Next Article in Journal
The Role of Extracellular Vesicles in Melanoma Progression
Next Article in Special Issue
Clinical Spectrum and Tumour Risk Analysis in Patients with Beckwith-Wiedemann Syndrome Due to CDKN1C Pathogenic Variants
Previous Article in Journal
Proposal of New Safety Limits for In Vivo Experiments of Magnetic Hyperthermia Antitumor Therapy
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Cancers
Volume 14
Issue 13
10.3390/cancers14133083
cancers-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Molecular Basis of Beckwith–Wiedemann Syndrome Spectrum with Associated Tumors and Consequences for Clinical Practice

by
Thomas Eggermann
1,*,
Eamonn R. Maher
2,
Christian P. Kratz
3 and
Dirk Prawitt
4
1
Institute of Human Genetics, Medical Faculty, RWTH Aachen, 52074 Aachen, Germany
2
Department of Medical Genetics, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
3
Paediatric Haematology and Oncology, Hannover Medical School, 30625 Hannover, Germany
4
Center for Paediatrics and Adolescent Medicine, University Medical Center, 55101 Mainz, Germany
*
Author to whom correspondence should be addressed.
Cancers 2022, 14(13), 3083; https://doi.org/10.3390/cancers14133083
Submission received: 16 May 2022 / Revised: 19 June 2022 / Accepted: 20 June 2022 / Published: 23 June 2022
(This article belongs to the Special Issue Beckwith–Wiedemann Spectrum and Cancer)
Browse Figure
Review Reports Versions Notes

Abstract

:

Simple Summary

Beckwith–Wiedemann syndrome (BWS, OMIM 130650) is an inborn overgrowth disorder caused by molecular alterations in chromosome 11p15.5. These molecular changes affect so-called imprinted genes, i.e., genes which underlie a complex regulation which is linked to the parental origin of the gene copy. Thus, either the maternal gene copy is expressed or the paternal, but this balanced regulation is prone to disturbances. In fact, different types of molecular variants have been identified in BWS, resulting in a variable phenotype; thus, it was consented that the syndromic entity was extended to the Beckwith–Wiedemann spectrum (BWSp). Some molecular subgroups of BWSp are associated with an increased embryonic tumor risk and have different likelihoods for specific tumors. Therefore, the precise determination of the molecular subgroup is needed for precise monitoring and treatment, but the molecular diagnostic procedure has several limitations and challenges which have to be considered.

Abstract

Beckwith–Wiedemann syndrome (BWS, OMIM 130650) is a congenital imprinting condition with a heterogenous clinical presentation of overgrowth and an increased childhood cancer risk (mainly nephroblastoma, hepatoblastoma or neuroblastoma). Due to the varying clinical presentation encompassing classical, clinical BWS without a molecular diagnosis and BWS-related phenotypes with an 11p15.5 molecular anomaly, the syndromic entity was extended to the Beckwith–Wiedemann spectrum (BWSp). The tumor risk of up to 30% depends on the molecular subtype of BWSp with causative genetic or epigenetic alterations in the chromosomal region 11p15.5. The molecular diagnosis of BWSp can be challenging for several reasons, including the range of causative molecular mechanisms which are frequently mosaic. The molecular basis of tumor formation appears to relate to stalled cellular differentiation in certain organs that predisposes persisting embryonic cells to accumulate additional molecular defects, which then results in a range of embryonal tumors. The molecular subtype of BWSp not only influences the overall risk of neoplasia, but also the likelihood of specific embryonal tumors.

1. Introduction

Beckwith–Wiedemann syndrome (BWS) is caused by defects in a group of imprinted genes in 11p15.5. Different types of genetic/epigenetic alterations can affect this fine-tuned expression, and result either in an overexpression (e.g., from biallelic expression) or a silencing of imprinted genes. Due to the varying clinical findings of patients with 11p15.5 disturbances, the syndromic entity was extended to the Beckwith–Wiedemann spectrum (BWSp). Several clinical features of BWS overlap with those of other imprinting disorders (i.e., transient neonatal diabetes mellitus (OMIM 601410), Kagami–Ogata syndrome (OMIM 608149), pseudohypoparathyroidism type 1B (OMIM 603233)), and this ambiguity is reflected by molecularly overlapping alterations. Molecular alterations in BWSp patients affect one or both imprinted regions in 11p15.5, which comprise the imprinting control regions 1 and 2 (IC1, IC2). Molecular changes in the same region also occur in patients with Silver–Russell syndrome (OMIM 180860), but in this growth retardation disorder the molecular alterations are opposite to those that occur in BWSp.

2. Clinical Features of BWSp

Clinically, the term BWSp describes a complex heterogenous and multisystem disease spectrum. It can be diagnosed by clinical assessment and/or molecular validation. The clinical features comprise characteristic developmental anomalies such as midline abdominal defects (e.g., exomphalos, umbilical hernia), enlarged tongue (macroglossia) and overgrowth (gigantism), lateralized overgrowth (hemihypertrophy) and neonatal hypoglycemia (for review: [1]).
Up to 8% of all BWSp patients develop an embryonal tumor during their early childhood but the exact tumor risk depends, however, on the precise causative genetic/epigenetic alteration. Thus, depending on the molecular subtype of BWSp, the childhood cancer risk ranges from 1 to 30%. The main tumor types associated with BWSp are Wilms tumor (nephroblastoma), hepatoblastoma and neuroblastoma [1,2].

3. The Chromosomal Region 11p15.5

The chromosomal region associated with BWSp was initially identified by rare cytogenetic anomalies in BWSp patients involving the distal short arm of chromosome 11 (11p15) [3,4]. The cytogenetic findings involved duplications of 11p13-11p15 [5,6], translocations [7,8,9] and paracentric inversions inv(11) (p11.2p15.5) [10] with the translocation and inversion breakpoints localized in 11p15 [9]. For familial chromosomal anomalies, duplications were found to be of paternal origin and translocations/inversions of maternal origin. In addition, analyses of polymorphic 11p15 markers in BWSp patients suffering from tumors showed preferential maternal-allele loss of 11p15.5 in the tumors [11].
Positional cloning efforts led to the identification of several genes in 11p15.5 that were shown to be imprinted and expressed only from the maternally or paternally derived allele. These genes can be grouped into two functionally independent genomic domains (Figure 1). The telomeric domain contains the genes for fetal growth factor IGF2 (paternally expressed, OMIM 147470) and the long non-coding RNA (lncRNA) H19 (maternally expressed, OMIM 103280), whereas the centromeric imprinted cluster includes the negative cell cycle regulator gene CDKN1C (maternally expressed, OMIM 600856) and the lncRNA KCNQ1OT1 (paternally expressed, OMIM 604115). The genomic imprinting in these clusters is regulated by parental-specific methylation of two domain-specific differentially methylated regions (DMRs) that mark the respective imprinting control regions (IC1 and IC2).
The IC1 lies within the telomeric imprinting cluster and is controlled by the H19/IGF2:IG DMR between IGF2 and H19. It consists of several repetitively arranged binding sites for the zinc finger protein CTCF (OMIM 604167) and Oct4/Sox2 (OMIM 164177/OMIM 184429). On the paternal allele, methylation of the IC1 differentially methylated region (DMR) prevents CTCF binding and, consequently, leads to expressional silencing of H19 and expression of IGF2 on this allele (via specific chromatin looping). The maternal IC1 is unmethylated, thus CTCF binding results in different chromatin looping and H19 is expressed, whereas IGF2 is transcriptionally repressed.
The centromeric IC2 is controlled by the KCNQ1OT1:TSS DMR. It is located at the transcriptional start site of the lncRNA KCNQ1OT1, an antisense gene of the ion channel KCNQ1 (OMIM 607542). Methylation on the maternal allele inhibits KCNQ1OT1 expression and enables transcriptional access to KCNQ1 and CDKN1C.

