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The germline variants in DNA repair genes in pediatric medulloblastoma: a challenge for current therapeutic strategies

BMC Cancer volume 17, Article number: 239 (2017) Cite this article

Abstract

Background

The defects in DNA repair genes are potentially linked to development and response to therapy in medulloblastoma. Therefore the purpose of this study was to establish the spectrum and frequency of germline variants in selected DNA repair genes and their impact on response to chemotherapy in medulloblastoma patients.

Methods

The following genes were investigated in 102 paediatric patients: MSH2 and RAD50 using targeted gene panel sequencing and NBN variants (p.I171V and p.K219fs*19) by Sanger sequencing. In three patients with presence of rare life-threatening adverse events (AE) and no detected variants in the analyzed genes, whole exome sequencing was performed. Based on combination of molecular and immunohistochemical evaluations tumors were divided into molecular subgroups. Presence of variants was tested for potential association with the occurrence of rare life-threatening AE and other clinical features.

Results

We have identified altogether six new potentially pathogenic variants in MSH2 (p.A733T and p.V606I), RAD50 (p.R1093*), FANCM (p.L694*), ERCC2 (p.R695C) and EXO1 (p.V738L), in addition to two known NBN variants. Five out of twelve patients with defects in either of MSH2, RAD50 and NBN genes suffered from rare life-threatening AE, more frequently than in control group (p = 0.0005). When all detected variants were taken into account, the majority of patients (8 out of 15) suffered from life-threatening toxicity during chemotherapy.

Conclusion

Our results, based on the largest systematic study performed in a clinical setting, provide preliminary evidence for a link between defects in DNA repair genes and treatment related toxicity in children with medulloblastoma. The data suggest that patients with DNA repair gene variants could need special vigilance during and after courses of chemotherapy.

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Background

Brain tumors represent the leading cause of childhood cancer mortality. The most common malignant brain tumor among them is medulloblastoma [1]. Although multimodality treatment regimens have substantially improved survival in this disease, up to 30-40% of patients with medulloblastoma still die of the disease. Detrimental effect of current treatment on long-term survivors is also observed [2]. Our understanding of the molecular background of pediatric brain tumors has expanded significantly over the past few years. The vast amount of genomic and molecular data generated recently has proved that medulloblastoma is not a single entity but is composed of at least four subtypes: Wingless (WNT), Sonic Hedgehog (SHH), Group 3 and Group 4 (non-WNT/SHH types), with distinct genetic and biological profiles as well as different course of disease requiring adequate therapeutic approaches [2–6]. Despite of improved understanding of the molecular basis of medulloblastoma, many cases still lack an obvious genetic driver [4, 7, 8]. The further research focused on additional potential mechanisms responsible for the development of this tumor may lead to identification of new susceptibility factors as well as new markers that predict response to therapeutic agents and provide prognostic information. So far, majority of driver mutations detected in medulloblastoma are of somatic character. Impact of germline genetic variability that may affect clinicopathologic presentation of this tumor have not been in-depth investigated yet [5, 7, 9–12].

In our study we focused on evaluation of germline defects in genes that play a role in DNA repair pathway because of the following reasons. Firstly, DNA-repair deficiency is associated with cancer development and the key role of germline alterations in promoting tumorigenesis is highlighted by several cancer predisposition syndromes e.g. Li-Fraumeni, Fanconi anemia or Turcot syndrome, where occurrence of medulloblastoma has been recorded. Secondly, it is well known that germline defects may modulate the response to treatment since DNA-repair mechanisms make cells prone to the effects of DNA-damaging chemotherapy [13–15]. It is important to notice that majority of evidence about the impact of DNA-repair genes defects on toxicity in medulloblastoma comes from either description of single cases [16, 17] or from mouse models and cell lines experiments [13, 18] but not from systemic clinical based investigation. Therefore, all these data indicate that DNA repair genes are a promising targets possibly linked both to development of tumor and response to therapy in medulloblastoma.

Within essential components of DNA repair signaling cascade the NBN gene particularly draws attention as potentially susceptibility marker for medulloblastoma [19, 20]. Germline defects in medulloblastoma patients were observed also in other genes cooperated with NBN in BRCA1-associated genome surveillance complex (BASC), including MSH6, PMS2 and MLH1 [21–24].

Biallelic defects in NBN gene result in Nijmegen Breakage Syndrome (NBS; OMIM:251,260), while homozygous defects in MSH6, PMS2 or MLH1 genes are molecular cause of Constitutional Mismatch Repair Deficiency Syndrome (CMRDS; OMIM:276,300), hereditary disorder associated with increased risk of cancers including medulloblastoma [25]. Among other genes responsible for CMRDS is also MSH2 (ID:4436, MIM:609,309), one of the key factor of DNA mismatch repair system which recognizes and repairs mispaired or unpaired nucleotides resulted from DNA replication errors [25]. There is an evidence that germline MSH2 defects may predispose to primary early-onset CNS tumors, especially glioblastoma [26]. In addition, De Rosa et al. suggest that in some families with Turcot syndrome the coexistence of colorectal and childhood brain tumors may result from a complete MMR deficiency [27]. However, association between MSH2 defects and medulloblastoma was not evaluated yet.

A very similar phenotype to NBS was seen in patients with Nijmegen Breakage Syndrome-like Disorder (NBSLD – OMIM:613,078) caused by defects in the RAD50 gene (ID:10,111, MIM:604,040). This gene encodes the protein involved in DNA double-strand break repair, cell cycle checkpoint activation, telomere maintenance and meiotic recombination suggesting that molecular variants disrupting its function may lead to genome instability and carcinogenesis [28]. Furthermore, inactivation of proteins like RAD50 required for the homologous recombination machinery leads to defects in the nervous system development indicating that components of this system can play crucial role in development and progression of various neuro-oncological diseases [29]. The frequency of the molecular variants in RAD50 gene was, similarly to MSH2, not determined in medulloblastoma patients up to now.

Therefore the first purpose of this study was to establish the spectrum of germline defects in MSH2 and RAD50 genes, as well as frequency of two known NBN variants in 102 patients with medulloblastoma. In the next step we have evaluated the hypothesis that DNA repair genes may affect a response to therapy in medulloblastoma patients. We have found that alterations in a range of DNA repair genes are associated with occurrence of rare severe adverse effects during chemotherapy in patients.

