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  • 1
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 22, No. 16_Supplement ( 2016-08-15), p. A25-A25
    Abstract: Solid tumors of the nervous system are the most common childhood cancers after leukemias. Although brain tumors are the leading cause of cancer-related mortality in children, there are not enough adequate model systems to study their biology. We therefore started a pediatric preclinical testing program in Heidelberg to generate orthotopic patient-derived xenograft (PDX) models for a large variety of pediatric brain tumors. Freshly dissected primary material from multiple centers is being sent to us immediately after surgical resections. One part of the tumor is being reserved for pathological and molecular analysis and the other part is being dissociated into a single cell suspension and injected into the brain of immunodeficient mice. After successful engraftment and passaging, extensive molecular characterization of the PDX tumor and the matching primary tumor are being performed. Thus far, we have injected 95 tumors: 36 low-grade gliomas (LGG), 23 medulloblastomas (MB), 13 ependymomas (EPN), 7 high-grade gliomas (HGG), 6 atypical teratoid rhaboid tumors (AT/RT), 3 meningeal tumors (MT), 3 embryonal tumors with multilayered rosettes (ETMR), 2 gliomatosis cerebri (GC), 1 dysembryoplastic neuroepithelial tumor (DNT) and 1 primitive neuroectodermal tumor (PNET). No engraftment was observed for any of the low-grade tumors (LGG, MT, DNT). For high-grade tumors we established initial engraftments of MB (5/23, 22%), EPN (5/13, 38%), HGG (2/7, 29%), AT/RT (2/6, 33%), ETMR (1/3, 33%) and PNET (1/1, 100%). 11 out of 16 (69%) established PDX models were already passaged at least twice in mice and can be used for preclinical experiments. We conclude that it is possible to generate preclinical models for most malignant pediatric brain tumor entities, but not for low-grade tumors using our current protocol. However, even for the malignant entities there seems to be a selection for only the most aggressive subtypes that successfully engraft. Therefore, due to the low engraftment rate of some tumor types, the rarity of pediatric brain tumors and the multitude of different subtypes, international collaborations are absolutely necessary in this field in order to generate and characterize a broad repertoire of PDX models for all pediatric brain tumor subtypes for preclinical testing. Citation Format: Norman L. Mack, Sebastian Brabetz, Florian Selt, Xanthopolous Christina, David Sumerauer, Heidi Bächli, Arnulf Pekrun, Martin U. Schuhmann, Stefan M. Pfister, Olaf Witt, Till Milde, Marcel Kool. Establishment of orthotopic patient-derived xenograft models of pediatric brain tumors – the Heidelberg experience. [abstract]. In: Proceedings of the AACR Special Conference: Patient-Derived Cancer Models: Present and Future Applications from Basic Science to the Clinic; Feb 11-14, 2016; New Orleans, LA. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(16_Suppl):Abstract nr A25.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
    detail.hit.zdb_id: 1225457-5
    detail.hit.zdb_id: 2036787-9
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  • 2
    In: Acta Neuropathologica, Springer Science and Business Media LLC, Vol. 131, No. 6 ( 2016-6), p. 903-910
    Type of Medium: Online Resource
    ISSN: 0001-6322 , 1432-0533
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2016
    detail.hit.zdb_id: 1458410-4
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  • 3
    In: Acta Neuropathologica, Springer Science and Business Media LLC, Vol. 142, No. 5 ( 2021-11), p. 841-857
    Abstract: Large-scale molecular profiling studies in recent years have shown that central nervous system (CNS) tumors display a much greater heterogeneity in terms of molecularly distinct entities, cellular origins and genetic drivers than anticipated from histological assessment. DNA methylation profiling has emerged as a useful tool for robust tumor classification, providing new insights into these heterogeneous molecular classes. This is particularly true for rare CNS tumors with a broad morphological spectrum, which are not possible to assign as separate entities based on histological similarity alone. Here, we describe a molecularly distinct subset of predominantly pediatric CNS neoplasms ( n  = 60) that harbor PATZ1 fusions. The original histological diagnoses of these tumors covered a wide spectrum of tumor types and malignancy grades. While the single most common diagnosis was glioblastoma (GBM), clinical data of the PATZ1 -fused tumors showed a better prognosis than typical GBM, despite frequent relapses. RNA sequencing revealed recurrent MN1 : PATZ1 or EWSR1 : PATZ1 fusions related to (often extensive) copy number variations on chromosome 22, where PATZ1 and the two fusion partners are located. These fusions have individually been reported in a number of glial/glioneuronal tumors, as well as extracranial sarcomas. We show here that they are more common than previously acknowledged, and together define a biologically distinct CNS tumor type with high expression of neural development markers such as PAX2 , GATA2 and IGF2 . Drug screening performed on the MN1 : PATZ1 fusion-bearing KS-1 brain tumor cell line revealed preliminary candidates for further study. In summary, PATZ1 fusions define a molecular class of histologically polyphenotypic neuroepithelial tumors, which show an intermediate prognosis under current treatment regimens.
