Literature DB >> 33634344

Proportion of children with cancer that have an indication for genetic counseling and testing based on the cancer type irrespective of other features.

Thi Minh Kha Nguyen1, Astrid Behnert1, Torsten Pietsch2, Christian Vokuhl3, Christian Peter Kratz4.   

Abstract

In children with cancer, specific clinical features such as physical anomalies, occurrence of cancer in young relatives, specific cancer histologies, and unique mutation/methylation signatures may indicate the presence of an underlying cancer predisposition syndrome (CPS). The proportion of children with a cancer type suggesting a CPS among all children with cancer is unknown. To determine the proportion of children with cancer types suggesting an underlying CPS among children with cancer. We evaluated the number of children with cancer types strongly associated with CPS diagnosed in Germany between 2007 and 2016. Data were obtained from various sources including two national pediatric pathology reference laboratories for brain and solid tumors, respectively, various childhood cancer trial offices as well as the German Childhood Cancer Registry. Among 21,127 children diagnosed with cancer between 2007 and 2016, 2554 (12.1%) had a cancer type strongly associated with a CPS. The most common diagnoses were myelodysplastic syndrome and juvenile myelomonocytic leukemia, retinoblastoma, malignant peripheral nerve sheath tumor, infantile myofibromatosis, medulloblastomaSHH, rhabdoid tumor as well as atypical teratoid/rhabdoid tumor. Based on cancer type only, 12.1% of all children with cancer have an indication for a genetic evaluation. Pediatric oncology patients require access to genetic counselling and testing.
© 2021. The Author(s).

Entities:  

Keywords:  Cancer predisposition syndromes; Childhood cancer; Pathology

Mesh:

Year:  2021        PMID: 33634344      PMCID: PMC8484228          DOI: 10.1007/s10689-021-00234-4

Source DB:  PubMed          Journal:  Fam Cancer        ISSN: 1389-9600            Impact factor:   2.375


Introduction

Cancer predisposition syndromes (CPS) are a well-established cause of childhood cancer [1-4]. Several clinical features may prompt a physician to consider an underlying CPS in a child with cancer. These include physical anomalies, positive cancer (family) history, and cancer type as well as somatic molecular features [4-7]. While there are cancer types rarely associated with a CPS, such as acute lymphoblastic leukemia (ALL), germ cell tumors, and neuroblastoma, there are other cancer types that, by itself, always suggest the presence of an underlying CPS. Examples include pleuropulmonary blastoma strongly associated with DICER1 germline variants or retinoblastoma strongly associated with pathogenic variants in RB1. Here, we evaluated the proportion of children with cancer types strongly associated with CPS diagnosed within a ten-year, 2007–2016, period in Germany. Addressing this question is important in order to better estimate genetic counseling needs in the field of pediatric oncology.