Methods

Patients and controls

A set of 102 medulloblastoma patients treated between 2004 and 2014 in the Neurosurgery and Oncology Departments of the Children’s Memorial Health Institute (CMHI) in Warsaw, Poland were investigated in this study. Based on a combination of genomic and immunohistochemical (IHC) analyses, patients were divided into molecular subgroups (see methods). Presence of metastases at diagnosis was classified according to Chang et al. [30]. The clinical characteristics of the study cohort is outlined in Table 1.

Table 1 The characteristics of 102 patients with medulloblastoma
Full size table

To estimate the population frequency of detected MSH2 and RAD50 variants (independently of the data deposited in the public databases) the population-specific control group was assembled. DNA samples from 300 healthy donors with negative cancer family history and sex matched to the patients’ groups were collected. To exclude potential bias between adult and childhood population the control group consisted of donors age matched to the study group.

Methods

A total DNA was extracted from peripheral blood and tumors samples by use of the automatic magnetic bead-based (MagnaPure, Roche) and phenol/chloroform methods, respectively [31].

To evaluate the sequence of MSH2 and RAD50 genes in 102 patients with medulloblastoma targeted gene panel sequencing was used. The NBN c.511A>G and c.657_661del5 variant status was determined upon previously described conditions [19]. In three patients with severe adverse events after the chemotherapy but with no variants detected in MSH2, RAD50, and NBN genes whole exome sequencing (WES) was carried out to explore possible defects in other DNA repair genes.

Targeted gene panel sequencing

For generation of the targeted amplicon libraries the Ion AmpliSeq™ Custom 3G-Panelv2 (275 bp; Life Technologies Corporation; Carlsbad, CA, USA) consisting of 82 primer pairs to target all exons of the MSH2 and RAD50 genes (RefSeq:NM_000251.2 and RefSeq: NM_005732.3, respectively) was used. Polymerase chain reaction (PCR) was performed according to the manufacturer’s recommendations with the Ion AmpliSeq™ Library Kit 2.0. Amplicon size distribution and library concentration was determined using Agilent DNA 1000 Kit (Agilent Technologies; Inc., Waldbronn, Germany). The final concentration of the sample pool was measured by Qubit dsDNA BR Assay Kit (Life Technologies Corporation; Carlsbad, CA, USA). Emulsion PCR and sequencing was performed on an Ion PGM Sequencer (Life Technologies Corporation; Carlsbad, CA, USA) using 318 Chips and the Ion PGM 200 Sequencing Kit according to the manufacturer’s instructions. The sequence reads were mapped to the haploid human reference genome (hg19) with Novoalign (Novocraft Technologies). SNVs and short insertions and deletions (indels) were called using GATK version 2.8. [32] Variant annotation was performed with Jannovar [33].

Whole exome sequencing

WES Library preparation was performed using Nextera Rapid Capture Exome kit (Illumina). The samples were run on ¼ of lane each on HiSeq 1500 using 2 × 75 bp paired-end reads. After initial processing by the CASAVA, the generated reads were aligned to the hg19 reference genome with Burrows-Wheeler Alignment Tool and further processed by Genome Analysis Toolkit [32]. Base quality score recalibration, indel realignment, duplicate removal and the SNP/INDEL calling were done as described [34]. The detected variants were annotated using Annovar5 [35].

Selection and validation of candidate variants

A way of prioritizing variants was based on three main filtration steps, as follows:

  1. 1/.

    variants with the global minor allele frequency (MAF) ≥ 0.01 (either in the 1000 Genomes Project, ExAC Databases or in a matched control group) were filtered out;

  2. 2/.

    nonsynonymous SNPs, coding sequence insertion/deletions (indels), and canonical splice-site variants were selected;

  3. 3/.

    all variants occurring within DNA repair genes detected by WES were prioritized;

  4. 4/.

    variants annotated as deleterious by three and more prediction algorithms (PolyPhen-2, SIFT, Mutation Taster and FATHMM), nonsense mutations and deletions that introduce premature stop codons were classified as likely pathogenic and selected into further consideration. Functional consequences of splice variants were predicted by Human Splicing Finder, Splice Site Finder-like and MaxEntScan.

For all selected variants the amino acid position in functional domains and posttranslational modifications were verified using NCBI Protein [36] and Alamut-2.4-6 Software (Interactive Biosoftware; Rouen, France). Their contribution in carcinogenesis was verified in the Catalogue of Somatic Mutations (COSMIC database) [37], Human Gene Mutation Database (HGMD) [38], ClinVar database and Online Mendelian Inheritance in Man (OMIM). Correlation with the clinical features and the course of disease was assessed for each candidate variant.

Variant validation

Next generation sequencing results were validated using Sanger sequencing. Specific primers for PCR reactions are available upon request. PCR products were sequenced in 3130 Genetic Analyzer and evaluated with Sequencing Analysis Software v.5.4 (Applied Biosystems/Life Technologies; Foster City, CA). The frequency of validated variants were evaluated in the matched control group in the same conditions. Additionally, prioritized variants in MSH2 and RAD50 were cross-checked with the parents’ sequence data to identify inherited versus de novo changes. In four out of five carriers of MSH2, RAD50, FANCM or EXO1 gene variants tumour tissues were available and the presence of identified changes (p.V606I, p.R1093*, p.L694* and p.V738L) were verified.

Determination of molecular subgroups in medulloblastoma patients

Tumors included in the study were divided into the following molecular groups:

  1. 1/.

    WNT Group defined by the presence of at least two features as recommended by the International Medulloblastoma Working Group [2]: CTNNB1 pathogenic variant, immunohistochemical positive nuclear reaction against β-catenin (DB #610154, 1:800) and the presence of chromosome 6 monosomy. The screening test for CTNNB1 variant analysis and chromosome 6 monosomy were performed according to methods described previously [39].

  2. 2/.

    SHH Group defined by the presence of immunohistochemical positive reaction with anti-GAB1 (Abcam #ab27439 and/or #59362, 1:100) and anti-YAP1 (Santa Cruz #sc-101,199, 1:50) antibodies [3].

  3. 3/.

