Abstract
Background: The underlying cause of central nervous system (CNS) tumors in children is largely unknown.
In this nationwide, prospective population-based study we investigate rare germline variants across known
and putative CPS genes and genes exhibiting evolutionary intolerance of inactivating alterations in children
with CNS tumors.
Methods
One hundred and twenty-eight children with CNS tumors underwent whole-genome sequencing of
germline DNA. Single nucleotide and structural variants in 315 cancer related genes and 2,986 highly
evolutionarily constrained genes were assessed. A systematic pedigree analysis covering 3,543 close
relatives was performed.
Results
Thirteen patients harbored rare pathogenic variants in nine known CPS genes. The likelihood of
carrying pathogenic variants in CPS genes was higher for patients with medulloblastoma than children with
other tumors (OR 5.9, CI 1.6-21.2). Metasynchronous CNS tumors were observed exclusively in children
harboring pathogenic CPS gene variants (n=2, p=0.01).
In general, known pCPS genes were shown to be significantly more constrained than both genes associated
with risk of adult-onset malignancies (p=5e
-4) and all other genes (p=5e-17). Forty-seven patients carried 66
loss-of-functions variants in 60 constrained genes, including eight variants in six known pCPS genes. A
deletion in the extremely constrained EHMT1 gene, formerly somatically linked with sonic hedgehog
medulloblastoma, was found in a patient with this tumor.
Conclusions
∽ 10% of pediatric CNS tumors can be attributed to rare variants in known CPS genes.
Analysis of evolutionarily constrained genes may increase our understanding of pediatric cancer
susceptibility.
Keywords
CNS tumors, childhood cancer, genomics, evolutionary constraint; predisposition
3 key points:
● ∽ 10% of children with CNS tumors carry a pathogenic variant in a known cancer predisposition
gene
● Known pediatric-onset cancer predisposition genes show high evolutionary constraint
● Loss-of-function variants in evolutionarily constrained genes may explain additional risk
Importance of this study:
Although CNS tumors constitute the most common form of solid neoplasms in childhood, our understanding
of their underlying causes remains sparse. Predisposition studies often suffer from selection bias, lack of
family and clinical data or from being limited to SNVs in established cancer predisposition genes. We report
the findings of a prospective, population-based investigation of genetic predisposition to pediatric CNS
tumors. Our findings illustrate that 10% of children with CNS tumors harbor a damaging alteration in a
known cancer gene, of which the majority (9/13) are loss-of-function alterations. Moreover, we illustrate
how recently developed knowledge on evolutionarily loss-of-function intolerant genes may be used to
investigate additional pediatric cancer risk and present EHMT1 as a putative novel predisposition gene for
SHH medulloblastoma. Previously undescribed links between variants in known cancer predisposition genes
and specific brain tumors are presented and the importance of assessing both SV and SNV is illustrated.
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Introduction
Central nervous system (CNS) tumors are the most common form of solid neoplasms during childhood and
the leading cause of cancer-related death among children1. While considerable progress has been made in
understanding the molecular biology of pediatric brain tumors, their underlying causes are largely unknown.
Large-scale pan childhood cancer studies have identified 7-9% of patients as carrying pathogenic variants in
a cancer predisposition syndrome (CPS) gene2,3. These studies, however, include partly overlapping cohorts
with overrepresentation of cancers with poor clinical outcome potentially resulting in misleading variant
estimates compared to population-based approaches. Similar studies on pediatric CNS tumors have found
pathogenic germline alterations in up to 35%, with estimates varying greatly depending on tumor type focus,
sample selection and study methodology
4–7. Although some have employed population-based approaches,
most studies suffer from either small sample sizes, selection bias towards recurrent/high-grade tumors,
restricted tumor type focus or from lack of detailed clinical data and relevant family history. Moreover, to be
able to process the vast amounts of data originating from whole-genome and whole-exome sequencing
(WGS/WES) much of the existing literature is restricted to cancer gene panels and single nucleotide variants
(SNVs).
New methodologies are needed to efficiently investigate the potential for predisposing variants outside of
well-established cancer risk genes. Historically, pediatric CNS tumors must have been almost universally
fatal causing any germline event associated with high risk of CNS tumors in childhood to be evolutionarily
disadvantageous and to likely die out from natural selection. Consequently, genes exhibiting evolutionary
intolerance of predicted loss-of-function (pLoF) alterations may serve as areas of particular interest when
investigating inherited pediatric cancer susceptibility. A recent study on 141.456 individuals has provided
empirical evidence of such highly constrained genes defined by a low LoF observed/expected upper bound
fraction (LOEUF) indicating depletion of pLoF variation8. The potential of LOEUF score as a marker for
evolutionary constraint for the identification of new childhood cancer predisposition genes remains
unexplored.
