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EMBO Molecular Medicine logoLink to EMBO Molecular Medicine
. 2018 Mar 5;10(4):e8641. doi: 10.15252/emmm.201708641

Trio sequencing in pediatric cancer and clinical implications

Michaela Kuhlen 1, Arndt Borkhardt 1
PMCID: PMC5887902  PMID: 29507082

Abstract

In pediatric cancer, we advocate for trio sequencing of the child and its parents. This method can have substantial implications for cancer prevention in parents and siblings and even in more distant family members. It does not only help to identify a putative classical cancer predisposition syndrome in the index patient, but also detects the combinatorial effect of two independent risk variants in the same signaling pathway. This type of inheritance pattern could contribute to explaining the early occurrence of cancer in children and young adults and thereby inform early diagnosis, screening and preventive measures.

Subject Categories: Cancer; Chromatin, Epigenetics, Genomics & Functional Genomics


There are more than 100 known cancer predisposition syndromes (CPSs), including DNA damage repair defects, genetic instability syndromes, bone marrow failure syndromes, cell cycle and differentiation defects, transcription factors and pure familial leukemia syndromes, immunodeficiencies, and congenital/developmental syndromes (Table 1; Kuhlen & Borkhardt, 2015). Most of these CPSs are inherited in an autosomal dominant or compound heterozygous pattern; only a few are autosomal recessively or X‐linked transmitted. The most significant familial CPS is Li‐Fraumeni syndrome (LFS), which predisposes carriers to a 50% lifetime risk of developing cancer before the age of 30 and 90% risk before the age of 60. Affected patients are not only at high risk of developing secondary, treatment‐related cancers after irradiation or the use of alkylating agents, but also additional cancers unrelated to treatment. Early detection of these CPS—not just in patients but also in their close relatives—can therefore help to diagnose and treat tumors in the early stages. Villani et al (2016) demonstrated improved long‐term survival of carriers of a pathogenic TP53 variant using a comprehensive surveillance protocol for early tumor detection. However, this assumes that every TP53 carrier is identified early on, and not only after cancer diagnosis.

Table 1.