    Non-WNT/SHH type (Group 3 or Group 4) included the remaining tumors, tested negative for the above features.

  4. 4/.

    For further discrimination of non-WNT/SHH tumours (in order to identify Group 3 or Group 4) in patients with detected DNA repair genes variants we applied NanoString's nCounter System analysis (NanoString Technologies, Seattle, USA). For identification of clusters a series of 48 medulloblastoma tumours were analized. Overall 30 non-WNT/SHH tumours from this study were evaluated. Total RNA was extracted from frozen or FFPE tumours using RNeasy kits (Qiagen). RNA integrity was assessed using an Agilent 2100 bioanalyzer. For four Groups assignment NanoString CodeSet of 22 genes has been applied as described by Northcott et al. [40] Hybridization to the probes was performed in NanoString Technologies, Seattle, USA. Data were normalized and samples were clustered using nSolver 2.5 software.

Treatment complications assessment

Treatment related complications data were retrospectively re-analyzed and assessed according to The Common Toxicity Criteria (CTC), version 4.0. [41] For comparative analyses only rare life-threatening adverse events of grade 4 (grade 5 was absent in our cohort) have been taken into account since they are the most challenging complications in clinical practice. The significance of assessed adverse events frequency and other clinical features in groups of patients with presence vs. absence of DNA repair genes candidate variants were calculated using the Fisher Exact test.

Results

MSH2 and RAD50 analysis

The analysis of MSH2 and RAD50 coding sequences in 102 medulloblastoma patients revealed 53 germline variants in total. Most of them (48/53; 90.6%) were single nucleotide variants (SNV), while remaining (5/53; 9.4%) were small indels (Additional file 1: Table S1). The number of identified variants ranged from 2 to 16, an average of 7 variants per sample. After the filtration steps (three heterozygous candidate variants including c.1816G>A (p.V606I) and c.2197G>A (p.A733T) in MSH2, as well as c.3277C>T (p.R1093*) in RAD50 were selected. All of them were uncommon (1/102; 0.98% for each variant) in the patients group. None of them was observed in 1000 Genomes Project Database [42] as well as in the matched control group of 300 samples. Allele frequency of p.A733T MSH2 and p.R1093* RAD50 variants in ExAC Database were 0.000005 and 0.000001, respectively. The MSH2 p.V606I variant in ExAC Database was not reported so far (Table 2).

Table 2 Germline candidate variants detected in the current study in DNA repair genes in medulloblastoma patients
Full size table

Due to the lack or low frequency of candidate variants in control groups, the estimation of cancer risk associated with the presence of identified variants was not possible. DNA testing of probands’ parents confirmed parental origin of all selected variants. The presence of identified changes in tumor tissue had been proven for MSH2 p.V606I and RAD50 p.R1093* variants. For MSH2 p.A733T variant this analysis was not possible because of the lack of tumor tissue.

Within the prioritized variants only p.R1093* in RAD50 gene (rs121912628) was reported as pathogenic in ClinVar database (OMIM: 604,040.0001) and in the COSMIC list of variants that have previously been associated with cancer predisposition (COSM1060699) [37].

NBN c.511A>G and c.657_661del5 variants analysis

In 102 patients with medulloblastoma six carriers of NBN germline likely pathogenic variants (c.511A>G or c.657_661del5) were identified. Additional four NBN carriers reported in our previous study [19] were included in the analysis to increase a number of patients for assessment of clinical relevance of detected NBN variants.

Whole exome sequencing analysis

In three patients with severe treatment complications but no presence of MSH2, RAD50 and NBN candidate variants the exome sequence was analyzed. In all cases rare candidate variants in genes essential for DNA repair pathway were detected, including p.L694* in FANCM (ID 57697, MIM:609,644), p.R695C in ERCC2 (ID 2068, MIM:126,340) and p.V738L in EXO1 (ID 9156, MIM:606,063). None of identified variants was reported in 1000 Genomes Database and in matched control group. Two variants p.R695C in ERCC2 and p.V738L in EXO1 were found in ExAC Database with frequency 0.000000012 and 0.00000086, respectively. All detected variant were present in heterozygous state (Table 2).

Characteristics of patients and tumors with molecular variants in DNA repair genes

Distribution of clinical and biological features in patients with molecular variants in essential for DNA repair pathway genes is presented in Table 3.

Table 3 The molecular and clinical characteristics of the carriers of DNA repair genes alterations
Full size table

There were no differences between groups of patients with presence vs. absence of either of candidate variants in MSH2, RAD50 and NBN genes in terms of age (<3 years of age vs. ≥ 3 years, not significant, n.s), gender (n.s), LCA pathology (n.s) and presence of metastases (M2 M3 vs. M0 M1, n.s). Tumours belonged to WNT Group (one tumour), Group 3 (one tumour) and Group 4 (8 tumours). Three tumours were not analyzed by NanoString method due to the lack of RNA but they belonged to non-WNT/SHH type (Group 3 or 4). In the remaining three cases molecular type was not determined due to the lack of tumor material. It has been noticed that none of the patients with SHH tumors had MSH2, RAD50 or NBN variants (9 patients analyzed) but these data did not reach statistical significance when compared to other groups (n.s).

Four out of 12 patients with MSH2, RAD50 and NBN molecular variants did not complete treatment protocol because of reduction of the dose of drugs or delays above 100 days due to presence of various degrees of adverse events. These included 4 out of 6 patients who died, therefore we refrained from examination of survival rates. Among them one NBN c.657_661del5 carrier died due to secondary leukemia 48 months after diagnosis.

