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. 2021 Apr 30;16(4):e0250228. doi: 10.1371/journal.pone.0250228

Methylene tetrahydrofolate reductase A1298C polymorphisms influence the adult sequelae of chemotherapy in childhood-leukemia survivors

Iris Elens 1,2,3, Sabine Deprez 4,5, Thibo Billiet 5,6, Charlotte Sleurs 5,7, Veerle Labarque 7,8, Anne Uyttebroeck 7,8, Stefaan Van Gool 9, Jurgen Lemiere 2,7,#, Rudi D’Hooge 1,*,#
Editor: Roland A Ammann10
PMCID: PMC8087097  PMID: 33930029

Abstract

This retrospective correlation study investigated the putative link between methylene tetrahydrofolate reductase (MTHFR) A1298C mutations and chemotherapy-related brain function changes in adult childhood-leukemia survivors. To this end, we determined the relationship between the particular MTHFR1298 genotype (AA, AC or CC) of 31 adult childhood-leukemia survivors, and (1) their CSF Tau and phosphorylated Tau (pTau) levels at the time of treatment, (2) their adult performance intelligence quotient (PIQ), and (3) their regional brain connectivity using diffusion magnetic resonance imaging (dMRI) and resting-state functional MRI (rsfMRI). We confirmed that neuropathology markers Tau and pTau significantly increased in CSF of children after intrathecal methotrexate administration. Highest concentrations of these toxicity markers were found during the induction phase of the therapy. Moreover, CSF concentrations of Tau and pTau during treatment were influenced by the children’s particular MTHFR1298 genotype. CSF Tau (but not pTau) levels significantly dropped after folinic acid supplementation. At adult age (on average 13.1 years since the end of their treatment), their particular MTHFR1298 genotype (AA, AC or CC) influenced the changes in PIQ and cortical connectivity that we found to be related to their childhood exposure to chemotherapeutics. In summary, we suggest that homozygous MTHFR1298CC individuals are more vulnerable to the adult sequelae of antifolate chemotherapy.

1. Introduction

Acute lymphoblastic leukemia (ALL) and non-Hodgkin lymphoma (NHL) account for one third of pediatric malignancies. Long-term survival has increased markedly after the introduction of central nervous system (CNS) prophylaxis [1]. Developmentally adverse cranial irradiation was successfully replaced by intrathecal and high-dose intravenous methotrexate, an anti-folate agent, but the functional sequelae of this treatment continue to be of concern [2]. Executive functioning, and more specifically, processing speed and cognitive flexibility appear to be typically affected in non-irradiated childhood-leukemia survivors [36]. Defects in executive functioning have been linked to defects in white matter integrity, especially in tracts with more prolonged development [7]. Using diffusion tensor imaging (DTI), we previously demonstrated higher fractional anisotropy (FA) and lower orientation dispersion index (ODI) in the left centrum semiovale of childhood-leukemia survivors. Moreover, these structural changes coincided with hypoconnectivity between the inferior temporal gyrus (ITG), and the default mode network (DMN) that is involved in executive functioning [8,9]. Altered functional connectivity of the DMN in non-irradiated childhood-leukemia survivors has been described by others as an adult marker of chemotherapy-induced brain damage [1012].

However, adult sequelae of chemotherapy remain difficult to predict. Younger age [3,6,13,14]and higher doses of intrathecal methotrexate [15,16] have been linked to more adverse outcomes. Also, it has been demonstrated that CSF levels of the microtubule-associated protein Tau–a marker for acute axonal damage–increase after intrathecal methotrexate in the treated children. This increase is especially prominent during the induction phase, during which patients are not supplied with folinic acid (as opposed to later treatment phases) [17]. In addition, CSF levels of pTau were also elevated, possibly signaling even more pervasive brain impact [18]. We were able to link CSF pTau during treatment to adult PIQ, but failed to observe a correlation between intrathecal methotrexate and CSF pTau 14, even though genetic and/or dietary-induced folate disturbances have been shown to induce Tau hyperphosphorylation [19]. This suggests the involvement of intermediary risk factors that modulate the late effects of methotrexate exposure.

In this report, we therefore investigate A1298C mutations in the gene for methylenetetrahydrofolate reductase (MTHFR), one of the main regulatory enzymes of homocysteine metabolism that catalyzes the conversion of 5,10-methylenetetrahydrofolate to 5-methyltetrahydrofolate [1921]. A1298C substitution in the MTHFR gene has been linked to increased risk for executive dysfunction in childhood-leukemia survivors, as opposed to the common C677T mutation [22,23]. We therefore hypothesize that the MTHFR1298 genotype of former patients (AA, AC or CC) might influence some of the previously identified outcomes, shown to be vulnerable to methotrexate exposure, such as (1) Tau and pTau CSF levels during treatment [14,16], (2) adult performance intelligence quotient (PIQ), and (3) functional and structural MRI measures, such as FA and ODI in the left centrum semiovale and resting state functional connectivity (RSFC) between the default mode network (DMN) and the inferior temporal gyrus (ITG) [24].

2. Methods

2.1.Participants and follow-up during treatment

Results were obtained from the same study cohort as reported earlier [14]. In brief, 31 survivors were recruited (ALL: n = 27, NHL: n = 4; mean age at diagnosis 6.4 years; mean age at testing 20.9 years; mean time since end of treatment 13.1 years), who had been treated between 1994 and 2004 according to the EORTC 58881 (1994–1998) or 58951 (1998–2004) protocols. See Tables 1 and 3 for treatment and demographic data. We could retrace CSF levels in 30 (for Tau) and 26 (for pTau) survivors (see [18], for collection and analysis), but some dossiers were incomplete (see Table 2). The available values were pooled as long as fewer than 2 data points per treatment phase were missing.