List of cancer predisposition syndromes

Cancer predisposition syndrome (CPS) Associated gene(s) (CPG)
DNA repair disorders
Ataxia telangiectasia ATM
Bloom syndrome BLM
Fanconi anemia FANCA, FANCB, FANCC, FANCD1/BRCA2, FANCD2, FANCE, FANCF, FANCG, FANCI, FANCJ/BRIP1/BACH1, FANCL, FANCM, FANCN/PALB2, FANCO/RAD51C, FANCP/SLX4, FANCQ/XPF/ERCC4, FANCR/RAD51, FANCES/BRCA1, FANCT/UBE2T, FANCU/XRCC2, REV7/MAD2L2
Nijmegen breakage syndrome NBN
Rothmund–Thomson syndrome RECQL4
Xeroderma pigmentosum DDB2, ERCC1, ERCC2, ERCC3, ERCC4, ERCC5, POLH, XPA, XPC
Li‐Fraumeni syndrome TP53
Constitutional mismatch repair deficiency MLH1, MSH2, MSH6, PMS2, EPCAM
Bone marrow failure/leukemia predisposing syndromes
Severe congenital neutropenia (Kostmann syndrome) ELANE, HAX1
Constitutional thrombocytopenia ANKRD26
MIRAGE syndrome SAMD9
Ataxia‐pancytopenia syndrome SAMD9L
Familial AML with mutated DDX41 DDX41
Congenital thrombocytopenia MECOM
Bone marrow failure syndrome ERCC6L2
Thrombocytopenia and absent radii syndrome
Congenital amegakaryocytic thrombocytopenia type I/II MPL
Transcription factor
Familial platelet disorder with propensity to myeloid malignancy RUNX1
Familial AML CEBPA
GATA2‐spectrum disorders GATA2
Susceptibility to ALL PAX5
Thrombocytopenia ETV6
Ribosomal anomalies
Diamond blackfan anemia RPS7, RPS10, RPS17, RPS19,RPS24, RPS26, RPL5, RPL11, RPL19, RPL35A
Shwachman–Diamond syndrome SBDS
Telomere maintenance
Dyskeratosis congenita DKC1, TERC, TERT, TINF2, NHP2, NOP10, WRAP53
RASopathies
Neurofibromatosis type 1 NF1
Noonan syndrome PTPN11, SOS1, RAF1, RIT1, KRAS, NRAS, SHOC2
Noonan syndrome with multiple lentigines PTN11, RAF1
Capillary malformation–arteriovenous malformation syndrome RASA1
Costello syndrome HRAS
Cardio‐facio‐cutaneous syndrome BRAF, MAP2K1 (MEK1), MAP2K2 (MEK2)
Legius syndrome SPRED1
CBL syndrome CBL
Immunodeficiencies (by way of example)
Wiskott–Aldrich syndrome WAS
PMS2 deficiency PMS2
X‐linked lymphoproliferative syndrome SAP, XIAP
IL2‐inducible T‐cell kinase deficiency ITK
Ligase IV syndrome LIG IV
DOCK8 deficiency DOCK8
Cartilage hair hypoplasia RMRP
Familial cancer syndromes
Familial adenomatous polyposis syndrome APC, MUTYH
Juvenile polyposis syndrome SMAD4, BMPR1A
Peutz–Jeghers syndrome STK11
MYTH‐associated polyposis MUTYH
Lynch syndrome type MSH2, MSH6, MLH1, PMS2, EPCAM
Multiple endocrine neoplasia type I MEN1
Multiple endocrine neoplasia type IIA RET
Multiple endocrine neoplasia type IIB RET
Multiple endocrine neoplasia type IV CDKN1B
Von Hippel–Lindau VHL
Hereditary paraganglioma/pheochromocytoma syndrome SDHA, SDHB, SDHC, SDHD, SDHAF2, TMEM127, MAX
Familial thyroid cancer RET, NTRK1
Hyperparathyroidism‐jaw tumor syndrome CDC73
PTEN hamartoma tumor syndrome PTEN
Pleuropulmonary blastoma syndrome DICER1
GLOW syndrome DICER1
Nevoid basal cell carcinoma syndrome (NBCCS)/Gorlin syndrome PTCH1, SUFU
Hereditary breast/ovarian cancer BRCA1, CHEK2, ATM, NBS1, RAD51, BRIP1, PALB2
Rubinstein–Taybi syndrome CREBBP, EP300
Schinzel–Giedion syndrome SETBP1
NKX2‐1 syndrome NKX2‐1
Hereditary leiomyomatosis and renal cancer syndrome FH
Tuberous sclerosis complex (TSC) TSC1, TSC2
Hereditary multiple exostoses EXT1, EXT2
Kabuki syndrome KMT2D, KDM6A, MLL2
Birt–Hogg–Dubé syndrome FLCN
Neurofibromatosis type II NF2
Schwannomatosis SMARCB1, LZTR1
Meningeoma predisposition SMARCE1
Non‐syndromic hereditary Wilms tumor WT1, CTR9
Hereditary retinoblastoma RB1
Hereditary neuroblastoma ALK, PHOX2B
Malignant rhabdoid tumor syndrome SMARCB1, SMARCA4
Chromosomal abnormalities
Down syndrome/Trisomy 21
Ullrich–Turner syndrome
Trisomy 18
rob(15;21)(q10;q10)c, ring chromosome 21
Monosomy 7
Congenital/developmental disorders and overgrowth syndromes
Coffin–Siris syndrome SOX11, ARID1A, ARID1B, SMARCA4, SMARCB1, SMARCE1
Nicolaides–Baraitser syndrome SMARCA2
Bohring–Opitz syndrome ASXL1
Mulibrey nanism TRIM37
Beckwith–Wiedemann syndrome
Hemihypertrophy
Perlman syndrome DIS3L2
Simpson–Golabi–Behmel syndrome GPC3, GPC4
WAGR syndrome
Denys–Drash syndrome WT1
Frasier syndrome WT1
Weaver syndrome EZH2
Sotos syndrome NSD1
Metabolic disorders
Citrullinemia SLC25A13
Ornithine transcarbamylase deficiency OTC
Argininosuccinate lyase deficiency ASL
Arginase deficiency ARG1
Familial pheochromocytoma and paraganglioma syndrome SDHA, SDHB, SDHC, SDHAF2
Cowden syndrome 2 SDHB
Leigh syndrome SDHA, SDHB
L‐2‐hydroxyglutaric aciduria L2HGDH
Tyrosinemia FAH

In the largest pediatric study to date, Zhang et al (2015) found an underlying CPS in 8.5% of childhood cancers, with TP53 being the most commonly mutated gene. They used a tumor versus germline approach to analyze mutations in the affected children, which did not allow them to elucidate the ratio of CPSs caused by inherited versus de novo germline mutations in cancer predisposition genes (CPGs). Indeed, to determine the inheritance pattern and thus the risk of recurrence in other family members, a parent–child (trio) approach is needed (Fig 1A–E) as parents might be clinically unaffected owing to phenotypic variability, incomplete penetrance, gender‐specific cancer risk, and environmental exposure. The child's cancer diagnosis alone may already indicate a familial cancer predisposition and thus help to identify any cancer risk in siblings. In addition, identifying a familial predisposition offers the opportunity for early cancer surveillance in at‐risk family members. For instance, in children diagnosed with constitutional mismatch repair deficiency (CMMRD), an autosomal recessive CPS, transmitting parents are at risk of tumors on the Lynch syndrome spectrum including colorectal and endometrial cancer, which typically develop in the third decade of life (Taeubner et al, 2018b).