To assess the potential impact of molecular defects on the course of treatment we recorded that three out of 9 patients with presence of NBN variants and available clinical data, suffered from rare grade 4 adverse events during chemotherapy after the first course of treatment. These included central nervous system toxicity, pneumonia and colitis with gastrointestinal bleeding. For comparison, among 89 patients without molecular variants in none of NBN, MSH2 and RAD50 genes only three patients suffered from similar complications (enterocolitis grade 4, gastrointestinal bleeding grade 4 and central nervous system toxicity grade 4) despite an application of the same PPNG protocol (Additional file 2: Figure S1 A and B) and the difference was significant (p = 0.01). Moreover, two out of three patients with identified variants in MSH2 or RAD50 also displayed similar grade 4 complications, namely central nervous system toxicity and pneumonia. Therefore, 5 out of 12 patients with defects in either of MSH2, RAD50 and NBN genes suffered from rare grade 4 adverse events during chemotherapy and these combined results were even more significant when compared to the control group (p = 0.0005) than for NBN gene alone. Among patients with detected defects in MSH2, RAD50 and NBN genes High Risk arm of the PPNG protocol (HR, Additional file 3: Table S2, Additional file 2: Figure S1 A and B) which included Cisplatin and Ifosfamide was not applied more frequently than in the series of patients from control group without detected defects in those genes (p = 0.13). When patients were subdivided according to treatment arm, the results pointing toward more frequent toxicity in patients with identified variants were also statistically significant (p = 0.01 for HR arm only, and p = 0.01 for protocol for children <3 years old only).

Because the above results indicate association between defects in analyzed DNA repair genes and presence of adverse effects during therapy we performed WES analyses in three patients who suffered from rare grade 4 adverse events but had no abnormalities in MSH2, RAD50 and NBN genes. In all three patients candidate variants were detected in FANCM, ERCC2 and EXO1 genes which are presented in Tables 2 and 3. In summary, taking into account the WES results, among patients with detected variants in DNA repair genes majority of them (8 out of 15; 53%) suffered from rare life-threatening grade 4 toxicity during the course of treatment.

Discussion

Assuming that the fundamental feature of cancer is genomic instability, functional defects of proteins which are responsible for maintenance of genome integrity by correcting DNA replication errors, should be carcinogenic. It is therefore not surprising that a number of cancer susceptibility genes encode key factors of DNA repair pathways. Recent comprehensive analysis of germline mutations in pediatric cancers pointed to DNA repair genes as the most commonly mutated genes, including TP53 and BRCA2 [43]. It is also increasingly clear that defects in DNA repair genes may determine patient’s response to radio and chemotherapy [13, 16, 17]. In view of that we evaluated the potential association between DNA repair defects and treatment related toxicity as well as their potential role as a susceptibility factor for medulloblastoma.

The sequence analysis of two well-known repair genes MSH2 and RAD50 conducted in large cohort of 102 medulloblastoma patients revealed three new germline variants MSH2 p.V606I and p.A733T as well as RAD50 p.R1093*. Both the localization and the character of detected variants allow for prediction of their probably pathogenic impact on the encoded proteins what was supported by the results of the in silico analysis (Table 2). The p.V606I and p.A733T substitutions are localized in the crucial DNA mismatch repair protein V (MutSV - aa 619-854, pF00488) in highly (p.V606I- phyloP:4.40) and moderate (p.A733T-phyloP:2.55) conserved amino acid region. MutSV domain contains the dimerization interface and nucleotide-binding site with C-terminal helix-U-turn-helix motif that is critical for MutS function [44]. The RAD50 p.R1093* variant resulting in premature stop codon has severe consequences on the protein translation and predicts suppression of its protein. All identified variants were uncommon in our patients (1/102; 0.98%). This is consistent with the published data indicating that molecular variants in MSH2 and RAD50 in CNS tumors occurred very rarely (5/1637 – 0.31% and 4/1743 – 0.23%, respectively [37]. In support of that, in published recently study of germline mutations in pediatric cancers, including medulloblastoma, MSH2 and RAD50 variants were not reported [43]. Due to the lack or low frequency of candidate variants in control groups the estimation of cancer risk associated with their presence was not possible (Table 2). However, deleterious character of detected germline variants, the role of the encoded proteins in DNA repair system and their annotation with genetic syndromes, including NBSLD and CMRDS associated with medulloblastoma, make them the potential susceptibility variants for this kind of tumor. The RAD50 p.R1093* variant was reported as one of two known molecular defects (HGMD CMO92910) responsible for NBSLD. In medulloblastoma patients pathogenic variants in MLH1, MSH6 and PMS2 genes were detected previously [21–24, 43]. Alterations in these genes together with MSH2 defects lead to CMRDS. Both MSH2 and RAD50 encode the crucial components of the DNA repair system. MSH2 belongs to mismatch repair genes (MMR) while RAD50 together with MRE11 and NBN constitute the MRN complex responsible for connecting DNA damage detection to DNA repair and cell cycle checkpoint function [44, 45]. Biallelic deficiency in MMR genes had been referred as a molecular cause of increased predisposition to gastrointestinal and hematological malignances, as well as early-onset CNS tumors (especially glioblastoma; GBM) [22, 26]. Additionally, the germline heterozygous variants in MMR gene were reported in patients with Turcot syndrome associated with medulloblastoma incidence. The molecular variants affecting genes of the MRN complex might also play a role in pediatric tumor development. The evidence that NBN heterozygous variants predispose to childhood acute lymphoblastic leukemia and medulloblastoma was already published [19, 46–48]. All these facts reinforce potential role of DNA repair genes, including MSH2 and RAD50 in susceptibility to medulloblastoma but detailed mechanistic studies are required to confirm this preliminary hypothesis.

Notwithstanding the role of DNA repair genes in pathogenesis of medulloblastoma, it is profoundly important from the clinical perspective that the presence of molecular defects in these genes may have an impact on the course of treatment.

The MRN complex genes, including MRE11, NBN and RAD50 are required for double-stand DNA break (DBS) repair via one of the DNA repair system, homologous recombination (HR). Defects in HR system lead to hypersensitivity to agents that produce DSB and topoisomerase inhibitors eg. etoposide [14, 15, 49]. MMR genes remove mispaired nucleotides by the cooperation in mismatch repair system whose defects are associated with hypersensitivity to DNA crosslinks and platinum-based chemotherapeutic agents (eg. mitomycin C and carboplatin) [14, 15, 49].