4. Molecular Subgroups and Their Causes

In contrast to SRS as its molecular counterpart, BWSp is exclusively linked to molecular alterations in 11p15.5. In BWSp patients, all four types of molecular alterations characteristic for imprinting disorders can be identified (Table 1). These molecular variants comprise genomic alterations (i.e., copy-number variation (CNV), uniparental disomy (upd), single-nucleotide variants (SNV)) and imprinting defects with an impact on the imprinting marks (Figure 1) but without changes of the DNA sequence in the differentially methylated region itself (called imprinting defects or epimutations).
A molecular defect affecting imprinted genes in chromosome region 11p15.5 can be demonstrated in approximately 80% of clinically characterized patients with a clinical diagnosis of BWSp [12]. However, in patients referred for diagnostic genetic testing for BWS, the diagnostic yield is approximately 25% (in preparation).
Imprinting defects (epimutations) in 11p15.5 are the most frequent molecular finding, with a loss of methylation (LOM) at the maternal KCNQ1OT1:TSS DMR allele (found in about 64% of positively tested BWSp cases) (in preparation) associated with transcriptional silencing of CDKN1C and presumably KCNQ1, as well as transcriptional upregulation of KCNQ1OT1 [13,14,15].
A subset of BWSp patients with KCNQ1OT1:TSS LOM (12.8%) and single cases with H19/IGF2:IG DMR GOM show aberrant methylation also in other clinically relevant imprinted loci in addition to the two 11p15.5 clusters; these multiple imprinting defects have been called multilocus imprinting defects (MLID) [16].
A gain of methylation (GOM) at the maternal H19/IGF2:IG DMR (IC2) (11.8% of patients) leads to biallelic IGF2 expression and H19 silencing [17,18]. In up to 20% of BWSp patients, both imprinting clusters are affected by a mosaic (segmental) paternal uniparental isodisomy (upd(11)pat) of 11p15.5, which occurs postzygotically as a result of mitotic recombination. As both ICs are affected, upd(11)pat results in IGF2 overexpression and silencing of H19 as well as CDKN1C. Within this cohort, between 4–5% exhibit a mosaic genome-wide paternal UPD, a so-called mosaic paternal uniparental diploidy.
Loss-of-function pathogenic variants in CDKN1C (5% of sporadic and 40% of familial cases) and chromosomal copy-number variations in 11p15.5 abolishing the structures and/or protein-binding abilities of either IC can be detected in less than 5% of patients. Due to the suppression of the maternal KCNQ1OT1 allele, the maternal CDKN1C copy is expressed and, therefore, pathogenic CDKN1C variants only have a clinical impact if they are localized on the maternal allele.
Copy-number variants (CNVs) in 11p15.5 account for 2.5% of molecular changes in BWSp patients and the majority comprise duplications of both IC1 and IC2 on the paternal allele. Accordingly, they result in overexpression of paternally expressed genes, whereas expression of maternally expressed imprinted genes in 11p15.5 is unaffected. If the CNV affects additional protein-coding genes, the clinical phenotype might be modified and, thereby, the clinical diagnosis of BWSp might be impeded.
In rare cases, small deletions and duplications have been identified and in these situations the prediction of their functional and clinical impact is difficult, as it is influenced by the size and content of genes and regulative elements. Additionally, the parental origin of the affected allele has to be considered. In this review, the general complexity of 11p15.5 CNVs can only be covered superficially, but for further details specific references are recommended (e.g., [19,20]).
Whereas UPD, CNV and SNV are examples of “classical” genetic disease mechanisms, the molecular cause of imprinting defects (epimutations) is not well understood in the majority of cases. However, environmental factors such as assisted reproduction techniques have been suggested to predispose to aberrant imprinting and the role of genetic causes in some cases is becoming increasingly recognized (for review: [21]). These causes can be divided into genomic alterations affecting (a) the genome of the proband and (b) the maternal genome. Genomic alterations (e.g., CNV or SNV) in the proband can be in cis (i.e., localized either within or close to the aberrant DMR) or in trans (remote from the DMR but with a functional impact on methylation of the DMR). Examples for genomic variants with an in cis effect in 11p15.5 are OCT4/SOX2 binding site alterations affecting the IC1, and KCNQ1 mutations with an impact on IC2 methylation [22,23]. ZFP57 (OMIM 612192), a protein involved in the maintenance of DNA methylation that is altered in transient neonatal diabetes mellitus, is a notable example of a trans-acting factor associated with multiple epimutations (for review: [24]). However, for BWS, the most frequent genetic causes of MLID are variants in the maternal genome in maternal-effect genes (e.g., NLRP2 OMIM 609364, NLRP5 OMIM 609658 and PADI6 OMIM 610363), which affect components of the oocyte subcortical maternal complex (SCMC). SCMC proteins orchestrate the proper maturation of the oocyte and the early embryogenesis prior to the activation of the fetal genome. Among other functions, some of these proteins are responsible for the maintenance of the imprinting pattern in the early embryo. Accordingly, biallelic maternal variants in these genes are associated with multilocus fetal imprinting defects (for review: [25]).

5. (Epi) genotype–Tumor Correlation

BWSp is clinically heterogenous and patients do not necessarily present with all associated features of BWS, nor with a molecular diagnosis [1]. The cardinal feature of a macroglossia can be observed in 90% of all BWSp patients. Midline defects such as exomphalos are also a cardinal feature of BWSp and are preferentially associated with reduced CDKN1C activity due to LOM KCNQ1OT1:TSS DMR or CDKN1C pathogenic variants [1]. In some cases, lateralized overgrowth (LO, due to hyperplasia and hypertrophy of affected cells) can be the only detectable phenotypic feature of BWSp (i.e., isolated lateralized overgrowth (ILO, OMIM 235000)) [26]. A diagnosis of BWSp is made in patients who have both ILO and a BWSp-related 11p15.5 molecular defect. Patients with BWSp-ILO are reported to have an increased risk for developing embryonal tumors, mainly nephroblastoma and hepatoblastoma and, despite having a mild BWSp phenotype, should be offered embryonal tumor surveillance according to the molecular subclass for more florid cases of BWSp [27,28,29]. The BWSp molecular subclasses most strongly associated with cancer predisposition are upd(11)pat and GOM at the H19/IGF2:IG DMR [30,31] (Table 2).
The cumulative risk of BWSp patients developing a nephroblastoma is ~5%, but other embryonal tumors including hepatoblastoma, neuroblastoma, adrenal carcinoma and rhabdomyosarcoma occur at lower frequencies. The individual tumor risk depends on the molecular cause of the syndrome. The GOM at the H19/IGF2:IG DMR (IC1) is associated with childhood cancer in 28% of cases (nephroblastoma 24%) and a upd(11)pat has a cumulative childhood tumor risk of approximately 16% (nephroblastoma > hepatoblastoma > neuroblastoma), whereas with a KCNQ1OT1:TSS DMR hypomethylation (IC2 LOM) up to 2.5% of patients develop a tumor (0.7% hepatoblastoma). CDKN1C mutations are associated with tumor development in approximately 7% (neuroblastoma > nephroblastoma) [1,32]. Patients with a mosaic paternal uniparental diploidy have a high tumor risk that extends into adulthood. They seem to develop similar types of tumors as patients with upd(11)pat, but with an increased incidence of hepatic and/or adrenal tumors [33]. In the subset of BWSp patients with IC2 LOM and additional epimutations at imprinted DMRs outside of 11p15.5 (i.e., MLID), to date, no specific tumor-risk estimates have been defined [34,35]. The number of detected CNVs causing BWSp to date is too small to enable a reliable conclusion regarding the affected genes/regions and an individual tumor risk.