In this nationwide germline WGS study, we seek to establish the prevalence of both pathogenic SNVs and
structural variants (SVs) across known cancer predisposition genes in a population-based cohort of 128
children consecutively diagnosed with CNS tumors. Moreover, we hypothesize that pediatric-onset CPS
(pCPS) genes show significantly higher constraint than other genes, including adult-onset CPS (aCPS) genes
(hypothesis 1). If confirmed, germline pLoF variants in highly constrained genes identified in pediatric
cancer cohorts are more likely to be pathogenic than those found in non-constrained genes (hypothesis 2). As
a part of the study, these hypotheses are tested and employed to identify novel putative pCPS genes. Lastly,
we examine the potential value of systematic pedigree analysis in detecting putatively pathogenic germline
variants.
Methods
Cohort and sequencing
All children (<18 years of age) diagnosed with primary cancer in Denmark were prospectively offered
inclusion over a five-year-period and stratified in a CNS and non-CNS cohort according to primary disease
location. As described elsewhere
9, WGS of leukocyte DNA was performed for each patient and detailed
pedigree and medical history information was recorded (detailed in Supplementary Methods).
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Gene panel analysis
SNVs and SVs in a panel of 315 selected cancer related genes
3,10 were extracted from WGS data and
classified by a multidisciplinary team in accordance with ACMG guidelines11 (detailed in Supplementary
Table 1 and Supplementary Methods).
Broader gene analyses
Predicted loss-of-function (pLoF) SNVs and SVs were explored in two broader analyses (both detailed in
Supplementary Methods):
● Variant burden analysis: The number of pLoF variants in all genes was counted for the CNS and the
non-CNS cohorts. Higher pLoF variant burden in the CNS cohort was ascribed to any gene with a
rate ratio of three or higher compared to children with non-CNS cancer.
● Constraint gene analysis: pLoF variants among 2,971 evolutionarily constrained genes were
extracted and manually curated. Constrained genes with pLoF variants found in the CNS cohort were
assessed by scientific literature review and the Gene Ontology (GO) knowledgebase
12 and String-
db13.
Tumor sample investigations
Tumor samples underwent routine histopathological examination including methylation profiling and
investigations of DNA mutations and RNA fusions common to the pediatric neuro-oncological population
(detailed in the Supplementary Methods).
Ethical considerations
This study was approved by the Capitol Region Committee on Health Research Ethics (H-15016782) and the
Danish Data Protection Agency (RH-2016-219). Oral and written informed consent was collected from all
participants and parents/legal guardians depending on age.
Statistical analysis
Statistical analyses were conducted using IBM SPSS Statistics (v.25) and R (v.3.6.1). The statistical tests
used are specified.
Results
Baseline characteristics
128 children with CNS tumors (females 43.0%) were included corresponding to an inclusion rate of 84.2%
of eligible patients. The main reason for exclusion was language barriers. Median age at diagnosis was 7.0
years (SD 4.7). Gender ratio, tumor type distribution and location (Table 1 & Supplementary Figure 2) were
in line with existing population-based reports
1.
Known cancer related gene findings
WGS data from all 128 patients identified 2,751 SNVs and 985 candidate SVs in the 315 cancer related
genes. 13 patients (10.2%) were found to carry pathogenic germline variants (11 SNVs, two SVs). Five NF1
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variants were detected, while the remaining were identified in APC, BAP1, GNAS, POLE, PTCH1, SUFU,
TP53 and TSC2. Detailed information on the identified germline variants and relevant clinical data for
affected patients are available in Table 2 and 3, respectively. Identical frameshift mutations in PMS2
[c.2186_2187delTC, p.Leu729Glnfs*6] were identified in two children with pilocytic astrocytoma with
KIAA1549-BRAF fusions. Both were, however, subsequently identified as pseudogene variants by Long
Range PCR.
More females tended to harbor a pathogenic CPS gene variant (9/55) compared to males (4/73) (Fisher’s
exact test, p=0.073). A lower median age at diagnosis for children with pathogenic variants (4.4 years (SD
5.4) vs. 7.2 years (SD 4.6)) was observed (Mann-Whitney U test, p=0.496). No significant association
between major tumor types (Supplementary Table 2) and being affected by a pathogenic CPS gene variant
was detected (Fisher’s test, p=0.076).
The tumor type with the highest proportion of patients with pathogenic germline findings was
medulloblastoma (5/16), significantly higher than for all other tumor types (8/112) (OR 5.9, CI 1.6-21.2). As
expected, the majority of pathogenic variants was found in patients with sonic hedgehog activated
medulloblastoma (MB
SHH, 4/5). The difference in pathogenic germline variant carrier frequencies across
medulloblastoma molecular subtypes was not significant (Fisher’s test, p=0.175) (Supplementary Table 3).