Medulloblastoma treatment protocol (Additional file 2: Figure S1 A and B) includes the drugs mentioned above, specifically platinum-based chemotherapeutic agents (carboplatin, cisplatin), topoisomerase inhibitor etoposide and, in addition, mitotic inhibitor vincristine. Therefore it is very likely that our patients with molecular variants in DNA repair genes may be more prone to complications in recovering from chemotherapy induced DNA damage. They include the patients with variants detected by WES analysis in ERCC2, FANCM or EXO1 genes, an essential components of DNA repair systems [14]. All three identified variants (p.R695C, p.L694* and p.V738L, respectively) were localized in highly conserved nucleotide position (phyloP: 0.89-0.99) in crucial for the encoded protein domains (Table 2) and the character of detected variants (nonsense and splice site) strengthens their pathogenic role. Previous functional studies had also linked these variants to increased sensitivity to therapeutic agents. Defects of ERCC2 protein were reported as a cause of faults in the nucleotide excision repair mechanism (NER) which is responsible for removal of variety of helix-distorting DNA lesions, as well as a hypersensitivity to platinum derivatives. The FANCM gene is one of the elements of the Fanconi Anemia (FANC) pathway responsible for DNA crosslinks repair, possibly through coordination of three main DNA repair systems: nonhomologus endjoing (NHEJ), homologus recombination (HR) and translesion DNA synthesis (TLS). Loss of function of this system results in sensitivity to DNA crosslinking agents and platinum derivatives [14, 15, 49]. Finally, EXO1 gene encode a nuclease which cooperates with MRN complex in DSB repair via HR pathway as well as interacts with MMR genes in repair of DNA mismatches [50, 51].

Although we acknowledge that functional studies are necessary to explore the mechanism through which DNA repair gene defects influence the treatment related toxicity we have already found significant association between defects in NBN, MSH2, RAD50, FANCM, ERCC2 and EXO1 genes and clinical data. Indeed, more than half of patients with variants in DNA repair genes suffered from rare adverse grade 4 events after administration of chemotherapy (Table 3). We acknowledge that validation cohorts would be necessary for confirmation of our results. Unfortunately, recently published NSG ‘discovery sets’ of medulloblastoma ranged only from 39 to 92 samples and molecular defect in MSH2, RAD50 and NBN gene were not identified [7, 9–12, 43]. Also, an information related to the therapy and accompanied side effects was not provided in these studies. However in two pediatric medulloblastoma patients with mutations in DNA repair genes (PALB2 and BRCA2) chemotherapy inducted grade 4 side effects were reported [16, 17]. In addition, effect of other drugs being introduced to medulloblastoma treatment protocols e.g. temozolomide (TZM) may be dependent on the status of mismatch repair genes. In melanoma one variant g.73170T>C in MSH2 gene (rs2303428) was associated with response and side effects and could be used as a molecular marker for TMZ treatment response [52].

On the other hand it is difficult to compare toxic effects caused by cancer treatment in adult patients harboring defects in DNA repair genes with toxicity observed in still developing and vulnerable tissues in children. Different spectrum of tumors in children and therefore different treatment protocols, including very high doses of drugs, may influence dissimilar reaction in the latter population.

Conclusions

Our study was conducted in a single institution on the largest series of uniformly treated patients which provided primary data indicating possible link between defects in DNA repair genes and treatment related toxicity in children. Given the complexity of the data in relation to the rarity of medulloblastoma, our results needs to be confirmed in independent cohorts. If proven, the special vigilance during and after treatment of patients with pathogenic variants in DNA repair genes should be required. Also additional screening for the presence of molecular variants in patients with manifestation of severe adverse events is necessary to acquire more information about their impact on the course of treatment. Finally, the potential revision of the mode of treatment should be considered for patients with germline defects in DNA repair genes in the future.

Abbreviations

<3 yrs.:

Polish Pediatric Neurooncology Group protocol for children younger than 3 years old

ADF:

Alive disease free

AE:

Rare life-threatening adverse events

BASC:

BRCA1-associated genome surveillance complex

CMHI:

Children’s Memorial Health Institute in Warsaw, Poland

CMRDS:

Constitutional Mismatch Repair Deficiency Syndrome

COSMIC database:

Catalogue of Somatic Mutations

CTC:

The Common Toxicity Criteria

D/N:

Desmoplastic/nodular type of medulloblastoma

DBS:

Double-stand DNA break repair

DoD:

Died of disease

FANC:

Fanconi Anemia

HGMD:

Human Gene Mutation Database

HR:

Homologous recombination

HR:

Polish Pediatric Neurooncology Group High Risk protocol

IHC:

Immunohistochemical analyses

Indels:

Coding sequence insertion/deletions

LCA:

Large cell/anaplastic type of medulloblastoma

MAF:

Minor allele frequency

MBEN:

Medulloblastoma with extensive nodularity

MBL:

Medulloblastoma, subtype not known

MMR:

Mismatch repair genes

NBSLD:

Nijmegen Breakage Syndrome-like Disorder

NER:

Nucleotide excision repair mechanism

NHEJ:

Nonhomologus endjoing

OMIM:

Online Mendelian Inheritance in Man

PCR:

Polymerase Chain Reaction

PPNG:

Polish Pediatric Neurooncology Group

SHH:

Sonic Hedgehog type of medulloblastoma

SR:

Polish Pediatric Neurooncology Group Standard Risk protocol

TLS:

Translesion DNA synthesis

WES:

Whole Exome Sequencing

WNT:

Wingless type of medulloblastoma

References

  1. Northcott PA, Rutka JT, Taylor MD. Genomics of medulloblastoma: from Giemsa-banding to next-generation sequencing in 20 years. Neurosurg Focus. 2010;28(1):E6.

    Article  PubMed  Google Scholar 

  2. Gottardo NG, Hansford JR, McGlade JP, Alvaro F, Ashley DM, Bailey S, Baker DL, Bourdeaut F, Cho YJ, Clay M, et al. Medulloblastoma down under 2013: a report from the third annual meeting of the international Medulloblastoma working group. Acta Neuropathol. 2014;127(2):189–201.

    Article  PubMed  Google Scholar 

  3. Ellison DW, Dalton J, Kocak M, Nicholson SL, Fraga C, Neale G, Kenney AM, Brat DJ, Perry A, Yong WH, et al. Medulloblastoma: clinicopathological correlates of SHH, WNT, and non-SHH/WNT molecular subgroups. Acta Neuropathol. 2011;121(3):381–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Kool M, Korshunov A, Remke M, Jones DT, Schlanstein M, Northcott PA, Cho YJ, Koster J, Schouten-van Meeteren A, van Vuurden D, et al. Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, group 3, and group 4 medulloblastomas. Acta Neuropathol. 2012;123(4):473–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Northcott PA, Shih DJ, Peacock J, Garzia L, Morrissy AS, Zichner T, Stutz AM, Korshunov A, Reimand J, Schumacher SE, et al. Subgroup-specific structural variation across 1,000 medulloblastoma genomes. Nature. 2012;488(7409):49–56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Taylor MD, Northcott PA, Korshunov A, Remke M, Cho YJ, Clifford SC, Eberhart CG, Parsons DW, Rutkowski S, Gajjar A, et al. Molecular subgroups of medulloblastoma: the current consensus. Acta Neuropathol. 2012;123(4):465–72.