Methods

Cancer types with an indication for genetic counseling and testing were recently reviewed and incorporated in a CPS-questionnaire currently used in Germany to identify patients with an indication for a genetic evaluation (see supplement to Ref. [6]). The list of cancer types falling into this category was created by the cancer predisposition working group of the German Society for Pediatric Oncology and Hematology and was based on recommendations from various cancer trial groups. The list shares large overlaps with a similar list generated independently by Postema et al. [4] who created a list of cancer types that warrant a genetic evaluation because at least 5% of cases are associated with a CPS. The number of patients with the following cancer types diagnosed in Germany between January 1st 2007 and December 31st 2016 were retrieved from the pediatric cancer pathology reference laboratories of the German Society of Oncology and Hematology (GPOH) in Bonn where generally all cases of childhood tumors are reviewed centrally: adrenocortical adenoma, adrenocortical carcinoma, atypical teratoid/rhabdoid tumor, botryoid rhabdomyosarcoma of the genitourinary tract, choroid plexus carcinoma, colorectal carcinoma, cystic nephroma, fetal rhabdomyoma, gastrointestinal stromal tumor, giant cell glioblastoma, gonadoblastoma, hemangioblastoma, hepatocellular carcinoma, infantile myofibromatosis, large cell calcifying Sertoli-cell-tumor, malignant peripheral nerve sheath tumor, medullary renal cell carcinoma, medullary thyroid carcinoma, medulloepithelioma, melanoma, meningioma, myxoma, neuroendocrine tumor (excluding carcinoid of the appendix), optic pathway glioma, parathyroid adenoma, pheochromocytoma, pilocytic astrocytoma with signs of neurofibromatosis type 1, pineoblastoma, pituitary adenoma/tumor, pleuropulmonary blastoma, renal cell carcinoma, rhabdoid-tumor, anaplastic rhabdomyosarcoma, schwannoma, Sertoli-Leydig-cell-tumor, small cell carcinoma of the ovary hypercalcemic type, squamous cell carcinoma, subependymal giant cell astrocytoma, thyroid carcinoma (follicular), thyroid carcinoma (papillary), thyroid carcinoma (unclassified). In addition, the number of patients with the following cancer types diagnosed within the same 10-year period were retrieved from the annual report of the German Childhood Cancer Registry (GCCR) [8]: myelodysplastic syndrome/juvenile myelomonocytic leukemia, and retinoblastoma. The number of patients diagnosed in Germany within the same 10-year period with the following entities were calculated based on numbers provided in the annual report of the GCCR [8] and the published percentage of cases with the defining features [9-12]: medulloblastomaSHH, medulloblastomaWNT CTNNB1 wildtype, hepatoblastoma CTNNB1 wildtype and acute myeloid leukemia (AML) with monosomy 7/aberration 7q. Finally, the number of patients diagnosed with hypodiploid ALL was provided by the ALL BFM and COALL trial groups (C.P.K. personal communication). Beginning in 2009, the GCCR extended the upper age cut-off from 15 years to 18 years. According to the GCCR’s archived annual reports, 16,902 patients under the age of 18 years were diagnosed between years 2009 and 2016 (on average, 2112 patients per year). Based on this number, we estimate that 21,127 patients under the age of 18 years were diagnosed with cancer between January 1st 2007 and December 31st 2016. The study was approved by the ethical review board at Hannover Medical School.

Results

Among the 21,127 patients diagnosed with cancer prior to age 18 years in Germany between January 1st 2007 and December 31st 2016, 2554 children (12.1%) had a cancer type highly suggesting the presence of an underlying CPS. The most common diagnoses were myelodysplastic syndrome, juvenile myelomonocytic leukemia, retinoblastoma, malignant peripheral nerve sheath tumor, infantile myofibromatosis, medulloblastomaSHH, rhabdoid tumor and atypical teratoid/rhabdoid tumor. For all the remaining entities there were less than 10 patients per year diagnosed in Germany (Fig. 1).
Fig. 1

Number of children with various cancer types highly associated with cancer predisposition syndromes diagnosed in Germany within a 10-year period, 2007–2016

Number of children with various cancer types highly associated with cancer predisposition syndromes diagnosed in Germany within a 10-year period, 2007–2016