Table 1. Demographic data of the participants.

MTHFR1298CC MTHFR1298AC MTHFR1298AA P**
Demographics
n 5 17 9
Males (%) 3 (60) 8 (47) 3 (33)
Diagnosis
T-NHL 0 2 2
ALL 5 15 7
Treatment protocol
EORTC 58881 2 6 4
EORTC 58951 3 11 5
• VLR 1 1 1
• AR1 4 15 5
• AR2 0 1 3
SES* 36.50 (13–50) 40.97 (17–55) 41.81 (13–60.5) 0.767
Age at diagnosis 6.8 (1.7–12.6) 6.6 (2.5–13.6) 5.8 (2.2–12.7) 0.364
Time since diagnosis 15.1 (11.6–17) 14.9 (11.6–19.4) 15.6 (13.2–17.3) 0.636
Total dose IT MTX (mg) 142 (86–192) 161 (120–192) 143 (100–192) 0.400
Total dose IV MTX (g) 15 (11–23) 19.7 (12–35) 26 (12–67) 0.315

* Socio-economic index score was calculated by multiplying parental occupation scale value by a weight of 5 and parental education scale by 3, and then summing these products as described earlier [8]. High score indicates high socio-economic status.

** Statistical analysis was based on one-way analysis of variance (ANOVA) with group (MTHFR1298AA, AC and CC) as independent factor. Abbreviations: AR: Average risk; IT: Intrathecal; IV: Intravenous; MTHFR: Methylenetetrahydrofolate reductase; MTX: Methotrexate; SES: Socio-economic status, VLR: Very low risk.

There were no differences between the genotype groups in terms of socio-economic index and therapeutic.

Table 3. Treatment schedules slightly differ between protocols EORTC 58881 and 58951.

Phase Drugs LP Duration
EORTC 58881 EORTC 58951
Diagnosis 1
Induction
Induction 1a Prednisolone Prednisolone or dexamethasone* 2–3 Day 1–35
Vincristine Vincristine
Daunorubicine Daunorubicine
Single IT Single (VLR) or triple IT (AR1 and AR2)**
E. Coli E. Coli asparaginase
IV methotrexate + folinic acid (AR2)
Cyclophosphamide (AR2)***
Consolidation 1b Single IT Single (VLR) or triple IT (AR1 and AR2)** 4–5 Day 36–62
Cyclophosphamide Cyclophosphamide (AR1 and AR2)
Cytarabine Cytarabine
6-Mercaptopurine 6-Mercaptopurine
E. Coli asparaginase*
Interval 6-Mercaptopurine 6-Mercaptopurine 6–9 Day 1–56
IV methotrexate + folinic acid*** IV methotrexate + folinic acid***
Single IT Single (VLR) or triple IT (AR1 and AR2)**
Cytarabine*
Reinduction Dexamethasone Dexamethasone 10 Day 1–49
Vincristine Vincristine
Doxorubicine Doxorubicine
Cyclophosphamide Cyclophosphamide (AR1 and AR2)
Cytarabine Cytarabine
Single IT Single (VLR) or triple IT (AR1 and AR2)**
6-Thioguanine 6-Thioguanine
E. Coli E. Coli asparaginase
Maintenance 6-Mercaptopurine 6-Mercaptopurine 11–15 74 weeks
PO Methotrexate PO Methotrexate
Single IT (CNS positive) Triple IT (AR1 and AR2)
IV methotrexate + folinic acid (CNS positive) IV methotrexate + folinic acid (AR2)
E. Coli asparaginase (AR2)
Vincristine* (AR1 and AR2)
Prednisolone or dexamethasone* (AR1 and AR2)

* According to randomization

** Single IT: Methotrexate: Less than 1 year: 6 mg, 1–2 year 8 mg, 2–3 years 10 mg, 3 years and more: 12 mg; Triple IT: Methotrexate: Less than 1 year: 6 mg, 1–2 year 8 mg, 2–3 years 10 mg, 3 years and more: 12 mg; Cytarabine: Less than 1 year: 15 mg, 1–2 year 20 mg, 2–3 years 25 mg, 3 years and more: 30 mg; Hydrocortisone: Less than 1 year: 7.5 mg, 1–2 year: 10 mg, 2–3 years: 12.5 mg, 3 years and more: 15 mg.

*** Cyclophosphamide 1000mg/m2, methotrexate 5000mg/m2 + leucovorin 12 mg/m2/6h starts at 36h. Abbreviations: AR: Average risk; CNS: Central nervous system; IT: Intrathecally; IV: Intravenously; PO: Orally; VLR: Very low risk.

Table 2. Some of the patient dossiers in this study were incomplete.

MTHFR1298CC MTHFR1298AC MTHFR1298AA
Tau, diagnosis - 5 1
Tau, LP2 - 2 1
Tau, LP5 - 1 -
Tau, LP6 - - -
Tau, LP7 - - -
Tau, induction - - -
Tau, interval + reinduction - - -
Tau, maintenance - 2 -
Tau, total treatment - 1 -
pTau, diagnosis 2 6 4
pTau, LP2 1 5 4
pTau, LP5 1 2 3
pTau, LP6 1 2 3
pTau, LP7 1 2 2
pTau, induction 1 2 2
pTau, interval + reinduction 1 2 1
pTau, maintenance 3 -
pTau, total treatment 1 2 2

This table lists the missing Tau and pTau values in the different phases of the therapeutic schedule.

