Group leader: Prof. Roland Kuiper
Childhood cancer predisposition
An estimated 6-10% of the children that are diagnosed with cancer carry a germline mutation in one of the known cancer predisposing genes. Recognition of these syndromes usually occurs on the basis of clinical phenotypes, family history, or tumor types. However, in a significant number of cases an underlying heritable cause of cancer initiation is unknown, or the patient is not recognized as being at risk due to absence of these clinical signs. We aim to identify and characterize novel genetic causes of childhood cancer predisposition, and study its prevalence in the population of children with cancer. We use a patient-parent based sequencing approach to efficiently identify de novo mutations and recessive inheritance. Furthermore, in the Predict study we compare the efficiency of clinically driven recognition of cancer predisposition among children with cancer with standardized sequencing of all childhood cancer predisposition genes.
Furthermore, we characterize the genomics of the tumor samples of these patients to correlate identified germline variants to specific aberrations or pathways of tumor developments. We currently run projects on leukemia and lymphoma predisposition, renal cancer predisposition and DNA repair syndromes. Furthermore, we perform a comprehensive genetic characterization of adolescent and familial urinary bladder cancer patients in order to identify causative germline mutations.
The growing availability of genome-wide profiling and sequencing technologies revolutionizes our understanding of cancer genomes, and provides us with opportunities to better predict risks for cancer development. Single gene mutations have been identified with a major impact on cancer risk and outcome. In the majority of cases, however, the cause of cancer onset and progression is dependent on a more complex interplay between genetic factors, which is more challenging to elucidate. To unravel this interplay of genetic factors, we apply sophisticated analyses of whole genome sequencing and transcriptomics data of both tumor samples and normal inherited DNA, with the ultimate aim to identify novel genes and mechanisms involved in an individual’s risk for cancer development and therapy response.
Renal cancer predisposition
Genetic predisposition is recognized in a substantial subset of children with renal tumors, particularly in patients with well-depicted syndromes, bilateral tumors, or a family history of cancer. For the majority of these cases, however, the genetic cause remains unknown. Furthermore, upfront recognition of enhanced genetic susceptibility in children with renal cancer is still problematic, and its prevalence is currently unknown. In collaboration with the group of prof. dr. Marry van den Heuvel-Eibrink, we investigate the frequency of known and novel genetic causes of renal cancer predisposition in children by whole exome sequencing of patients, parents and, where available, tumors, and structurally document phenotypic characteristics of these patients to optimize genetic counseling and surveillance.
Urinary bladder cancer predisposition
In collaboration with prof. dr. Bart Kiemeney and dr. Sita Vermeulen (Radboud university medical center, Nijmegen, The Netherlands) and deCODE Genetics (Reykjavik, Iceland), we currently perform a large whole genome sequencing study of familial and adolescent (<30 years of age) urinary bladder cancer patients in a patient-parent trio approach, in order to identify novel cancer predisposing genes and mechanisms. Tumor samples will be sequenced where available in order to perform an integrated germline-tumor analysis.
The genetic basis of relapsed acute lymphoblastic leukemia
The overall prognosis of children with B-cell progenitor (BCP) ALL has improved enormously during the last decades, with 5-year event-free survival reaching 90%. Despite these improvements, cure rates for patients that relapse remain poor with survival rates ranging between 20-65% as high treatment intensity is needed to induce a long-term second remission. Furthermore, the adverse effect of this intensified treatment potentially involves higher rates of treatment-related toxicity and late effects. The aim of our group is to unravel the genomic landscape of relapsed BCP ALL to identify novel genes, alterations and mechanisms associated with the occurrence of relapse. We perform whole exome and whole genome sequencing to study the genomic landscape of relapsed ALL. Furthermore, we use deep-sequencing techniques to investigate the role of subclonal mutations. Targeted locus amplification (TLA) is used to identify fusion partners that can be used for minimal residual disease monitoring. In collaboration with the Van Leeuwen group, we study the consequences of genomic alterations in therapy response. Using reverse genetic screens in leukemia cell lines and mouse models, we aim to identify new clues and approaches to circumvent therapy resistance or improve sensitivity of standard treatment in the context of specific genetic alterations.