Discussion

Approximately 10% of children with cancer have a CPS [1-4]. Therefore, a CPS should be, at least, considered, in every child with cancer. The optimal approach to diagnose children with a CPS among children with cancer is currently being investigated by several groups. One strategy is to clinically identify individual patients who have a particular high probability of an underlying CPS and to offer genetic evaluation to these individuals. We and others have established simple tools in order to help physicians to identify patients with an indication for genetic counseling and testing [4-7]. In addition to family history and physical anomalies, the cancer type (including somatic signatures) may help to identify patients with a high probability of an underlying CPS. The cancer types falling into this category are constantly growing and evolving [13]. Here, we determined the proportion of children with cancer types highly suggestive of an underlying CPS and found that 14% of children with cancer fall into this category. The study has several limitations: (1) The study design did not allow us to determine the percentage of patients who had an underlying CPS; It is likely that many patients were never genetically evaluated because in the past patients were not studied systematically; (2) We cannot rule out that we missed patients because our main identifying sources were two reference laboratories. It is possible that not all patients with relevant cancer types were reviewed by these reference laboratories. Nevertheless, the use of pathology reference laboratories is a common practice in Germany and generally, most pediatric cases are reviewed. We cannot rule out, however, that all pathologies from children with “adult” tumor types (e.g. colorectal carcinoma) were reviewed by one of the pediatric reference laboratories that served as our main source; (3) not all tumors are biopsied (e.g., optic pathway glioma in patients with neufibromatosis type 1 are not always biopsied) potentially leading to an underestimation in this study. (4) The cancer types associated with CPS are constantly evolving. For example, after our data collection was completed, TRIM28 pathogenic variants were identified in epithelial nephroblastoma [14-17]. Thus, our list of cancer types is incomplete, leading to an underestimation of the determined proportion; (5) Several cancer types, especially brain tumors, are now subdivided into molecular subgroups. Only recently it has been shown that some of these subgroups are often associated with a CPS and, therefore, these data were not available for the entire 10-year period. We were able to compensate this problem by providing estimates in this situation (see "Methods" section). In conclusion, 12.1% of children with cancer have a cancer type strongly associated with a CPS. In order to increase the chance that affected families are being offered counseling and testing, reference pathology reports on these entities should state that a genetic evaluation is recommended. We also recommend that pediatric oncologists use one of the available screening tools [4-7]-some of which use decisional algorithms [7]-to identify patients with a high likelihood of an underlying CPS.
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Journal:  Pediatr Blood Cancer       Date:  2018-08-16       Impact factor: 3.167

Review 2.  Medulloblastoma.

Authors:  Paul A Northcott; Giles W Robinson; Christian P Kratz; Donald J Mabbott; Scott L Pomeroy; Steven C Clifford; Stefan Rutkowski; David W Ellison; David Malkin; Michael D Taylor; Amar Gajjar; Stefan M Pfister
Journal:  Nat Rev Dis Primers       Date:  2019-02-14       Impact factor: 52.329

3.  TRIM28 haploinsufficiency predisposes to Wilms tumor.

Authors:  Illja J Diets; Juliane Hoyer; Arif B Ekici; Bernt Popp; Nicoline Hoogerbrugge; Simon V van Reijmersdal; Rajith Bhaskaran; Michel Hadjihannas; Georgia Vasileiou; Christian T Thiel; Didem Seven; Steffen Uebe; Denisa Ilencikova; Esmé Waanders; Annelies M C Mavinkurve-Groothuis; Nel Roeleveld; Ronald R de Krijger; Jenny Wegert; Norbert Graf; Christian Vokuhl; Abbas Agaimy; Manfred Gessler; André Reis; Roland P Kuiper; Marjolijn C J Jongmans; Markus Metzler
Journal:  Int J Cancer       Date:  2019-02-14       Impact factor: 7.396

4.  Should children at risk for familial adenomatous polyposis be screened for hepatoblastoma and children with apparently sporadic hepatoblastoma be screened for APC germline mutations?

Authors:  Stefan Aretz; Arend Koch; Siegfried Uhlhaas; Waltraut Friedl; Peter Propping; Dietrich von Schweinitz; Torsten Pietsch
Journal:  Pediatr Blood Cancer       Date:  2006-11       Impact factor: 3.167

Review 5.  Investigation of clinically relevant germline variants detected by next-generation sequencing in patients with childhood cancer: a review of the literature.

Authors:  Dianne E Sylvester; Yuyan Chen; Robyn V Jamieson; Luciano Dalla-Pozza; Jennifer A Byrne
Journal:  J Med Genet       Date:  2018-10-04       Impact factor: 6.318