The study was approved by the Institutional Ethical Commission of the University Hospital Leuven (UZ Leuven, dossier no. B322201419664). Written informed consent was obtained from all participants (including parents in case of minors). An informed consent form (ICF) for every participant was provided according to the instructions and guidelines of the Commission. These instructions included a template of the form as well as general instructions (e.g., that the form must be drawn up in a language that is clear and understandable to the participant; https://www.uzleuven.be/nl/ethische-commissie-onderzoek/templates-en-interne-richtlijnen-bij-starten-van-dossier-bij-ec-onderzoek/informed-consent-formulier-icf-opstellen). The ICF is understandable to people who are not health professionals and who are unfamiliar with professional or technical language (i.e., understandable for a 12-year-old). Briefly, the ICF informed participants (in their mother tongue) about the aims of the study, content of the examination, and possible risks of participation and discovery of yet unknown neurostructural findings. Participants received further oral clarification about the contents of the informed consent document, and were particularly informed about the possibility to withdraw from the study, at any time, without any need for justification. The instructions of the UZ Leuven Commission are consistent with the recommendations of the European expert group on clinical trials (implementation of EU Regulation No. 536/2014 about clinical trials on medicinal products for human use; https://ec.europa.eu/health/sites/health/files/files/eudralex/vol-10/2017_01_26_summaries_of_ct_results_for_laypersons.pdf

2.2.MTHFR genotyping

Obtained from a blood sample in survivors at the time of cognitive testing and image aquisition, DNA segments were amplified by polymerase chain reaction (Promega® PCR kit) using GoTaq® reaction buffer, 1.5 mM MgCl2, 100 ng of genomic DNA, 0.2 μM of forward and reverse primer, respectively and 1.25 U of Taq polymerase, according to the following protocol: (1) 5-min initial denaturation cycle at 95°C and (2) 35 cycles each of 30 s at 95°C, 30 s at 58°C and 30 s at 72°C. Primers were based on Krull et al. [23]. Resulting DNA fragments of 138bp were sequenced and genotyped at the respective positions using CLC workbench® software.

2.3.Cognitive testing and imaging

Adult intelligence was measured using the Wechsler Adult Intelligence Scale (WAIS IV) [25]. MRI scans were acquired at the Leuven University Hospital using a 3T Philips (Achieva) MRI scanner and a 32-channel phased-array head coil. After preprocessing and quality control, the final sample size was 30 for diffusion-weighted magnetic resonance imaging (dMRI) and 28 for resting-state functional MRI (rsfMRI). Image acquisition, selection of imaging outcome measures and image methodology were as previously described [8]. Based on this previous study, higher fractional anisotropy (FA) and lower orientation dispersion index (ODI) in the left centrum semiovale, and lower connectivity between the default mode network and the inferior temporal gyrus (DMN-ITG) were defined as imaging outcome measures.

2.4.Statistical analyses and data availability

Graphs were designed in Graphpad Prism 5. Concentrations of biomarkers were logarithmically transformed. Statistical analyses were performed with SPSS software (v20). Paired sample t-tests were used to compare CSF biomarker levels between treatment phases and lumbar punctures. One-way ANOVA was used to assess differences in single or pooled CSF biomarker levels with “genotype” as factor (MTHFR1298AA, -AC or -CC), followed by post-hoc least significant difference (LSD) testing. Repeated-measures two-way ANOVA was used to assess the differences in CSF biomarker levels between participant groups with “genotype” as between factor and “time of sample” as repeated measure, followed by post-hoc least significant difference (LSD) testing.

Correlations were calculated as Pearson’s r (pooled CSF Tau or pTau, PIQ, FA and ODI at the left centrum semiovale and the DMN-ITG RSFC), whereas correlations including discrete genotypes (AA, AC, CC) were assessed using Spearman’s rank correlation coefficients. We used one-sided correlational testing in our sample of former patients that was further subdivided in MTHFR1298 genotype groups. All our hypotheses were indeed distinctly one-sided as it is well established that (1) reduced folate heightens CSF Tau and pTau [17,18,24,25], (2) cognitive performance is reduced in some survivors of childhood leukemia [23,26], (3) MTHFR genotype adversely affects cognitive outcome in child leukemia survivors [22,23], and (4) reduced brain connectivity affects cognitive performance [10].

Raw data that refer to the figures are included as Supplementary Materials. Any further information or data can be obtained from the corresponding author on simple request.

3. Results

Highest levels of CSF biomarkers were recorded during the induction phase of the treatment (Fig 1A and 1B). Tau levels were different between “first lumbar puncture (LP1)” and “pooled values of induction phase (LP2-5)”, between “LP2-5” and “pooled values of interval + reinduction phase (LP6-10)”, and between “LP6-10” and “pooled values of maintenance phase (LP11-15)” (paired sample t-test, t = -4.671, 3.158, 3.046, df = 24, 30, 28, p < 0.001, 0.004, 0.005, respectively). Levels of pTau were different between “LP1” and “LP2-5”, between “LP2-5” and “LP6-10”, and between “LP6-10” and “LP11-15” (paired sample t-test, t = -5.837, 1.200, 1.069, df = 17, 24, 22, p < 0.001, 0.242, 0.297, respectively). Both CSF Tau and pTau increased after the first intrathecal methotrexate administration, LP1 versus LP2 (paired sample t-test, t = -2.985 and -4.128, df = 24 and 17, p = 0.006 and 0.001, respectively). Biomarkers remained elevated during the induction phase, LP1 versus LP5 (paired sample t-test, t = -3.519 and -2.524, df = 23 and 16, p = 0.002 and 0.023, respectively for CSF Tau and pTau, respectively). Pooled CSF Tau and p-Tau were strongly correlated (Pearson’s r = 0.864, p < 0.001), but only CSF Tau (but not pTau) dropped significantly after the induction phase, P2-5 versus P6-10 (paired sample t-test, t = 3.158 and 1.200, df = 30 and 24, p = 0.004 and 0.242, for CSF Tau and pTau, respectively).