    Article  CAS  PubMed  Google Scholar 

  7. Jones DT, Jager N, Kool M, Zichner T, Hutter B, Sultan M, Cho YJ, Pugh TJ, Hovestadt V, Stutz AM, et al. Dissecting the genomic complexity underlying medulloblastoma. Nature. 2012;488(7409):100–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Northcott PA, Jones DT, Kool M, Robinson GW, Gilbertson RJ, Cho YJ, Pomeroy SL, Korshunov A, Lichter P, Taylor MD, et al. Medulloblastomics: the end of the beginning. Nat Rev Cancer. 2012;12(12):818–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Parsons DW, Li M, Zhang X, Jones S, Leary RJ, Lin JC, Boca SM, Carter H, Samayoa J, Bettegowda C, et al. The genetic landscape of the childhood cancer medulloblastoma. Science. 2011;331(6016):435–9.

    Article  CAS  PubMed  Google Scholar 

  10. Pugh TJ, Weeraratne SD, Archer TC, Pomeranz Krummel DA, Auclair D, Bochicchio J, Carneiro MO, Carter SL, Cibulskis K, Erlich RL, et al. Medulloblastoma exome sequencing uncovers subtype-specific somatic mutations. Nature. 2012;488(7409):106–10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Rausch T, Jones DT, Zapatka M, Stutz AM, Zichner T, Weischenfeldt J, Jager N, Remke M, Shih D, Northcott PA, et al. Genome sequencing of pediatric medulloblastoma links catastrophic DNA rearrangements with TP53 mutations. Cell. 2012;148(1-2):59–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Robinson G, Parker M, Kranenburg TA, Lu C, Chen X, Ding L, Phoenix TN, Hedlund E, Wei L, Zhu X, et al. Novel mutations target distinct subgroups of medulloblastoma. Nature. 2012;488(7409):43–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Daniel RA, Rozanska AL, Mulligan EA, Drew Y, Thomas HD, Castelbuono DJ, Hostomsky Z, Plummer ER, Tweddle DA, Boddy AV, et al. Central nervous system penetration and enhancement of temozolomide activity in childhood medulloblastoma models by poly (ADP-ribose) polymerase inhibitor AG-014699. Br J Cancer. 2010;103(10):1588–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Kennedy RD, D'Andrea AD. DNA repair pathways in clinical practice: lessons from pediatric cancer susceptibility syndromes. J Clin Oncol. 2006;24(23):3799–808.

    Article  CAS  PubMed  Google Scholar 

  15. Lambrechts S, Lambrechts D, Despierre E, Van Nieuwenhuysen E, Smeets D, Debruyne PR, Renard V, Vroman P, Luyten D, Neven P, et al. Genetic variability in drug transport, metabolism or DNA repair affecting toxicity of chemotherapy in ovarian cancer. BMC Pharmacol Toxicol. 2015;16:2.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Rube CE, Fricke A, Schneider R, Simon K, Kuhne M, Fleckenstein J, Graber S, Graf N, Rube C. DNA repair alterations in children with pediatric malignancies: novel opportunities to identify patients at risk for high-grade toxicities. Int J Radiat Oncol Biol Phys. 2010;78(2):359–69.

    Article  PubMed  Google Scholar 

  17. Miele E, Mastronuzzi A, Po A, Carai A, Alfano V, Serra A, Colafati GS, Strocchio L, Antonelli M, Buttarelli FR, et al. Characterization of medulloblastoma in Fanconi anemia: a novel mutation in the BRCA2 gene and SHH molecular subgroup. Biomark Res. 2015;3:13.

    Article  PubMed  PubMed Central  Google Scholar 

  18. von Bueren AO, Bacolod MD, Hagel C, Heinimann K, Fedier A, Kordes U, Pietsch T, Koster J, Grotzer MA, Friedman HS, et al. Mismatch repair deficiency: a temozolomide resistance factor in medulloblastoma cell lines that is uncommon in primary medulloblastoma tumours. Br J Cancer. 2012;107(8):1399–408.

    Article  Google Scholar 

  19. Ciara E, Piekutowska-Abramczuk D, Popowska E, Grajkowska W, Barszcz S, Perek D, Dembowska-Baginska B, Perek-Polnik M, Kowalewska E, Czajnska A, et al. Heterozygous germ-line mutations in the NBN gene predispose to medulloblastoma in pediatric patients. Acta Neuropathol. 2010;119(3):325–34.

    Article  CAS  PubMed  Google Scholar 

  20. Huang J, Grotzer MA, Watanabe T, Hewer E, Pietsch T, Rutkowski S, Ohgaki H. Mutations in the Nijmegen breakage syndrome gene in medulloblastomas. Clin Cancer Res. 2008;14(13):4053–8.

    Article  CAS  PubMed  Google Scholar 

  21. Scott RH, Mansour S, Pritchard-Jones K, Kumar D, MacSweeney F, Rahman N. Medulloblastoma, acute myelocytic leukemia and colonic carcinomas in a child with biallelic MSH6 mutations. Nat Clin Pract Oncol. 2007;4(2):130–4.

    Article  CAS  PubMed  Google Scholar 

  22. Roy S, Raskin L, Raymond VM, Thibodeau SN, Mody RJ, Gruber SB. Pediatric duodenal cancer and biallelic mismatch repair gene mutations. Pediatr Blood Cancer. 2009;53(1):116–20.

    Article  PubMed  Google Scholar 

  23. Lindsay H, Jubran RF, Wang L, Kipp BR, May WA. Simultaneous colonic adenocarcinoma and medulloblastoma in a 12-year-old with biallelic deletions in PMS2. J Pediatr. 2013;163(2):601–3.