6. General Aspects of the Molecular Basics of Tumors in BWS

BWSp-associated cancers are childhood tumors and are thought to arise during early development. These tumor types are caused by rare mutations that arrest the maturation of cell types (in cases of nephroblastomas in approx. 40 genes) in specific cell populations during restricted developmental windows. In contrast to these tumors, adult cancers arise primarily as a consequence of the accumulation of mutations by transforming mature cells into a cancer cell [36].
Nephroblastomas form the major part of BWSp-associated tumors and arise in the kidney directly from the nephrogenic blastema or from embryonic cells that abnormally persist beyond 36 weeks of gestation (nephrogenic rests) with a preferentially perilobar rather than intralobar histology. During normal development of the kidney, renal vesicles are formed after a mesenchymal to epithelial transformation of the metanephric mesenchyme. These vesicles then expand and differentiate in most of the cell types of the final kidney [37]. Nephroblastomas arise when this process is disrupted, which can occur at different developmental levels, partly reflecting the underlying genetic defects. Depending on the time point of disruption, the resulting tumors contain variable portions of blastemal, epithelial and stromal cells. Nephrogenic rests may terminate their differentiation, regress (e.g., become sclerotic), or form hyperplastic, oncogenic cells.
Nephrogenic rests seem to carry fewer mutations than their adjacent nephroblastoma [38], supporting the idea that they are only predisposed cells that need the acquisition of further molecular alterations to result in a tumor. BWSp patients with nephroblastoma that show loss of imprinting (LOI) at 11p15, affecting IGF2 and H19 either by GOM at the IC1 or upd(11)pat, have a high frequency (17.3%) of bilateral tumors [39], suggesting that the overexpression of IGF2 is causative for the nephrogenic rests. Consequently, the BWSp tumors have additional mutations, e.g., in the transcription factor WT1 (OMIM 194070), in the Wnt pathway regulators beta-catenin (CTNNB1, OMIM 116806) and AMER1 (WTX, OMIM 300647) or in the apoptosis master regulator TP53 (OMIM 191170). The mutational spectrum also includes genes involved in miRNA biogenesis (DROSHA OMIM 608828, DICER1 OMIM 606241, DIS3L2 OMIM 614184, SIX1/2 OMIM 601205/OMIM 604994 or MYCN OMIM 164840) or in chromatin silencing (TRIM28, OMIM 601742). The specific combination of adverse effects of LOI and gene mutation is partly reflected in the histological subtype of the resulting nephroblastoma (Figure 1). TRIM28 mutations are often observed in epithelial predominant tumors [40], whereas TP53 pathogenic variants are strongly associated with anaplastic nephroblastoma and CTNNB1/WT1 pathogenic variants with the stromal phenotype. A mixed, blastemal tumor is more likely to have a pathogenic variant in a gene of the miRNA biogenesis (reviewed in [41]).
The second most common tumor entity associated with BWSp is hepatoblastoma, which is mainly observed in upd(11)pat cases. In addition to the suggestive IGF2 overexpression, which might also lead to cessation of cellular maturation in the developing liver, additional genetic alterations seem to drive tumor formation. In patients with non-BWSp-associated hepatoblastoma, SNPs in the H19 gene have been associated with decreasing or increasing hepatoblastoma risk (reviewed in [42]). The loss of H19 expression in the mosaic upd(11)pat situation and/or an unfavorable SNP combination might then promote tumor development in IGF2 overexpressing persisting embryonic liver cells.
Neuroblastomas are the third major BWSp-associated tumor type, occurring in BWSp with IC1 GOM and upd(11)pat, but also in the subgroup with CDKN1C loss-of-function mutations. Neuroblastomas are neuroendocrine tumors that originate from the developing sympathetic nervous system, resulting in tumor development localized most frequently in the adrenal glands and sympathetic ganglia. The most common causative genomic alteration observed here is a MYCN gene amplification, which is present in approximately 18% of all cases, that can transcriptionally upregulate the histone-lysine N-methyltransferase enzyme Enhancer of zeste homolog 2 (EZH2, OMIM 601573), promoting an undifferentiated neuroblastoma tumor phenotype associated with poor clinical outcomes ([43], reviewed in [44]). When MYCN was knocked-down by RNAi in selected neuroblastoma cell lines, cyclin A1 (CCNA1, OMIM 604036) and cyclin G2 (CCNG2, OMIM 603203) were upregulated alongside the cyclin-dependent kinase inhibitor CDKN1C [45], suggesting a functional connection between MYCN amplification and cell cycle control. High MYCN expression results in low CDKN1C expression. BWSp neuroblastomas either have an overexpression of IGF2 (IC1 GOM or upd(11)pat) and/or CDKN1C reduction (upd(11)pat or CDKN1C loss-of-function mutations), which might be the relevant “first hit” for parts of the sympathetic nervous system to pave the road for neuroblastoma development due to a second alteration such as MYCN amplification.
The epigenetic alterations in 11p15.5 (LOI, LOH) associated with BWSp can also be found in a number of tumors in patients without BWS. In non-syndromic nephroblastoma, constitutional 11p15.5 CNV resulting in H19/IGF2:IG DMR hypermethylation could be detected [46]. In these tumors, the same abnormality also identified in lymphocytes was present and the level of H19/IGF2:IG DMR methylation was greater in the tumor, suggesting a causative role of the GOM in driving oncogenesis. This consideration is also supported by a study that analyzed whether a Wilms tumor may evolve from precancerous clonal expansions in the kidney (47). They found premalignant somatic mutations (clonal expansions), shared between tumor and normal tissue but absent from blood, in morphologically normal kidney tissues that preceded tumors. Of these clonal expansions, 58% were GOM of H19/IGF2:IG DMR. The group then compared somatic changes of nephroblastoma with and without clonal nephrogenesis. In tumors with clonal nephrogenesis, LOH of 11p15 was mostly absent, indicating that there may be two distinct pathways for nephroblastoma generation. Both pathways utilize dysregulation of 11p15 genes as a driver of oncogenesis, either resulting in a tumor arising directly in isolation through LOH of 11p15, or indirectly via clonal nephrogenesis with perturbation of 11p15 by GOM of H19/IGF2:IG DMR [47].
A LOI at 11p15.5 (IGF2:TSS LOM) was detected in breast (33%) and colorectal (80%) tumor tissues [48]. Since these tumors are adult tumor types, it can be speculated that the LOI of 11p15.5 in these cases represents a secondary somatic alteration, occurring in cells that already were dedifferentiated in the tumor progression due to an inherited or an acquired tumor-type-specific genetic mutation. Pyrosequencing analysis of DMRs in corresponding prostate and prostate cancer tissue samples revealed frequent hypo- and hypermethylation at the H19/IGF2:IG DMR in both benign and cancerous tissues [49]. Consequent expression analyses in the prostate cancer tissues showed a significantly diminished expression of the imprinted genes PLAGL1/ZAC1 (OMIM 603044), MEG3 (OMIM 605636), NDN (OMIM 602117), CDKN1C, IGF2, and H19, whereas KCNQ1OT1 was significantly overexpressed [49]. The expression level of many of these genes was strongly correlated, suggesting the existence of an imprinted gene network (IGN) previously reported in mice [50]. The deregulation of the IGN also correlated with EZH2 and HOXC6 (OMIM 142972) overexpression, similar to the findings in neuroblastomas described above. It is tempting to speculate that certain disturbances due to causal molecular findings in BWSp subgroups maintain embryonic states of cells and stall further cellular differentiations due to altered transcriptional dosage of co-expressed genes in the IGN. The lncRNA H19 has been shown to influence the transcription of at least five other genes of the IGN (including Igf2 and Peg1 OMIM 601029) by recruiting the methyl-CpG-binding domain protein 1 (MBD1, OMIM 156535) that transcriptionally downregulates target genes by bringing repressive histone marks to the differentially methylated regions of these targets [51]. This could also explain why different BWSp alterations result in similar tumor predispositions. The presumable main effectors would then be loss-of-function/expressional reduction of CDKN1C, KCNQ1OT1 overexpression, IGF2 overexpression and H19 reduction. In mammalians CDKN1C has a conserved, likely antagonistic function to IGF2 in the placenta [52]. This further supports the idea that transcriptional alterations in either IC could have comparable effects on developmental pathways. In adult tumor types, an IGN disturbance affecting these genes in a suitable way could be either a first or a second hit for tumor formation.