Fig 1.

Fig 1

After an initial rise during the induction phase, CSF levels of Tau (A), but not those of pTau (B), declined during subsequent treatment phases. Treatment phases (diagnosis, induction, interval and maintenance) are further detailed in Table 2. Paired-sample t-tests were used for post-hoc comparison of CSF biomarker levels between treatment phases with * p < 0.05; ** p<0.01; *** p<0.001. Data are means with SEM (error bars).

Fig 2 also illustrates the parallel baseline shift in biomarker levels between MTHFR1298 genotypes. In fact, baseline pTau values (i.e., prior to intrathecal methotrexate administration) were already different between genotypes, whereas baseline Tau levels were marginally different (Fig 2A and 2B, one-way ANOVA, F2,22 = 2.384, p = 0.058 and F2,16 = 2.894, p = 0.043 for CSF Tau and pTau, respectively). More specifically, post hoc LSD testing indicated that baseline CSF pTau in MTHFR1298CC genotypes differed significantly from those in AA homozygotes (M = 0.273, SD = 0.143, p = 0.036) and in heterozygotes (M = 0.304, SD = 0.128, p = 0.015). However, baseline CSF pTau did not differ between AA homozygotes and heterozygotes (M = 0.031, SD = 0.106, p = 0.386). Fig 2A and 2B furthermore shows that MTHFR1298 genotype significantly influenced biomarker response to the first intrathecal methotrexate injection (two-way ANOVA with genotype and time of sample as factors, LP1 versus LP2: F2,22 = 3.802 and F2,16 = 3.366, p = 0.019 and 0.031 for CSF Tau and pTau, respectively). Post-hoc LSD tests showed significant differences between MTHFR1298CC and both MTHFR1298AA (p = 0.007 and 0.028 for CSF tau and pTau, respectively) and MTHFR1298AC (p = 0.022 and 0.011 for CSF tau and pTau, respectively), but not between the latter two groups (p = 0.19 and 0.38 for CSF Tau and pTau, respectively. There was no time x genotype interaction.

Fig 2. During the induction phase, CSF levels of Tau and pTau are consistently different between the methylenetetrahydrofolate reductase (MTHFR) genotype groups.

Fig 2

Panels A-B depict mean CSF Tau (A) and pTau (B) levels (± SEM) in subsequent lumbar puncture (LP) samples (LP1: diagnosis, LP2-5: Induction) in the three genotype groups. Vertical arrows at the top of each figure represent the intrathecal methotrexate (MTX) injections after each LP. The first MTX administration produced a significant rise in CSF Tau and pTau levels. Notably, biomarker levels were already higher in the MTHPR1298CC group prior to MTX injection (LP1). Panels C-D depict CSF Tau (C) and pTau (D) levels during the induction phase (LP2-5) in the three genotype groups. Post-MTX, pooled Tau and pTau levels were highest in MTHFR1298CC homozygotes, intermediate in heterozygotes. MTHFR genotype is indicated with color in all panels (red: MTHFR1298CC, blue: MTHFR1298AC, black: MTHFR1298AA). Appropriate ANOVA was followed by post-hoc LSD testing with * p < 0.05; ** p < 0.010; *** p<0.001.

During the induction phase, the MTHFR1298CC group presented the highest concentrations of CSF Tau and pTau (LP2-5), whereas MTHFR1298AC levels were situated in between the two other groups (Fig 2C and 2D, one-way ANOVA, F2,28 = 5.795 and F2,23 = 3.310 and p = 0.004 and 0.028 for CSF Tau and pTau, respectively), with post-hoc LSD test comparing (1) MTHFR1298AA versus MTHFR1298CC genotypes (p = 0.002 and 0.009 for CSF Tau and pTau, respectively), (2) MTHFR1298AC versus MTHFR1298CC genotypes (p = 0.057 and 0.037 for CSF Tau and pTau, respectively), and (3) MTHFR1298AC versus MTHFR1298AA genotypes (p = 0.012 and 0.117).

Fig 3A and 3B illustrates that CSF Tau, but not pTau, was still elevated at the beginning of the interval phase (LP6, one-way ANOVA, F2,28 = 4.306 and F2,22 = 1.921, p = 0.012 and 0.085, respectively), post-hoc LSD demonstrated significantly higher CSF Tau in MTHFR1298CC compared to MTHFR1298AA (p = 0.004) and MTHFR1298AC genotypes (p = 0.015), whereas the latter groups did not differ significantly (p = 0.14). The difference in CSF Tau level disappeared after intravenous folinic acid supplementation (one-way ANOVA, F2,27 = 1.880, p = 0.086), whereas the significant “genotype x sample” interaction confirms what is evident in the figure, namely that this supplementation only had an effect of the high levels in the MTHFR1298CC group (two-way repeated-measures ANOVA, F2,27 = 2.676, p = 0.044). During the maintenance phase CSF Tau no longer differed between the three genotypes, whereas CSF pTau did (Fig 3C and 3D, one-way ANOVA, F2,26 = 1.620 and F2,25 = 2.970, p = 0.109 and 0.035, respectively). Post-hoc LSD confirmed significantly higher CSF pTau concentrations in MTHFR1298CC compared to MTHFR1298AA (p = 0.012) and MTHFR1298AC genotypes (p = 0.034), but not between MTHFR1298AC and AA genotypes (p = 0.2).