We focus on subclonal diversity in leukemia and its relevance for therapy response and outcome. The clonal evolution of leukemia is dynamic and strongly influenced by external factors, including therapy. Optimal treatment strategies therefore rely on the ability to constantly monitor not only the clearance of the leukemic cell population as a whole, but also those of minor subclones relative to each other. We invest in technologies that make this monitoring technically possible. I believe that most genetic factors that affect outcome, do so within a certain genomic context. Detection of cooperating events may therefore become of significant value. To be able to detect subclones in their genomic context, I expect that single cell sequencing will become increasingly important.
Technological developments in genomics research have a considerable impact on our current understanding of the genomic architecture of leukemia and will provide enormous opportunities for improved diagnosis, prognosis, and treatment. Research to test whether and how these technologies can be implemented in routine diagnostics in a cost-effective manner is extremely important for the patient. We create and test novel strategies to detect clinically relevant genomic alterations including subclonal mutations and gene fusions, which can be used to adapt the diagnostic pipeline of genetic screening of childhood ALL patients before and during treatment for optimal therapy decision making (targeted therapies).
Mutational processes in acute lymphoblastic leukemia
Lead: C. van der Ham - MSc.
In this project we study which mutational processes occur during the development of acute lymphoblastic leukemia. By characterizing the sources of stress and DNA damage that leukemic cells experience we aim to understand the intrinsic and outside mutagens shaping the leukemia. At initial diagnosis we aim to identify subgroups of patients who are potentially at higher risk of relapse or more prone to specific chemotherapeutics. Furthermore, analysis of the mutational processes in relapse allows us to better understand the toxic effects of chemotherapy and the role of chemotherapy in clonal selection (KWF 12482).
Identifiation of molecular signatures associated with cancer predisposition syndromes (CPS)
Lead: F. Oberhammer - MSc., S. van Peer - MSc. and F. van Dijk - MSc.
Recognizing cancer predisposition syndromes (CPS) poses a considerable challenge, given the variability in phenotypes, the presence of germline mosaicism, and the existence of undiscovered genes. Our project is dedicated to the identification of molecular signatures associated with childhood CPS through the analysis of transcriptome and methylome profiling data derived from tumors. By leveraging these molecular signatures, our objective is to pinpoint individuals with an elevated risk of harboring a CPS. Ultimately, our aim is to create a classifier based on transcriptome and methylome somatic signatures, facilitating the early detection of pediatric cancer predisposition syndromes.
- Tumor-based molecular signatures of childhood cancer predisposition - CoFund Butterfly (2023 - 2027) – News article
- The molecular footprint of Wilms tumor in children with genetic predisposition (with Van den Heuvel-Eibrink group) – KiKa pilot grant (2022 - 2024)
- The contribution of genetic predisposition to pediatric cancer: a study integrating extensive phenotyping and state of the art genotyping (with Merks group) – KiKa grant (2019 - 2023)
- REFLECT: Reactions and Emotions of Families Linked to Exome sequencing in Childhood Cancer (with Grootenhuis group) – KiKa grant (2021 - 2024)
- Mechanisms of hypermutation in relapsed acute lymphoblastic leukemia in children and implications for treatment – Dutch Cancer Society (KWF) grant supported by Fight Cancer (2020 - 2024)
- Defining mutational footprints predicting genetic predisposition and therapy sensitivity in cancer – Dutch Cancer Society (KWF) grant (2019 - 2024)
Twinning program KiTZ
- Exploring the impact of adult-type cancer predisposition genes and postzygotic mosaicism on pediatric malignancies - with Pajtler, RJ Autry and S. Hirsch (KiTZ) (2022 - 2023) – News Article
van Engelen N, Roest M, van Dijk F, Sonneveld E, Bladergroen R, van Reijmersdal SV, van der Velden VHJ, Hoogeveen PG, Kors WA, Waanders E, Jongmans MCJ, Kuiper RP. A novel germline PAX5 single exon deletion in a pediatric patient with precursor B-cell leukemia. Leukemia. 2023 Sep;37(9):1908-1911. doi: 10.1038/s41375-023-01991-0. Epub 2023 Aug 5. PMID: 37543654; PMCID: PMC10457179.