7. Relevance for Molecular Diagnostic Testing

The molecular heterogeneity of BWSp requires a comprehensive molecular testing approach. By considering the frequencies of the molecular subtypes of 11p15.5 variants, methylation tests addressing specific CpGs in the H19/IGF2:IG DMR and the KCNQ1OT1:TSS DMR have been recommended as first step analyses [1]. These tests allow the detection of imprinting defects, CNVs and upd(11)pat in the same analysis, and depending on the method, further assays to discriminate between the different molecular subtypes might be applied. In case of negative test results, CDKN1C sequencing can be conducted.
However, the detection of imprinting defects and upd(11)pat can be hampered by mosaicism; in particular, upd(11)pat might escape detection because of low-level mosaicism (e.g., [29]). Thus, in case of a strong clinical suspicion of BWSp but a negative testing result from peripheral blood, analysis of other tissues should be considered, preferably a biopsy from an organ which is affected by the disease (e.g., from hyperplastic organ or tumor).

8. Relevance for Clinical Management

The initial treatment, histological classifications and staging criteria of nephroblastoma differs, depending on the geographical location of the patient. Two major treatment strategies have been established, one from the International Society of Pediatric Oncology (SIOP) and the second from the Children’s Oncology Group (COG).
The SIOP classification of nephroblastomas consists of three major risk groups ranging from low-risk tumors (completely necrotic), intermediate-risk tumors (stromal, epithelial) and high-risk tumors (blastemal or diffuse anaplastic). According to the SIOP protocol, infants younger than 6 months of age that suffer from a unilateral nephroblastoma obtain an initial—preferentially partial—nephrectomy. All patients with a suspected nephroblastoma older than 6 months of age receive either 4 weeks of preoperative chemotherapy with actinomycin D and vincristine (if the tumor is localized) or 6 weeks of actinomycin D, vincristine and doxorubicin (if the tumor is already metastatic). A percutaneous core needle biopsy is suggested in children 7 years of age and older or children with an uncertain clinical picture to avoid a misdiagnosis of nephroblastoma. After the neoadjuvant chemotherapy, a radical nephrectomy is performed in most BWSp patients with unilateral WT if the preoperative chemotherapy does not support a nephron-sparing surgery (NSS), which is also applied in case of bilateral nephroblastomatosis or WTs [41].
The COG classification of WTs distinguishes anaplastic (focal and diffuse) and non-anaplastic (favorable histology) WTs. The COG strategy favors a primary (partial) nephrectomy for unilateral renal masses in patients without WT predisposition, but in BWSp a neoadjuvant chemotherapy (without biopsy) with the aim of preserving renal units and subsequent surgery at 6–12 weeks after initiation of chemotherapy is suggested [53].
After surgery, according to SIOP and COG, a risk-based adjuvant chemotherapy and radiotherapy is administered with the help of multiple prognostic factors [54].
Hepatoblastoma (HB) arise from a hepatocyte precursor cell and consists of either epithelial (epithelial HB) or epithelial and mesenchymal elements (mixed HB). In addition, 80–90% of HB are observed in children between 6 months and 5 years with a median age of 18 months [55]. Treatment of syndrome-associated HB is not different to that of sporadic HB. Epithelial HB presents with histologically well-differentiated fetal cells and low mitotic activity. It defines the group of very-low-risk patients that are treated with upfront surgery only, without the need for further therapy if the tumor is completely resected [56]. If the tumor is unresectable, or if a mixed HB is diagnosed, a neoadjuvant chemotherapy with cisplatin components precedes surgery, followed by an adjuvant chemotherapy with mixed cytostatic drugs to avoid a resistance against cisplatin. The COG, the International Childhood Liver Tumors Strategy Group (SIOPEL), the Society for Pediatric Oncology and Hematology (GPOH), and the Japanese Pediatric Liver Tumors Group (JPLT) use different platinum-based chemotherapy regimens with similar success [57]. In case of unresectable HB or if the HB is insensitive to the chemotherapeutics, a liver transplantation can be considered. Radiation therapy has hardly any effect on HB and is therefore not considered, but, for example, a transarterial radioembolization with yttrium-90 as adjunctive therapy may be used to bridge to surgical resection or liver transplantation [57].
Neuroblastoma most likely originates from sympathoadrenal progenitor cells within the neural crest that normally differentiate to sympathetic ganglion cells and adrenal catecholamine-secreting cells [58]. MYCN amplification can affect all tumor cells (homogenous MYCN amplification, homMNA), which consequently is associated with a poor prognosis. Alternatively, it can affect only part of the tumor cells (hetMNA). Interestingly, upd(11)pat is almost exclusively detected in tumors of younger patients and only very rarely observed in homMNA tumors [59]. This makes an argument for the concept that BWSp causative alterations stall the differentiation of sympathoadrenal progenitor cells and eventually result in hetMNA neuroblastomas due to clonal second hits.
Currently, neuroblastoma occurring in BWSp patients are treated like isolated neuroblastoma. Treatment depends on a stratification system that aims to group the patients in different risk groups according to tumor-free survival after treatment. To establish a consensus approach for pretreatment risk stratification, an International Neuroblastoma Risk Group (INRG) task force representing the major pediatric cooperative groups around the world was formed in 2005 [60]. The risk classification (very low risk, low risk, intermediate risk, or high risk) is based primarily on age of the patient (younger or older than 18 months), International Neuroblastoma Staging System (INSS) stage [61], MYCN status, ploidy of tumor cells, and Shimada histology. Low-risk neuroblastomas have a tendency to spontaneously regress, eventually supported by application of 13-cis-retinoic acid, which induces differentiation and which is currently also used as maintenance therapy to avoid residual disease in patients with high-risk disease. Patients with high-risk neuroblastoma (nearly half of cases of neuroblastoma) are typically treated with four therapeutic phases: first, a neoadjuvant induction therapy, second, surgical removal of the tumor followed by radiation therapy, third, a consolidation phase with single or tandem high-dose chemotherapy (with or without metabolic irradiation by 131I-MIBG or targeted treatments) and autologous transplant and, finally, fourth is immunotherapy to eliminate residual disease [62,63].