Fig 3. During the latter treatment phases, intravenous folinic acid administration reduced the highly elevated CSF levels of Tau (but not pTau) in methylenetetrahydrofolate reductase (MTHFR) MTHFR1298CC individuals.

Fig 3

Methotrexate (MTX) treatment was continued (black vertical arrows at the top of each figure). Panels A-B depict CSF Tau (A) and pTau (B) levels during the interval and reinduction phases (lumbar puncture, LP6-10). Initially elevated CSF Tau (but not pTau) levels (LP6), equalized after intravenous folinic acid administration (LP7-10, green vertical arrows). Panels C-D depict CSF biomarker levels during the maintenance phase. CSF pTau differed significantly between genotypes (D), whereas Tau did not (C). MTHFR genotype is indicated with color in all panels (red: MTHFR1298CC, blue: MTHFR1298AC, black: MTHFR1298AA). Appropriate ANOVA was followed by post-hoc LSD with * p < 0.05; ** p < 0.010; *** p< <0.001.

Notably, we found that genotype and CSF levels of Tau as well as pTau were significantly correlated (Spearman’s rho = -0.497 and -0.406, p = 0.002 and 0.020; respectively). Moreover, MTHFR1298 genotype was significantly correlated with adult PIQ (one-sided Spearman’s rho = 0.340, p = 0.036). Mean PIQ was 93.8, 93.4 and 106.7 in the CC, AC and AA genotype groups, respectively. Fig 4A–4D depicts MRI results that indicate that DMN-ITG RSFC and FA (but not ODI of the left centrum semiovale) correlated significantly with the MTHFR1298 genotype (one-sided Spearman’s rho = 0.394, -0.345 and 0.050, p = 0.016, 0.034 and 0.398, respectively).

Fig 4. Methylenetetrahydrofolate reductase (MTHFR) genotype correlates with differences in adult brain connectivity and performal IQ in childhood-cancer survivors.

Fig 4

Panels A-C depict different functional brain connectivity parameters derived from MRI scans, based on our previous study [8], in adult survivors with diverse MTHFR genotype. Fractional anisotropy (FA, panel A), but not orientation dispersion index (ODI, panel B) in the left centrum semiovale, was moderately correlated with MTHFR genotype. Also, functional connectivity between the default mode network (DMN) and the inferior temporal gyrus (ITG) is moderately correlated with MTHFR1298 genotype (C). Finally, performal intelligence quotient (PIQ) is moderately correlated with MTHFR genotype (D). At the top of each figure, r values are 1-sided Spearman’s rank correlations (with resp. p values).

4. Discussion

We examined the effect of MTHFR1298 mutations on methotrexate-induced increases in CSF neurotoxicity markers in children treated for leukemia, but even more importantly, also on their adult PIQ, and MRI measures related to frontal connectivity and executive functioning. We observed a marked increase in CSF Tau and pTau levels in children after the first intrathecal methotrexate administration. Highest concentrations of these markers were measured during the induction phase, and MTHFR genotype influenced their levels after methotrexate administration and folinic acid supplementation. Intrathecal methotrexate showed the highest impact on CSF toxicity markers in children with MTHFR1298CC genotype compared to MTHFR1298AA, whereas heterozygotes displayed an intermediate response. Moreover, we found indications that the MTHFR genotype still influenced adult PIQ as well as cortical connectivity, many years after treatment.

Methotrexate-induced increases in CSF Tau levels is modulated by the CNS folate status of the children. By inhibiting dihydrofolate reductase, methotrexate depletes the pool of active folates. Besides, methotrexate increases renal folate excretion and inhibits folate uptake into the CSF [27]. The acute rise in CSF Tau after intrathecal methotrexate could be attributed to reduced CSF folate levels during the induction phase [17,18,25,2730]. Despite continued intrathecal and intravenous methotrexate, CSF Tau significantly declined after systemic folinic acid supplementation, which suggests that the supplementation indeed attenuates the toxicity of the anti-folate regimen. This is in line with previous observations by Winick et al. [31], who reported unexpected signs of acute neurotoxicity, including seizures and other neurological symptoms, in 18% of their children receiving intrathecal MTX. They found that folinic acid supplementation indeed prevented these symptoms in 24 subsequently entered patients.

Notably, folate receptor alfa–one of the two pathways by which folates (including folinic acid) and methotrexate enter the cell–has a higher affinity for folinic acid than for methotrexate [32]. Systemic folinic acid might saturate these receptors, diminish uptake of methotrexate and prevent acute toxicity. We observed that, unlike CSF Tau, CSF pTau failed to respond to folinic acid supplementation. It has been argued that the difference in half-life of CSF Tau and pTau cannot account for this discrepancy [18]. The fact that CSF pTau remained elevated after the induction phase (as opposed to CSF Tau) might be related to the increase in CSF homocysteine during later stages of treatment [28]. This finding is consistent with an earlier report linking hyperhomocysteinemia with attenuated expression of protein phosphatase 2A, which dephosphorylates pTau to Tau [19].

Our data are also consistent with the general notion that genetic constitution plays a crucial part in chemotherapy-induced brain toxicity [22,23,26,33,34]. MTHFR1298 genotype influenced the levels of CSF Tau and pTau, which could be at least one of the reasons why we previously failed to find a correlation between intrathecal methotrexate dose and CSF pTau levels [14]. In the present study, MTHFR1298CC homozygotes presented with the highest levels of CSF Tau, followed by heterozygotes. Notably, the latter group demonstrated a comparable response to the first intrathecal methotrexate injection as MTHFR1298CC individuals. This suggests that MTHFR1298 polymorphisms may only become relevant when CSF folate levels are challenged. Indeed, the differences between genotypes disappeared after folinic acid supplementation, also indicating that MTHFR1298CC individuals in particular might benefit from this intervention.