    Type of Medium: Online Resource
    ISSN: 0001-6322 , 1432-0533
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 1458410-4
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  • 4
    In: Acta Neuropathologica, Springer Science and Business Media LLC, Vol. 145, No. 1 ( 2023-01), p. 97-112
    Abstract: Molecular groups of medulloblastoma (MB) are well established. Novel risk stratification parameters include Group 3/4 (non-WNT/non-SHH) methylation subgroups I–VIII or whole-chromosomal aberration (WCA) phenotypes. This study investigates the integration of clinical and molecular parameters to improve risk stratification of non-WNT/non-SHH MB. Non-WNT/non-SHH MB from the HIT2000 study and the HIT-MED registries were selected based on availability of DNA-methylation profiling data. MYC or MYCN amplification and WCA of chromosomes 7, 8, and 11 were inferred from methylation array-based copy number profiles. In total, 403 non-WNT/non-SHH MB were identified, 346/403 (86%) had a methylation class family Group 3/4 methylation score (classifier v11b6) ≥ 0.9, and 294/346 (73%) were included in the risk stratification modeling based on Group 3 or 4 score (v11b6) ≥ 0.8 and subgroup I–VIII score (mb_g34) ≥ 0.8. Group 3 MB (5y-PFS, survival estimation ± standard deviation: 41.4 ± 4.6%; 5y-OS: 48.8 ± 5.0%) showed poorer survival compared to Group 4 (5y-PFS: 68.2 ± 3.7%; 5y-OS: 84.8 ± 2.8%). Subgroups II (5y-PFS: 27.6 ± 8.2%) and III (5y-PFS: 37.5 ± 7.9%) showed the poorest and subgroup VI (5y-PFS: 76.6 ± 7.9%), VII (5y-PFS: 75.9 ± 7.2%), and VIII (5y-PFS: 66.6 ± 5.8%) the best survival. Multivariate analysis revealed subgroup in combination with WCA phenotype to best predict risk of progression and death. The integration of clinical (age, M and R status) and molecular (MYC/N, subgroup, WCA phenotype) variables identified a low-risk stratum with a 5y-PFS of 94 ± 5.7 and a very high-risk stratum with a 5y-PFS of 29 ± 6.1%. Validation in an international MB cohort confirmed the combined stratification scheme with 82.1 ± 6.0% 5y-PFS in the low and 47.5 ± 4.1% in very high-risk groups, and outperformed the clinical model. These newly identified clinico-molecular low-risk and very high-risk strata, accounting for 6%, and 21% of non-WNT/non-SHH MB patients, respectively, may improve future treatment stratification.