9. Relevance for Follow-Up

To date, no large series of adults with BWSp have been examined for health issues in later life. The consensus group agreed that BWSp molecular subgroups and patients with classical BWS and no detectable molecular anomaly should be offered an abdominal ultrasound (USS) every 3 months until the age of 7 years, and only BWSp patients with IC2 LOM should not be offered routine USS [1]. This covers the relevant phase of life regarding the BWSp-associated embryonal neoplasias. With the exception of BWSp patients with mosaic paternal uniparental diploidy, no obvious association of BWSp and predisposition to adult-onset carcinomas/rare endocrine tumors has been reported; thus, there is no evidence of a specific tumor risk that might justify surveillance over the age of 7 years. However, similar to children with sporadic tumors, children with BWSp who are treated for embryonal tumors might develop late-onset complications from therapy.

10. Conclusions

The clinical heterogeneity of BWSp and the wide underlying spectrum of molecular alterations present a challenge for clinical and molecular diagnosis. Nevertheless, the precise determination of the molecular subgroup is required as the basis for personalized monitoring and treatment, especially in regard to individual tumor risk. Tumors occurring in BWSp patients do not exactly resemble the corresponding tumor types in non-syndromic patients. They have different combinations of causative (epi)genetic alterations, sometimes reflected in the histology of the resulting neoplasia. Thus, an improved molecular diagnosis of BWSp might lead to further optimized (tumor-)treatment protocols based on the understanding of personalized tumor-driving pathways.