Reportedly, polymorphisms in the MTHFR gene neither affect white matter structure or function, nor intelligence scores, in healthy individuals. However, we propose that certain MTHFR genotypes could be more vulnerable than others to the acute and late effects of MTX exposure. There are several indications that the proposed interaction would be physiologically plausible, consistent with some other reports [22,23]. In the present study, CSF pTau (but not Tau) levels continued to differ between MTHFR1298AA and MTHFR1298CC genotypes during the maintenance phase. Additionally, other potentially neurotoxic compounds, such as homocysteine, have been shown to increase after intrathecal MTX [27,28]. Although the proposed interaction might still be debated [34,35], we suggest that the genetically influenced activity of MTHFR could interact with chemotherapy-induced brain folate depletion, which may enhance Tau phosphorylation and concomitant neural toxicity [36,37].

Furthermore, polymorphisms of the MTHFR gene correlated with defects in functional connectivity in the brain of adult childhood-cancer survivors. We report that individuals with the MTHFR1209CC genotype presented the highest FA at the left centrum semiovale. A drug that affects white matter integrity would increase anisotropy especially in brain regions with many crossing fibers [8,38], such as the centrum semiovale, where corpus callosum, corticospinal tract and superior longitudinal fasciculus (SLF) intersect. Such regions have been shown to be especially vulnerable to the acute effects of chemotherapy [7]. Morioka et al. [7] performed DTI in 17 children with ALL and NHL, before and after chemotherapy, and reported defects in corpus callosum and frontal white matter. Such white matter sensitivity has been demonstrated both in vitro [39] and in vivo [38,40]. A possible explanation for this could be that oligodendrocytes are particularly sensitive because of their high metabolic activity. Additionally, suppressed CNS methylation, resulting from folate alterations, may hinder synthesis of myelin basic protein (MBP), a key component of the myelin sheet [21,41,42]. A healthy myelin sheath not only enhances nerve impulse propagation, it also protects axonal fibers against noxious influences [43]. Therefore, defects in the myelination process renders later developing tracts (such as SLF) especially at risk for chemotherapy-induced injury. Since long associative fibers (e.g., SLF) are crucial role for connecting DMN to other brain areas [44], the correlation between DMN-ITG connectivity and MTHFR1298 polymorphisms is of particular interest. Indeed, we observed that genetically determined, decreased MTHFR activity coincided with lower connectivity between DMN and ITG.

Supporting information

S1 Data

(XLSX)

Acknowledgments

We are grateful to the participants who contributed to this study, and researchers Elise Bossuyt, Charlotte van Soest, Hannelore Van Gool, Trui Vercruysse, Linde Van den Wyngaert, Femke Pauwels and Lien Solie, who made this work possible. The authors are also grateful to Prof. Dr. Koen Luyckx for statistical advice, Dr. Hugo Vanderstichele and Fujirebio Europe NV for practical and logistic help with collecting and analyzing the CSF samples, Prof. Dr. Jan Cools and Nicole Menten for their assistance in MTHFR genotyping and the pediatric oncology team for their dedicated care for childhood-cancer patients.

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

This study was supported by the charity-based Olivia Hendrickx Research Fund (www.olivia.be) in the form of funding awarded to IE, the University of Leuven, and Leuven University Hospital. Icometrix provided support in the form of a salary for TB. The specific roles of this author are articulated in the ‘author contributions’ section. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Loo Keat Wei

10 Jun 2020

PONE-D-19-35942

Methylene tetrahydrofolate reductase A1298C polymorphisms influence the adult sequelae of chemotherapy in childhood-leukemia survivors

PLOS ONE

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NV for practical and logistic help with collecting and analyzing the CSF samples, Prof. Dr. Jan Cools and

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Reviewer #1: Thank-you for the opportunity to review this very interesting manuscript looking at the relationship between folate pathway polymorphisms and cognitive late effects following chemotherapy treatment. The authors are building on studies that proport various alleles in the MTHFR gene place children at increased risk of the side effects of chemotherapy treatment with anti-folate medications, specifically methotrexate. Whilst this is novel research that extends the current literature by including imaging and cognitive outcomes in adults treated as children, I have some concern regarding the strong conclusions made by the authors given the very small number of patients in two of the allele groups.

In the methods the authors provide the number of participants for which Tau measurements were available at each of the treatment timepoints. However, there is no information on what allele group the missing participants were part of. It is therefore possible that the CC or AA groups could be even smaller for some of the analyses undertaken. This is of significant concern particularly for the CC group which only accounts for 5 participants. A breakdown of which group each of the ‘missing’ participants was part of for each of the timepoints is recommended to provide clarity regarding this issue.

The authors also frequently refer to data and descriptions that have been previously published. Although this is a widely accepted practice, it makes the data challenging to accurately place and interpret at times. Providing some minimal information on the sample, imaging approach etc. would be helpful to the reader.

In regards to the results section, I am somewhat confused as to why information that is provided in the results is repeated in the figure legends. I would suggest that the figure legends simply identify what is represented by the figure, rather than repeating the analyses that were undertaken and the outcomes.

We are also not provided with any indication of how these participants perform in regards to their performance IQ and whether any participants exhibit clinically meaningful deficits in this area. This makes the meaningfulness of the relationship described between IQ and the alleles difficult to make sense of.