6.  The landscape of genomic alterations across childhood cancers.

Authors:  Susanne N Gröbner; Barbara C Worst; Joachim Weischenfeldt; Ivo Buchhalter; Kortine Kleinheinz; Vasilisa A Rudneva; Pascal D Johann; Gnana Prakash Balasubramanian; Maia Segura-Wang; Sebastian Brabetz; Sebastian Bender; Barbara Hutter; Dominik Sturm; Elke Pfaff; Daniel Hübschmann; Gideon Zipprich; Michael Heinold; Jürgen Eils; Christian Lawerenz; Serap Erkek; Sander Lambo; Sebastian Waszak; Claudia Blattmann; Arndt Borkhardt; Michaela Kuhlen; Angelika Eggert; Simone Fulda; Manfred Gessler; Jenny Wegert; Roland Kappler; Daniel Baumhoer; Stefan Burdach; Renate Kirschner-Schwabe; Udo Kontny; Andreas E Kulozik; Dietmar Lohmann; Simone Hettmer; Cornelia Eckert; Stefan Bielack; Michaela Nathrath; Charlotte Niemeyer; Günther H Richter; Johannes Schulte; Reiner Siebert; Frank Westermann; Jan J Molenaar; Gilles Vassal; Hendrik Witt; Birgit Burkhardt; Christian P Kratz; Olaf Witt; Cornelis M van Tilburg; Christof M Kramm; Gudrun Fleischhack; Uta Dirksen; Stefan Rutkowski; Michael Frühwald; Katja von Hoff; Stephan Wolf; Thomas Klingebiel; Ewa Koscielniak; Pablo Landgraf; Jan Koster; Adam C Resnick; Jinghui Zhang; Yanling Liu; Xin Zhou; Angela J Waanders; Danny A Zwijnenburg; Pichai Raman; Benedikt Brors; Ursula D Weber; Paul A Northcott; Kristian W Pajtler; Marcel Kool; Rosario M Piro; Jan O Korbel; Matthias Schlesner; Roland Eils; David T W Jones; Peter Lichter; Lukas Chavez; Marc Zapatka; Stefan M Pfister
Journal:  Nature       Date:  2018-02-28       Impact factor: 49.962

7.  Germline Mutations in Predisposition Genes in Pediatric Cancer.

Authors:  Jinghui Zhang; Michael F Walsh; Gang Wu; Kim E Nichols; Michael N Edmonson; Tanja A Gruber; John Easton; Dale Hedges; Xiaotu Ma; Xin Zhou; Donald A Yergeau; Mark R Wilkinson; Bhavin Vadodaria; Xiang Chen; Rose B McGee; Stacy Hines-Dowell; Regina Nuccio; Emily Quinn; Sheila A Shurtleff; Michael Rusch; Aman Patel; Jared B Becksfort; Shuoguo Wang; Meaghann S Weaver; Li Ding; Elaine R Mardis; Richard K Wilson; Amar Gajjar; David W Ellison; Alberto S Pappo; Ching-Hon Pui; James R Downing
Journal:  N Engl J Med       Date:  2015-11-18       Impact factor: 91.245

8.  Genotype-outcome correlations in pediatric AML: the impact of a monosomal karyotype in trial AML-BFM 2004.

Authors:  M Rasche; C von Neuhoff; M Dworzak; J-P Bourquin; J Bradtke; G Göhring; G Escherich; G Fleischhack; N Graf; B Gruhn; O A Haas; T Klingebiel; B Kremens; T Lehrnbecher; A von Stackelberg; J Tchinda; Z Zemanova; C Thiede; N von Neuhoff; M Zimmermann; U Creutzig; D Reinhardt
Journal:  Leukemia       Date:  2017-04-25       Impact factor: 11.528

9.  A unique subset of low-risk Wilms tumors is characterized by loss of function of TRIM28 (KAP1), a gene critical in early renal development: A Children's Oncology Group study.

Authors:  Amy E Armstrong; Samantha Gadd; Vicki Huff; Daniela S Gerhard; Jeffrey S Dome; Elizabeth J Perlman
Journal:  PLoS One       Date:  2018-12-13       Impact factor: 3.240

10.  Germline mutations and somatic inactivation of TRIM28 in Wilms tumour.

Authors:  Benjamin J Halliday; Ryuji Fukuzawa; David M Markie; Richard G Grundy; Jackie L Ludgate; Michael A Black; Jane E Skeen; Robert J Weeks; Daniel R Catchpoole; Aedan G K Roberts; Anthony E Reeve; Ian M Morison
Journal:  PLoS Genet       Date:  2018-06-18       Impact factor: 5.917

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Review 1.  Diagnostic Strategies and Algorithms for Investigating Cancer Predisposition Syndromes in Children Presenting with Malignancy.

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