Author Contributions

D.P. and T.E. prepared the draft, C.P.K. contributed to the clinical part and E.R.M. to the molecular part. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Brioude, F.; Kalish, J.M.; Mussa, A.; Foster, A.C.; Bliek, J.; Ferrero, G.B.; Boonen, S.E.; Cole, T.; Baker, R.; Bertoletti, M.; et al. Expert consensus document: Clinical and molecular diagnosis, screening and management of Beckwith-Wiedemann syndrome: An international consensus statement. Nat. Rev. Endocrinol. 2018, 14, 229–249. [Google Scholar] [CrossRef] [PubMed]
  2. Coktu, S.; Spix, C.; Kaiser, M.; Beygo, J.; Kleinle, S.; Bachmann, N.; Kohlschmidt, N.; Prawitt, D.; Beckmann, A.; Klaes, R.; et al. Cancer incidence and spectrum among children with genetically confirmed Beckwith-Wiedemann spectrum in Germany: A retrospective cohort study. Br. J. Cancer 2020, 123, 619–623. [Google Scholar] [CrossRef] [PubMed]
  3. Turleau, C.; de Grouchy, J.; Chavin-Colin, F.; Martelli, H.; Voyer, M.; Charlas, R. Trisomy 11p15 and Beckwith-Wiedemann syndrome. A report of two cases. Hum. Genet. 1984, 67, 219–221. [Google Scholar] [CrossRef] [PubMed]
  4. Drut, R.M.; Drut, R. Nonimmune fetal hydrops and placentomegaly: Diagnosis of familial Wiedemann-Beckwith syndrome with trisomy 11p15 using FISH. Am. J. Med. Genet. 1996, 62, 145–149. [Google Scholar] [CrossRef]
  5. Waziri, M.; Patil, S.R.; Hanson, J.W.; Bartley, J.A. Abnormality of chromosome 11 in patients with features of Beckwith-Wiedemann syndrome. J. Pediatr. 1983, 102, 873–876. [Google Scholar] [CrossRef]
  6. Okano, Y.; Osasa, Y.; Yamamoto, H.; Hase, Y.; Tsuruhara, T.; Fujita, H. An infant with Beckwith-Wiedemann syndrome and chromosomal duplication 11p13—Pter: Correlation of symptoms between 11p trisomy and Beckwith-Wiedemann syndrome. Jinrui Idengaku Zasshi 1986, 31, 365–372. [Google Scholar] [CrossRef] [Green Version]
  7. Pueschel, S.M.; Padre-Mendoza, T. Chromosome 11 and Beckwith-Wiedemann syndrome. J. Pediatr. 1984, 104, 484–485. [Google Scholar] [CrossRef]
  8. Tommerup, N.; Brandt, C.A.; Pedersen, S.; Bolund, L.; Kamper, J. Sex dependent transmission of Beckwith-Wiedemann syndrome associated with a reciprocal translocation t(9; 11)(p11.2; p15.5). J. Med. Genet. 1993, 30, 958–961. [Google Scholar] [CrossRef] [Green Version]
  9. Hoovers, J.M.; Kalikin, L.M.; Johnson, L.A.; Alders, M.; Redeker, B.; Law, D.J.; Bliek, J.; Steenman, M.; Benedict, M.; Wiegant, J.; et al. Multiple genetic loci within 11p15 defined by Beckwith-Wiedemann syndrome rearrangement breakpoints and subchromosomal transferable fragments. Proc. Natl. Acad. Sci. USA 1995, 92, 12456–12460. [Google Scholar] [CrossRef] [Green Version]
  10. Brown, K.W.; Villar, A.J.; Bickmore, W.; Clayton-Smith, J.; Catchpoole, D.; Maher, E.R.; Reik, W. Imprinting mutation in the Beckwith-Wiedemann syndrome leads to biallelic IGF2 expression through an H19-independent pathway. Hum. Mol. Genet. 1996, 5, 2027–2032. [Google Scholar] [CrossRef] [Green Version]
  11. Henry, I.; Bonaiti-Pellie, C.; Chehensse, V.; Beldjord, C.; Schwartz, C.; Utermann, G.; Junien, C. Uniparental paternal disomy in a genetic cancer-predisposing syndrome. Nature 1991, 351, 665–667. [Google Scholar] [CrossRef] [PubMed]
  12. Kalish, J.M.; Deardorff, M.A. Tumor screening in Beckwith-Wiedemann syndrome-To screen or not to screen? Am. J. Med. Genet. A 2016, 170, 2261–2264. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Smilinich, N.J.; Day, C.D.; Fitzpatrick, G.V.; Caldwell, G.M.; Lossie, A.C.; Cooper, P.R.; Smallwood, A.C.; Joyce, J.A.; Schofield, P.N.; Reik, W.; et al. A maternally methylated CpG island in KvLQT1 is associated with an antisense paternal transcript and loss of imprinting in Beckwith-Wiedemann syndrome. Proc. Natl. Acad. Sci. USA 1999, 96, 8064–8069. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Lee, M.P.; DeBaun, M.R.; Mitsuya, K.; Galonek, H.L.; Brandenburg, S.; Oshimura, M.; Feinberg, A.P. Loss of imprinting of a paternally expressed transcript, with antisense orientation to KVLQT1, occurs frequently in Beckwith-Wiedemann syndrome and is independent of insulin-like growth factor II imprinting. Proc. Natl. Acad. Sci. USA 1999, 96, 5203–5208. [Google Scholar] [CrossRef] [Green Version]
  15. Diaz-Meyer, N.; Day, C.D.; Khatod, K.; Maher, E.R.; Cooper, W.; Reik, W.; Junien, C.; Graham, G.; Algar, E.; Der Kaloustian, V.M.; et al. Silencing of CDKN1C (p57KIP2) is associated with hypomethylation at KvDMR1 in Beckwith-Wiedemann syndrome. J. Med. Genet. 2003, 40, 797–801. [Google Scholar] [CrossRef] [Green Version]
  16. Sanchez-Delgado, M.; Riccio, A.; Eggermann, T.; Maher, E.R.; Lapunzina, P.; Mackay, D.; Monk, D. Causes and Consequences of Multi-Locus Imprinting Disturbances in Humans. Trends Genet. 2016, 32, 444–455. [Google Scholar] [CrossRef] [Green Version]
  17. Reik, W.; Brown, K.W.; Schneid, H.; Le Bouc, Y.; Bickmore, W.; Maher, E.R. Imprinting mutations in the Beckwith-Wiedemann syndrome suggested by altered imprinting pattern in the IGF2-H19 domain. Hum. Mol. Genet. 1995, 4, 2379–2385. [Google Scholar] [CrossRef]
  18. Reik, W.; Brown, K.W.; Slatter, R.E.; Sartori, P.; Elliott, M.; Maher, E.R. Allelic methylation of H19 and IGF2 in the Beckwith-Wiedemann syndrome. Hum. Mol. Genet. 1994, 3, 1297–1301. [Google Scholar] [CrossRef]
  19. Kraft, F.; Wesseler, K.; Begemann, M.; Kurth, I.; Elbracht, M.; Eggermann, T. Novel familial distal imprinting centre 1 (11p15.5) deletion provides further insights in imprinting regulation. Clin. Epigenet. 2019, 11, 30. [Google Scholar] [CrossRef]
  20. Eggermann, T.; Kraft, F.; Kluth, K.; Klopocki, E.; Hüning, I.; Hempel, M.; Kunstmann, E. Heterogeneous phenotypes in families with duplications of the paternal allele within the imprinting center 1 (H19/IGF2:TSS-DMR) in 11p15.5. Clin. Genet. 2020, in press. [CrossRef]
  21. Monk, D.; Mackay, D.J.G.; Eggermann, T.; Maher, E.R.; Riccio, A. Genomic imprinting disorders: Lessons on how genome, epigenome and environment interact. Nat. Rev. Genet. 2019, 20, 235–248. [Google Scholar] [CrossRef] [PubMed]
  22. Abi Habib, W.; Azzi, S.; Brioude, F.; Steunou, V.; Thibaud, N.; Das Neves, C.; Le Jule, M.; Chantot-Bastaraud, S.; Keren, B.; Lyonnet, S.; et al. Extensive investigation of the IGF2/H19 imprinting control region reveals novel OCT4/SOX2 binding site defects associated with specific methylation patterns in Beckwith-Wiedemann syndrome. Hum. Mol. Genet. 2014, 23, 5763–5773. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Valente, F.M.; Sparago, A.; Freschi, A.; Hill-Harfe, K.; Maas, S.M.; Frints, S.G.M.; Alders, M.; Pignata, L.; Franzese, M.; Angelini, C.; et al. Transcription alterations of KCNQ1 associated with imprinted methylation defects in the Beckwith-Wiedemann locus. Genet. Med. 2019, 21, 1808–1820. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Monteagudo-Sanchez, A.; Hernandez Mora, J.R.; Simon, C.; Burton, A.; Tenorio, J.; Lapunzina, P.; Clark, S.; Esteller, M.; Kelsey, G.; Lopez-Siguero, J.P.; et al. The role of ZFP57 and additional KRAB-zinc finger proteins in the maintenance of human imprinted methylation and multi-locus imprinting disturbances. Nucleic Acids. Res. 2020, 48, 11394–11407. [Google Scholar] [CrossRef]
  25. Elbracht, M.; Mackay, D.; Begemann, M.; Kagan, K.O.; Eggermann, T. Disturbed genomic imprinting and its relevance for human reproduction: Causes and clinical consequences. Hum. Reprod. Update 2020, 26, 197–213. [Google Scholar] [CrossRef]
  26. Hennekam, R.C.; Biesecker, L.G.; Allanson, J.E.; Hall, J.G.; Opitz, J.M.; Temple, I.K.; Carey, J.C.; Elements of Morphology, C. Elements of morphology: General terms for congenital anomalies. Am. J. Med. Genet. A 2013, 161A, 2726–2733. [Google Scholar] [CrossRef]