While I appreciate the approach taken by the authors to investigate this interesting question, the statements made in the conclusion are considered strong given the sample size and range of outcome measures. This is essentially a correlational study, however the wording in the conclusion suggests a causal relationship has been tested. This is somewhat misleading, particularly given that some of the possible relationships may not have been identified for the less common alleles because of a lack of power. Furthermore, some of the relationships identified are weak (e.g. correlation between PIQ and allele), but this has not been explicitly discussed in regards to the implications for the findings. The correspondence between these findings and those of Kamdar etc. who investigated these same alleles is also not covered in any detail in the conclusion, despite the fact that several of the findings are disparate.

There are a number of typos and oversights in the manuscript that are outlined below:

In the hypotheses the authors refer to “read-outs”. It is unclear what this means, and whether they are referring to outcomes.

In Table 1:

• Abbreviations of VLR, AR1 and AR2 are used but not explained. There should be reference to these here even though they are described in the following table.

• SES – the authors make reference to ‘as described earlier’ but there is no description prior to this in the document. If the authors are referring to their previous publication then this should be clearly indicated here, with the reference provided.

In Table 2:

*** are used to refer to methotrexate and cyclophosphamide, but only MTX + leucovorin rescue is highlighted in the footnotes.

Figure 1 – error in line 5, ‘vor’

Figure 2 description line 3 – but slightly not Tau?

Figure 4 – Line 2, missing M in THFR

In discussion – when discussing ODI, the comment is made (but slightly not ODI).

Sentence ‘Particular white matter sensitivity…..’ is not immediately interpretable. Requires further explanation.

Finally, in regards to allowing access to the data, while the authors have responded with 'yes' to this question, it is then stated that the data is only available on request. This requires amendment.

**********

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Reviewer #1: No

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PLoS One. 2021 Apr 30;16(4):e0250228. doi: 10.1371/journal.pone.0250228.r002

Author response to Decision Letter 0


24 Nov 2020

Leuven, September 26, 2020

Dear Editor,

Thank you for your essentially positive response to our manuscript. We addressed all reviewer comments below in our point-by-point reply. We appreciated the opportunity to improve our manuscript.

We hope the revised manuscript is now eligible for publication in PLoS One.

We apologize for the delay in revising the manuscript. As explicated before has the COVID-19 crisis hindered the availability of the first author, currently working as a medical doctor.

On behalf of all authors,

Iris Elens

Rudi D’Hooge

Biological Psychology, KU Leuven, Belgium

We identified the following major comments:

[…]

I have some concern regarding the strong conclusions made by the authors given the very small number of patients in two of the allele groups.

Authors’ reply:

Also see comment (3) and (6). We deleted the concluding paragraph and revised the discussion.

In the methods the authors provide the number of participants for which Tau measurements were available at each of the treatment timepoints. However, there is no information on what allele group the missing participants were part of. It is therefore possible that the CC or AA groups could be even smaller for some of the analyses undertaken. This is of significant concern particularly for the CC group which only accounts for 5 participants. A breakdown of which group each of the ‘missing’ participants was part of for each of the timepoints is recommended to provide clarity regarding this issue.

Authors’ reply:

This information was added to the revised manuscript in table 1.

The authors also frequently refer to data and descriptions that have been previously published. Although this is a widely accepted practice, it makes the data challenging to accurately place and interpret at times. Providing some minimal information on the sample, imaging approach etc. would be helpful to the reader.

Authors’ reply:

We are not entirely sure to which descriptions the reviewer refers, we provided more details of several of the cited studies. Also, we thoroughly revised the discussion, toned-down conclusion statements and referred more carefully to published results. As a result, almost every sentence of the discussion was rewritten or revised to address this comment.

In regards to the results section, I am somewhat confused as to why information that is provided in the results is repeated in the figure legends. I would suggest that the figure legends simply identify what is represented by the figure, rather than repeating the analyses that were undertaken and the outcomes.

Authors’ reply:

On rereading, we found our figure legends indeed quite confusing and often redundant. Legends were completely rewritten and now provide a concise description of the figures.

We are also not provided with any indication of how these participants perform in regards to their performance IQ and whether any participants exhibit clinically meaningful deficits in this area. This makes the meaningfulness of the relationship described between IQ and the alleles difficult to make sense of.

Authors’ reply:

This information was added to the revised manuscript, in the ‘results’ section.

While I appreciate the approach taken by the authors to investigate this interesting question, the statements made in the conclusion are considered strong given the sample size and range of outcome measures. This is essentially a correlational study, however the wording in the conclusion suggests a causal relationship has been tested. This is somewhat misleading, particularly given that some of the possible relationships may not have been identified for the less common alleles because of a lack of power. Furthermore, some of the relationships identified are weak (e.g. correlation between PIQ and allele), but this has not been explicitly discussed in regards to the implications for the findings. The correspondence between these findings and those of Kamdar etc. who investigated these same alleles is also not covered in any detail in the conclusion, despite the fact that several of the findings are disparate.

Authors’ reply:

We agree with the reviewer that our observations should be treated with caution and might even be considered to be preliminary in many respects. We revised the discussion extensively and toned down all our statements that could be perceived as “too bold” for such a correlational study. We also deleted the last sentence of the abstract and revised the penultimate sentence. We do not understand why this reviewer writes that the findings of Kamdar et al. are disparate from ours. In fact, Kamdar et al reported, for instance, that “survivors with MTHFR 1298AC/CC genotypes scored, on average, 13 points lower on TMTB than those with MTHFR 1298AA genotype” (Pediatr Blood Cancer 57: 454–460, 2011).

We identified the following minor comments:

In the hypotheses the authors refer to “read-outs”. It is unclear what this means, and whether they are referring to outcomes.

In Table 1:

Abbreviations of VLR, AR1 and AR2 are used but not explained. There should be reference to these here even though they are described in the following table.