Figure 1. Inheritance patterns in children with cancer.

Figure 1

(A–C) Autosomal dominant inheritance—transmitted by the affected (or as yet clinically unaffected) father (A), transmitted by parental (in this case paternal) mosaicism (B), and originated de novo (C). (D, E) Autosomal recessive inheritance—transmitted by both unaffected parents (D) and one variant transmitted by an unaffected parent (in this case the father) and one originated de novo (E). (F) Concomitant digenic inheritance of two heterozygous variants exemplified by two germline variants in PTCH1 and PTCH2 in a newborn with congenital rhabdomyosarcoma, leading to activation of the sonic hedgehog signaling pathway. The PTCH1 variant is inherited by the mother, while the PTCH2 variant is inherited by the father. Both parents are clinically unaffected so far.

In our pediatric oncology department, we initiated a prospective study termed “Germline mutations in children with cancer”. Families whose child was newly diagnosed with cancer were offered a comprehensive whole‐exome sequencing (WES) of parent–child trios in combination with systematically collecting demographic, medical, and family history data. The study aimed to determine the interest in and acceptance of this approach in affected families, to analyze whether anamnestic data indicate a familial cancer predisposition, and to investigate an underlying CPS and its inheritance pattern. Notably, knowledge of a potentially underlying CPS, and particularly the risk of recurrence in other children, is of great interest to families who have a child diagnosed with cancer. Thus, the great majority of families (88.3%) opted for participation when we offered diagnostic trio WES sequencing (Brozou et al, 2018).

In addition to the most well‐known CPS such as LFS, neurofibromatosis, and Gorlin syndrome, we also identified a frequent genetic phenomenon characterized by the presence of at least two independent, monoallelic germline mutations in different genes involved in the same signaling pathway (Fig 1F). In these analyses, we set the threshold for single nucleotide variants (SNVs) to a minor allele frequency (MAF) of < 1% and a combined annotation‐dependent depletion (CADD) score of higher than 10. We only considered combined inherited SNVs to be potentially pathogenic if at least one in silico prediction tool classified the variant as likely to be damaging or deleterious. In addition, we defined that the mutations must either be inherited from the parents—one each from the mother and father—who were as yet clinically unaffected, or, alternatively, one SNV was transmitted from the mother or father, while the second SNV occurred de novo in the affected child. Such combined monoallelic double hits likely cause the clinical cancer phenotype by interrupting the affected signaling pathway. For example, one might speculate that combined germline mutations in ATM and CHK1, both playing a critical role in DNA damage repair, may alter TP53 function and thus lead to a Li‐Fraumeni like‐phenotype that cannot be explained by TP53 mutations alone. Significantly, such a phenomenon caused by inherited combined digenic low‐penetrance variants might present with clinically unaffected parents and an unremarkable family history.

Likewise, several observations in breast cancer patients led to the hypothesis that low‐penetrance cancer susceptibility polymorphisms act as modifier genes in BRCA1/BRCA2 mutation carriers and non‐carriers to increase cancer risk. One could speculate that this involves genes that act as modifiers in the same CPG pathway, or low‐penetrance polymorphisms in BRCA1/BRCA2 mutation non‐carriers (Smith et al, 2007; Polak et al, 2017). In fact, combined monoallelic mutations in Fanconi anemia/breast cancer (FA/BRCA) pathway genes have been identified in patients with a more severe disease phenotype. The FA/BRCA pathway plays an important role in the maintenance of genome integrity and is involved in the DNA damage response (DDR) and DNA repair pathways.

By trio WES, we identified two concomitant monoallelic germline mutations in BRIP1 and HIPK2 in an 11‐year‐old girl diagnosed with metastatic osteosarcoma (Fig 2). Mutations in BRIP1/FANCJ are associated with breast cancer, but, so far, not with osteosarcoma. Further in silico analysis predicted that the novel missense variant in BRIP1, which is located in the nuclear localization signal, is damaging and deleterious. Eventually, the mother, who transmitted the BRIP1 variant, was diagnosed with breast cancer at the age of 46. HIPK2, which was transmitted by the father, is a crucial regulator of the DDR pathway and plays an important role in DNA double‐strand break repair.

Figure 2. Patient with metastatic osteosarcoma and concomitant monogenic germline variants in BRIP1 and HIPK2 .

