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  • 1
    In: Cell, Elsevier BV, Vol. 185, No. 12 ( 2022-06), p. 2184-2199.e16
    Type of Medium: Online Resource
    ISSN: 0092-8674
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
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  • 2
    In: Nature, Springer Science and Business Media LLC, Vol. 576, No. 7785 ( 2019-12-05), p. 112-120
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
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  • 3
    In: Nature Genetics, Springer Science and Business Media LLC, Vol. 53, No. 7 ( 2021-07), p. 1088-1096
    Type of Medium: Online Resource
    ISSN: 1061-4036 , 1546-1718
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
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  • 4
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2021
    In:  Cancer Research Vol. 81, No. 13_Supplement ( 2021-07-01), p. 2068-2068
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 81, No. 13_Supplement ( 2021-07-01), p. 2068-2068
    Abstract: Diffuse gliomas are highly aggressive brain tumors that invariably relapse despite treatment with chemo- and radiotherapy. Treatment with alkylating chemotherapy can drive tumors to develop a hypermutator phenotype. In contrast, the genomic effects of radiation therapy (RT) remain unknown. We analyzed the mutational spectra following treatment with ionizing radiation in sequencing data from 190 paired primary-recurrent gliomas from the Glioma Longitudinal Analysis (GLASS) dataset and 2116 post-treatment metastatic tumors from the Hartwig Medical Foundation. We identified a significant increase in the burden of small deletions following radiation therapy that was independent of other factors and was significantly associated with the clinically applied RT-dosage in Gy (P = 1e-02, multivariable log-linear regression). These novel deletions demonstrated distinct characteristics when compared to pre-existing deletions present prior to RT-treatment and deletions in RT-untreated tumors. Radiation therapy-acquired deletions were characterized by a larger deletion size (GLASS and metastatic cohort, P = 1.2e-02 and P = 8e-11, respectively; Mann-Whitney U test), an increased distance to repetitive DNA elements (P & lt; 2.2e-16, Kolmogorov-Smirnov test) and a reduction in microhomology at breakpoints (P = 3.2e-02, paired Wilcoxon signed-rank test). These observations suggested that canonical non-homologous end joining (c-NHEJ) was the preferred pathway for DNA double strand break repair of RT-induced DNA damage. Furthermore, radiotherapy resulted in frequent chromosomal deletions and significantly increased frequencies of CDKN2A homozygous deletions. Finally, a high burden of RT-associated deletions was associated with worse clinical outcomes (GLASS and metastatic cohort, P & lt; 1e-04 and P = 2.6e-02, respectively; Wald test). Our results collectively suggest that effective repair of RT-induced DNA damage is detrimental to patient survival and that inhibiting c-NHEJ may be a viable strategy for improving the cancer-killing effect of radiotherapy. Taken together, the identified genomic scars as a result of radiation therapy reflect a more aggressive tumor with increased levels of resistance to follow up treatments. Citation Format: Emre Kocakavuk, Kevin J. Anderson, Kevin C. Johnson, Frederick S. Varn, Samirkumar B. Amin, Erik P. Sulman, Floris P. Barthel, Roel G. Verhaak. Radiotherapy is associated with a deletion signature that contributes to poor cancer patient outcomes [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2068.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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  • 5
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 27, No. 8_Supplement ( 2021-04-15), p. PO-019-PO-019
    Abstract: Diffuse gliomas are highly aggressive brain tumors that invariably relapse despite treatment with chemo- and radiotherapy. Treatment with alkylating chemotherapy can drive tumors to develop a hypermutator phenotype. In contrast, the genomic effects of radiation therapy (RT) remain unknown. We analyzed the mutational spectra following treatment with ionizing radiation in sequencing data from 190 paired primary-recurrent gliomas from the Glioma Longitudinal Analysis (GLASS) dataset and 3693 post-treatment metastatic tumors from the Hartwig Medical Foundation (HMF). We identified a significant increase in the burden of small deletions following radiation therapy