SES – the authors make reference to ‘as described earlier’ but there is no description prior to this in the document. If the authors are referring to their previous publication then this should be clearly indicated here, with the reference provided.

In Table 2: *** are used to refer to methotrexate and cyclophosphamide, but only MTX + leucovorin rescue is highlighted in the footnotes.

Figure 1 – error in line 5, ‘vor’

Figure 2 description line 3 – but slightly not Tau?

Figure 4 – Line 2, missing M in THFR

In discussion – when discussing ODI, the comment is made (but slightly not ODI)

Sentence ‘Particular white matter sensitivity…..’ is not immediately interpretable. Requires further explanation

in regards to allowing access to the data, while the authors have responded with 'yes' to this question, it is then stated that the data is only available on request. This requires amendment.

Cecilia Papp wrote for PLOS ONE: "From all participants (including parents in case of minors), written informed consent was obtained." could you please also add the consent statement to your ethics statement in the methods section of your manuscript.

This information had been added to the manuscript.

All these comments have been addressed.

Attachment

Submitted filename: Rebuttal Letter.docx

Decision Letter 1

Loo Keat Wei

4 Jan 2021

PONE-D-19-35942R1

Methylene tetrahydrofolate reductase A1298C polymorphisms influence the adult sequelae of chemotherapy in childhood-leukemia survivors

PLOS ONE

Dear Dr. Rudi D’Hooge,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

==============================

ACADEMIC EDITOR: Please refer to the Additional Editor Comments listed below.

==============================

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We look forward to receiving your revised manuscript.

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Keat Wei Loo

Academic Editor

PLOS ONE

Additional Editor Comments (if provided):

Some minor errors detected" their MTHFR1298 genotype influenced changes in PIQ". It is unclear that which MTHFR genotype are they referring to. It is unclear that which MTHFR genotype are they referring to. It is also unclear what is missing data Tau 2, 7, ....listed in the table. It is also unclear what is missing data Tau 2, 7, ....as listed in the table. This sentence is unclear "They were made aware that they could withdraw at any time from the study, without justification as to why they did so. ". Typo "PIQ was 93.800, 93.411 and 106.714 for CC, AC and AA genotype, respectively' & 'We report that individuals with the MTHFR1209CC genotype presented the highest FA at the left centrum semiovale' & 'This is in line with previous observations. Winick et al.33 reported ........."

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PLoS One. 2021 Apr 30;16(4):e0250228. doi: 10.1371/journal.pone.0250228.r004

Author response to Decision Letter 1


18 Mar 2021

Rebuttal letter – revision R3

Manuscript PONE-D-19-35942R1: “Methylene tetrahydrofolate reductase A1298C polymorphisms influence the adult sequelae of chemotherapy in childhood-leukemia survivors” by Elens et al.

Rebuttal letter by Iris Elens and Rudi D’Hooge, on behalf of all co-authors

University of Leuven, Belgium

We revised our manuscript according to the following “Additional Editor Comments”:

Some minor errors detected" their MTHFR1298 genotype influenced changes in PIQ". It is unclear that which MTHFR genotype are they referring to. It is unclear that which MTHFR genotype are they referring to. It is also unclear what is missing data Tau 2, 7, ....listed in the table. It is also unclear what is missing data Tau 2, 7, ....as listed in the table. This sentence is unclear "They were made aware that they could withdraw at any time from the study, without justification as to why they did so. ". Typo "PIQ was 93.800, 93.411 and 106.714 for CC, AC and AA genotype, respectively' & 'We report that individuals with the MTHFR1209CC genotype presented the highest FA at the left centrum semiovale' & 'This is in line with previous observations. Winick et al.33 reported ........."

Not all of these comments were clear to us, but we accept that some of these parts were not written as clearly as possible.

Changes in the revised manuscript R3:

(1) It is also unclear what is missing data Tau 2, 7, ....listed in the table. It is also unclear what is missing data Tau 2, 7, ....as listed in the table.

We accept that this was not very clear. We therefore removed these numbers of missing data from Table 1, and included a new Table 2 that lists the different missing data from the incomplete patient dossiers. We also rewrote the corresponding text in the methods section as well.

(2) This sentence is unclear "They were made aware that they could withdraw at any time from the study, without justification as to why they did so.”

We were not certain what was meant here, but we rewrote this sentence and included additional information about the ICF and the IC procedures at the UZ Leuven university hospital.

(3) Typo "PIQ was 93.800, 93.411 and 106.714 for CC, AC and AA genotype, respectively' & 'We report that individuals with the MTHFR1209CC genotype presented the highest FA at the left centrum semiovale' & 'This is in line with previous observations. Winick et al.33 reported ........."

We rewrote these sentences.

Attachment

Submitted filename: Manuscript Rebuttal R3.docx

Decision Letter 2

Roland A Ammann

5 Apr 2021

Methylene tetrahydrofolate reductase A1298C polymorphisms influence the adult sequelae of chemotherapy in childhood-leukemia survivors

PONE-D-19-35942R2

Dear Dr. D'Hooge,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Roland A Ammann, M.D.

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Roland A Ammann

22 Apr 2021

PONE-D-19-35942R2

Methylene tetrahydrofolate reductase A1298C polymorphisms influence the adult sequelae of chemotherapy in childhood-leukemia survivors

Dear Dr. D'Hooge:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Professor Roland A Ammann

Academic Editor

PLOS ONE

Associated Data

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    S1 Data

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    Attachment

    Submitted filename: Rebuttal Letter.docx

    Attachment

    Submitted filename: Manuscript Rebuttal R3.docx

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files.


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