Bakhuizen JJ, Hopman SMJ, Bosscha MI, Dommering CJ, van den Heuvel-Eibrink MM, Hol JA, Kester LA, Koudijs MJ, Langenberg KPS, Loeffen JLC, van der Lugt J, Moll AC, van Noesel MM, Smetsers SE, de Vos-Kerkhof E, Merks JHM, Kuiper RP, Jongmans MCJ. Assessment of Cancer Predisposition Syndromes in a National Cohort of Children With a Neoplasm. JAMA Netw Open. 2023 Feb 1;6(2):e2254157. doi: 10.1001/jamanetworkopen.2022.54157. PMID: 36735256; PMCID: PMC9898819.
Hol JA, Kuiper RP, van Dijk F, Waanders E, van Peer SE, Koudijs MJ, Bladergroen R, van Reijmersdal SV, Morgado LM, Bliek J, Lombardi MP, Hopman S, Drost J, de Krijger RR, van den Heuvel-Eibrink MM, Jongmans MCJ. 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 Jun 10;40(17):1892-1902. doi: 10.1200/JCO.21.02510. Epub 2022 Mar 1. PMID: 35230882; PMCID: PMC9177240.
Hol JA, Diets IJ, de Krijger RR, van den Heuvel-Eibrink MM, Jongmans MC, Kuiper RP. TRIM28 variants and Wilms' tumour predisposition. J Pathol. 2021 Jul;254(4):494-504. doi: 10.1002/path.5639. Epub 2021 Mar 15. PMID: 33565090; PMCID: PMC8252630.
Antić Ž, Yu J, Van Reijmersdal SV, Van Dijk A, Dekker L, Segerink WH, Sonneveld E, Fiocco M, Pieters R, Hoogerbrugge PM, Van Leeuwen FN, Van Kessel AG, Waanders E, Kuiper RP. Multiclonal complexity of pediatric acute lymphoblastic leukemia and the prognostic relevance of subclonal mutations. Haematologica. 2021 Dec 1;106(12):3046-3055. doi: 10.3324/haematol.2020.259226. PMID: 33147938; PMCID: PMC8634184.
Waanders E, Gu Z, Dobson SM, Antić Ž, Crawford JC, Ma X, Edmonson MN, Payne- Turner D, van de Vorst M, Jongmans MCJ, McGuire I, Zhou X, Wang J, Shi L, Pounds S, Pei D, Cheng C, Song G, Fan Y, Shao Y, Rusch M, McCastlain K, Yu J, van Boxtel R, Blokzijl F, Iacobucci I, Roberts KG, Wen J, Wu G, Ma J, Easton J, Neale G, Olsen SR, Nichols KE, Pui CH, Zhang J, Evans WE, Relling MV, Yang JJ, Thomas PG, Dick JE, Kuiper RP, Mullighan CG. Mutational landscape and patterns of clonal evolution in relapsed pediatric acute lymphoblastic leukemia. Blood Cancer Discov. 2020 Jul;1(1):96-111. doi: 10.1158/0008-5472.BCD-19-0041. PMID: 32793890; PMCID: PMC7418874.
Grolleman JE, de Voer RM, Elsayed FA, Nielsen M, Weren RDA, Palles C, Ligtenberg MJL, Vos JR, Ten Broeke SW, de Miranda NFCC, Kuiper RA, Kamping EJ, Jansen EAM, Vink-Börger ME, Popp I, Lang A, Spier I, Hüneburg R, James PA, Li N, Staninova M, Lindsay H, Cockburn D, Spasic-Boskovic O, Clendenning M, Sweet K, Capellá G, Sjursen W, Høberg-Vetti H, Jongmans MC, Neveling K, Geurts van Kessel A, Morreau H, Hes FJ, Sijmons RH, Schackert HK, Ruiz-Ponte C, Dymerska D, Lubinski J, Rivera B, Foulkes WD, Tomlinson IP, Valle L, Buchanan DD, Kenwrick S, Adlard J, Dimovski AJ, Campbell IG, Aretz S, Schindler D, van Wezel T, Hoogerbrugge N, Kuiper RP. Mutational Signature Analysis Reveals NTHL1 Deficiency to Cause a Multi-tumor Phenotype. Cancer Cell. 2019 Feb 11;35(2):256-266.e5. doi: 10.1016/j.ccell.2018.12.011. PMID: 30753826.
- Esmee Waanders - PhD
- Janna Hol - PhD
- Mariangela Sabatella - PhD
- Marley Yeong - Bioinformatic Technician
- Stefan Lelyveld - Bioinformatician
- Jiangyan Yu - PhD
- Simon van Reijmersdal - Technician
- Željko Antić - PhD