  27. Hoyme, H.E.; Seaver, L.H.; Jones, K.L.; Procopio, F.; Crooks, W.; Feingold, M. Isolated hemihyperplasia (hemihypertrophy): Report of a prospective multicenter study of the incidence of neoplasia and review. Am. J. Med. Genet. 1998, 79, 274–278. [Google Scholar] [CrossRef]
  28. Clericuzio, C.L.; Chen, E.; McNeil, D.E.; O’Connor, T.; Zackai, E.H.; Medne, L.; Tomlinson, G.; DeBaun, M. Serum alpha-fetoprotein screening for hepatoblastoma in children with Beckwith-Wiedemann syndrome or isolated hemihyperplasia. J. Pediatr. 2003, 143, 270–272. [Google Scholar] [CrossRef]
  29. Brioude, F.; Hennekam, R.; Bliek, J.; Coze, C.; Eggermann, T.; Ferrero, G.B.; Kratz, C.; Bouc, Y.L.; Maas, S.M.; Mackay, D.J.G.; et al. Revisiting Wilms tumour surveillance in Beckwith-Wiedemann syndrome with IC2 methylation loss, reply. Eur. J. Hum. Genet. 2018, 26, 471–472. [Google Scholar] [CrossRef]
  30. Maas, S.M.; Vansenne, F.; Kadouch, D.J.; Ibrahim, A.; Bliek, J.; Hopman, S.; Mannens, M.M.; Merks, J.H.; Maher, E.R.; Hennekam, R.C. Phenotype, cancer risk, and surveillance in Beckwith-Wiedemann syndrome depending on molecular genetic subgroups. Am. J. Med. Genet. A 2016, 170, 2248–2260. [Google Scholar] [CrossRef] [Green Version]
  31. Duffy, K.A.; Cielo, C.M.; Cohen, J.L.; Gonzalez-Gandolfi, C.X.; Griff, J.R.; Hathaway, E.R.; Kupa, J.; Taylor, J.A.; Wang, K.H.; Ganguly, A.; et al. Characterization of the Beckwith-Wiedemann spectrum: Diagnosis and management. Am. J. Med. Genet. C Semin. Med. Genet. 2019, 181, 693–708. [Google Scholar] [CrossRef] [PubMed]
  32. Griff, J.R.; Duffy, K.A.; Kalish, J.M. Characterization and Childhood Tumor Risk Assessment of Genetic and Epigenetic Syndromes Associated With Lateralized Overgrowth. Front. Pediatr. 2020, 8, 613260. [Google Scholar] [CrossRef] [PubMed]
  33. Wang, R.; Xiao, Y.; Li, D.; Hu, H.; Li, X.; Ge, T.; Yu, R.; Wang, Y.; Zhang, T. Clinical and molecular features of children with Beckwith-Wiedemann syndrome in China: A single-center retrospective cohort study. Ital. J. Pediatr. 2020, 46, 55. [Google Scholar] [CrossRef] [PubMed]
  34. Azzi, S.; Rossignol, S.; Steunou, V.; Sas, T.; Thibaud, N.; Danton, F.; Le Jule, M.; Heinrichs, C.; Cabrol, S.; Gicquel, C.; et al. Multilocus methylation analysis in a large cohort of 11p15-related foetal growth disorders (Russell Silver and Beckwith Wiedemann syndromes) reveals simultaneous loss of methylation at paternal and maternal imprinted loci. Hum. Mol. Genet. 2009, 18, 4724–4733. [Google Scholar] [CrossRef] [Green Version]
  35. Fontana, L.; Bedeschi, M.F.; Cagnoli, G.A.; Costanza, J.; Persico, N.; Gangi, S.; Porro, M.; Ajmone, P.F.; Colapietro, P.; Santaniello, C.; et al. (Epi)genetic profiling of extraembryonic and postnatal tissues from female monozygotic twins discordant for Beckwith-Wiedemann syndrome. Mol. Genet. Genom. Med. 2020, 8, e1386. [Google Scholar] [CrossRef]
  36. Behjati, S.; Gilbertson, R.J.; Pfister, S.M. Maturation Block in Childhood Cancer. Cancer Discov. 2021, 11, 542–544. [Google Scholar] [CrossRef]
  37. McMahon, A.P. Development of the Mammalian Kidney. Curr. Top. Dev. Biol. 2016, 117, 31–64. [Google Scholar] [CrossRef] [Green Version]
  38. Fukuzawa, R.; Heathcott, R.W.; More, H.E.; Reeve, A.E. Sequential WT1 and CTNNB1 mutations and alterations of beta-catenin localisation in intralobar nephrogenic rests and associated Wilms tumours: Two case studies. J. Clin. Pathol. 2007, 60, 1013–1016. [Google Scholar] [CrossRef] [Green Version]
  39. Porteus, M.H.; Narkool, P.; Neuberg, D.; Guthrie, K.; Breslow, N.; Green, D.M.; Diller, L. Characteristics and outcome of children with Beckwith-Wiedemann syndrome and Wilms’ tumor: A report from the National Wilms Tumor Study Group. J. Clin. Oncol. 2000, 18, 2026–2031. [Google Scholar] [CrossRef]
  40. Hol, J.A.; Kuiper, R.P.; van Dijk, F.; Waanders, E.; van Peer, S.E.; Koudijs, M.J.; Bladergroen, R.; van Reijmersdal, S.V.; Morgado, L.M.; Bliek, J.; et al. Prevalence of (Epi)genetic Predisposing Factors in a 5-Year Unselected National Wilms Tumor Cohort: A Comprehensive Clinical and Genomic Characterization. J. Clin. Oncol. 2022, 105, JCO2102510. [Google Scholar] [CrossRef]
  41. Spreafico, F.; Fernandez, C.V.; Brok, J.; Nakata, K.; Vujanic, G.; Geller, J.I.; Gessler, M.; Maschietto, M.; Behjati, S.; Polanco, A.; et al. Wilms tumour. Nat. Rev. Dis. Primers 2021, 7, 75. [Google Scholar] [CrossRef] [PubMed]
  42. Chen, H.; Guan, Q.; Guo, H.; Miao, L.; Zhuo, Z. The Genetic Changes of Hepatoblastoma. Front. Oncol. 2021, 11, 690641. [Google Scholar] [CrossRef] [PubMed]
  43. Corvetta, D.; Chayka, O.; Gherardi, S.; D’Acunto, C.W.; Cantilena, S.; Valli, E.; Piotrowska, I.; Perini, G.; Sala, A. Physical interaction between MYCN oncogene and polycomb repressive complex 2 (PRC2) in neuroblastoma: Functional and therapeutic implications. J. Biol. Chem. 2013, 288, 8332–8341. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Ciaccio, R.; De Rosa, P.; Aloisi, S.; Viggiano, M.; Cimadom, L.; Zadran, S.K.; Perini, G.; Milazzo, G. Targeting Oncogenic Transcriptional Networks in Neuroblastoma: From N-Myc to Epigenetic Drugs. Int. J. Mol. Sci. 2021, 22, 2883. [Google Scholar] [CrossRef] [PubMed]
  45. Bell, E.; Lunec, J.; Tweddle, D.A. Cell cycle regulation targets of MYCN identified by gene expression microarrays. Cell Cycle 2007, 6, 1249–1256. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Scott, R.H.; Douglas, J.; Baskcomb, L.; Huxter, N.; Barker, K.; Hanks, S.; Craft, A.; Gerrard, M.; Kohler, J.A.; Levitt, G.A.; et al. Constitutional 11p15 abnormalities, including heritable imprinting center mutations, cause nonsyndromic Wilms tumor. Nat. Genet. 2008, 40, 1329–1334. [Google Scholar] [CrossRef]
  47. Coorens, T.H.H.; Treger, T.D.; Al-Saadi, R.; Moore, L.; Tran, M.G.B.; Mitchell, T.J.; Tugnait, S.; Thevanesan, C.; Young, M.D.; Oliver, T.R.W.; et al. Embryonal precursors of Wilms tumor. Science 2019, 366, 1247–1251. [Google Scholar] [CrossRef]
  48. Ito, Y.; Koessler, T.; Ibrahim, A.E.; Rai, S.; Vowler, S.L.; Abu-Amero, S.; Silva, A.L.; Maia, A.T.; Huddleston, J.E.; Uribe-Lewis, S.; et al. Somatically acquired hypomethylation of IGF2 in breast and colorectal cancer. Hum. Mol. Genet. 2008, 17, 2633–2643. [Google Scholar] [CrossRef]
  49. Ribarska, T.; Goering, W.; Droop, J.; Bastian, K.M.; Ingenwerth, M.; Schulz, W.A. Deregulation of an imprinted gene network in prostate cancer. Epigenetics 2014, 9, 704–717. [Google Scholar] [CrossRef] [Green Version]
  50. Varrault, A.; Gueydan, C.; Delalbre, A.; Bellmann, A.; Houssami, S.; Aknin, C.; Severac, D.; Chotard, L.; Kahli, M.; Le Digarcher, A.; et al. Zac1 regulates an imprinted gene network critically involved in the control of embryonic growth. Dev. Cell 2006, 11, 711–722. [Google Scholar] [CrossRef]
  51. Monnier, P.; Martinet, C.; Pontis, J.; Stancheva, I.; Ait-Si-Ali, S.; Dandolo, L. H19 lncRNA controls gene expression of the Imprinted Gene Network by recruiting MBD1. Proc. Natl. Acad. Sci. USA 2013, 110, 20693–20698. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Ager, E.I.; Pask, A.J.; Gehring, H.M.; Shaw, G.; Renfree, M.B. Evolution of the CDKN1C-KCNQ1 imprinted domain. BMC Evol. Biol. 2008, 8, 163. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Lopyan, N.M.; Ehrlich, P.F. Surgical Management of Wilms Tumor (Nephroblastoma) and Renal Cell Carcinoma in Children and Young Adults. Surg. Oncol. Clin. N. Am. 2021, 30, 305–323. [Google Scholar] [CrossRef] [PubMed]