    Article  PubMed  Google Scholar 

  24. Wang Q, Lasset C, Desseigne F, Frappaz D, Bergeron C, Navarro C, Ruano E, Puisieux A. Neurofibromatosis and early onset of cancers in hMLH1-deficient children. Cancer Res. 1999;59(2):294–7.

    CAS  PubMed  Google Scholar 

  25. Familial Cancer Database. Available at www.familialcancerdatabase.nl/. Accessed 20 Dec 2014.

  26. Bougeard G, Charbonnier F, Moerman A, Martin C, Ruchoux MM, Drouot N, Frebourg T. Early onset brain tumor and lymphoma in MSH2-deficient children. Am J Hum Genet. 2003;72(1):213–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. De Rosa M, Fasano C, Panariello L, Scarano MI, Belli G, Iannelli A, Ciciliano F, Izzo P. Evidence for a recessive inheritance of Turcot's syndrome caused by compound heterozygous mutations within the PMS2 gene. Oncogene. 2000;19(13):1719–23.

    Article  CAS  PubMed  Google Scholar 

  28. Berardinelli F, di Masi A, Antoccia A. NBN Gene polymorphisms and cancer susceptibility: a systemic review. Current genomics. 2013;14(7):425–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Chrzanowska K, Trubicka J, Ciara E. Pediatric Medulloblastoma: the role of heterozygous germ-line mutations in the NBN Gene. In: Hayat MA, editor. Pediatric Cancer, Volume 3, vol. Volume 3. Netherlands: Springer; 2012. p. 117–27.

    Chapter  Google Scholar 

  30. Chang CH, Housepian EM, Herbert Jr C. An operative staging system and a megavoltage radiotherapeutic technic for cerebellar medulloblastomas. Radiology. 1969;93(6):1351–9.

    Article  CAS  PubMed  Google Scholar 

  31. Sambrook J, Maniatis T, Fritsch EF. Cold Spring Harbor laboratory.: molecular cloning : a laboratory manual, 2nd edn. Cold Spring Harbor, N.Y: Cold Spring Harbor Laboratory Press; 1989.

    Google Scholar 

  32. McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly M, et al. The genome analysis toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20(9):1297–303.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Jäger M, Wang K, Bauer S, Smedley D, Krawitz P, Robinson PN. Jannovar: a java library for Exome annotation. Hum Mutat. 2014;35(5):548–55.

    Article  PubMed  Google Scholar 

  34. DePristo MA, Banks E, Poplin R, Garimella KV, Maguire JR, Hartl C, Philippakis AA, del Angel G, Rivas MA, Hanna M, et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet. 2011;43(5):491–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Wang K, Li M, Hakonarson H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010;38(16):e164.

    Article  PubMed  PubMed Central  Google Scholar 

  36. NCBI Protein. Available at http://www.ncbi.nlm.nih.gov/protein. Accessed 20 Dec 2014.

  37. COSMIC database. Available at http://cancer.sanger.ac.uk/cancergenome/projects/cosmic/. Accessed 1 Dec 2014.

  38. Human Gene Mutation Database. Available at http://www.hgmd.cf.ac.uk/ac/index.php. Accessed 24 Nov 2014.

  39. Łastowska M, Jurkiewicz E, Trubicka J, Daszkiewicz P, Drogosiewicz M, Malczyk K, Grajkowska W, Matyja E, Cukrowska B, Pronicki M, et al. Contrast enhancement pattern predicts poor survival for patients with non-WNT/SHH medulloblastoma tumours. J Neuro-Oncol. 2015;123(1):65–73.

    Article  Google Scholar 

  40. Northcott PA, Shih DJ, Remke M, Cho YJ, Kool M, Hawkins C, Eberhart CG, Dubuc A, Guettouche T, Cardentey Y, et al. Rapid, reliable, and reproducible molecular sub-grouping of clinical medulloblastoma samples. Acta Neuropathol. 2012;123(4):615–26.

    Article  CAS  PubMed  Google Scholar 

  41. The Common Toxicity Criteria. Available at https://www.eortc.be/services/doc/ctc/. In; Accessed 13 Nov 2015.

  42. Genomes. A Deep Catalog of Human Genetic Variations. Available at http://www.1000genomes.org. Accessed 15 Sept 2014.

  43. Zhang J, Walsh MF, Wu G, Edmonson MN, Gruber TA, Easton J, Hedges D, Ma X, Zhou X, Yergeau DA, et al. Germline mutations in predisposition genes in pediatric cancer. N Engl J Med. 2015;373(24):2336–46.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Kunkel TA, Erie DA. DNA MISMATCH REPAIR*. Annu Rev Biochem. 2005;74(1):681–710.

    Article  CAS  PubMed  Google Scholar 

  45. Wang Y, Cortez D, Yazdi P, Neff N, Elledge SJ, Qin J. BASC, a super complex of BRCA1-associated proteins involved in the recognition and repair of aberrant DNA structures. Genes Dev. 2000;14(8):927–39.

    CAS  PubMed  PubMed Central  Google Scholar 

  46. Mosor M, Ziolkowska I, Pernak-Schwarz M, Januszkiewicz-Lewandowska D, Nowak J. Association of the heterozygous germline I171V mutation of the NBS1 gene with childhood acute lymphoblastic leukemia. Leukemia. 2006;20(8):1454–6.

    Article  CAS  PubMed  Google Scholar 

  47. Piekutowska-Abramczuk D, Ciara E, Popowska E, Grajkowska W, Dembowska-Baginska B, Kowalewska E, Czajnska A, Perek-Polnik M, Roszkowski M, Syczewska M, et al. The frequency of NBN molecular variants in pediatric astrocytic tumors. J Neuro-Oncol. 2010;96(2):161–8.

    Article  CAS  Google Scholar 

  48. Chrzanowska KH, Piekutowska-Abramczuk D, Popowska E, Gladkowska-Dura M, Maldyk J, Syczewska M, Krajewska-Walasek M, Goryluk-Kozakiewicz B, Bubala H, Gadomski A, et al. Carrier frequency of mutation 657del5 in the NBS1 gene in a population of polish pediatric patients with sporadic lymphoid malignancies. Int J Cancer. 2006;118(5):1269–74.

