in white patients,39 we adjusted the data for BMD Z-score changes and categories with respect to race. As baseline BMD Z-scores were significantly associated with subsequent values, we also adjusted these data to account for baseline values. Although we did not collect bone-fracture data prospectively, low BMD measured by QCT or DXA is associated with future fracture risk.20, 40, 41

In conclusion, BMD Z-scores decrease significantly in children receiving contemporary therapy for ALL without cranial irradiation, and in many cases the scores do not fully recover by 2 years off therapy. Early recognition of BMD changes may facilitate developing strategies to optimize bone health, especially in patients with risk factors identified in this study.

Supplementary Material

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Acknowledgments

Funding sources: This work was supported by grants CA21765, CA02394, and P50 GM115279 from the National Institutes of Health and by ALSAC.

We thank Keith A. Laycock, PhD, ELS, (St. Jude Children’s Research Hospital) for editorial assistance.

Footnotes

Conflict of interest disclosures: The authors have declared no conflicts of interest.

Author contributions

Study concept: Hiroto Inaba, Sue C. Kaste

Study design: Hiroto Inaba, Sue C. Kaste

Data acquisition: Hiroto Inaba, Xueyuan Cao, Alice Han, John C. Panetta, Cheng Cheng, Ching-Hon Pui, Mary V. Relling, Sue C. Kaste

Quality control of data and algorithms: Hiroto Inaba, Xueyuan Cao, Sue C. Kaste

Data analysis and interpretation: Hiroto Inaba, Xueyuan Cao, John C. Panetta, Kirsten Ness, Monika L. Metzger, Jeffrey E. Rubnitz, Raul C. Ribeiro, John T. Sandlund, Sima Jeha, Cheng Cheng, Ching-Hon Pui, Mary V. Relling, Sue C. Kaste

Statistical analysis: Xueyuan Cao, Cheng Cheng

Manuscript preparation: Hiroto Inaba, Xueyuan Cao, Alice Han, Sue C. Kaste

Manuscript editing: All authors

Manuscript review: All authors

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Supplementary Materials

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