that was independent of other factors. These novel deletions demonstrated distinct characteristics when compared to pre-existing deletions present prior to RT-treatment and deletions in RT-untreated tumors. Radiation therapy-acquired deletions were characterized by a larger deletion size (GLASS and metastatic cohort, P=1.2e-02 and P=8e-11, respectively; Mann-Whitney U test), an increased distance to repetitive DNA elements (P & lt;2.2e-16, Kolmogorov-Smirnov test) and a reduction in microhomology at breakpoints (P=3.2e-02, paired Wilcoxon signed-rank test). These observations suggested that canonical non-homologous end joining (c-NHEJ) was the preferred pathway for DNA double strand break repair of RT-induced DNA damage. Furthermore, radiotherapy resulted in frequent chromosomal deletions and significantly increased frequencies of CDKN2A homozygous deletions. Finally, a high burden of RT-associated deletions was associated with worse clinical outcomes (GLASS and metastatic cohort, P & lt; 1e-04 and P = 2.6e-02, respectively; Wald test). Our results suggest that effective repair of RT-induced DNA damage is detrimental to patient survival and that inhibiting c-NHEJ may be a viable strategy for improving the cancer-killing effect of radiotherapy. Taken together, the identified genomic scars as a result of radiation therapy reflect a more aggressive tumor with increased levels of resistance to follow up treatments. Citation Format: Emre Kocakavuk, Kevin J. Anderson, Frederick S. Varn, Kevin C. Johnson, Samirkumar B. Amin, Erik. P. Sulman, Martijn Lolkema, Floris P. Barthel, Roel G.W. Verhaak. Radiotherapy in cancer is associated with a deletion signature that contributes to poor patient outcomes [abstract]. In: Proceedings of the AACR Virtual Special Conference on Radiation Science and Medicine; 2021 Mar 2-3. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(8_Suppl):Abstract nr PO-019.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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  • 6
    In: Cancer Cell, Elsevier BV, Vol. 37, No. 2 ( 2020-02), p. 243-257.e7
    Type of Medium: Online Resource
    ISSN: 1535-6108
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 2168-2168
    Abstract: Diffuse glioma is characterized by a poor prognosis and a universal resistance to therapy, though the evolutionary processes behind this resistance remain unclear. The Glioma Longitudinal Analysis (GLASS) Consortium has previously demonstrated that therapy-induced selective pressures shape the genetic evolution of glioma in a stochastic manner. However, single-cell studies have revealed that malignant glioma cells are highly plastic and transition their cell state in response to diverse challenges, including changes in the microenvironment and the administration of standard-of-care therapy. To interrogate the factors driving therapy resistance in diffuse glioma, we collected and analyzed RNA- and/or DNA-sequencing data from temporally separated tumor pairs of over 300 adult patients with IDH-wild-type or IDH-mutant glioma. In a subset of these tumor pairs, we additionally performed multiplex immunofluorescence to capture the spatial relationship between tumor cells and their microenvironment. Recurrent tumors exhibited diverse changes that were attributable to changes in histological features, somatic alterations, and microenvironment interactions. IDH-wild-type tumors overall were more invasive at recurrence and exhibited increased expression of neuronal signaling programs that reflected a possible role for neuronal interactions in promoting glioma progression. In contrast, recurrent IDH-mutant tumors exhibited a significant increase in proliferative expression programs that correlated with discrete genetic changes. Hypermutation and acquired CDKN2A homozygous deletions associated with an increase in proliferating stem-like malignant cells at recurrence in both glioma subtypes, reflecting active tumor expansion. A transition to the mesenchymal phenotype was associated with the presence of a specific myeloid cell state defined by unique ligand-receptor interactions with malignant cells, providing opportunities to target this transition through therapy. Collectively, our results uncover recurrence-associated changes in genetics and the microenvironment that can be targeted to shape disease progression following initial diagnosis. Citation Format: Frederick S. Varn, Kevin C. Johnson, Jan Martinek, Jason T. Huse, MacLean P. Nasrallah, Pieter Wesseling, Lee