    Article  CAS  PubMed  Google Scholar 

  49. Jackson SP, Bartek J. The DNA-damage response in human biology and disease. Nature. 2009;461(7267):1071–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Bolderson E, Tomimatsu N, Richard DJ, Boucher D, Kumar R, Pandita TK, Burma S, Khanna KK. Phosphorylation of Exo1 modulates homologous recombination repair of DNA double-strand breaks. Nucleic Acids Res. 2010;38(6):1821–31.

    Article  CAS  PubMed  Google Scholar 

  51. Rein K, Yanez DA, Terre B, Palenzuela L, Aivio S, Wei K, Edelmann W, Stark JM, Stracker TH. EXO1 is critical for embryogenesis and the DNA damage response in mice with a hypomorphic Nbs1 allele. Nucleic Acids Res. 2015;43(15):7371–87.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Boeckmann L, Schirmer M, Rosenberger A, Struever D, Thoms KM, Gutzmer R, Has C, Kunz M, Kuschal C, Laspe P, Schoen MP, Brockmoeller J, Emmert S. Effect of DNA repair host factors on temozolomide or dacarbazine melanoma treatment in Caucasians. Pharmacogenet Genomics. 2009 Oct;19(10):760–9.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

We thank the patients and their parents for the participation in this study. We would like to sincerely thank other colleagues from the Department of Oncology in the Children’s Memorial Health Institute, especially: Iwona Filipek, Ewa Święszkowska, Maciej Balas, Magdalena Tarasińska, and Piotr Stawiński from Medical University of Warsaw for bioinformatics support. We are also grateful to Mrs. Ulrike Krüger from Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin as well as Mrs. Dorota Siestrzykowska and Mrs. Teresa Wojtasiak from the Department of Medical Genetics, CMHI for excellent technical assistance.

Funding

This work was supported by National Science Centre (6917/B/P01/2011/40; N N407 691,740 to JT, 2011/01/B/NZ4/01066: to MŁ), EU Structural Funds (Project POIG.02.01.00-14-059/09 to JT) and by Internal Funding from the Children’s Memorial Health Institute, Warsaw, Poland (Grant no S124/2012 to MŁ and 233/15 to JT). None of these fundings participated in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Availability of data and materials

Complete results of WES including FASTQ files are be available in Sequence Read Archive (SRA) repository, (http://www.ncbi.nlm.nih.gov/bioproject/374506), BioProject ID:PRJNA374506, SubmissionID:SUB2397997. The full list of MSH2 and RAD50 gene germline variants detected in cohort of 102 MB patients is presented in Additional file 1: Table S1.

Authors’ contributions

JT and MŁ conceived and designed experiments. JT, KF, DPA, EC, TŻ, JH, RP performed experiments. TŻ, JH, JT, MŁ analyzed the data. MPP, MD, DP, BDB, recruited patients and provided clinical information. MKW, KCH provided clinical genetics evaluation of the patients. EM recruited persons to the control group. WG provided histopathological evaluation. JT, MŁ, DPA wrote the paper. KF, EM, MPP, MD, been involved in drafting the manuscript. BDB, MKW, KCH, RP, WG, EC critically reviewed the paper. All authors have read and approved the final version of the manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The study protocol was approved by the CMHI Bioethics Committee and written informed consent was obtained from the parents of the participants.

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Authors and Affiliations

  1. Department of Medical Genetics, The Children’s Memorial Health Institute, Al. Dzieci Polskich 20, 04-730, Warsaw, Poland

    Joanna Trubicka, Katarzyna Falana, Dorota Piekutowska- Abramczuk, Elżbieta Ciara, Krystyna H. Chrzanowska & Małgorzata Krajewska-Walasek

  2. Department of Pathology, The Children’s Memorial Health Institute, Al. Dzieci Polskich 20, 04-730, Warsaw, Poland

    Joanna Trubicka, Wiesława Grajkowska & Maria Łastowska

  3. Institute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany

    Tomasz Żemojtel

  4. Institute of Bioorganic Chemistry, Polish Academy of Sciences, 60-569, Poznan, Poland

    Tomasz Żemojtel

  5. Max Planck Institute for Molecular Genetics, Ihnestr. 63-73, 14195, Berlin, Germany

    Jochen Hecht

  6. Berlin-Brandenburg Center for Regenerative Therapies, Charité Universitätsmedizin Berlin, 13353, Berlin, Germany

    Jochen Hecht

  7. Department of Medical Genetics, Warsaw Medical University, Warsaw, Poland

    Rafał Płoski

  8. Department of Oncology, The Children’s Memorial Health Institute, Al. Dzieci Polskich 20, 04-730, Warsaw, Poland

    Marta Perek-Polnik, Monika Drogosiewicz, Bożenna Dembowska-Bagińska & Danuta Perek

  9. Department of Experimental and Clinical Pathology, Mossakowski Medical Research Centre Polish Academy of Sciences, A. Pawińskiego 5, 02-106, Warsaw, Poland

    Wiesława Grajkowska & Maria Łastowska

  10. Department of Endocrinology and Diabetology, The Children’s Memorial Health Institute, Al. Dzieci Polskich 20, 04-730, Warsaw, Poland

    Elżbieta Moszczyńska

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  1. Joanna Trubicka
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Corresponding author

Correspondence to Joanna Trubicka.

Additional files

Additional file 1: Table S1.

The list of MSH2 and RAD50 gene germline variants detected in cohort of 102 MB patients. (DOC 92 kb)

Additional file 2: Figure S1A.

Polish Pediatric Neurooncology Group (PPNG) treatment protocol for medulloblastoma patients (in children older than 3 years). Figure S1B. Polish Pediatric Neurooncology Group (PPNG) treatment protocol for medulloblastoma patients (in children younger than 3 years). (ZIP 575 kb)

Additional file 3: Table S2.

The molecular and clinical characteristics of 102 patients with medulloblastoma. (XLSX 14 kb)

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Trubicka, J., Żemojtel, T., Hecht, J. et al. The germline variants in DNA repair genes in pediatric medulloblastoma: a challenge for current therapeutic strategies. BMC Cancer 17, 239 (2017). https://doi.org/10.1186/s12885-017-3211-y

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BMC Cancer

ISSN: 1471-2407

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