    Type of Medium: Online Resource
    ISSN: 0001-6322 , 1432-0533
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 1458410-4
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  • 5
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 25, No. 6 ( 2019-03-15), p. 1851-1866
    Abstract: Pilocytic astrocytoma is the most common childhood brain tumor, characterized by constitutive MAPK activation. MAPK signaling induces oncogene-induced senescence (OIS), which may cause unpredictable growth behavior of pilocytic astrocytomas. The senescence-associated secretory phenotype (SASP) has been shown to regulate OIS, but its role in pilocytic astrocytoma remains unknown. Experimental Design: The patient-derived pilocytic astrocytoma cell culture model, DKFZ-BT66, was used to demonstrate presence of the SASP and analyze its impact on OIS in pilocytic astrocytoma. The model allows for doxycycline-inducible switching between proliferation and OIS. Both states were studied using gene expression profiling (GEP), Western blot, ELISA, and cell viability testing. Primary pilocytic astrocytoma tumors were analyzed by GEP and multiplex assay. Results: SASP factors were upregulated in primary human and murine pilocytic astrocytoma and during OIS in DKFZ-BT66 cells. Conditioned medium induced growth arrest of proliferating pilocytic astrocytoma cells. The SASP factors IL1B and IL6 were upregulated in primary pilocytic astrocytoma, and both pathways were regulated during OIS in DKFZ-BT66. Stimulation with rIL1B but not rIL6 reduced growth of DKFZ-BT66 cells and induced the SASP. Anti-inflammatory treatment with dexamethasone induced regrowth of senescent cells and inhibited the SASP. Senescent DKFZ-BT66 cells responded to senolytic BCL2 inhibitors. High IL1B and SASP expression in pilocytic astrocytoma tumors was associated with favorable progression-free survival. Conclusions: We provide evidence for the SASP regulating OIS in pediatric pilocytic astrocytoma, with IL1B as a relevant mediator. SASP expression could enable prediction of progression in patients with pilocytic astrocytoma. Further investigation of the SASP driving the unpredictable growth of pilocytic astrocytomas, and its possible therapeutic application, is warranted.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
    detail.hit.zdb_id: 1225457-5
    detail.hit.zdb_id: 2036787-9
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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. 1935-1935
    Abstract: [Introduction: Solid tumors of the nervous system are the most common childhood cancers after leukemias. Even though we might be able to cure more and more patients, survivors still severely suffer long-term from the intensive treatments. Therefore, new treatment strategies are urgently needed. Orthotopic patient-derived xenograft (PDX) models are an excellent platform for biomarker and preclinical drug development. However, the rarity of pediatric brain tumors and the multitude of different sub entities hinder the generation of large collection of PDX models of specific entities within single institutions. In order to generate an overview about existing PDX models in the community, we started collecting established PDX models from various centers all over the world and performed extensive molecular characterization to precisely determine the distinct molecular subgroup and constellation of genetic alterations for each PDX model, and thus identify its targetable oncogenic drivers. Material and Methods: PDX models were established and maintained by dissociating tumor material into a single cell suspension and then orthotopically injecting it into the brain of immunodeficient animals. All PDX models and matching primary tumors (if available) have been analyzed by whole-exome and low-coverage whole-genome sequencing, as well as DNA methylation and gene expression profiling at the German Cancer Research Center (DKFZ). Results and Discussion: Thus far, we have collected and characterized 70 established PDX models from 6 ATRTs, 8 ependymomas, 16 high-grade gliomas, 38 medulloblastomas, and 2 CNS-PNETs. PDX models always retain their molecular subtype and in the vast majority of cases also the mutations and copy number alterations when compared to their primary tumors. Only in rare cases do we observe additional aberrations, which most likely represent outgrowths of subclones from the primary tumor. Analysis of our entire cohort identified an overrepresentation of the most aggressive tumor subtypes, but also subtypes which have not been available for preclinical testing before due to lack of genetically engineered mouse models or suitable cell lines, such as Group 4 medulloblastoma. Based on our current analysis, the PDX models within the community are not yet covering the entire heterogeneity within the patient population. As a follow up, we aim to make these models and data accessible in a user-friendly manner so that the community can use them for preclinical research. Conclusion: PDX models of pediatric brain tumors are very rare. Our molecular characterization allows researchers all over the world to find the right models for their specific scientific question. Therefore, this work will provide an unprecedented resource to study tumor biology and pave the way for improving treatment strategies for children with malignant brain tumors. Citation Format: Sebastian Brabetz, Susanne N. Gröbner, Huriye Seker-Cin, Florian Selt, Till Milde, David T. Jones, Madison T. Wise, Jessica M. Rusert, Kyle Pedro, Andy Strand, Olaf Witt, Sarah E. Leary, Xiao-Nan Li, Robert J. Wechsler-Reya, James M. Olson, Stefan M. Pfister, Marcel Kool. Molecular characterization of orthotopic patient-derived xenograft models of pediatric brain tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1935. doi:10.1158/1538-7445.AM2017-1935
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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