Gliomas accounted for just over half of the cohort (50.8%), of which low-grade gliomas made up the
majority (47/65). No convincing difference in proportions of pathogenic germline mutations was seen when
comparing children with low- and high-grade gliomas (6/47 vs. 0/18, Fisher’s test, p=0.175) or low (I-II,
3/69) and high (III-IV, 6/49) WHO grade tumors (Fisher’s test, p=0.160).
Children with or without a predisposing germline variant did not have significantly different tumor location,
defined as supratentorial, posterior fossa, and intraspinal (4/44 vs. 8/68 vs. 0/5, Fisher’s test, p=0.863).
Two children were diagnosed with a second primary CNS tumor during the course of this study: a diffuse
high-grade hemispheric glioma, H3/IDH1 wild-type in a child harboring a pathogenic POLE variant several
years following the primary MB
SHH diagnosis (case 4) and a supratentorial anaplastic astrocytoma, IDH1
wild-type in a child carrying a predisposing TP53 variant formerly diagnosed with MBSHH (case 5).
Moreover, one patient with an NF1 frameshift variant diagnosed with bilateral optic pathway glioma also
suffered from a hematological malignancy (case 11). The likelihood of being diagnosed with multiple
malignancies was significantly higher for carriers of CPS gene variants (3/13 vs 0/115, Fisher’s test, p=8e-4
(p=0.01 when restricted to second CNS tumors)).
Whole genome variant burden analysis
Burden analysis revealed enrichment of pLoF SVs or SNVs in a myriad of genes in the CNS cohort
compared to non-CNS cancer controls (Supplementary Figure 1 & 2). As expected, all nine of the pLoF
variants in genes known to cause pCPS were found to be enriched in the CNS cohort. However, variants in a
total of 1,533 genes (mean 12.1 per patient) occurred more frequently among cases than controls. Hence, the
seven known pCPS genes only constituted 0.5% of all genes identified as enriched. Clearly, burden analysis
is of limited use in cohorts with a size and heterogeneity like ours, so we considered whether gene constraint
may be more precise in identifying known, and novel, pCPS genes.
Hypothesis 1: Genes associated with pCPS show significantly higher constraint than both aCPS genes and
all other genes
To test Hypothesis 1, a clinical panel of genes associated with pCPS
14 was compared to a panel of genes
associated with CPS regardless of onset10. This yielded 60 genes associated primarily with pCPS, while
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another 47 genes were primarily associated with aCPS. The remaining 19,090 genes were grouped as ‘other’.
The three groups showed significant differences in LOEUF scores (Kruskal-Wallis test, p=1e -19) and
exhibited pairwise significantly lower LOEUF for pCPS genes than for both aCPS related genes (median
0.26 vs. 0.58; Wilcox test, p=5e-4) and all other genes (median 0.26 vs. 0.92; Wilcox test, p=2e-17) (Figure 1).
The seven established CPS genes, in which pathogenic pLoF variants were found in our cohort showed the
same trend (mean LOEUF 0.19 vs. 0.95; t-test, p=1e-4).
Figure 1.
Comparisons of constraint (as determined by LoF variant observed vs. expected upper fraction (LOUEF) score) between genes known to be
associated with adult and pediatric cancer risk vs. genes not associated with cancer.
A: Boxplot comparing LOUEF scores of genes not known to be associated with cancer risk (in green) to adult- and pediatric-onset cancer
predisposition syndrome associated genes (aCPS and pCPS in red and blue, respectively). Overlayed jitter plot shows exact distribution of LO
scores for aCPS and pCPS genes.* p = 5e-4, ** p = 2e-17.
B: Shows genes associated with pCPS for each chromosome and their LOEUF scores, labeled with gene name where possible. The y axis is re
to show higher constraint higher on the axis.
C: Same as plot B for genes associated with aCPS.
Grey dotted line at 0.35 shows cut-off for high constraint in all panels. Only autosomal dominant and X-
linked recessive cancer predisposition
syndrome phenotype have been included. In panels B & C genes with a LOEUF score higher than 1 have been set to 1.00.
Hypothesis 2: Germline pLoF variants in highly constrained genes identified in pediatric cancer cohorts ar e
more likely to be pathogenic than those found in non-constrained genes
CNS cohort WGS data harbored 2,149 germline pLoF variants (1,458 SNVs and 691 SVs) in 1,870 distinct
genes (Supplementary Figure 1 & 2), of which just 0.4% were known to be associated with pCPSs. Filtering
to highly constrained genes, 104 variants across 94 genes in 66 individuals remained (Supplementary Table
4). Of these, manual curation identified 66 (63%) variants in 60 genes as both likely true (high-confidence)
and rare among 47 patients. Encouragingly, eight of the nine (89%) pLoF variants in our cohort known to
cause pCPSs were found among the 66 variants. Thus, 12% of pLoF variants found in the constrained gene
analysis could immediately be appreciated as pathogenic (Figure 2). When subgrouping degree of constraint
into deciles, the first, second, third and fourth most constrained deciles of genes had the highest (2/8; 25%),
r’.