A. Cooper, Tathiane M. Malta, Taylor E. Wade, Thais S. Sabedot, Daniel J. Brat, Peter V. Gould, Adelheid Wöehrer, Kenneth Aldape, Azzam Ismail, Floris P. Barthel, Hoon Kim, Emre Kocakavuk, Nazia Ahmed, Kieron White, Santhosh Sivajothi, Indrani Datta, Jill S. Barnholtz-Sloan, Spyridon Bakas, Fulvio D'Angelo, Hui K. Gan, Luciano Garofano, Mustafa Khasraw, Simona Migliozzi, D. Ryan Ormond, Sun Ha Paek, Erwin G. Van Meir, Annemiek M. Walenkamp, Colin Watts, Michael Weller, Tobias Weiss, Karolina Palucka, Lucy F. Stead, Laila M. Poisson, Houtan Noushmehr, Antonio Iavarone, Roel G. Verhaak, The GLASS Consortium. Longitudinal analysis of diffuse glioma reveals cell state dynamics at recurrence associated with changes in genetics and the microenvironment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2168.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 8
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2018
    In:  Cancer Research Vol. 78, No. 13_Supplement ( 2018-07-01), p. 4355-4355
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 4355-4355
    Abstract: Adult diffuse gliomas are a diverse class of brain tumors that ultimately result in fatal malignant progression. The highly variable disease progression intervals and poor treatment response observed in glioma have been explained, in part, by the extent of heterogeneity within and across gliomas. Somatic structural variants such as deletions, duplications, insertions, inversions, translocations, and extrachromosomal DNA contribute to glioma heterogeneity by generating genomic instability, a hallmark of cancer genomes. While comprehensive approaches such as whole genome sequencing have begun to catalog the glioma structural variant landscape, the molecular mechanisms by which they contribute to tumor progression remains poorly understood. Here, we identified genomic rearrangements in the whole genomes of 147 gliomas and glioma cell lines. Among the whole-genome sequencing samples were 62 glioblastomas (TCGA), 52 low-grade gliomas (TCGA), and our own set of 33 patient-derived glioma sphere-forming cells. On average, glioblastomas demonstrated a greater frequency of high-confidence structural variants (162 per tumor) than low-grade gliomas (130 per tumor, P=0.02) with two glioblastomas displaying evidence of chromothripsis. Across the World Heath Organization's molecular classifications, the IDH-mutant 1p/19q co-deleted tumors demonstrated the lowest structural variant burden when compared with both IDH-wildtype and IDH-mutant non-co-deleted tumors. Structural variant frequencies were found to be similar between patient tumors and an independent set of patient-derived cell lines. Across all samples, a majority of the structural variant breakpoints were found in intronic (42%) and intergenic regions (55%) suggesting that rearrangements predominantly impact distal regulatory regions. To investigate the functional consequences of structural variants in these regions we integrated these samples with available RNA-sequencing and epigenetic data to characterize deregulated transcriptional circuits. Analyses examining the association between genomic rearrangements and chromatin states to determine potential mechanisms of oncogene activation in select tumor and cell line samples are now underway. Together, our study demonstrates the importance of integrating structural variant calls from whole genome sequencing with expression and epigenetic data to define functional genomic rearrangements. Citation Format: Kevin C. Johnson, Floris P. Barthel, Ming Tang, Samirkumar Amin, Qianghu Wang, Erik P. Sulman, Kunal Rai, Roel G.W Verhaak. Identification and functional characterization of glioma structural variants [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 1 4-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4355.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 9
    In: Molecular Case Studies, Cold Spring Harbor Laboratory, Vol. 6, No. 1 ( 2020-02), p. a004671-
    Abstract: We discuss the molecular evolution of gliosarcoma, a mesenchymal type of glioblastoma (GBM), using the case of a 37-yr-old woman who developed two recurrences and an extracranial metastasis. She was initially diagnosed with isocitrate dehydrogenase (IDH) wild-type gliosarcoma in the frontal lobe and treated with surgery followed by concurrent radiotherapy with temozolomide. Five months later the tumor recurred in the left frontal lobe, outside the initially resected area, and was treated with further surgery and radiotherapy. Six months later the patient developed a second left frontal recurrence and was again treated with surgery and radiotherapy. Six weeks later, further recurrence was observed in the brain and bone, and biopsy confirmed metastases in the pelvic bones. To understand the clonal relationships between the four tumor instances and the origin of metastasis, we performed whole-genome sequencing of the intracranial tumors and the tumor located in the right iliac bone. We compared their mutational and copy-number profiles and inferred the clonal phylogeny. The tumors harbored shared alterations in GBM driver genes, including mutations in TP53 , NF1 , and RB1 , and CDKN2A deletion. Whole-genome doubling was identified in the first recurrence and the extracranial metastasis. Comparisons of the metastatic to intracranial tumors highlighted a high similarity in molecular profile but contrasting evidence regarding the origin of the metastasis. Subclonal reconstruction suggested a parallel evolution of the recurrent tumors, and that the metastatic tumor was largely derived from the first recurrence. We conclude that metastasis in glioma can be a late event in tumorigenesis.
    Type of Medium: Online Resource
    ISSN: 2373-2865 , 2373-2873
    Language: English
    Publisher: Cold Spring Harbor Laboratory
    Publication Date: 2020
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 81, No. 13_Supplement ( 2021-07-01), p. 3147-3147
    Abstract: Diffuse gliomas are malignant neoplasms originating in the parenchyma of the central nervous system whose cellular origin remains elusive. To determine the cellular and spatiotemporal origin of gliomas, we devised a three-dimensional reconstruction of tumor lineage. We used neuronavigation to acquire eight to twelve image-guided and spatially separated stereotactic biopsy samples from 16 adult patients with a diffuse glioma, which we characterized using DNA methylation arrays. A total of 133 samples were obtained from regions with and without imaging abnormalities. Methylation profiles were analyzed to construct phyloepigenetic trees and subsequently projected on 3D image-derived tumor maps. Lineage analysis of these evolutionary trees indicated that the sampled gliomas largely evolved stochastically, suggesting that critical tumor drivers were acquired early in time. These results were further validated using 102 multi-region samples from 24 independent patients. Patristic (evolutionary) and cartesian (spatial) distances between pairs of tumor samples from the same patient demonstrated strong correlations, suggesting that this information could be used to determine trajectories of tumor evolution. Evolutionary and spatial distance metrics were combined with histologically obtained and computationally quantified cellularity and proliferation rates to model the direction and magnitude of tumor growth. In order to relate tumor lineage to brain anatomy we mapped patient imaging to a reference space (Montreal Neurological Institute, MNI). Samples mapping to regions of white matter were earlier in tumor lineage when compared to samples mapping to regions of gray matter, suggesting that white matter involvement is an early feature of tumor development. Samples early in tumor lineage were located closer to the ventricles when compared with samples late in lineage, suggesting that tumors grow outward from the ventricular lining. Finally, we used a tumor probability map constructed using imaging from over 500 unrelated patients to associate lineage to tumor probability. Results from this analysis indicated that periventricular areas of high tumor probability coincided with samples early in tumor lineage and cortical areas of low tumor probability coincided with samples late in tumor lineage. Taken together, our phylogeographic analysis of tumor development supports a neural progenitor cell-of-origin model, where neural stem cells in the subventricular zone of the lateral ventricles give rise to mature tumors. Citation Format: Floris P. Barthel, Niels Verburg, Russell Rockne, Roelant Eijgelaar, Kevin Anderson, Domenique Müller, Sergio Branciamore, Kevin C. Johnson, Pieter Wesseling, Philip C. de Witt Hamer, Roel G. Verhaak. Stereotactic image-guided epigenome profiling reveals a neural stem cell evolutionary origin of diffuse gliomas [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 3147.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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