Figure 2

CT scans of the pelvic region (A) and lungs (B) which shows the large pelvic tumor growing into the spinal canal and multiple lung metastases; three‐generation pedigree of the family (C); WES of blood‐derived DNA from the patient and the parents revealed a novel missense variant (p.Arg162Gln) in the BRIP1 gene located in the NLS (nuclear localization signal) inherited from the mother, and a missense variant (p.Thr602Pro) in the HIPK2 gene inherited from the father (D); protein structure of BRIP and HIPK2 (E). The patient and parents were enrolled in our study termed “germline mutations in children with cancer”. This study was approved by the Ethics Committee of the Heinrich Heine University, Duesseldorf, Germany (Study Number 4886). Informed consent was obtained from the patient and both parents. Whole‐exome sequencing was performed on peripheral‐blood‐derived DNA in accordance with the WMA Declaration of Helsinki and the Department of Health and Human Services Belmont Report.

The data from our ongoing study suggest that such double hits are particularly frequent in the TP53 and FA/BRCA pathway. It is not clear yet to what extent such functional perturbations of key cancer pathways by at least two co‐inherited heterozygous digenic mutations from each parent appear in the germline of children with cancer. By way of example, we detected two concomitant heterozygous low‐penetrance germline variants in PATCHED1 (PTCH1) and PATCHED2 (PTCH2), two key sonic hedgehog (SHH) signaling pathway genes in a newborn with congenital embryonal rhabdomyosarcoma. Only the combination of these two mutations activated the SHH pathway, which may help to explain the very early onset of rhabdomyosarcoma in newborns. The parents, who transmitted one risk variant each, are clinically unaffected and did not show activation of the SHH pathway (Taeubner et al, 2018a).

We think that monoallelic, independent germline mutations in more than one CPG in the same cancer pathway should be considered pathogenic. Such double‐hit mutations, which are reminiscent of compound heterozygosity that causes many devastating Mendelian disorders—severe primary immunodeficiencies and metabolic disorders—are likely overlooked in the clinic if each is inherited by one clinically unaffected parent. Taking this inheritance pattern into account, we aimed to put it in a broader perspective, namely at the cancer pathway level (Fig 1F). However, it remains unclear to which extent this phenomenon may trigger or at least modify malignant transformation particularly in children, in whom, other than in adults, long‐term lifestyle factors are mostly negligible. Obviously, the likelihood of this phenomenon to occur purely by chance critically depends on the mutation load in the respective population and may vary across populations and genes.

In addition, whereas the pathogenicity of protein‐truncating mutations seems plausible, frequent missense variants may functionally be unimportant and found by chance if a given cancer pathway includes a sufficiently large number of genes. For instance, the Exome Aggregation Consortium (ExAC) database contains 567 missense variants (of any frequency) in BRCA1, 1186 in BRCA2, 46 in RAD51, and 385 in PALB2—genes involved in the FA/BRCA pathway—in 60,000 healthy individuals. On other hand, missense variants can even be more deleterious than truncations, if, for instance, the mutation exerts an additional dominant‐negative effect (di Masi, 2008). Hence, careful functional validation of identified variants is mandatory, but a tantalizing task in clinical practice. Contrary to what is commonly assumed, the functional alteration of a protein does not necessarily cause a complex clinical phenotype such as cancer in children. A complete understanding of this phenomenon will remain elusive until we can better characterize the role of protein‐altering genetic variation on cancer development. To this end, we need databases with functional analyses for different variants in each single gene.

For patients and their family members, the double hit‐one pathway phenomenon could have important clinical implications, including early diagnosis, assessment of cancer risk, and surveillance. In times of increasingly precise medicine, including early tumor detection and immunoprevention, this is of high relevance. The past 3 years have seen the development of early detection of premalignant lesions by analyzing circulating cell‐free DNA and molecular markers, clonal hematopoiesis by deep sequencing, combinatorial chemopreventive interventions, and new, FDA‐approved drugs and vaccines for cancer prevention (Kensler et al, 2016). Given these promising approaches, we expect novel options for cancer prevention and early detection to become available in the near future, along with surveillance programs such as in LFS. For instance, in families with CMMRD and Lynch syndrome, low‐dose aspirin is already recommended for preventing colorectal cancer (Burn et al, 2011). Trio sequencing therefore gives clinically important insights into inheritance patterns, the pathogenesis and mechanisms of cancer development in children, and provides a powerful tool to identify family members at risk. This method holds the promise of real precision cancer medicine including targeted prevention.

Conflict of interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors thank the families for participating in the study, the study team in Düsseldorf for their valuable contribution, Kolja Kunstreich for drafting Fig 1, and Stewart Boden for English editing.

EMBO Mol Med (2018) 10: e8641

Contributor Information

Michaela Kuhlen, Email: michaela.kuhlen@med.uni-duesseldorf.de.

Arndt Borkhardt, Email: arndt.borkhardt@med.uni-duesseldorf.de.

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