).
OEUF
reversed
on
e
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second highest (2/13; 15%), third highest (2/23; 9%) and fourth highest (1/48; 2%) proportion of known CPS
genes (two-sided Cochran-Armitage trend test, p=0.021) (Figure 3).
Figure 2.
Illustration of all rare predicted loss-of-function (pLoF) variants observed in whole genome sequencing (WGS) data from our cohort. The y a
is reversed to show higher constraint further up on the axis. Genes known to be associated with pediatric-onset cancer predisposition syndrom
(pCPS) found on panel analysis are labeled with gene names in red. All genes that showed high constraint (LoF variant observed vs. expecte
upper fraction (LOUEF) score lower than 0.35) are shown with turquoise dots and labeled with gene names in black. All genes with low
constraint (LOUEF score lower than 0.35) are shown with unlabeled red dots. Grey dotted line at 0.35 shows cut-off for high constraint.
The two most constrained gene variants were detected in a child with an anaplastic MBSHH A
TP53 wt,
without C-/NMYC amplification and included a heterozygous EHMT1 35.5kb deletion (chr9:140592043-
140627560) and a heterozygous EIF3B frameshift variant (p.Ser590Valfs*12). Several years prior to the
tumor diagnosis, the patient had been referred to genetic counseling with mild facial dysmorphia and small
biometrics (height, weight and head circumference). Here, the EHMT1 deletion was identified by microarray
in both the patient and one reportedly unaffected parent. SNV and SV analyses of tumor WGS data did not
show loss of heterozygosity.
Collectively for all 60 constrained genes, the Gene Ontology (GO) knowledgebase12 and String-db13 revealed
multiple significant enrichments. However, after comparing with the enrichments already present among the
2,960 constrained genes only neuron to neuron synapse cellular component enrichment remained significant
(6.34-fold enrichment vs. all genes; FDR=3.7e-02. OR 2.28 vs. constrained genes; Fisher’s exact test p =
0.048) (Figure 3).
S
y axis
romes
cted
y
ed
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Figure 3.
Illustration of the 60 genes found to have predicted loss-of-function (pLoF) variants in constrained genes in our cohort. Genes are ordered fr
lower (left) to higher (right) LoF variant observed vs. expected upper fraction (LOUEF) score and grouped by decile. Lines illustrate interac
(medium confidence or higher) with color indicating type of interaction evidence based on String-db’s internal algorithm.
Pedigree analysis
3,543 1st to 3rd degree relatives were included in the analysis of pedigrees (available for 122 patients). The
mean number registered per family was 29.0 (SD 7.3). No significant differences were seen in the number of
1st- 3rd degree relatives affected by cancer between families of probands with or without predisposing
variants in known CPS genes (3.0 vs 3.7, independent samples T-test p=0.446). Taking into account both the
number of relatives with and without cancer and their degree of relation by using the pedigree-based
weighted family cancer incidence score did not result in any significant difference (mean score 0.094 vs
0.101, Wilcoxon rank sum test, p=0.648). Limiting the analyses to 1st/i2 2nd degree relatives, cancers with early
onset (<45 years) and neoplasms of the CNS yielded similar inconclusive results (Supplementary Results).
Lastly, scores for patients carrying pLoF alterations in constrained genes did not differ significantly from
patients without such variants (Wilcoxon rank sum test, 0.092 vs. 0.104, p= 0.318).
from
actions
f
e
ly
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9
Discussion
In this population-based study, we performed germline WGS of children with CNS tumors to assess the true
frequencies and characteristics of pathogenic variants across known CPS genes. In addition, the degree of
evolutionary LoF variation intolerance in known pCPS genes was investigated and compared to that of aCPS
genes and all other genes. We also illustrate how constrained gene analysis may aid in identifying novel
potential pediatric CNS cancer predisposition genes. To our knowledge, this is the first investigation to
include constrained gene analysis within pediatric cancer.
Known cancer predisposition genes
Our findings indicate that ~10% of children with CNS tumors harbor an underlying predisposing variant in a
known CPS gene and that such rare, high-risk variant mediated tumor susceptibility varies greatly between
tumor types. This is in line with findings from large-scale pan childhood cancer studies using similar cancer
gene sets2,3 . The detected carrier frequency is significantly lower than the 35% reported by Kline et al4 , likely
due to their larger fraction of high-grade and recurrent tumors and less stringent variant classification.
Medulloblastoma represented the tumor type with the highest proportion of risk variants within known CPS
genes (31%; 5/16). This significantly exceeds the 11% reported by Wasznak et al6 in a study on
medulloblastoma of all ages. The discrepancy is likely due to an overrepresentation of the MBSHH (44% vs
20%) in our relatively smaller cohort. Our findings clearly support the recent recommendation to offer
genetic testing and counseling for children diagnosed with MB
SHH
6.
Glioma constituted the most frequent tumor type. Six (9%) children with glioma were found to carry a CPS
gene alteration, compared to the 11% reported in a recent WES population-based study including 280
children with astrocytoma
5. While all detected CPS gene variants in our cohort were found in patients with
low-grade glioma, the highest proportion reported by Muskens et al5 was among children with glioblastoma.
This difference is likely a result of oversampling of high-grade tumors and a larger sample size in the
comparator study.
Novel links between specific tumor entities and established CPS genes
The majority of the observed pathogenic rare CPS gene variants and their associated increased risk of
specific brain and spinal cord tumors in children are well-established, e.g. APC and MBWNT (Table 2).
However, we also detected variants in three such CPS genes not previously linked to the pediatric CNS
tumor phenotype found in our study. These included a GNAS frameshift mutation in a child with an optic
pathway glioma, an inherited BAP1 mutation in a teenager with an anaplastic meningioma and a de novo
POLE missense mutation in a patient with MBSHH (Table 2 & 3). Detailed reviews of these cases are
provided in Supplementary Discussion. The latter has recently been described in more detail in an
independent case series on children with POLE variants and constitutional mismatch repair deficiency
(CMMRD) syndrome-like phenotypes15.
Constrained gene and variant burden analyses
The pathogenic germline alterations found in 10% of children with CNS tumors were identified through
subsetting WGS data to a panel. This revealed 3,736 rare variants of which 13 (0.4%) were found to be
pathogenic after careful variant board consideration. Limiting analysis to a panel leads to an underestimation
even of the genetic risk identifiable by WGS, as only established CPS genes are assessed. With an estimated
20,000 human genes, it is imperative to develop efficient approaches to focus bioanalytical efforts when
investigating WGS data for predisposing variants outside of such known cancer genes. Variant burden
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10
analysis is one such approach. Yet, in our heterogeneous data, the known CPS genes constituted only 0.5%
of genes with higher variant burden in the CNS cohort.
We formulated and tested a novel approach to gene-disease discovery in pediatric oncology. Genetic
predisposition to childhood cancer is necessarily evolutionarily distinct from that of adult malignancies, as
variants with high risk of fatal childhood cancers would continuously have been eliminated by natural
selection. Recently, vast progress has been made within aggregation of NGS data enabling the identification
of pLoF intolerant genes across the human genome
8. In this study, we find supporting evidence for our
Hypothesis 1 stating that genes known to be strongly associated with childhood cancer predisposition show
higher pLoF constraint than both adult-onset cancer predisposition genes and other genes in general. In fact,
the median LOEUF score for genes associated with pediatric-onset malignancies was shown to be less than
half of that of adult cancer predisposition genes and less than a third compared to all other genes. This novel
and biologically based method of filtering NGS data to genes exhibiting pLoF constraint thus provides a
mechanism of focusing on genomic areas of particular interest to pediatric cancer research - and a potential
approach to further uncover heritability of childhood CNS tumors.
Our Hypothesis 2, stating that constraint may identify novel CPS genes, will need further validation in
independent pediatric cancer cohorts. However, multiple aspects of our findings support the proposed
methodology. Eight out of nine (89%) pLoF variants found among the six genes known to cause pCPS were
observed among 60 (10%) genes found in our constrained gene analysis. Additionally, a dose-response trend
was observed with larger proportions of known CPS genes within deciles of higher constraint (Figure 3).
This raises the question of whether one or more of the remaining 54 genes play a role in CNS tumor
predisposition.
We show that these genes tend to be highly expressed in the CNS and are significantly more involved in
neuron-to-neuron cellular components than would be expected even within constrained genes. Mounting
evidence indicates that neuronal activity plays a critical role in cancer progression, especially in CNS
tumors16. Somatically, altered neuronal activity has been shown to drive growth of CNS malignancies both
through growth factors and through electrochemical synaptic signalling17. To our knowledge, this concept
has not been described with regard to germline predisposition and our results may inform further research
herein.
A heterozygous, inherited deletion within the extremely constrained EHMT1 gene was detected in a patient
with MBSHH A. Loss of EHMT1 causes hypomethylation of H3K9 and this process plays a key role in the
pathogenesis of medulloblastoma18. Homozygous somatic deletions of EHMT1 have previously been
detected in a molecular study of 1,000 medulloblastomas in two patients; both with the SHH subtype19.
These somatic deletions were not found in matched germline DNA. Loss of heterozygosity was not detected
in the tumor of our patient. Heterozygous germline mutations in EHMT1 are known to cause Kleefstra
Syndrome, which is characterized by intellectual disability, autistic-like features, childhood hypotonia, and
distinctive facial features20. However, pathogenic/truncating alterations causing Kleefstra Syndrome
converge within/prior to the SET-domain located late in the gene (Supplementary Figure 4)21, while the
deletion in our cohort removes exon 2-4. Deletions inside or across the EHMT1 gene are absent in more than
10.000 individuals in gnomAD (SV v.2.1). As described, our patient showed a syndromic phenotype
extending beyond the cancer diagnosis. Speculatively, early gene deletion may alter, but not eliminate gene
function, leading to a phenotype distinct from classic Kleefstra syndrome and perhaps predispose to MBSHH.
Other identified constrained genes of apparent interest include, but are not limited to ASTN2, KIF1B and
PHF3. Two patients with medulloblastoma (MBSHH & MBGrp3) harbored deletions in ASTN2, which encoded
protein functions in neuronal migration22. ASTN2 is highly expressed in the cerebellum, including in early
cerebellar progenitor cells, from which both MBSHH (migrating granule cell progenitors) and MBGrp3
(undifferentiated progenitor-like cells) are believed to originate 23–25. Interestingly, ASTN2 has been shown to
be significantly down-regulated in MBSHH with a -3.1 fold change in gene expression compared to non-SHH
activated medulloblastoma26.
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KIF1B, in which a pLoF variant was detected in a child with TP53 mutated MBSHH, is highly expressed in
fetal cerebellar tissue27,28 and has been suggested to act as a haploinsufficient tumor suppressor involved in
the pathogenesis of embryonal nervous system tumors such as neuroblastoma, paraganglioma and
medulloblastoma29–31. The patient also carried the described pathogenic missense variant in the POLE gene.
Of interest, a child with di-genic POLE and PMS2 pathogenic variants and MBSHH was recently reported,
suggesting that cancer predisposition driven by germline POLE variants may have important modifiers32.
Another pLoF variant was detected in PHF3 in a patient with a midline glioblastoma, IDH wt. Interestingly,
downregulation of PHF3, which has been shown to occur frequently in glioblastoma33, has recently been
suggested to drive glioblastoma development by depression of transcription factors that regulate neuronal
differentiation34(p3).
Pedigree analysis
Family cancer incidence did not differ significantly between children with or without predisposing germline
alterations, which is in line with findings in comparable cohorts
3,35. The introduced novel pedigree-based
family cancer incidence score, which weighs both the number of relatives registered with and without cancer
and their relation to the proband, also did not differ between families of probands harboring pathogenic CPS
gene variants. Consequently, our data does not support family history as a sole indication for genetic testing.
A high family cancer incidence would be expected to result from inherited highly penetrant variants. The
limited predictive power of pedigrees possibly reflects that variants associated with high childhood cancer
risk tend to be de novo and/or located in highly constrained genes. While variants with moderate or low
penetrance may not infer sufficient risk to create a detectable cancer signal in pedigrees. Our sample size
limited stratification by de novo status.
Strengths and weaknesses
Key strengths of this study include; a prospective population-based design (Supplementary Figure 4) and a
combination of WGS data and deep phenotyping, up-to-date neuropathology reports including methylation
profiling and detailed clinical data and multigenerational family histories. Also, our study included SV
detection and went beyond panel-based analysis, the value of which is illustrated by the pathogenic SUFU
and NF1 deletions detected and by findings from the burden and constrained gene analyses.
The relatively short and variable length of follow-up made investigations into correlations between germline
variants and prognosis/survival unjustified. Meaningful comparisons of age of onset and pedigree-based
incidence scores for children harboring pLoF variants in constrained genes other than known pCPS genes
were limited by sample size. Moreover, parental sequencing was only available for cases with pathogenic
alterations in known CPS genes - not other constrained genes.
However, as the cohort will continue to increase in size and length of follow-up, assessment of the role of
germline variants for treatment response, toxicity and patient outcomes will become possible. Optimally, a
large whole-genome sequenced control cohort of healthy, ethnically comparable children will be available
for such future investigations. This was not the case for the current study, and the use of a pediatric non-CNS
cancer cohort may have affected our burden analysis in a conservative direction. The main reason for
exclusion was lack of Danish or English language proficiency which may have conferred exclusion bias
towards certain ethnical minorities. Restricting inclusion of children with optic pathway gliomas to patients
who received active treatment may have negatively affected the cohort prevalence of NF1 variants. SV
analyses included only deletions detectable on WGS, which, while generally superior to panel or WES,
identifies fewer SVs than third generation sequencing
36.
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12
In summary, this population-based study establishes that ~10% of pediatric brain and spinal cord tumors can
be attributed to rare variants in known CPS genes. Moreover, we introduce a novel approach to investigate
pLoF variants in constrained genes and how this methodology may increase the understanding of genetic
susceptibility in children with CNS tumors. Our findings clearly illustrate the importance of assessing both
SVs and SNVs when investigating genetic predisposition to childhood cancer. These results have direct
implications for clinical genetic counseling, may inform future novel gene-disease association studies and
add to the mounting evidence of genetic predisposition in pediatric neuro-oncology.
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Table 1. Baseline characteristics
SD; standard deviation, wt; wild-type, SHH; sonic hedgehog activated, WNT; wingless activated, PFA; posterior fossa type A, ST-
RELA; supratentorial REL-associated protein/p65 fusion positive, TYR; tyrosinase, WHO; World Health Organization
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14
Table 2. Overview of rare pathogenic variants in known cancer predisposition genes among 128 children with CNS tumors
# Chromosom
al location
(hg19)
Gene Ontolo
gy
HGVS p. [HGVS c.] Clinic
al
signifi
cance
Pathway/function VAF
[alt/total
]
Associated CPS (CNS tumors with
increased risk)
Pathology in
current cohort
Inherited/de
novo
1* chr16:21343
64
TSC2 Frames
hift
p.Leu1382Profs*32
[NM_000548:c.4144dupC]
LP Tumor suppressor 0.40
[8/20]
Tuberous sclerosis (subependymal
giant cell astrocytoma37)
Subependymal
giant cell
astrocytoma
de novo
2 chr20:57415
711
GNAS Frames
hift
p.Glu190Alafs
[NM_016592.3:c.559_566du
pAGCCCCAG]
LP G protein-coupled
receptor signaling
0.42
[13/31]
Novel CPS (medulloblastoma
38) Optic pathway
glioma
Parents not tested
3 chr9:982688
24
PTCH1 Frames
hift
p.Leu87Ilefs*2
[NM_000264.3:c.258_259de
lCT]
P Sonic hedgehog
signaling
0.50
[14/28]
Gorlin syndrome (medulloblastoma39) Medulloblastoma,
SHH
Inherited
4 chr12:13324
9842
POLE
Missen
se
p.Ser461Thr
[NM_006231.3:c.1381T>A]
LP DNA repair and
replication
0.60
[24/40]
Polymerase Proofreading-associated
Syndrome (high-grade glioma
15,40)
Medulloblastoma,
SHH (subsequent
diffuse high-grade
glioma, H3/IDH1
wt)
de novo
5 chr17:75771
20
TP53 Missen
se
p.Arg273His
[NM_000546.5:c.818G>A]
P Tumor suppressor 0.45
[15/33]
Li–Fraumeni (astrocytoma,
medulloblastoma, choroid plexus
tumors41)
Medulloblastoma,
SHH, (subsequent
hemispheric
anaplastic
astrocytoma, IDH1
wt)
Only one parent
tested (negative)
6 chr5:112174
947
APC Frames
hift
p.Thr1220Profs*46
[NM_000038.5:c.3656_3657
dupCC]
LP Tumor suppressor 0.52
[14/29]
Turcot Syndrome (medulloblastoma,
astrocytoma, ependymoma
42)
Medulloblastoma,
WNT
Inherited
7 chr3:524391
49
BAP1 Frames
hift
p.His364Glnfs*33
[NM_004656.3:c.1092_1093
delCA]
P Deubiquitination,
regulation of cell
cycle, DNA
damage response
0.51
[35/68]
BAP1 tumor disposition syndrome
(meningioma43)
Anaplastic
meningioma
Inherited
8 chr17:29541
542
NF1 Missen
se
p.Tyr489Cys
[NM_001042492.2:c.1466A
>G]
P Ras-MAPK
signaling
0.66
[39/59]
Neurofibromatosis 1 (optic pathway
glioma, other low-grade gliomas
44)
Optic pathway
glioma
de novo
9* chr17:29553
478
NF1 Frames
hift
p.Ile679Aspfs*21[NM_0002
67.3:c.2033dupC]
P Ras-MAPK
signaling
0.27
[8/30]
As described for case 8 Pilocytic
astrocytoma
de novo**
10 chr17:29654
857
NF1 Missen
se
p.Arg1870Gln
[NM_001042492.2:c.5609G
>A]
P Ras-MAPK
signaling
0.52
[26/50]
As described for case 8 Unknown tumor
type: likely low-
grade glioma
Inherited
11 chr17:29533
319
NF1 Frames
hift
p.Met442Valfs*3
[NM_000267.3:c.1324_1325
delAT]
P Ras-MAPK
signaling
0.83
[45/54]
As described for case 8 Optic pathway
glioma
Inherited
12 chr10:10426 SUFU Microd c.183-1007_317+15230del LP Sonic hedgehog ~0.47 Gorlin syndrome (medulloblastoma39) Medulloblastoma, de novo
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15
7919-
104284310
eletion [NM_016169.3:16,352bp
del]
signaling [~27/~57
]
SHH
13 chr17:29660
179-
29751689
NF1 Microd
eletion
exon 41-58del
[NM_001042492.2:91510bp
del]
P Ras-MAPK
signaling
~0.49
[~20/~41
]
As described for case 8 Pilocytic
astrocytoma
Inherited
SNV; single nucleotide variant, SV; structural variant, HGVS; Human Genome Variation Society, LP; likely pathogenic, P; pathogenic, VAF; variant allele frequency, CPS; cancer
predisposition syndrome, wt; wild-type, CNS; central nervous system, SHH; sonic hedgehog activated, WNT; wingless activated; *reported in Byrjaldsen et al9, **presumed de novo
based on lack of phenotype in parents
Table 3. Clinical information for the 13 patients identified with rare pathogenic cancer predisposition gene alterations
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16
# Gene CNS tumor diagnosis, molecular subtype, WHO
grade
Tumor location Tumor methylation class (score) Most relevant somatic alteration(s) Age at
diagnosis*
(0-8; 9-
17y)
1 TSC2 Subependymal giant cell astrocytoma, WHO I Lateral ventricle N/A None detected. Classical histopathology and IHC 0-8
2 GNAS Optic pathway glioma Optic nerve,
intraorbital
N/A Not biopsied 0-8
3 PTCH
1
Nodular/desmoplastic medulloblastoma, SHH
activated, TP53 wt, WHO IV
Vermis Medulloblastoma SHH (0.99), subclass
SHH B (infant) (0.98)
SNVs of unclear clinical significance in JAK3,
ERBB4, NOTCH1. No C- or NMYC
amplification
0-8
4 POLE
Anaplastic/nodular/desmoplastic medulloblastoma,
SHH activated, TP53 mutated, WHO IV
Cerebellar
hemisphere
Medulloblastoma SHH (0.97), subclass
SHH A (children and adult) (0.82)
TP53, HNF1A and PIK3CA mutations. SNV of
unclear clinical significance in VHL. No C- or
NMYC amplification
0-8
Diffuse pediatric high-grade glioma, H3 and IDH1
wt
Temporal lobe Pediatric-type diffuse high-grade glioma
(0.99)
TP53 and RB1 mutations. PTPN11 variant of
unknown significance
0-8
5 TP53
Anaplastic and nodular/desmoplastic
medulloblastoma, SHH activated, TP53 mutated,
WHO IV
Cerebellar
hemisphere
Medulloblastoma SHH (0.99), subclass
SHH A (children and adult) (0.96)
TP53 mutation. Loss of 2q and 5q, partial loss of
8q and 10q. No C- or NMYC amplification
0-8
Anaplastic astrocytoma, IDH wt, WHO III Frontal lobe No match >= 0.3 TP53 mutation 9-17
6 APC Nodular/desmoplastic medulloblastoma, WNT
activated, TP53 wt, WHO IV
Fourth ventricle Medulloblastoma WNT (N/A) TERT promoter and PIK3CA mutation 0-8
7 BAP1
Anaplastic meningioma, WHO III Petrous and
mastoid bones,
jugular vein
Meningioma (0.91), meningiomas
intermediate (0.61), meningiomas
intermediate A (0.58)
BAP1 mutation. Partial loss 3p 9-17
8 NF1
Optic pathway glioma Optic nerve and
optic chiasm
N/A Not biopsied 0-8
9 NF1 Pilocytic astrocytoma, BRAF wt, WHO I Suprasellar/hypot
halamus
N/A (insufficient tumor tissue) Inconclusive KIAA1549-BRAF fusion analysis 9-17
10 NF1 Well-circumscribed tumor of unknown type
(tentative diagnosis based on radiological findings:
low-grade glioma)
Mesencephalon N/A Not biopsied 9-17
11 NF1 Optic pathway glioma (later also diagnosed with a
hematological malignancy)
Bilateral optic
nerves,
prechiasmal
N/A Not biopsied 0-8
12 SUFU Nodular medulloblastoma, SHH activated, TP53
wt, WHO IV
Fourth ventricle Medulloblastoma SHH (N/A), subclass
SHH B (infant) (N/A)
No C- or NMYC amplification 0-8
13 NF1 Pilocytic astrocytoma, BRAF wt, WHO I 1) Brainstem 2)
Cerebellar
hemisphere
1) Pilocytic astrocytoma (0.85), low
grade glioma, subclass midline pilocytic
astrocytoma (0.81)
2) Low grade glioma, pilocytic
astrocytoma subtype, infratentorial (0.39)
1) Gain of chromosomes 5, 6, 7 and 12, loss of
chromosomes 3 and 18. Loss of 13q and 18q
2) Gain of chromosomes 4, 6, 8, 12. Gain of 15q
No pathogenic mutations/fusions detected.
9-17
IHC; immunohistochemistry, SNV; single nucleotide variant, SHH; sonic hedgehog, WNT; wingless, N/A; not available/applicable, wt; wild-type, *both years included
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