  54. Dome, J.S.; Graf, N.; Geller, J.I.; Fernandez, C.V.; Mullen, E.A.; Spreafico, F.; Van den Heuvel-Eibrink, M.; Pritchard-Jones, K. Advances in Wilms Tumor Treatment and Biology: Progress Through International Collaboration. J. Clin. Oncol. 2015, 33, 2999–3007. [Google Scholar] [CrossRef] [PubMed]
  55. Tsvetkova, V.; Magro, G.; Broggi, G.; Luchini, C.; Cappello, F.; Caporalini, C.; Buccoliero, A.M.; Santoro, L. New insights in gastrointestinal “pediatric” neoplasms in adult patients: Pancreatoblastoma, hepatoblastoma and embryonal sarcoma of the liver. A practical approach by GIPPI-GIPAD Groups. Pathologica 2022, 114, 64–78. [Google Scholar] [CrossRef]
  56. Meyers, R.L.; Maibach, R.; Hiyama, E.; Haberle, B.; Krailo, M.; Rangaswami, A.; Aronson, D.C.; Malogolowkin, M.H.; Perilongo, G.; von Schweinitz, D.; et al. Risk-stratified staging in paediatric hepatoblastoma: A unified analysis from the Children’s Hepatic tumors International Collaboration. Lancet Oncol. 2017, 18, 122–131. [Google Scholar] [CrossRef] [Green Version]
  57. Yang, T.; Whitlock, R.S.; Vasudevan, S.A. Surgical Management of Hepatoblastoma and Recent Advances. Cancers 2019, 11, 1944. [Google Scholar] [CrossRef] [Green Version]
  58. Tomolonis, J.A.; Agarwal, S.; Shohet, J.M. Neuroblastoma pathogenesis: Deregulation of embryonic neural crest development. Cell Tissue Res. 2018, 372, 245–262. [Google Scholar] [CrossRef] [Green Version]
  59. Berbegall, A.P.; Bogen, D.; Potschger, U.; Beiske, K.; Bown, N.; Combaret, V.; Defferrari, R.; Jeison, M.; Mazzocco, K.; Varesio, L.; et al. Heterogeneous MYCN amplification in neuroblastoma: A SIOP Europe Neuroblastoma Study. Br. J. Cancer 2018, 118, 1502–1512. [Google Scholar] [CrossRef]
  60. Cohn, S.L.; Pearson, A.D.; London, W.B.; Monclair, T.; Ambros, P.F.; Brodeur, G.M.; Faldum, A.; Hero, B.; Iehara, T.; Machin, D.; et al. The International Neuroblastoma Risk Group (INRG) classification system: An INRG Task Force report. J. Clin. Oncol. 2009, 27, 289–297. [Google Scholar] [CrossRef]
  61. Brodeur, G.M.; Pritchard, J.; Berthold, F.; Carlsen, N.L.; Castel, V.; Castelberry, R.P.; De Bernardi, B.; Evans, A.E.; Favrot, M.; Hedborg, F.; et al. Revisions of the international criteria for neuroblastoma diagnosis, staging, and response to treatment. J. Clin. Oncol. 1993, 11, 1466–1477. [Google Scholar] [CrossRef] [PubMed]
  62. Liang, W.H.; Federico, S.M.; London, W.B.; Naranjo, A.; Irwin, M.S.; Volchenboum, S.L.; Cohn, S.L. Tailoring Therapy for Children With Neuroblastoma on the Basis of Risk Group Classification: Past, Present, and Future. JCO Clin. Cancer Inform. 2020, 4, 895–905. [Google Scholar] [CrossRef] [PubMed]
  63. Lundberg, K.I.; Treis, D.; Johnsen, J.I. Neuroblastoma Heterogeneity, Plasticity, and Emerging Therapies. Curr. Oncol. Rep. 2022. [Google Scholar] [CrossRef] [PubMed]
Cancers 14 03083 g001 550
Figure 1. Schematic representation of genetic and epigenetic defects causing BWSp and tumor types associated with the specific defects. Upper Panel: Schematic delineation of the chromosomal region 11p15.5 with the two imprinting clusters IC1 and IC2, the allele-specific methylation of the respective DMRs and the consequent expression of imprinted genes on the maternal (red) and paternal (blue) allele. Middle Panel: Defects observed in BWSp patients with resulting transcriptional consequences, leading to a maturation block in cells of susceptible organs. These cells may persist after birth and then either terminate their differentiation, regress or progress to form hyperplastic and tumorigenic cells. Lower Panel: Tumor types and histological subclasses that occur with certain risk due to typical secondary mutations in the cells that were stalled in development.
Figure 1. Schematic representation of genetic and epigenetic defects causing BWSp and tumor types associated with the specific defects. Upper Panel: Schematic delineation of the chromosomal region 11p15.5 with the two imprinting clusters IC1 and IC2, the allele-specific methylation of the respective DMRs and the consequent expression of imprinted genes on the maternal (red) and paternal (blue) allele. Middle Panel: Defects observed in BWSp patients with resulting transcriptional consequences, leading to a maturation block in cells of susceptible organs. These cells may persist after birth and then either terminate their differentiation, regress or progress to form hyperplastic and tumorigenic cells. Lower Panel: Tumor types and histological subclasses that occur with certain risk due to typical secondary mutations in the cells that were stalled in development.
Cancers 14 03083 g001
Table
Table 1. Frequencies of the different molecular subtypes among molecularly confirmed patients with BWSp based on a recent survey from eleven diagnostic labs from seven countries (in preparation). Frequency of the mutation detection rates are not given as CDKN1C sequencing is not conducted routinely in all patients with the clinical diagnosis of BWS (For abbreviations: see text).
Table 1. Frequencies of the different molecular subtypes among molecularly confirmed patients with BWSp based on a recent survey from eleven diagnostic labs from seven countries (in preparation). Frequency of the mutation detection rates are not given as CDKN1C sequencing is not conducted routinely in all patients with the clinical diagnosis of BWS (For abbreviations: see text).
Molecular SubtypeTotal Number
(n = 1301)		Ratio among Solved Cases
expected molecular diagnosesIC1 GOM15311.8%
IC2 LOM83364.0%
of these MLID:
12.8%		107
CNVs 11p322.5%
upd(11)pat25419.5%
of these uniparental
diploid: 4.3%		11
unexpected molecular diagnosesIC1 LOM272.1%
PHP20.2%
Table
Table 2. Percentage of cancer risk for each molecular subgroup (according to [1]).
Table 2. Percentage of cancer risk for each molecular subgroup (according to [1]).
Molecular DefectFrequency of Molecular DefectTumor Risk (% of Patients)
IC1 GOM5%Overall risk (28.1%)
Wilms tumor (24%)
Neuroblastoma (0.7%)
Pancreatoblastoma (0.7%)
IC2 LOM50%Overall risk (2.6%)
Hepatoblastoma (0.7%)
Rhabdomyosarcoma (0.5%)
Neuroblastoma (0.5%)
Thyroid cancer (0.3%)
Wilms tumor (0.2%)
Melanoma (0.1%)
upd(11)pat20% (see also paternal uniploidy)Overall risk (16%)
Wilms tumor (7.9%)
Hepatoblastoma (3.5%)
Neuroblastoma (1.4%)
Adrenocortical carcinoma (1.1%)
Pheochromocytoma (0.8%)
Lymphoblastic leukemia (0.5%)
Pancreatoblastoma (0.3%)
Hemangiotheloma (0.3%)
Rhabdomyosarcoma (0.3%)
Loss-of-function CDKN1C variants5% (40% in familial cases)Overall risk (6.9%)
Wilms tumor (1.4%)
Neuroblastoma (4.2%)
Acute lymphatic leukemia (1.4%)
Italics to distinguish from individual tumor-types; bold for better recognition.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Eggermann, T.; Maher, E.R.; Kratz, C.P.; Prawitt, D. Molecular Basis of Beckwith–Wiedemann Syndrome Spectrum with Associated Tumors and Consequences for Clinical Practice. Cancers 2022, 14, 3083. https://doi.org/10.3390/cancers14133083

AMA Style

Eggermann T, Maher ER, Kratz CP, Prawitt D. Molecular Basis of Beckwith–Wiedemann Syndrome Spectrum with Associated Tumors and Consequences for Clinical Practice. Cancers. 2022; 14(13):3083. https://doi.org/10.3390/cancers14133083

Chicago/Turabian Style

Eggermann, Thomas, Eamonn R. Maher, Christian P. Kratz, and Dirk Prawitt. 2022. "Molecular Basis of Beckwith–Wiedemann Syndrome Spectrum with Associated Tumors and Consequences for Clinical Practice" Cancers 14, no. 13: 3083. https://doi.org/10.3390/cancers14133083

APA Style

Eggermann, T., Maher, E. R., Kratz, C. P., & Prawitt, D. (2022). Molecular Basis of Beckwith–Wiedemann Syndrome Spectrum with Associated Tumors and Consequences for Clinical Practice. Cancers, 14(13), 3083. https://doi.org/10.3390/cancers14133083

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop