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Nasser AM, Melamed L, Wetzel EA, Chang JCC, Nagashima H, Kitagawa Y, Muzyka L, Wakimoto H, Cahill DP, Miller JJ. CDKN2A/B Homozygous Deletion Sensitizes IDH-Mutant Glioma to CDK4/6 Inhibition. Clin Cancer Res 2024; 30:2996-3005. [PMID: 38718141 PMCID: PMC11250907 DOI: 10.1158/1078-0432.ccr-24-0562] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 04/10/2024] [Accepted: 05/06/2024] [Indexed: 07/16/2024]
Abstract
PURPOSE Treatment paradigms for isocitrate dehydrogenase (IDH)-mutant gliomas are rapidly evolving. Although typically indolent and responsive to initial treatment, these tumors invariably recur at a higher grade and require salvage treatment. Homozygous deletion of the tumor suppressor gene CDKN2A/B frequently emerges at recurrence in these tumors, driving poor patient outcomes. We investigated the effect of CDK-Rb pathway blockade on IDH-mutant glioma growth in vitro and in vivo using CDK4/6 inhibitors (CDKi). EXPERIMENTAL DESIGN Cell viability, proliferation assays, and flow cytometry were used to examine the pharmacologic effect of two distinct CDKi, palbociclib and abemaciclib, in multiple patient-derived IDH-mutant glioma lines. Isogenic models were used to directly investigate the influence of CDKN2A/B status on CDKi sensitivity. Orthotopic xenograft tumor models were used to examine the efficacy and tolerability of CDKi in vivo. RESULTS CDKi treatment leads to decreased cell viability and proliferative capacity in patient-derived IDH-mutant glioma lines, coupled with enrichment of cells in the G1 phase. CDKN2A inactivation sensitizes IDH-mutant glioma to CDKi in both endogenous and isogenic models with engineered CDKN2A deletion. CDK4/6 inhibitor administration improves survival in orthotopically implanted IDH-mutant glioma models. CONCLUSIONS IDH-mutant gliomas with deletion of CDKN2A/B are sensitized to CDK4/6 inhibitors. These results support the investigation of the use of these agents in a clinical setting.
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Affiliation(s)
- Ali M. Nasser
- Translational Neuro-Oncology Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Lisa Melamed
- Translational Neuro-Oncology Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Ethan A. Wetzel
- Translational Neuro-Oncology Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Jenny Chia-Chen Chang
- Translational Neuro-Oncology Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Hiroaki Nagashima
- Translational Neuro-Oncology Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Kobe University Graduate School of Medicine, Kobe, Japan
| | - Yosuke Kitagawa
- Translational Neuro-Oncology Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Logan Muzyka
- Translational Neuro-Oncology Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Hiroaki Wakimoto
- Translational Neuro-Oncology Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Daniel P. Cahill
- Translational Neuro-Oncology Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Julie J. Miller
- Translational Neuro-Oncology Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Stephen E. and Catherine Pappas Center for Neuro-Oncology, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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2
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Webb LM, Neth BJ, Raghunathan A, Greipp PT, Ida CM, Carabenciov ID, Ruff MW. A Case of Long-Term Survival After Glioblastoma, IDH-Wild Type. Neurologist 2024; 29:254-258. [PMID: 38797928 DOI: 10.1097/nrl.0000000000000564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
INTRODUCTION Glioblastoma is a uniformly lethal primary central nervous system neoplasm. Despite the increased understanding of its pathophysiology and treatment advancements, median overall survival for patients with glioblastoma, IDH-wild type remains 14 to 21 months from diagnosis. CASE REPORT We present the case of a 48-year-old female who presented with a focal seizure and was found to have a right frontal lobe mass on the brain magnetic resonance imaging. She underwent gross total resection and received a histological diagnosis of glioblastoma. She received radiotherapy and 6 cycles of carmustine (BCNU). Seventeen months later, she developed left hemiparesis. Imaging was concerning for tumor progression, and she was treated with 1 cycle of mechlorethamine, vincristine (oncovin), procarbazine, and prednisone (MOPP). Subsequent surveillance imaging demonstrated a therapeutic response. Twenty-seven years after her glioblastoma diagnosis, she developed status epilepticus and died from respiratory failure. Neuropathology on autopsy demonstrated extensive treatment-related changes but no evidence of recurrent glioblastoma. Genomic testing performed over 30 years after her original diagnosis revealed a profile diagnostic of glioblastoma, IDH-wild type per 2021 World Health Organization criteria. CONCLUSIONS This patient is one of the longest-known survivors of glioblastoma, IDH-wild type, with pathologic confirmation of glioblastoma at the time of her resection and no evidence of residual disease 26 years after her last treatment. She presented with multiple factors associated with long-term glioblastoma survivorship, including female sex, young age, high Karnofsky score, and multimodal therapy. This case shows that long-term survival after glioblastoma diagnosis is possible and likely mediated through a combination of individual, tumor, and treatment factors.
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Affiliation(s)
| | | | - Aditya Raghunathan
- Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN
| | - Patricia T Greipp
- Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN
| | - Cristiane M Ida
- Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN
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3
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Ülgen E, Gerlevik U, Gerlevik S, Oktay Y, Sezerman OU, Turcan Ş, Ozduman K. A microdeletion event at 19q13.43 in IDH-mutant astrocytomas is strongly correlated with MYC overexpression. Acta Neuropathol Commun 2024; 12:95. [PMID: 38877600 PMCID: PMC11177509 DOI: 10.1186/s40478-024-01811-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Accepted: 06/02/2024] [Indexed: 06/16/2024] Open
Abstract
MYC dysregulation is pivotal in the onset and progression of IDH-mutant gliomas, mostly driven by copy-number alterations, regulatory element alterations, or epigenetic changes. Our pilot analysis uncovered instances of relative MYC overexpression without alterations in the proximal MYC network (PMN), prompting a deeper investigation into potential novel oncogenic mechanisms. Analysing comprehensive genomics profiles of 236 "IDH-mutant 1p/19q non-co-deleted" lower-grade gliomas from The Cancer Genome Atlas, we identified somatic genomic alterations within the PMN. In tumours without PMN-alterations but with MYC-overexpression, genes correlated with MYC-overexpression were identified. Our analyses yielded that 86/236 of astrocytomas exhibited no PMN-alterations, a subset of 21/86 displaying relative MYC overexpression. Within this subset, we discovered 42 genes inversely correlated with relative MYC expression, all on 19q. Further analysis pinpointed a minimal common region at 19q13.43, encompassing 15 genes. The inverse correlations of these 15 genes with relative MYC overexpression were re-confirmed using independent scRNAseq data. Further, the micro-deleted astrocytoma subset displayed significantly higher genomic instability compared to WT cases, but lower instability compared to PMN-hit cases. This newly identified 19q micro-deletion represents a potential novel mechanism underlying MYC dysregulation in astrocytomas. Given the prominence of 19q loss in IDH-mutant gliomas, our findings bear significant implications for understanding gliomagenesis.
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Affiliation(s)
- Ege Ülgen
- Department of Biostatistics and Medical Informatics, School of Medicine, Acibadem University, Istanbul, Turkey
- Department of Neurosurgery, School of Medicine, Acibadem University, 34752, Istanbul, Turkey
| | - Umut Gerlevik
- Department of Biochemistry, University of Oxford, Oxford, UK
- Faculty of Medicine, Ludwig Maximilian University of Munich, Munich, Germany
| | - Sıla Gerlevik
- Faculty of Life Sciences and Medicine, Comprehensive Cancer Centre, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK
| | - Yavuz Oktay
- Izmir Biomedicine and Genome Center, Izmir, Turkey
- Department of Medical Biology, Faculty of Medicine, Dokuz Eylül University, Izmir, Turkey
| | - Osman Uğur Sezerman
- Department of Biostatistics and Medical Informatics, School of Medicine, Acibadem University, Istanbul, Turkey
| | - Şevin Turcan
- Neurology Clinic and National Center for Tumor Diseases, Heidelberg University Hospital and Heidelberg University, Heidelberg, Germany
| | - Koray Ozduman
- Department of Neurosurgery, School of Medicine, Acibadem University, 34752, Istanbul, Turkey.
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4
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Squalli Houssaini A, Lamrabet S, Nshizirungu JP, Senhaji N, Sekal M, Karkouri M, Bennis S. Glioblastoma Vaccines as Promising Immune-Therapeutics: Challenges and Current Status. Vaccines (Basel) 2024; 12:655. [PMID: 38932383 PMCID: PMC11209492 DOI: 10.3390/vaccines12060655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/02/2024] [Accepted: 05/08/2024] [Indexed: 06/28/2024] Open
Abstract
Glioblastoma (GBM) is the most common and aggressive malignant brain tumor. Standard treatments including surgical resection, radiotherapy, and chemotherapy, have failed to significantly improve the prognosis of glioblastoma patients. Currently, immunotherapeutic approaches based on vaccines, chimeric antigen-receptor T-cells, checkpoint inhibitors, and oncolytic virotherapy are showing promising results in clinical trials. The combination of different immunotherapeutic approaches is proving satisfactory and promising. In view of the challenges of immunotherapy and the resistance of glioblastomas, the treatment of these tumors requires further efforts. In this review, we explore the obstacles that potentially influence the efficacy of the response to immunotherapy and that should be taken into account in clinical trials. This article provides a comprehensive review of vaccine therapy for glioblastoma. In addition, we identify the main biomarkers, including isocitrate dehydrogenase, epidermal growth factor receptor, and telomerase reverse transcriptase, known as potential immunotherapeutic targets in glioblastoma, as well as the current status of clinical trials. This paper also lists proposed solutions to overcome the obstacles facing immunotherapy in glioblastomas.
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Affiliation(s)
- Asmae Squalli Houssaini
- Laboratory of Biomedical and Translational Research, Faculty of Medicine, Pharmacy and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez 30070, Morocco;
| | - Salma Lamrabet
- Laboratory of Biomedical and Translational Research, Faculty of Medicine, Pharmacy and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez 30070, Morocco;
| | - Jean Paul Nshizirungu
- Biology Department, School of Science, College of Science and Technology, University of Rwanda, Kigali P.O. Box 3900, Rwanda;
| | - Nadia Senhaji
- Department of Biology, Faculty of Sciences, Moulay Ismail University, Meknes 50000, Morocco;
| | - Mohammed Sekal
- Laboratory of Epidemiology and Research in Health Sciences, Faculty of Medicine, Pharmacy and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez 30070, Morocco;
| | - Mehdi Karkouri
- Department of Pathological Anatomy, Ibn Rochd University Hospital of Casablanca, Casablanca 20250, Morocco;
- Laboratory of Cellular and molecular Pathology, Faculty of Medicine and Pharmacy of Casablanca, Hassan II University, Casablanca 20360, Morocco
| | - Sanae Bennis
- Laboratory of Biomedical and Translational Research, Faculty of Medicine, Pharmacy and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez 30070, Morocco;
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5
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Shi Q, Xue C, Zeng Y, Yuan X, Chu Q, Jiang S, Wang J, Zhang Y, Zhu D, Li L. Notch signaling pathway in cancer: from mechanistic insights to targeted therapies. Signal Transduct Target Ther 2024; 9:128. [PMID: 38797752 PMCID: PMC11128457 DOI: 10.1038/s41392-024-01828-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 03/31/2024] [Accepted: 04/15/2024] [Indexed: 05/29/2024] Open
Abstract
Notch signaling, renowned for its role in regulating cell fate, organ development, and tissue homeostasis across metazoans, is highly conserved throughout evolution. The Notch receptor and its ligands are transmembrane proteins containing epidermal growth factor-like repeat sequences, typically necessitating receptor-ligand interaction to initiate classical Notch signaling transduction. Accumulating evidence indicates that the Notch signaling pathway serves as both an oncogenic factor and a tumor suppressor in various cancer types. Dysregulation of this pathway promotes epithelial-mesenchymal transition and angiogenesis in malignancies, closely linked to cancer proliferation, invasion, and metastasis. Furthermore, the Notch signaling pathway contributes to maintaining stem-like properties in cancer cells, thereby enhancing cancer invasiveness. The regulatory role of the Notch signaling pathway in cancer metabolic reprogramming and the tumor microenvironment suggests its pivotal involvement in balancing oncogenic and tumor suppressive effects. Moreover, the Notch signaling pathway is implicated in conferring chemoresistance to tumor cells. Therefore, a comprehensive understanding of these biological processes is crucial for developing innovative therapeutic strategies targeting Notch signaling. This review focuses on the research progress of the Notch signaling pathway in cancers, providing in-depth insights into the potential mechanisms of Notch signaling regulation in the occurrence and progression of cancer. Additionally, the review summarizes pharmaceutical clinical trials targeting Notch signaling for cancer therapy, aiming to offer new insights into therapeutic strategies for human malignancies.
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Affiliation(s)
- Qingmiao Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Chen Xue
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Yifan Zeng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Xin Yuan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Qingfei Chu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Shuwen Jiang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Jinzhi Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Yaqi Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Danhua Zhu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
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6
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Ho WM, Chen CY, Chiang TW, Chuang TJ. A longer time to relapse is associated with a larger increase in differences between paired primary and recurrent IDH wild-type glioblastomas at both the transcriptomic and genomic levels. Acta Neuropathol Commun 2024; 12:77. [PMID: 38762464 PMCID: PMC11102269 DOI: 10.1186/s40478-024-01790-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 05/05/2024] [Indexed: 05/20/2024] Open
Abstract
Glioblastoma (GBM) is the most common malignant brain tumor in adults, which remains incurable and often recurs rapidly after initial therapy. While large efforts have been dedicated to uncover genomic/transcriptomic alternations associated with the recurrence of GBMs, the evolutionary trajectories of matched pairs of primary and recurrent (P-R) GBMs remain largely elusive. It remains challenging to identify genes associated with time to relapse (TTR) and construct a stable and effective prognostic model for predicting TTR of primary GBM patients. By integrating RNA-sequencing and genomic data from multiple datasets of patient-matched longitudinal GBMs of isocitrate dehydrogenase wild-type (IDH-wt), here we examined the associations of TTR with heterogeneities between paired P-R GBMs in gene expression profiles, tumor mutation burden (TMB), and microenvironment. Our results revealed a positive correlation between TTR and transcriptomic/genomic differences between paired P-R GBMs, higher percentages of non-mesenchymal-to-mesenchymal transition and mesenchymal subtype for patients with a short TTR than for those with a long TTR, a high correlation between paired P-R GBMs in gene expression profiles and TMB, and a negative correlation between the fitting level of such a paired P-R GBM correlation and TTR. According to these observations, we identified 55 TTR-associated genes and thereby constructed a seven-gene (ZSCAN10, SIGLEC14, GHRHR, TBX15, TAS2R1, CDKL1, and CD101) prognostic model for predicting TTR of primary IDH-wt GBM patients using univariate/multivariate Cox regression analyses. The risk scores estimated by the model were significantly negatively correlated with TTR in the training set and two independent testing sets. The model also segregated IDH-wt GBM patients into two groups with significantly divergent progression-free survival outcomes and showed promising performance for predicting 1-, 2-, and 3-year progression-free survival rates in all training and testing sets. Our findings provide new insights into the molecular understanding of GBM progression at recurrence and potential targets for therapeutic treatments.
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Affiliation(s)
- Wei-Min Ho
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
- Ph.D. Program in Translational Medicine, National Taiwan University and Academia Sinica, Taipei, Taiwan
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- School of Medicine, National Tsing Hua University, Hsinchu, Taiwan
| | - Chia-Ying Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Tai-Wei Chiang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Trees-Juen Chuang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan.
- Ph.D. Program in Translational Medicine, National Taiwan University and Academia Sinica, Taipei, Taiwan.
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7
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Kitagawa Y, Kobayashi A, Cahill DP, Wakimoto H, Tanaka S. Molecular biology and novel therapeutics for IDH mutant gliomas: The new era of IDH inhibitors. Biochim Biophys Acta Rev Cancer 2024; 1879:189102. [PMID: 38653436 DOI: 10.1016/j.bbcan.2024.189102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/25/2024] [Accepted: 04/16/2024] [Indexed: 04/25/2024]
Abstract
Gliomas with Isocitrate dehydrogenase (IDH) mutation represent a discrete category of primary brain tumors with distinct and unique characteristics, behaviors, and clinical disease outcomes. IDH mutations lead to aberrant high-level production of the oncometabolite D-2-hydroxyglutarate (D-2HG), which act as a competitive inhibitor of enzymes regulating epigenetics, signaling pathways, metabolism, and various other processes. This review summarizes the significance of IDH mutations, resulting upregulation of D-2HG and the associated molecular pathways in gliomagenesis. With the recent finding of clinically effective IDH inhibitors in these gliomas, this article offers a comprehensive overview of the new era of innovative therapeutic approaches based on mechanistic rationales, encompassing both completed and ongoing clinical trials targeting gliomas with IDH mutations.
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Affiliation(s)
- Yosuke Kitagawa
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, 02114 Boston, MA, USA; Translational Neuro-Oncology Laboratory, Massachusetts General Hospital, Harvard Medical School, 02114 Boston, MA, USA; Department of Neurosurgery, Graduate School of Medicine, The University of Tokyo, 1138655 Bunkyo-ku, Tokyo, Japan
| | - Ami Kobayashi
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, 02115 Boston, MA, USA
| | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, 02114 Boston, MA, USA; Translational Neuro-Oncology Laboratory, Massachusetts General Hospital, Harvard Medical School, 02114 Boston, MA, USA
| | - Hiroaki Wakimoto
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, 02114 Boston, MA, USA; Translational Neuro-Oncology Laboratory, Massachusetts General Hospital, Harvard Medical School, 02114 Boston, MA, USA.
| | - Shota Tanaka
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 7008558, Okayama, Japan
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8
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Hana T, Mukasa A, Nomura M, Nagae G, Yamamoto S, Tatsuno K, Ueda H, Fukuda S, Umeda T, Tanaka S, Nejo T, Kitagawa Y, Yamazawa E, Takahashi S, Koike T, Kushihara Y, Takami H, Takayanagi S, Aburatani H, Saito N. Region-specific DNA hydroxymethylation along the malignant progression of IDH-mutant gliomas. Cancer Sci 2024; 115:1706-1717. [PMID: 38433527 PMCID: PMC11093199 DOI: 10.1111/cas.16127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 02/14/2024] [Accepted: 02/16/2024] [Indexed: 03/05/2024] Open
Abstract
The majority of low-grade isocitrate dehydrogenase-mutant (IDHmt) gliomas undergo malignant progression (MP), but their underlying mechanism remains unclear. IDHmt gliomas exhibit global DNA methylation, and our previous report suggested that MP could be partly attributed to passive demethylation caused by accelerated cell cycles. However, during MP, there is also active demethylation mediated by ten-eleven translocation, such as DNA hydroxymethylation. Hydroxymethylation is reported to potentially contribute to gene expression regulation, but its role in MP remains under investigation. Therefore, we conducted a comprehensive analysis of hydroxymethylation during MP of IDHmt astrocytoma. Five primary/malignantly progressed IDHmt astrocytoma pairs were analyzed with oxidative bisulfite and the Infinium EPIC methylation array, detecting 5-hydroxymethyl cytosine at over 850,000 locations for region-specific hydroxymethylation assessment. Notably, we observed significant sharing of hydroxymethylated genomic regions during MP across the samples. Hydroxymethylated CpGs were enriched in open sea and intergenic regions (p < 0.001), and genes undergoing hydroxymethylation were significantly associated with cancer-related signaling pathways. RNA sequencing data integration identified 91 genes with significant positive/negative hydroxymethylation-expression correlations. Functional analysis suggested that positively correlated genes are involved in cell-cycle promotion, while negatively correlated ones are associated with antineoplastic functions. Analyses of The Cancer Genome Atlas clinical data on glioma were in line with these findings. Motif-enrichment analysis suggested the potential involvement of the transcription factor KLF4 in hydroxymethylation-based gene regulation. Our findings shed light on the significance of region-specific DNA hydroxymethylation in glioma MP and suggest its potential role in cancer-related gene expression and IDHmt glioma malignancy.
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Affiliation(s)
- Taijun Hana
- Department of Neurosurgery, Graduate School of MedicineThe University of TokyoTokyoJapan
- Genome Science & Medicine Laboratory, Research Center for Advanced Science and TechnologyThe University of TokyoTokyoJapan
| | - Akitake Mukasa
- Department of Neurosurgery, Graduate School of Medical SciencesKumamoto UniversityKumamotoJapan
| | - Masashi Nomura
- Department of Neurosurgery, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Genta Nagae
- Genome Science & Medicine Laboratory, Research Center for Advanced Science and TechnologyThe University of TokyoTokyoJapan
| | - Shogo Yamamoto
- Genome Science & Medicine Laboratory, Research Center for Advanced Science and TechnologyThe University of TokyoTokyoJapan
| | - Kenji Tatsuno
- Genome Science & Medicine Laboratory, Research Center for Advanced Science and TechnologyThe University of TokyoTokyoJapan
| | - Hiroki Ueda
- Genome Science & Medicine Laboratory, Research Center for Advanced Science and TechnologyThe University of TokyoTokyoJapan
- Advanced Data Science Division, Research Center for Advanced Science and TechnologyThe University of TokyoTokyoJapan
| | - Shiro Fukuda
- Genome Science & Medicine Laboratory, Research Center for Advanced Science and TechnologyThe University of TokyoTokyoJapan
| | - Takayoshi Umeda
- Genome Science & Medicine Laboratory, Research Center for Advanced Science and TechnologyThe University of TokyoTokyoJapan
| | - Shota Tanaka
- Department of Neurosurgery, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Takahide Nejo
- Department of Neurosurgery, Graduate School of MedicineThe University of TokyoTokyoJapan
- Department of Neurological SurgeryUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Yosuke Kitagawa
- Department of Neurosurgery, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Erika Yamazawa
- Department of Neurosurgery, Graduate School of MedicineThe University of TokyoTokyoJapan
- Genome Science & Medicine Laboratory, Research Center for Advanced Science and TechnologyThe University of TokyoTokyoJapan
| | - Satoshi Takahashi
- Department of Neurosurgery, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Tsukasa Koike
- Department of Neurosurgery, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Yoshihiro Kushihara
- Department of Neurosurgery, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Hirokazu Takami
- Department of Neurosurgery, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Shunsaku Takayanagi
- Department of Neurosurgery, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Hiroyuki Aburatani
- Genome Science & Medicine Laboratory, Research Center for Advanced Science and TechnologyThe University of TokyoTokyoJapan
| | - Nobuhito Saito
- Department of Neurosurgery, Graduate School of MedicineThe University of TokyoTokyoJapan
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Qiu L, Zhao L, Zhao W, Zhao J. Dual-space disentangled-multimodal network (DDM-net) for glioma diagnosis and prognosis with incomplete pathology and genomic data. Phys Med Biol 2024; 69:085028. [PMID: 38595094 DOI: 10.1088/1361-6560/ad37ec] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 03/26/2024] [Indexed: 04/11/2024]
Abstract
Objective. Effective fusion of histology slides and molecular profiles from genomic data has shown great potential in the diagnosis and prognosis of gliomas. However, it remains challenging to explicitly utilize the consistent-complementary information among different modalities and create comprehensive representations of patients. Additionally, existing researches mainly focus on complete multi-modality data and usually fail to construct robust models for incomplete samples.Approach. In this paper, we propose adual-space disentangled-multimodal network (DDM-net)for glioma diagnosis and prognosis. DDM-net disentangles the latent features generated by two separate variational autoencoders (VAEs) into common and specific components through a dual-space disentangled approach, facilitating the construction of comprehensive representations of patients. More importantly, DDM-net imputes the unavailable modality in the latent feature space, making it robust to incomplete samples.Main results. We evaluated our approach on the TCGA-GBMLGG dataset for glioma grading and survival analysis tasks. Experimental results demonstrate that the proposed method achieves superior performance compared to state-of-the-art methods, with a competitive AUC of 0.952 and a C-index of 0.768.Significance. The proposed model may help the clinical understanding of gliomas and can serve as an effective fusion model with multimodal data. Additionally, it is capable of handling incomplete samples, making it less constrained by clinical limitations.
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Affiliation(s)
- Lu Qiu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - Lu Zhao
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - Wangyuan Zhao
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - Jun Zhao
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
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10
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Liu J, Hu S, Jiang H, Cui Y. Case report: Temozolomide induced hypermutation indicates an unfavorable response to immunotherapy in patient with gliomas. Front Immunol 2024; 15:1369972. [PMID: 38690285 PMCID: PMC11059094 DOI: 10.3389/fimmu.2024.1369972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Accepted: 03/25/2024] [Indexed: 05/02/2024] Open
Abstract
Background Temozolomide (TMZ) is a key component in the treatment of gliomas. Hypermutation induced by TMZ can be encountered in routine clinical practice, and its significance is progressively gaining recognition. However, the relationship between TMZ-induced hypermutation and the immunologic response remains controversial. Case presentation We present the case of a 38-year-old male patient who underwent five surgeries for glioma. Initially diagnosed with IDH-mutant astrocytoma (WHO grade 2) during the first two surgeries, the disease progressed to grade 4 in subsequent interventions. Prior to the fourth surgery, the patient received 3 cycles of standard TMZ chemotherapy and 9 cycles of dose-dense TMZ regimens. Genomic and immunologic analyses of the tumor tissue obtained during the fourth surgery revealed a relatively favorable immune microenvironment, as indicated by an immunophenoscore of 5, suggesting potential benefits from immunotherapy. Consequently, the patient underwent low-dose irradiation combined with immunoadjuvant treatment. After completing 4 cycles of immunotherapy, the tumor significantly shrank, resulting in a partial response. However, after a 6-month duration of response, the patient experienced disease progression. Subsequent analysis of the tumor tissue obtained during the fifth surgery revealed the occurrence of hypermutation, with mutation signature analysis attributing TMZ treatment as the primary cause. Unfortunately, the patient succumbed shortly thereafter, with a survival period of 126 months. Conclusion Patients subjected to a prolonged regimen of TMZ treatment may exhibit heightened vulnerability to hypermutation. This hypermutation induced by TMZ holds the potential to function as an indicator associated with unfavorable response to immunotherapy in gliomas.
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Affiliation(s)
- Jiapeng Liu
- Department of Neurosurgery, Peking University Third Hospital, Peking University, Beijing, China
| | - Shuli Hu
- Department of Neurosurgery, Peking University Third Hospital, Peking University, Beijing, China
| | - Haihui Jiang
- Department of Neurosurgery, Peking University Third Hospital, Peking University, Beijing, China
| | - Yong Cui
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Neurological Diseases, Center of Brain Tumor, Beijing Institute for Brain Disorders and Beijing Key Laboratory of Brain Tumor, Beijing, China
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11
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Harachi M, Masui K, Shimizu E, Murakami K, Onizuka H, Muragaki Y, Kawamata T, Nakayama H, Miyata M, Komori T, Cavenee WK, Mischel PS, Kurata A, Shibata N. DNA hypomethylator phenotype reprograms glutamatergic network in receptor tyrosine kinase gene-mutated glioblastoma. Acta Neuropathol Commun 2024; 12:40. [PMID: 38481314 PMCID: PMC10935831 DOI: 10.1186/s40478-024-01750-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 02/25/2024] [Indexed: 03/17/2024] Open
Abstract
DNA methylation is crucial for chromatin structure and gene expression and its aberrancies, including the global "hypomethylator phenotype", are associated with cancer. Here we show that an underlying mechanism for this phenotype in the large proportion of the highly lethal brain tumor glioblastoma (GBM) carrying receptor tyrosine kinase gene mutations, involves the mechanistic target of rapamycin complex 2 (mTORC2), that is critical for growth factor signaling. In this scenario, mTORC2 suppresses the expression of the de novo DNA methyltransferase (DNMT3A) thereby inducing genome-wide DNA hypomethylation. Mechanistically, mTORC2 facilitates a redistribution of EZH2 histone methyltransferase into the promoter region of DNMT3A, and epigenetically represses the expression of DNA methyltransferase. Integrated analyses in both orthotopic mouse models and clinical GBM samples indicate that the DNA hypomethylator phenotype consistently reprograms a glutamate metabolism network, eventually driving GBM cell invasion and survival. These results nominate mTORC2 as a novel regulator of DNA hypomethylation in cancer and an exploitable target against cancer-promoting epigenetics.
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Affiliation(s)
- Mio Harachi
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
- Laboratory for Developmental Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
| | - Kenta Masui
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan.
| | - Erika Shimizu
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Kumiko Murakami
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Hiromi Onizuka
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Yoshihiro Muragaki
- Department of Neurosurgery, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
- Center for Advanced Medical Engineering Research and Development, Kobe University, Kobe, Hyogo, 650-0047, Japan
| | - Takakazu Kawamata
- Department of Neurosurgery, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Hisako Nakayama
- Department of Physiology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Mariko Miyata
- Department of Physiology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Takashi Komori
- Department of Neuropathology, Tokyo Metropolitan Neurological Hospital, Musashinodai, Tokyo, 156-8506, Japan
| | - Webster K Cavenee
- Ludwig Institute for Cancer Research, University of California San Diego, La Jolla, CA, 92093, USA
| | - Paul S Mischel
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Atsushi Kurata
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Noriyuki Shibata
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
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12
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Malta TM, Sabedot TS, Morosini NS, Datta I, Garofano L, Vallentgoed W, Varn FS, Aldape K, D'Angelo F, Bakas S, Barnholtz-Sloan JS, Gan HK, Hasanain M, Hau AC, Johnson KC, Cazacu S, deCarvalho AC, Khasraw M, Kocakavuk E, Kouwenhoven MC, Migliozzi S, Niclou SP, Niers JM, Ormond DR, Paek SH, Reifenberger G, Sillevis Smitt PA, Smits M, Stead LF, van den Bent MJ, Van Meir EG, Walenkamp A, Weiss T, Weller M, Westerman BA, Ylstra B, Wesseling P, Lasorella A, French PJ, Poisson LM, Verhaak RG, Iavarone A, Noushmehr H. The Epigenetic Evolution of Glioma Is Determined by the IDH1 Mutation Status and Treatment Regimen. Cancer Res 2024; 84:741-756. [PMID: 38117484 PMCID: PMC10911804 DOI: 10.1158/0008-5472.can-23-2093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/15/2023] [Accepted: 12/13/2023] [Indexed: 12/21/2023]
Abstract
Tumor adaptation or selection is thought to underlie therapy resistance in glioma. To investigate longitudinal epigenetic evolution of gliomas in response to therapeutic pressure, we performed an epigenomic analysis of 132 matched initial and recurrent tumors from patients with IDH-wildtype (IDHwt) and IDH-mutant (IDHmut) glioma. IDHwt gliomas showed a stable epigenome over time with relatively low levels of global methylation. The epigenome of IDHmut gliomas showed initial high levels of genome-wide DNA methylation that was progressively reduced to levels similar to those of IDHwt tumors. Integration of epigenomics, gene expression, and functional genomics identified HOXD13 as a master regulator of IDHmut astrocytoma evolution. Furthermore, relapse of IDHmut tumors was accompanied by histologic progression that was associated with survival, as validated in an independent cohort. Finally, the initial cell composition of the tumor microenvironment varied between IDHwt and IDHmut tumors and changed differentially following treatment, suggesting increased neoangiogenesis and T-cell infiltration upon treatment of IDHmut gliomas. This study provides one of the largest cohorts of paired longitudinal glioma samples with epigenomic, transcriptomic, and genomic profiling and suggests that treatment of IDHmut glioma is associated with epigenomic evolution toward an IDHwt-like phenotype. SIGNIFICANCE Standard treatments are related to loss of DNA methylation in IDHmut glioma, resulting in epigenetic activation of genes associated with tumor progression and alterations in the microenvironment that resemble treatment-naïve IDHwt glioma.
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Affiliation(s)
- Tathiane M. Malta
- School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Thais S. Sabedot
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | | | - Indrani Datta
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | - Luciano Garofano
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
| | - Wies Vallentgoed
- Neurology Department, The Brain Tumour Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Frederick S. Varn
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut
| | | | - Fulvio D'Angelo
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida
| | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Hui K. Gan
- Olivia Newton-John Cancer Research Institute, Austin Health, Heidelberg, Melbourne, Australia
| | - Mohammad Hasanain
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
| | | | - Kevin C. Johnson
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
| | - Simona Cazacu
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | - Ana C. deCarvalho
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | | | - Emre Kocakavuk
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
- Department of Hematology and Stem Cell Transplantation, West German Cancer Center (WTZ), National Center for Tumor Diseases (NCT) West, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Mathilde C.M. Kouwenhoven
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Simona Migliozzi
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
| | | | - Johanna M. Niers
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - D. Ryan Ormond
- University of Colorado School of Medicine, Department of Neurosurgery, Aurora, Colorado
| | - Sun Ha Paek
- Department of Neurosurgery, Cancer Research Institute, Hypoxia Ischemia Disease Institute, Seoul National University, Seoul, Republic of Korea (South)
| | - Guido Reifenberger
- Institute of Neuropathology, Heinrich Heine University, Dusseldorf, Germany
| | - Peter A. Sillevis Smitt
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- The Brain Tumour Centre, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Lucy F. Stead
- Leeds Institute of Medical Research, University of Leeds, Leeds, United Kingdom
| | - Martin J. van den Bent
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- The Brain Tumour Centre, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Erwin G. Van Meir
- Department of Neurosurgery and O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama
| | | | - Tobias Weiss
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Bart A. Westerman
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Bauke Ylstra
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pieter Wesseling
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands
- Laboratory for Childhood Cancer Pathology, Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Anna Lasorella
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
- Department of Biochemistry and Molecular Biology, University of Miami Miller School of Medicine, Miami, Florida
| | - Pim J. French
- Neurology Department, The Brain Tumour Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Laila M. Poisson
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | - Roel G.W. Verhaak
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
- Department of Neurosurgery, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Antonio Iavarone
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida
| | - Houtan Noushmehr
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
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13
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Wang H, Zhang X, Liu J, Chen W, Guo X, Wang Y, Wang Y, Xing H, Liang T, Shi Y, Liu D, Yang T, Xia Y, Li J, Wu J, Liu Q, Qu T, Guo S, Li H, Zhang K, Li Y, Jin S, Zhao D, Wang Y, Ma W. Clinical roles of EGFR amplification in diffuse gliomas: a real-world study using the 2021 WHO classification of CNS tumors. Front Neurosci 2024; 18:1308627. [PMID: 38595969 PMCID: PMC11002900 DOI: 10.3389/fnins.2024.1308627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 02/12/2024] [Indexed: 04/11/2024] Open
Abstract
Background The 2021 World Health Organization Classification of Central Nervous System Tumors updates glioma subtyping and grading system, and incorporates EGFR amplification (Amp) as one of diagnostic markers for glioblastoma (GBM). Purpose This study aimed to describe the frequency, clinical value and molecular correlation of EGFR Amp in diffuse gliomas based on the latest classification. Methods We reviewed glioma patients between 2011 and 2022 at our hospital, and included 187 adult glioma patients with available tumor tissue for detection of EGFR Amp and other 59 molecular markers of interest. Clinical, radiological and pathological data was analyzed based on the status of EGFR Amp in different glioma subtypes. Results 163 gliomas were classified as adult-type diffuse gliomas, and the number of astrocytoma, oligodendroglioma and GBM was 41, 46, and 76. EGFR Amp was more common in IDH-wildtype diffuse gliomas (66.0%) and GBM (85.5%) than IDH-mutant diffuse gliomas (32.2%) and its subtypes (astrocytoma, 29.3%; oligodendroglioma, 34.8%). EGFR Amp did not stratify overall survival (OS) in IDH-mutant diffuse gliomas and astrocytoma, while was significantly associated with poorer OS in IDH-wildtype diffuse gliomas, histologic grade 2 and 3 IDH-wildtype diffuse astrocytic gliomas and GBM. Conclusion Our study validated EGFR Amp as a diagnostic marker for GBM and still a useful predictor for shortened OS in this group.
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Affiliation(s)
- Hai Wang
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin Zhang
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiahui Liu
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenlin Chen
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaopeng Guo
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- China Anti-Cancer Association Specialty Committee of Glioma, Beijing, China
| | - Yaning Wang
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuekun Wang
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hao Xing
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tingyu Liang
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yixin Shi
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Eight-year Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Delin Liu
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Eight-year Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tianrui Yang
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Eight-year Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Xia
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Eight-year Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Junlin Li
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Eight-year Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiaming Wu
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Eight-year Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qianshu Liu
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Eight-year Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tian Qu
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Eight-year Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Siying Guo
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Eight-year Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Huanzhang Li
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Eight-year Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kun Zhang
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Eight-year Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yilin Li
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- "4+4" Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shanmu Jin
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- "4+4" Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dachun Zhao
- Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Wang
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- China Anti-Cancer Association Specialty Committee of Glioma, Beijing, China
| | - Wenbin Ma
- Department of Neurosurgery, Center for Malignant Brain Tumors, National Glioma MDT Alliance, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- China Anti-Cancer Association Specialty Committee of Glioma, Beijing, China
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14
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Tateishi K, Miyake Y, Nakamura T, Iwashita H, Hayashi T, Oshima A, Honma H, Hayashi H, Sugino K, Kato M, Satomi K, Fujii S, Komori T, Yamamoto T, Cahill DP, Wakimoto H. Genetic alterations that deregulate RB and PDGFRA signaling pathways drive tumor progression in IDH2-mutant astrocytoma. Acta Neuropathol Commun 2023; 11:186. [PMID: 38012788 PMCID: PMC10680361 DOI: 10.1186/s40478-023-01683-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 11/02/2023] [Indexed: 11/29/2023] Open
Abstract
In IDH-mutant astrocytoma, IDH2 mutation is quite rare and biological mechanisms underlying tumor progression in IDH2-mutant astrocytoma remain elusive. Here, we report a unique case of IDH2 mutant astrocytoma, CNS WHO grade 3 that developed tumor progression. We performed a comprehensive genomic and epigenomic analysis for primary and recurrent tumors and found that both tumors harbored recurrent IDH2R172K and TP53R248W mutation with CDKN2A/B hemizygous deletion. We also found amplifications of CDK4 and MDM2 with PDGFRA gain in the recurrent tumor and upregulated protein expressions of these genes. We further developed, for the first time, a xenograft mouse model of IDH2R172K and TP53R248W mutant astrocytoma from the recurrent tumor, but not from the primary tumor. Consistent with parent recurrent tumor cells, amplifications of CDK4 and MDM2 and PDGFRA gain were found, while CDKN2A/B was identified as homozygous deletion in the xenografts, qualifying for integrated diagnosis of astrocytoma, IDH2-mutant, CNS WHO grade 4. Cell viability assay found that CDK4/6 inhibitor and PDGFR inhibitor potently decreased cell viability in recurrent tumor cells, as compared to primary tumor cells. These findings suggest that gene alterations that activate retinoblastoma (RB) signaling pathways and PDGFR may drive tumor progression and xenograft formation in IDH2-mutant astrocytoma, which is equivalent to progressive IDH1-mutant astrocytoma. Also, our findings suggest that these genomic alterations may represent therapeutic targets in IDH2-mutant astrocytoma.
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Affiliation(s)
- Kensuke Tateishi
- Department of Neurosurgery, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa, Yokohama, 2360004, Japan.
- Laboratory of Biopharmaceutical and Regenerative Science, Graduate School of Medical Science, Yokohama City University, Yokohama, Japan.
- Neurosurgical-Oncology Laboratory, Yokohama City University, Yokohama, Japan.
| | - Yohei Miyake
- Department of Neurosurgery, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa, Yokohama, 2360004, Japan
- Neurosurgical-Oncology Laboratory, Yokohama City University, Yokohama, Japan
| | - Taishi Nakamura
- Department of Neurosurgery, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa, Yokohama, 2360004, Japan
- Neurosurgical-Oncology Laboratory, Yokohama City University, Yokohama, Japan
| | - Hiromichi Iwashita
- Department of Pathology, Yokohama City University Hospital, Yokohama, Japan
- Department of Diagnostic Pathology, Yokohama City University Hospital, Yokohama, Japan
| | - Takahiro Hayashi
- Department of Neurosurgery, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa, Yokohama, 2360004, Japan
- Neurosurgical-Oncology Laboratory, Yokohama City University, Yokohama, Japan
| | - Akito Oshima
- Department of Neurosurgery, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa, Yokohama, 2360004, Japan
- Neurosurgical-Oncology Laboratory, Yokohama City University, Yokohama, Japan
| | - Hirokuni Honma
- Department of Neurosurgery, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa, Yokohama, 2360004, Japan
- Neurosurgical-Oncology Laboratory, Yokohama City University, Yokohama, Japan
| | - Hiroaki Hayashi
- Neurosurgical-Oncology Laboratory, Yokohama City University, Yokohama, Japan
- Department of Pediatrics, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
| | - Kyoka Sugino
- Department of Neurosurgery, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa, Yokohama, 2360004, Japan
- Laboratory of Biopharmaceutical and Regenerative Science, Graduate School of Medical Science, Yokohama City University, Yokohama, Japan
- Neurosurgical-Oncology Laboratory, Yokohama City University, Yokohama, Japan
| | - Miyui Kato
- Laboratory of Biopharmaceutical and Regenerative Science, Graduate School of Medical Science, Yokohama City University, Yokohama, Japan
- Neurosurgical-Oncology Laboratory, Yokohama City University, Yokohama, Japan
| | - Kaishi Satomi
- Department of Pathology, Kyorin University School of Medicine, Tokyo, Japan
| | - Satoshi Fujii
- Department of Diagnostic Pathology, Yokohama City University Hospital, Yokohama, Japan
- Department of Molecular Pathology, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
| | - Takashi Komori
- Department of Laboratory Medicine and Pathology (Neuropathology), Tokyo Metropolitan Neurological Hospital, Tokyo, Japan
| | - Tetsuya Yamamoto
- Department of Neurosurgery, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa, Yokohama, 2360004, Japan
| | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
- Translational-Neurooncology Laboratory, Brain Tumor Research Center, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Hiroaki Wakimoto
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
- Translational-Neurooncology Laboratory, Brain Tumor Research Center, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
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15
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Trivedi R, Bhat KP. Liquid biopsy: creating opportunities in brain space. Br J Cancer 2023; 129:1727-1746. [PMID: 37752289 PMCID: PMC10667495 DOI: 10.1038/s41416-023-02446-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 09/10/2023] [Accepted: 09/15/2023] [Indexed: 09/28/2023] Open
Abstract
In recent years, liquid biopsy has emerged as an alternative method to diagnose and monitor tumors. Compared to classical tissue biopsy procedures, liquid biopsy facilitates the repetitive collection of diverse cellular and acellular analytes from various biofluids in a non/minimally invasive manner. This strategy is of greater significance for high-grade brain malignancies such as glioblastoma as the quantity and accessibility of tumors are limited, and there are collateral risks of compromised life quality coupled with surgical interventions. Currently, blood and cerebrospinal fluid (CSF) are the most common biofluids used to collect circulating cells and biomolecules of tumor origin. These liquid biopsy analytes have created opportunities for real-time investigations of distinct genetic, epigenetic, transcriptomics, proteomics, and metabolomics alterations associated with brain tumors. This review describes different classes of liquid biopsy biomarkers present in the biofluids of brain tumor patients. Moreover, an overview of the liquid biopsy applications, challenges, recent technological advances, and clinical trials in the brain have also been provided.
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Affiliation(s)
- Rakesh Trivedi
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Krishna P Bhat
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
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16
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Tabnak P, Hasanzade Bashkandi A, Ebrahimnezhad M, Soleimani M. Forkhead box transcription factors (FOXOs and FOXM1) in glioma: from molecular mechanisms to therapeutics. Cancer Cell Int 2023; 23:238. [PMID: 37821870 PMCID: PMC10568859 DOI: 10.1186/s12935-023-03090-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 10/04/2023] [Indexed: 10/13/2023] Open
Abstract
Glioma is the most aggressive and malignant type of primary brain tumor, comprises the majority of central nervous system deaths, and is categorized into different subgroups according to its histological characteristics, including astrocytomas, oligodendrogliomas, glioblastoma multiforme (GBM), and mixed tumors. The forkhead box (FOX) transcription factors comprise a collection of proteins that play various roles in numerous complex molecular cascades and have been discovered to be differentially expressed in distinct glioma subtypes. FOXM1 and FOXOs have been recognized as crucial transcription factors in tumor cells, including glioma cells. Accumulating data indicates that FOXM1 acts as an oncogene in various types of cancers, and a significant part of studies has investigated its function in glioma. Although recent studies considered FOXO subgroups as tumor suppressors, there are pieces of evidence that they may have an oncogenic role. This review will discuss the subtle functions of FOXOs and FOXM1 in gliomas, dissecting their regulatory network with other proteins, microRNAs and their role in glioma progression, including stem cell differentiation and therapy resistance/sensitivity, alongside highlighting recent pharmacological progress for modulating their expression.
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Affiliation(s)
- Peyman Tabnak
- Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
- Imam Reza Hospital, Tabriz University of Medical Sciences, Tabriz, Iran.
| | | | - Mohammad Ebrahimnezhad
- Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
- Imam Reza Hospital, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mahdieh Soleimani
- Imam Reza Hospital, Tabriz University of Medical Sciences, Tabriz, Iran
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17
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Mu Q, Chai R, Pang B, Yang Y, Liu H, Zhao Z, Bao Z, Song D, Zhu Z, Yan M, Jiang B, Mo Z, Tang J, Sa JK, Cho HJ, Chang Y, Chan KHY, Loi DSC, Tam SST, Chan AKY, Wu AR, Liu Z, Poon WS, Ng HK, Chan DTM, Iavarone A, Nam DH, Jiang T, Wang J. Identifying predictors of glioma evolution from longitudinal sequencing. Sci Transl Med 2023; 15:eadh4181. [PMID: 37792958 DOI: 10.1126/scitranslmed.adh4181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 09/01/2023] [Indexed: 10/06/2023]
Abstract
Clonal evolution drives cancer progression and therapeutic resistance. Recent studies have revealed divergent longitudinal trajectories in gliomas, but early molecular features steering posttreatment cancer evolution remain unclear. Here, we collected sequencing and clinical data of initial-recurrent tumor pairs from 544 adult diffuse gliomas and performed multivariate analysis to identify early molecular predictors of tumor evolution in three diffuse glioma subtypes. We found that CDKN2A deletion at initial diagnosis preceded tumor necrosis and microvascular proliferation that occur at later stages of IDH-mutant glioma. Ki67 expression at diagnosis was positively correlated with acquiring hypermutation at recurrence in the IDH-wild-type glioma. In all glioma subtypes, MYC gain or MYC-target activation at diagnosis was associated with treatment-induced hypermutation at recurrence. To predict glioma evolution, we constructed CELLO2 (Cancer EvoLution for LOngitudinal data version 2), a machine learning model integrating features at diagnosis to forecast hypermutation and progression after treatment. CELLO2 successfully stratified patients into subgroups with distinct prognoses and identified a high-risk patient group featured by MYC gain with worse post-progression survival, from the low-grade IDH-mutant-noncodel subtype. We then performed chronic temozolomide-induction experiments in glioma cell lines and isogenic patient-derived gliomaspheres and demonstrated that MYC drives temozolomide resistance by promoting hypermutation. Mechanistically, we demonstrated that, by binding to open chromatin and transcriptionally active genomic regions, c-MYC increases the vulnerability of key mismatch repair genes to treatment-induced mutagenesis, thus triggering hypermutation. This study reveals early predictors of cancer evolution under therapy and provides a resource for precision oncology targeting cancer dynamics in diffuse gliomas.
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Affiliation(s)
- Quanhua Mu
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
- SIAT-HKUST Joint Laboratory of Cell Evolution and Digital Health, Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen, Guangdong 518045, China
| | - Ruichao Chai
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
- Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China
- Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Bo Pang
- Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China
- Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yingxi Yang
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
| | - Hanjie Liu
- Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China
- Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Zheng Zhao
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
- Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China
- Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Zhaoshi Bao
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
- Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China
- Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Dong Song
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
| | - Zhihan Zhu
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
| | - Mengli Yan
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
| | - Biaobin Jiang
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
| | - Zongchao Mo
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
| | - Jihong Tang
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
| | - Jason K Sa
- Institute for Refractory Cancer Research, Samsung Medical Center, Seoul 06351, Korea
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul 02841, Korea
| | - Hee Jin Cho
- Institute for Refractory Cancer Research, Samsung Medical Center, Seoul 06351, Korea
| | - Yuzhou Chang
- Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China
- Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Kaitlin Hao Yi Chan
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
| | - Danson Shek Chun Loi
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
| | - Sindy Sing Ting Tam
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
| | - Aden Ka Yin Chan
- Department of Anatomical and Cellular Pathology, Prince of Wales Hospital, Chinese University of Hong Kong, Hong Kong, SAR 999077, China
| | - Angela Ruohao Wu
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
| | - Zhaoqi Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Wai Sang Poon
- CUHK Otto Wong Brain Tumour Centre, Department of Surgery, Prince of Wales Hospital, Chinese University of Hong Kong, Hong Kong SAR 999077, China
| | - Ho Keung Ng
- Department of Anatomical and Cellular Pathology, Prince of Wales Hospital, Chinese University of Hong Kong, Hong Kong, SAR 999077, China
| | - Danny Tat Ming Chan
- CUHK Otto Wong Brain Tumour Centre, Department of Surgery, Prince of Wales Hospital, Chinese University of Hong Kong, Hong Kong SAR 999077, China
| | - Antonio Iavarone
- Department of Neurological Surgery, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Do-Hyun Nam
- Institute for Refractory Cancer Research, Samsung Medical Center, Seoul 06351, Korea
- Department of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 110745, Korea
- Department of Health Science and Technology, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University School of Medicine, Seoul 110745, Korea
- Chinese Glioma Genome Atlas (CGGA) and Asian Glioma Genome Atlas (AGGA) Research Networks
| | - Tao Jiang
- Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China
- Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- Chinese Glioma Genome Atlas (CGGA) and Asian Glioma Genome Atlas (AGGA) Research Networks
- Research Unit of Accurate Diagnosis, Treatment, and Translational Medicine of Brain Tumors, Chinese Academy of Medical Sciences, Beijing 100070, China
| | - Jiguang Wang
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
- SIAT-HKUST Joint Laboratory of Cell Evolution and Digital Health, Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen, Guangdong 518045, China
- Chinese Glioma Genome Atlas (CGGA) and Asian Glioma Genome Atlas (AGGA) Research Networks
- Hong Kong Center for Neurodegenerative Diseases, InnoHK, Hong Kong, SAR 999077, China
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18
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Kong J, Xu S, Deng Z, Wang Y, Zhang P. Transcription factor FOXM1 promotes hepatocellular carcinoma malignant progression through activation of the WNT pathway by binding to SETDB1. Tissue Cell 2023; 84:102186. [PMID: 37556918 DOI: 10.1016/j.tice.2023.102186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 07/25/2023] [Accepted: 07/27/2023] [Indexed: 08/11/2023]
Abstract
BACKGROUND FOXM1 is a transcription factor confirmed by studies to promote the development of hepatocellular carcinoma (HCC) and various other cancers, yet the molecular mechanism remains rather enigmatic. This study attempted to unveil the function and regulatory mechanism of FOXM1 in the progression of HCC. METHODS Bioinformatics methods first analyzed the expression of FOXM1 in HCC tissues and then screened target genes downstream of FOXM1. Possible pathways of the target gene were specified through Gene Set Enrichment Analysis (GSEA). After using qRT-PCR to measure the expression of FOXM1 and its downstream regulatory gene SETDB1 in HCC tissues, ChIP and dual-luciferase assays were employed and verified the binding relationship between FOXM1 and the promoter of SETDB1. Then the effects of the FOXM1/SETDB1/Wnt pathway on the proliferation, migration, and invasion of HCC cells were profiled by CCK-8, colony formation, wound healing, and transwell assays. WNT and EMT-related protein expression levels were detected by western blot and immunofluorescence assay, respectively. RESULTS The bioinformatics prediction showed that SETDB1 was the target downstream of FOXM1, and their binding relationship was verified by ChIP and dual-luciferase assays. Cell experiments showed that FOXM1 could enhance the proliferative, migratory, and invasive abilities of HCC cells through binding to SETDB1. Rescue assay suggested that the activation of key genes of the WNT pathway and EMT-related genes were part of the regulatory mechanism that FOXM1 bound to SETDB1. CONCLUSION This study found that FOXM1 could bind with SETDB1 and hence activate the WNT signaling pathway to promote the malignant progression of HCC. It indicated that FOXM1 could be the possible target for treating HCC.
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Affiliation(s)
- Jianqiao Kong
- Department of General Surgery, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang City, China
| | - Song Xu
- Department of General Surgery, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang City, China
| | - Zhongming Deng
- Department of General Surgery, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang City, China
| | - Yi Wang
- Department of General Surgery, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang City, China.
| | - Peng Zhang
- Department of General Surgery, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang City, China.
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19
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Zhang J, Feng Y, Li G, Zhang J, Zhang X, Zhang Y, Qin Z, Zhuang D, Qiu T, Shi Z, Zhu W, Zhang R, Wu Y, Liu H, Cao D, Hua W, Mao Y. Distinct aneuploid evolution of astrocytoma and glioblastoma during recurrence. NPJ Precis Oncol 2023; 7:97. [PMID: 37741941 PMCID: PMC10517995 DOI: 10.1038/s41698-023-00453-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 09/13/2023] [Indexed: 09/25/2023] Open
Abstract
Astrocytoma and glioblastoma (GB) are reclassified subtypes of adult diffuse gliomas based on distinct isocitrate dehydrogenase (IDH) mutation in the fifth edition of the WHO Classification of Tumors of the Central Nervous System. The recurrence of gliomas is a common and inevitable challenge, and analyzing the distinct genomic alterations in astrocytoma and GB could provide insights into their progression. This study conducted a longitudinal investigation, utilizing whole-exome sequencing, on 65 paired primary/recurrent gliomas. It examined chromosome arm aneuploidies, copy number variations (CNVs) of cancer-related genes and pathway enrichments during the relapse. The veracity of these findings was verified through the integration of our data with multiple public resources and by corroborative immunohistochemistry (IHC). The results revealed a greater prevalence of aneuploidy changes and acquired CNVs in recurrent lower grade astrocytoma than in relapsed grade 4 astrocytoma and GB. Larger aneuploidy changes were predictive of an unfavorable prognosis in lower grade astrocytoma (P < 0.05). Further, patients with acquired gains of 1q, 6p or loss of 13q at recurrence had a shorter overall survival in lower grade astrocytoma (P < 0.05); however, these prognostic effects were confined in grade 4 astrocytoma and GB. Moreover, acquired gains of 12 genes (including VEGFA) on 6p during relapse were associated with unfavorable prognosis for lower grade astrocytoma patients. Notably, elevated VEGFA expression during recurrence corresponded to poorer survival, validated through IHC and CGGA data. To summarize, these findings offer valuable insights into the progression of gliomas and have implications for guiding therapeutic approaches during recurrence.
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Affiliation(s)
- Jinsen Zhang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040, China
- National Center for Neurological Disorders, Shanghai, 200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040, China
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China
| | - Yuan Feng
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040, China
- National Center for Neurological Disorders, Shanghai, 200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040, China
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China
| | - Guanghao Li
- Genetron Health (Beijing) Co. Ltd., Beijing, 102206, China
| | - Jianhua Zhang
- Genetron Health (Beijing) Co. Ltd., Beijing, 102206, China
| | - Xin Zhang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040, China
- National Center for Neurological Disorders, Shanghai, 200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040, China
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China
| | - Yi Zhang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040, China
- National Center for Neurological Disorders, Shanghai, 200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040, China
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China
| | - Zhiyong Qin
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040, China
- National Center for Neurological Disorders, Shanghai, 200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040, China
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China
| | - Dongxiao Zhuang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040, China
- National Center for Neurological Disorders, Shanghai, 200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040, China
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China
| | - Tianming Qiu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040, China
- National Center for Neurological Disorders, Shanghai, 200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040, China
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China
| | - Zhifeng Shi
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040, China
- National Center for Neurological Disorders, Shanghai, 200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040, China
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China
| | - Wei Zhu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040, China
- National Center for Neurological Disorders, Shanghai, 200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040, China
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China
| | - Rui Zhang
- Shanghai KR Pharmtech, Inc., Ltd, Shanghai, 201805, China
| | - Yonghe Wu
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, 201210, China
| | - Haikun Liu
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, 201210, China
- Division of Molecular Neurogenetics, German Cancer Research Center (DKFZ), DKFZ-ZMBH Alliance, Im Neuenheimer Feld 280, Heidelberg, Germany
| | - Dandan Cao
- Genetron Health (Beijing) Co. Ltd., Beijing, 102206, China.
| | - Wei Hua
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040, China.
- National Center for Neurological Disorders, Shanghai, 200040, China.
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040, China.
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China.
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China.
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040, China.
- National Center for Neurological Disorders, Shanghai, 200040, China.
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, 200040, China.
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China.
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China.
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20
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Bredel M, Espinosa L, Kim H, Scholtens DM, McElroy JP, Rajbhandari R, Meng W, Kollmeyer TM, Malta TM, Quezada MA, Harsh GR, Lobo-Jarne T, Solé L, Merati A, Nagaraja S, Nair S, White JJ, Thudi NK, Fleming JL, Webb A, Natsume A, Ogawa S, Weber RG, Bertran J, Haque SJ, Hentschel B, Miller CR, Furnari FB, Chan TA, Grosu AL, Weller M, Barnholtz-Sloan JS, Monje M, Noushmehr H, Jenkins RB, Rogers CL, MacDonald DR, Pugh SL, Chakravarti A. Haploinsufficiency of NFKBIA reshapes the epigenome antipodal to the IDH mutation and imparts disease fate in diffuse gliomas. Cell Rep Med 2023; 4:101082. [PMID: 37343523 PMCID: PMC10314122 DOI: 10.1016/j.xcrm.2023.101082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 11/18/2022] [Accepted: 05/18/2023] [Indexed: 06/23/2023]
Abstract
Genetic alterations help predict the clinical behavior of diffuse gliomas, but some variability remains uncorrelated. Here, we demonstrate that haploinsufficient deletions of chromatin-bound tumor suppressor NFKB inhibitor alpha (NFKBIA) display distinct patterns of occurrence in relation to other genetic markers and are disproportionately present at recurrence. NFKBIA haploinsufficiency is associated with unfavorable patient outcomes, independent of genetic and clinicopathologic predictors. NFKBIA deletions reshape the DNA and histone methylome antipodal to the IDH mutation and induce a transcriptome landscape partly reminiscent of H3K27M mutant pediatric gliomas. In IDH mutant gliomas, NFKBIA deletions are common in tumors with a clinical course similar to that of IDH wild-type tumors. An externally validated nomogram model for estimating individual patient survival in IDH mutant gliomas confirms that NFKBIA deletions predict comparatively brief survival. Thus, NFKBIA haploinsufficiency aligns with distinct epigenome changes, portends a poor prognosis, and should be incorporated into models predicting the disease fate of diffuse gliomas.
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Affiliation(s)
- Markus Bredel
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA.
| | - Lluís Espinosa
- Cancer Research Program, Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Institut Mar d'Investigacions Mèdiques, Hospital del Mar, 08003 Barcelona, Spain
| | - Hyunsoo Kim
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Denise M Scholtens
- Division of Biostatistics-Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Joseph P McElroy
- Center for Biostatistics-Department of Biomedical Informatics, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Rajani Rajbhandari
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Wei Meng
- Department of Radiation Oncology, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Thomas M Kollmeyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Tathiane M Malta
- Department of Neurosurgery, Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, MI 48202, USA
| | - Michael A Quezada
- Department of Neurology & Neurological Sciences and Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Griffith R Harsh
- Department of Neurological Surgery, University of California at Davis School of Medicine, Sacramento, CA 95817, USA
| | - Teresa Lobo-Jarne
- Cancer Research Program, Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Institut Mar d'Investigacions Mèdiques, Hospital del Mar, 08003 Barcelona, Spain
| | - Laura Solé
- Cancer Research Program, Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Institut Mar d'Investigacions Mèdiques, Hospital del Mar, 08003 Barcelona, Spain
| | - Aran Merati
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Surya Nagaraja
- Department of Neurology & Neurological Sciences and Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Sindhu Nair
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Jaclyn J White
- Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, NC 27103, USA
| | - Nanda K Thudi
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Jessica L Fleming
- Department of Radiation Oncology, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Amy Webb
- Center for Biostatistics-Department of Biomedical Informatics, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Atsushi Natsume
- Department of Neurosurgery, Nagoya University School of Medicine, Nagoya 464-8601, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto 606-8501, Japan
| | - Ruthild G Weber
- Institute for Human Genetics, Hannover Medical School, 30625 Hannover, Germany
| | - Joan Bertran
- Biosciences Department, Faculty of Sciences, Technology, and Engineering. University of Vic-Central University of Catalonia, 08500 Vic, Spain
| | - S Jaharul Haque
- Department of Radiation Oncology, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Bettina Hentschel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, 04107 Leipzig, Germany
| | - C Ryan Miller
- Division of Neuropathology-Department of Pathology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Frank B Furnari
- Laboratory of Tumor Biology, Division of Regenerative Medicine-Department of Medicine, University of California at San Diego, La Jolla, CA 92093, USA
| | - Timothy A Chan
- Center for Immunotherapy and Precision Immuno-Oncology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Anca-Ligia Grosu
- Department of Radiation Oncology, Comprehensive Cancer Center, University of Freiburg, 79106 Freiburg, Germany
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, 8091 Zurich, Switzerland
| | - Jill S Barnholtz-Sloan
- Division of Cancer Epidemiology and Genetics-National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Michelle Monje
- Department of Neurology & Neurological Sciences and Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Houtan Noushmehr
- Department of Neurosurgery, Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, MI 48202, USA
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - David R MacDonald
- London Regional Cancer Program, Western University, London, ON N6A 5W9, Canada
| | - Stephanie L Pugh
- NRG Oncology Statistics and Data Management Center, Philadelphia, PA 19103, USA
| | - Arnab Chakravarti
- Department of Radiation Oncology, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
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21
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Kurimoto M, Rockenbach Y, Kato A, Natsume A. Prediction of Tumor Development and Urine-Based Liquid Biopsy for Molecule-Targeted Therapy of Gliomas. Genes (Basel) 2023; 14:1201. [PMID: 37372381 DOI: 10.3390/genes14061201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 05/21/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
The timing of the acquisition of tumor-specific gene mutations and the systems by which these gene mutations are acquired during tumorigenesis were clarified. Advances in our understanding of tumorigenesis are being made every day, and therapies targeting fundamental genetic alterations have great potential for cancer treatment. Moreover, our research team successfully estimated tumor progression using mathematical modeling and attempted early diagnosis of brain tumors. We developed a nanodevice that enables urinary genetic diagnosis in a simple and noninvasive manner. Mainly on the basis of our research and experience, this review article presents novel therapies being developed for central nervous system cancers and six molecules, which upon mutation cause tumorigenesis and tumor progression. Further understanding of the genetic characteristics of brain tumors will lead to the development of precise drugs and improve individual treatment outcomes.
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Affiliation(s)
- Michihiro Kurimoto
- Department of Neurosurgery, Aichi Children's Health and Medical Center, Obu 464-8710, Japan
| | - Yumi Rockenbach
- Institute of Innovation for Future Society, Nagoya University, Nagoya 464-8601, Japan
| | - Akira Kato
- Institute of Innovation for Future Society, Nagoya University, Nagoya 464-8601, Japan
| | - Atsushi Natsume
- Institute of Innovation for Future Society, Nagoya University, Nagoya 464-8601, Japan
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22
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Solomou G, Finch A, Asghar A, Bardella C. Mutant IDH in Gliomas: Role in Cancer and Treatment Options. Cancers (Basel) 2023; 15:cancers15112883. [PMID: 37296846 DOI: 10.3390/cancers15112883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/18/2023] [Accepted: 05/19/2023] [Indexed: 06/12/2023] Open
Abstract
Altered metabolism is a common feature of many cancers and, in some cases, is a consequence of mutation in metabolic genes, such as the ones involved in the TCA cycle. Isocitrate dehydrogenase (IDH) is mutated in many gliomas and other cancers. Physiologically, IDH converts isocitrate to α-ketoglutarate (α-KG), but when mutated, IDH reduces α-KG to D2-hydroxyglutarate (D2-HG). D2-HG accumulates at elevated levels in IDH mutant tumours, and in the last decade, a massive effort has been made to develop small inhibitors targeting mutant IDH. In this review, we summarise the current knowledge about the cellular and molecular consequences of IDH mutations and the therapeutic approaches developed to target IDH mutant tumours, focusing on gliomas.
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Affiliation(s)
- Georgios Solomou
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge CB2 0AW, UK
| | - Alina Finch
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Asim Asghar
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Chiara Bardella
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
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23
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Carney SV, Banerjee K, Mujeeb A, Zhu B, Haase S, Varela ML, Kadiyala P, Tronrud CE, Zhu Z, Mukherji D, Gorla P, Sun Y, Tagett R, Núñez FJ, Luo M, Luo W, Ljungman M, Liu Y, Xia Z, Schwendeman A, Qin T, Sartor MA, Costello JF, Cahill DP, Lowenstein PR, Castro MG. Zinc Finger MYND-Type Containing 8 (ZMYND8) Is Epigenetically Regulated in Mutant Isocitrate Dehydrogenase 1 (IDH1) Glioma to Promote Radioresistance. Clin Cancer Res 2023; 29:1763-1782. [PMID: 36692427 PMCID: PMC10159884 DOI: 10.1158/1078-0432.ccr-22-1896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 10/27/2022] [Accepted: 12/22/2022] [Indexed: 01/25/2023]
Abstract
PURPOSE Mutant isocitrate dehydrogenase 1 (mIDH1) alters the epigenetic regulation of chromatin, leading to a hypermethylation phenotype in adult glioma. This work focuses on identifying gene targets epigenetically dysregulated by mIDH1 to confer therapeutic resistance to ionizing radiation (IR). EXPERIMENTAL DESIGN We evaluated changes in the transcriptome and epigenome in a radioresistant mIDH1 patient-derived glioma cell culture (GCC) following treatment with an mIDH1-specific inhibitor, AGI-5198. We identified Zinc Finger MYND-Type Containing 8 (ZMYND8) as a potential target of mIDH1 reprogramming. We suppressed ZMYND8 expression by shRNA knockdown and genetic knockout (KO) in mIDH1 glioma cells and then assessed cellular viability to IR. We assessed the sensitivity of mIDH1 GCCS to pharmacologic inhibition of ZMYND8-interacting partners: HDAC, BRD4, and PARP. RESULTS Inhibition of mIDH1 leads to an upregulation of gene networks involved in replication stress. We found that the expression of ZMYND8, a regulator of DNA damage response, was decreased in three patient-derived mIDH1 GCCs after treatment with AGI-5198. Knockdown of ZMYND8 expression sensitized mIDH1 GCCs to radiotherapy marked by decreased cellular viability. Following IR, mIDH1 glioma cells with ZMYND8 KO exhibit significant phosphorylation of ATM and sustained γH2AX activation. ZMYND8 KO mIDH1 GCCs were further responsive to IR when treated with either BRD4 or HDAC inhibitors. PARP inhibition further enhanced the efficacy of radiotherapy in ZMYND8 KO mIDH1 glioma cells. CONCLUSIONS These findings indicate the impact of ZMYND8 in the maintenance of genomic integrity and repair of IR-induced DNA damage in mIDH1 glioma. See related commentary by Sachdev et al., p. 1648.
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Affiliation(s)
- Stephen V. Carney
- Cancer Biology Training Program, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Kaushik Banerjee
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Anzar Mujeeb
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Brandon Zhu
- Graduate Program in Biomedical Engineering, University of Michigan College of Engineering, Ann Arbor, MI, USA
| | - Santiago Haase
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Maria L. Varela
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Padma Kadiyala
- Graduate Program in Immunology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Claire E. Tronrud
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Ziwen Zhu
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Devarshi Mukherji
- Neuroscience, University of Michigan College of Literature, Science, the Arts (LSA), Ann Arbor, MI 48109, USA
| | - Preethi Gorla
- Neuroscience, University of Michigan College of Literature, Science, the Arts (LSA), Ann Arbor, MI 48109, USA
| | - Yilun Sun
- Department of Radiation Oncology, University Hospitals/Case Western Reserve University, Cleveland, OH, USA
| | - Rebecca Tagett
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Felipe J. Núñez
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Maowu Luo
- Department of Pathology, UT Southwestern Medical Center, Dallas TX 75390, USA
| | - Weibo Luo
- Department of Pathology, UT Southwestern Medical Center, Dallas TX 75390, USA
- Department of Pharmacology, UT Southwestern Medical Center, Dallas TX 75390, USA
| | - Mats Ljungman
- Department of Radiation Oncology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Environmental Health Science, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Yayuan Liu
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI 48109, USA
| | - Ziyun Xia
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI 48109, USA
| | - Anna Schwendeman
- Department of Radiation Oncology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Tingting Qin
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Maureen A. Sartor
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Joseph F. Costello
- Department of Neurological Surgery, University of California, San Francisco, California, 94143 USA
| | - Daniel P. Cahill
- Department of Neurosurgery, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston Massachusetts, 02114, USA
| | - Pedro R. Lowenstein
- Cancer Biology Training Program, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Graduate Program in Immunology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Biosciences Initiative in Brain Cancer, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Maria G. Castro
- Cancer Biology Training Program, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Graduate Program in Immunology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Biosciences Initiative in Brain Cancer, University of Michigan Medical School, Ann Arbor, MI 48109, USA
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24
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Wang X, Dai L, Liu Y, Li C, Fan D, Zhou Y, Li P, Kong Q, Su J. Partial erosion on under-methylated regions and chromatin reprogramming contribute to oncogene activation in IDH mutant gliomas. Epigenetics Chromatin 2023; 16:13. [PMID: 37118755 PMCID: PMC10142198 DOI: 10.1186/s13072-023-00490-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 04/21/2023] [Indexed: 04/30/2023] Open
Abstract
BACKGROUND IDH1/2 hotspot mutations are well known to drive oncogenic mutations in gliomas and are well-defined in the WHO 2021 classification of central nervous system tumors. Specifically, IDH mutations lead to aberrant hypermethylation of under-methylated regions (UMRs) in normal tissues through the disruption of TET enzymes. However, the chromatin reprogramming and transcriptional changes induced by IDH-related hypermethylation in gliomas remain unclear. RESULTS Here, we have developed a precise computational framework based on Hidden Markov Model to identify altered methylation states of UMRs at single-base resolution. By applying this framework to whole-genome bisulfite sequencing data from 75 normal brain tissues and 15 IDH mutant glioma tissues, we identified two distinct types of hypermethylated UMRs in IDH mutant gliomas. We named them partially hypermethylated UMRs (phUMRs) and fully hypermethylated UMRs (fhUMRs), respectively. We found that the phUMRs and fhUMRs exhibit distinct genomic features and chromatin states. Genes related to fhUMRs were more likely to be repressed in IDH mutant gliomas. In contrast, genes related to phUMRs were prone to be up-regulated in IDH mutant gliomas. Such activation of phUMR genes is associated with the accumulation of active H3K4me3 and the loss of H3K27me3, as well as H3K36me3 accumulation in gene bodies to maintain gene expression stability. In summary, partial erosion on UMRs was accompanied by locus-specific changes in key chromatin marks, which may contribute to oncogene activation. CONCLUSIONS Our study provides a computational strategy for precise decoding of methylation encroachment patterns in IDH mutant gliomas, revealing potential mechanistic insights into chromatin reprogramming that contribute to oncogenesis.
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Affiliation(s)
- Xinyu Wang
- School of Biomedical Engineering, School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, 325011, China
| | - Lijun Dai
- School of Biomedical Engineering, School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, 325011, China
| | - Yang Liu
- School of Biomedical Engineering, School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, 325011, China
| | - Chenghao Li
- School of Biomedical Engineering, School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, 325011, China
| | - Dandan Fan
- School of Biomedical Engineering, School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, 325011, China
| | - Yue Zhou
- School of Biomedical Engineering, School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, 325011, China
- Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou, 325011, Zhejiang, China
| | - Pengcheng Li
- School of Biomedical Engineering, School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, 325011, China
| | - Qingran Kong
- Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou, 325011, Zhejiang, China
| | - Jianzhong Su
- School of Biomedical Engineering, School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, 325011, China.
- Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou, 325011, Zhejiang, China.
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, 325011, China.
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25
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Duan W, Yu M, Chen J. BRD4: New Hope in the Battle Against Glioblastoma. Pharmacol Res 2023; 191:106767. [PMID: 37061146 DOI: 10.1016/j.phrs.2023.106767] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/30/2023] [Accepted: 04/12/2023] [Indexed: 04/17/2023]
Abstract
The BET family proteins, comprising BRD2, BRD3 and BRD4, represent epigenetic readers of acetylated histone marks that play pleiotropic roles in the tumorigenesis and growth of multiple human malignancies, including glioblastoma (GBM). A growing body of investigation has proven BET proteins as valuable therapeutic targets for cancer treatment. Recently, several BRD4 inhibitors and degraders have been reported to successfully suppress GBM in preclinical and clinical studies. However, the precise role and mechanism of BRD4 in the pathogenesis of GBM have not been fully elucidated or summarized. This review focuses on summarizing the roles and mechanisms of BRD4 in the context of the initiation and development of GBM. In addition, several BRD4 inhibitors have been evaluated for therapeutic purposes as monotherapy or in combination with chemotherapy, radiotherapy, and immune therapies. Here, we provide a critical appraisal of studies evaluating various BRD4 inhibitors and degraders as novel treatment strategies against GBM.
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Affiliation(s)
- Weichen Duan
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Miao Yu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Jiajia Chen
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
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26
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Maimaiti A, Feng Z, Liu Y, Turhon M, Xie Z, Baihetiyaer Y, Wang X, Kasimu M, Jiang L, Wang Y, Wang Z, Pei Y. N7-methylguanosin regulators-mediated methylation modification patterns and characterization of the immune microenvironment in lower-grade glioma. Eur J Med Res 2023; 28:144. [PMID: 36998056 PMCID: PMC10061823 DOI: 10.1186/s40001-023-01108-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 03/23/2023] [Indexed: 03/31/2023] Open
Abstract
N7-methylguanosine (m7G) modification signature has recently emerged as a crucial regulator of tumor progression and treatment in cancer. However, there is limited information available on the genomic profile of lower-grade gliomas (LGGs) related to m7G methylation modification genes' function in tumorigenesis and progression. In this study, we employed bioinformatics methods to characterize m7G modifications in individuals with LGG from The Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas (TCGA). We used gene set enrichment analysis (GSEA), single sample GSEA (ssGSEA), CIBERSORT algorithm, ESTIMATE algorithm, and TIDE to evaluate the association between m7G modification patterns, tumor microenvironment (TME) cell infiltration properties, and immune infiltration markers. The m7G scoring scheme using principal component analysis (PCA) was employed to investigate the m7G modification patterns quantitatively. We examined the m7G modification hub genes' expression levels in normal samples, refractory epilepsy samples, and LGG samples using immunohistochemistry, western-blotting, and qRT-PCR. Our findings revealed that individuals with LGG could be categorized into two groups based on m7G scores (high and low) according to the properties of m7G. Moreover, we observed that high m7G score was associated with significant clinical benefit and prolonged survival duration in the anti-PD-1 cohort, while low m7G score was associated with improved prognostic outcomes and increased likelihood of complete or partial response in the anti-PD-L1 cohort. Different m7G subtypes also showed varying Tumor Mutational Burden (TMB) and immune profiles and might have distinct responses to immunotherapy. Furthermore, we identified five potential genetic markers that were highly correlated with the m7G score signature index. These findings provide insight into the features and classification associated with m7G methylation modifications and may aid in improving the clinical outcome of LGG.
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Affiliation(s)
- Aierpati Maimaiti
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China
| | - Zhaohai Feng
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China
| | - Yanwen Liu
- Department of Medical Laboratory, Xinjiang Production and Construction Corps Hospital, Urumqi, 830002, Xinjiang, China
| | - Mirzat Turhon
- Department of Neurointerventional Surgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China
- Department of Neurointerventional Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Zhihao Xie
- The Second Hospital of Jilin University, Changchun, 130041, Jilin, China
| | - Yilimire Baihetiyaer
- Department of Neurology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China
| | - Xixian Wang
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China
| | - Maimaitijiang Kasimu
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China
| | - Lei Jiang
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China
| | - Yongxin Wang
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China.
| | - Zengliang Wang
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China.
- People's Hospital of Mongolian Autonomous Prefecture of Bayingolin, Korla, 841000, Xinjiang, China.
| | - Yinan Pei
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi District, Urumqi, 830054, Xinjiang, China.
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27
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Guo Q, Gao X, Li J, Liu Y, Liu J, Yang H, Cui M, Zhang M, Duan L, Ma X. High expression of PCOLCE gene indicate poor prognosis in patients and are associated with immune infiltration in glioma. Sci Rep 2023; 13:3820. [PMID: 36882457 PMCID: PMC9992371 DOI: 10.1038/s41598-023-30413-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 02/22/2023] [Indexed: 03/09/2023] Open
Abstract
The procollagen C-protease enhancer (PCOLCE) has been identified to influence tumor growth and metastasis in multiple cancers. However, the relationship between PCOLCE activity and the progression of gliomas remains largely unknown. Glioma RNA-seq data were derived from the Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas databases for analysis. Kaplan-Meier survival curve, clinical characterization correlation, univariate and multivariate Cox, and receiver operating characteristic curve analyses were performed to assess the prognostic role of PCOLCE. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Gene Set Enrichment Analysis were used to determine the functions or pathways associated with PCOLCE. The ESTIMATE and CIBERSORT algorithms, Spearman's rank correlation analysis, and Tumor Immune Estimation Resource (TIMER) databases were used to explore the relationship between PCOLCE and immune infiltration. Correlation analysis between PCOLCE, related genes, and immune cell markers was conducted using the TIMER database. Immunophenoscore assays were performed to determine differential PCOLCE expression levels in glioma. The sensitivity of multi-drugs were determined to explore potential chemotherapeutic agents in between PCOLCE. Compared to normal brain tissue, PCOLCE expression was increased in glioma and correlated with shorter overall survival (OS). Furthermore, significant differences were observed in the immune scores and immune cell infiltration levels. PCOLCE is positively associated with immune checkpoints and many immune markers. Additionally, PCOLCE expression was higher in gliomas with higher IPS Z-scores in CGGA. High expression of PCOLCE increased sensitivity to multiple chemotherapy agents in CGGA (P < 0.001), and TCGA. These results suggest that PCOLCE significantly influences the prognosis of patients with glioma, can serve as an independent prognostic factor, and is related to tumor immunity. PCOLCE may be a novel immune-related target for treating gliomas. Additionally, analysis of chemosensitivity in gliomas with high PCOLCE expression may provide a promising direction for drug development.
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Affiliation(s)
- Qingbao Guo
- Medical School of Chinese PLA, Beijing, China.,Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Xin Gao
- Medical School of Chinese PLA, Beijing, China.,Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Jingjie Li
- Medical School of Chinese PLA, Beijing, China.,Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Yukun Liu
- Medical School of Chinese PLA, Beijing, China.,Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Jiayu Liu
- Medical School of Chinese PLA, Beijing, China.,Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Hui Yang
- Medical School of Chinese PLA, Beijing, China.,Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Meng Cui
- Medical School of Chinese PLA, Beijing, China.,Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Meng Zhang
- Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Lian Duan
- Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.
| | - Xiaodong Ma
- Department of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.
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28
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Xu EX, Lu SY, Chen B, Ma XD, Sun EY. Manifestation of the malignant progression of glioma following initial intracerebral hemorrhage: A case report. World J Clin Cases 2023; 11:1576-1585. [PMID: 36926402 PMCID: PMC10011987 DOI: 10.12998/wjcc.v11.i7.1576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/03/2022] [Accepted: 02/16/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND Intracranial hemorrhage is extremely rare during the initial stages of glioma. Here, we report a case of glioma with unclassified pathology and intracranial bleeding.
CASE SUMMARY After the second surgery for intracerebral hemorrhage, the patient experienced weakness in the left arm and leg, but could walk unassisted. One month after discharge, the weakness in the left limbs had exacerbated and the patient also suffered from headaches and dizziness. A third surgery was ineffective against the rapidly growing tumor. Intracerebral hemorrhage may be the initial symptom of glioma in some rare cases, and atypical perihematomal edema can be used for diagnosis during an emergency. Certain histological and molecular features seen in our case were similar to that of glioblastoma with a primitive neuronal component, which is termed diffuse glioneuronal tumor with features similar to oligodendroglioma and nuclear clusters (DGONC). The patient underwent three surgeries to remove the tumor. The first tumor resection had been performed when the patient was 14-years-old. Resection of the hemorrhage and bone disc decompression were performed when the patient was 39-years-old. One month after the last discharge, the patient underwent neuronavigation-assisted resection of the right frontotemporal parietal lesion plus extended flap decompression. On the 50th d after the third operation, computed tomography imaging showed rapid tumor growth accompanied by brain hernia. The patient was discharged and died 3 d later.
CONCLUSION Glioma can present as bleeding in the initial stage and should be considered in such a setting. We have reported a case of DGONC, which is a rare molecular subtype of glioma with a unique methylation profile.
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Affiliation(s)
- En-Xi Xu
- Department of Neurosurgery, The Affiliated People’s Hospital of Jiangsu University, Zhenjiang 212002, Jiangsu Province, China
| | - Si-Yuan Lu
- Department of Radiology, The Affiliated People’s Hospital of Jiangsu University, Zhenjiang 212002, Jiangsu Province, China
| | - Bo Chen
- Department of Neurosurgery, The Affiliated People’s Hospital of Jiangsu University, Zhenjiang 212002, Jiangsu Province, China
| | - Xiao-Dong Ma
- Department of Anesthesia, The Affiliated People’s Hospital, Zhenjiang 212002, Jiangsu Province, China
| | - Er-Yi Sun
- Department of Neurosurgery, The Affiliated People’s Hospital of Jiangsu University, Zhenjiang 212002, Jiangsu Province, China
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Shen N, Lv W, Li S, Liu D, Xie Y, Zhang J, Zhang J, Jiang J, Jiang R, Zhu W. Noninvasive Evaluation of the Notch Signaling Pathway via Radiomic Signatures Based on Multiparametric MRI in Association With Biological Functions of Patients With Glioma: A Multi-institutional Study. J Magn Reson Imaging 2023; 57:884-896. [PMID: 35929909 DOI: 10.1002/jmri.28378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 07/18/2022] [Accepted: 07/18/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Noninvasive determination of Notch signaling is important for prognostic evaluation and therapeutic intervention in glioma. PURPOSE To predict Notch signaling using multiparametric (mp) MRI radiomics and correlate with biological characteristics in gliomas. STUDY TYPE Retrospective. POPULATION A total of 63 patients for model construction and 47 patients from two public databases for external testing. FIELD STRENGTH/SEQUENCE A 1.5 T and 3.0 T, T1-weighted imaging (T1WI), T2WI, T2 fluid attenuated inversion recovery (FLAIR), contrast-enhanced (CE)-T1WI. ASSESSMENT Radiomic features were extracted from CE-T1WI, T1WI, T2WI, and T2FLAIR and imaging signatures were selected using a least absolute shrinkage and selection operator. Diagnostic performance was compared between single modality and a combined mpMRI radiomics model. A radiomic-clinical nomogram was constructed incorporating the mpMRI radiomic signature and Karnofsky Performance score. The performance was validated in the test set. The radiomic signatures were correlated with immunohistochemistry (IHC) analysis of downstream Notch pathway components. STATISTICAL TESTS Receiver operating characteristic curve, decision curve analysis (DCA), Pearson correlation, and Hosmer-Lemeshow test. A P value < 0.05 was considered statistically significant. RESULTS The radiomic signature derived from the combination of all sequences numerically showed highest area under the curve (AUC) in both training and external test sets (AUCs of 0.857 and 0.823). The radiomics nomogram that incorporated the mpMRI radiomic signature and KPS status resulted in AUCs of 0.891 and 0.859 in the training and test sets. The calibration curves showed good agreement between prediction and observation in both sets (P= 0.279 and 0.170, respectively). DCA confirmed the clinical usefulness of the nomogram. IHC identified Notch pathway inactivation and the expression levels of Hes1 correlated with higher combined radiomic scores (r = -0.711) in Notch1 mutant tumors. DATA CONCLUSION The mpMRI-based radiomics nomogram may reflect the intratumor heterogeneity associated with downstream biofunction that predicts Notch signaling in a noninvasive manner. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Nanxi Shen
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenzhi Lv
- Department of Artificial Intelligence, Julei Technology Company, Wuhan, China
| | - Shihui Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dong Liu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Xie
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ju Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiaxuan Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jingjing Jiang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rifeng Jiang
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Ozair A, Bhat V, Alisch RS, Khosla AA, Kotecha RR, Odia Y, McDermott MW, Ahluwalia MS. DNA Methylation and Histone Modification in Low-Grade Gliomas: Current Understanding and Potential Clinical Targets. Cancers (Basel) 2023; 15:cancers15041342. [PMID: 36831683 PMCID: PMC9954183 DOI: 10.3390/cancers15041342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/02/2023] [Accepted: 02/14/2023] [Indexed: 02/22/2023] Open
Abstract
Gliomas, the most common type of malignant primary brain tumor, were conventionally classified through WHO Grades I-IV (now 1-4), with low-grade gliomas being entities belonging to Grades 1 or 2. While the focus of the WHO Classification for Central Nervous System (CNS) tumors had historically been on histopathological attributes, the recently released fifth edition of the classification (WHO CNS5) characterizes brain tumors, including gliomas, using an integration of histological and molecular features, including their epigenetic changes such as histone methylation, DNA methylation, and histone acetylation, which are increasingly being used for the classification of low-grade gliomas. This review describes the current understanding of the role of DNA methylation, demethylation, and histone modification in pathogenesis, clinical behavior, and outcomes of brain tumors, in particular of low-grade gliomas. The review also highlights potential diagnostic and/or therapeutic targets in associated cellular biomolecules, structures, and processes. Targeting of MGMT promoter methylation, TET-hTDG-BER pathway, association of G-CIMP with key gene mutations, PARP inhibition, IDH and 2-HG-associated processes, TERT mutation and ARL9-associated pathways, DNA Methyltransferase (DNMT) inhibition, Histone Deacetylase (HDAC) inhibition, BET inhibition, CpG site DNA methylation signatures, along with others, present exciting avenues for translational research. This review also summarizes the current clinical trial landscape associated with the therapeutic utility of epigenetics in low-grade gliomas. Much of the evidence currently remains restricted to preclinical studies, warranting further investigation to demonstrate true clinical utility.
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Affiliation(s)
- Ahmad Ozair
- Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
- Faculty of Medicine, King George’s Medical University, Lucknow 226003, India
| | - Vivek Bhat
- St. John’s Medical College, Bangalore 560034, India
| | - Reid S. Alisch
- Department of Neurosurgery, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Atulya A. Khosla
- Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
| | - Rupesh R. Kotecha
- Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Yazmin Odia
- Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Michael W. McDermott
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
- Miami Neuroscience Institute, Baptist Health South Florida, Miami, FL 33176, USA
- Correspondence: (M.W.M.); (M.S.A.)
| | - Manmeet S. Ahluwalia
- Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
- Miami Neuroscience Institute, Baptist Health South Florida, Miami, FL 33176, USA
- Correspondence: (M.W.M.); (M.S.A.)
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31
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Fanucci K, Pilat MJ, Shyr D, Shyr Y, Boerner S, Li J, Durecki D, Drappatz J, Puduvalli V, Lieberman FS, Gonzalez J, Giglio P, Ivy SP, Bindra RS, Omuro A, LoRusso P. Multicenter Phase II Trial of the PARP Inhibitor Olaparib in Recurrent IDH1- and IDH2-mutant Glioma. CANCER RESEARCH COMMUNICATIONS 2023; 3:192-201. [PMID: 36968138 PMCID: PMC10035510 DOI: 10.1158/2767-9764.crc-22-0436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/21/2022] [Accepted: 01/19/2023] [Indexed: 01/27/2023]
Abstract
Purpose Isocitrate dehydrogenase (IDH) 1 and IDH2 mutations (IDH1/2mt) are frequent in glioma. Preclinical studies suggest IDH1/2mts confer "BRCAness" phenotype, a vulnerability that can be targeted through PARP inhibition. To test this hypothesis, we conducted a multicenter study of olaparib monotherapy in patients with IDH1/2mt gliomas. Methods Patients with recurrent, contrast-enhancing IDH1/2mt gliomas were enrolled in a two-step phase II trial; the primary endpoint was overall response rate per Response Assessment in Neuro-Oncology (RANO) criteria. Olaparib 300 mg orally twice daily was given. Results A total of 15 evaluable patients were enrolled. Histology was astrocytoma (N = 12) and oligodendroglioma (N = 3). Most toxicities were grade 1 or 2. Best response was stable disease (SD) in 9 (60%) patients. Median progression-free survival (PFS) was 3.63 months and median overall survival was 20.7 months. For patients with SD, median PFS was 5.53 months; 4 patients had SD for >6 months. Among patients with best response progressive disease (N = 6), 5 had grade 4 tumor and 4 had known CDKN2A alteration. PFS was 5.23 months for grades 2 or 3 tumors (N = 10) versus 1.8 months for grade 4 (N = 5; P = 0.0013). Conclusion The study did not meet the prespecified response-based activity threshold for moving to step 2. However, prolonged SD was observed in patients with grades 2 and 3 histologies, suggesting olaparib monotherapy could be of clinical benefit in select populations. Grade 4 tumors per 2021 World Health Organization classification defined by histology or CDKN2A alteration derived no benefit from this drug, highlighting the usefulness of this classification for future patient stratification and trial design. Significance A single-arm phase II trial of olaparib in IDH-mutant glioma demonstrated clinically significant prolonged SD for select patients with grade 2/3 disease, suggesting potential benefit of olaparib in IDH-mutant gliomas.
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Affiliation(s)
| | | | - Derek Shyr
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Yu Shyr
- Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee
| | | | - Jing Li
- Yale Cancer Center, New Haven, Connecticut
| | - Diane Durecki
- University of Michigan Medical Center, Ann Arbor, Michigan
| | - Jan Drappatz
- University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania
| | - Vinay Puduvalli
- Division of Neuro-Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | | | - Javier Gonzalez
- Division of Neuro-Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Pierre Giglio
- Division of Neuro-Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio
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32
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Miller JJ, Gonzalez Castro LN, McBrayer S, Weller M, Cloughesy T, Portnow J, Andronesi O, Barnholtz-Sloan JS, Baumert BG, Berger MS, Bi WL, Bindra R, Cahill DP, Chang SM, Costello JF, Horbinski C, Huang RY, Jenkins RB, Ligon KL, Mellinghoff IK, Nabors LB, Platten M, Reardon DA, Shi DD, Schiff D, Wick W, Yan H, von Deimling A, van den Bent M, Kaelin WG, Wen PY. Isocitrate dehydrogenase (IDH) mutant gliomas: A Society for Neuro-Oncology (SNO) consensus review on diagnosis, management, and future directions. Neuro Oncol 2023; 25:4-25. [PMID: 36239925 PMCID: PMC9825337 DOI: 10.1093/neuonc/noac207] [Citation(s) in RCA: 48] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Isocitrate dehydrogenase (IDH) mutant gliomas are the most common adult, malignant primary brain tumors diagnosed in patients younger than 50, constituting an important cause of morbidity and mortality. In recent years, there has been significant progress in understanding the molecular pathogenesis and biology of these tumors, sparking multiple efforts to improve their diagnosis and treatment. In this consensus review from the Society for Neuro-Oncology (SNO), the current diagnosis and management of IDH-mutant gliomas will be discussed. In addition, novel therapies, such as targeted molecular therapies and immunotherapies, will be reviewed. Current challenges and future directions for research will be discussed.
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Affiliation(s)
- Julie J Miller
- Stephen E. and Catherine Pappas Center for Neuro-Oncology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - L Nicolas Gonzalez Castro
- Harvard Medical School, Boston, MA, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Samuel McBrayer
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, 6000 Harry Hines Blvd, Dallas, Texas, 75235, USA
| | - Michael Weller
- Department of Neurology, University Hospital Zurich, Frauenklinikstrasse 26, 8091 Zurich, Switzerland
| | | | - Jana Portnow
- Oncology, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Ovidiu Andronesi
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jill S Barnholtz-Sloan
- Informatics and Data Science (IDS), Center for Biomedical Informatics and Information Technology (CBIIT), Trans-Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Bethesda, MD, USA
| | - Brigitta G Baumert
- Cantonal Hospital Graubunden, Institute of Radiation-Oncology, Chur, Switzerland
| | - Mitchell S Berger
- Department of Neurosurgery, University of California-San Francisco, San Francisco, California, USA
| | - Wenya Linda Bi
- Harvard Medical School, Boston, MA, USA
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA, USA
| | - Ranjit Bindra
- Department of Therapeutic Radiology, Brain Tumor Center, Yale School of Medicine, New Haven, CT, USA
| | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Susan M Chang
- Department of Neurosurgery, University of California-San Francisco, San Francisco, California, USA
| | - Joseph F Costello
- Department of Neurosurgery, University of California-San Francisco, San Francisco, California, USA
| | - Craig Horbinski
- Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Northwestern Medicine Malnati Brain Tumor Institute of the Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Raymond Y Huang
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Robert B Jenkins
- Individualized Medicine Research, Mayo Clinic, Department of Laboratory Medicine and Pathology, Rochester, Minnesota 55901, USA
| | - Keith L Ligon
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Ingo K Mellinghoff
- Department of Neurology, Evnin Family Chair in Neuro-Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - L Burt Nabors
- Department of Neurology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Michael Platten
- CCU Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - David A Reardon
- Harvard Medical School, Boston, MA, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Diana D Shi
- Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - David Schiff
- Division of Neuro-Oncology, Department of Neurology, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Wolfgang Wick
- Neuro-Oncology at the German Cancer Research Center (DKFZ), Program Chair of Neuro-Oncology at the National Center for Tumor Diseases (NCT), and Neurology and Chairman at the Neurology Clinic in Heidelberg, Heidelberg, Germany
| | - Hai Yan
- Genetron Health Inc, Gaithersburg, Maryland 20879, USA
| | - Andreas von Deimling
- Department of Neuropathology, University Hospital Heidelberg, and, Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ), and, DKTK, INF 224, 69120 Heidelberg, Germany
| | - Martin van den Bent
- Brain Tumour Centre, Erasmus MC Cancer Institute, Groene Hilledijk 301, 3075 EA Rotterdam, The Netherlands
| | - William G Kaelin
- Harvard Medical School, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Patrick Y Wen
- Harvard Medical School, Boston, MA, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
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Vij M, Yokoda RT, Rashidipour O, Tran I, Vasudevaraja V, Snuderl M, Yong RL, Cobb WS, Umphlett M, Walker JM, Tsankova NM, Richardson TE. The prognostic impact of subclonal IDH1 mutation in grade 2-4 astrocytomas. Neurooncol Adv 2023; 5:vdad069. [PMID: 37324217 PMCID: PMC10263115 DOI: 10.1093/noajnl/vdad069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023] Open
Abstract
Background Isocitrate dehydrogenase (IDH) mutations are thought to represent an early oncogenic event in glioma evolution, found with high penetrance across tumor cells; however, in rare cases, IDH mutation may exist only in a small subset of the total tumor cells (subclonal IDH mutation). Methods We present 2 institutional cases with subclonal IDH1 R132H mutation. In addition, 2 large publicly available cohorts of IDH-mutant astrocytomas were mined for cases harboring subclonal IDH mutations (defined as tumor cell fraction with IDH mutation ≤0.67) and the clinical and molecular features of these subclonal cases were compared to clonal IDH-mutant astrocytomas. Results Immunohistochemistry (IHC) performed on 2 institutional World Health Organization grade 4 IDH-mutant astrocytomas revealed only a minority of tumor cells in each case with IDH1 R132H mutant protein, and next-generation sequencing (NGS) revealed remarkably low IDH1 variant allele frequencies compared to other pathogenic mutations, including TP53 and/or ATRX. DNA methylation classified the first tumor as high-grade IDH-mutant astrocytoma with high confidence (0.98 scores). In the publicly available datasets, subclonal IDH mutation was present in 3.9% of IDH-mutant astrocytomas (18/466 tumors). Compared to clonal IDH-mutant astrocytomas (n = 156), subclonal cases demonstrated worse overall survival in grades 3 (P = .0106) and 4 (P = .0184). Conclusions While rare, subclonal IDH1 mutations are present in a subset of IDH-mutant astrocytomas of all grades, which may lead to a mismatch between IHC results and genetic/epigenetic classification. These findings suggest a possible prognostic role of IDH mutation subclonality, and highlight the potential clinical utility of quantitative IDH1 mutation evaluation by IHC and NGS.
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Affiliation(s)
- Meenakshi Vij
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Raquel T Yokoda
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Omid Rashidipour
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ivy Tran
- Department of Pathology, NYU Langone Health, New York, New York, USA
| | | | - Matija Snuderl
- Department of Pathology, NYU Langone Health, New York, New York, USA
| | - Raymund L Yong
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Melissa Umphlett
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jamie M Walker
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Nadejda M Tsankova
- Nadejda M. Tsankova, MD, PhD, Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, Icahn Building, 9-20E, New York, NY 10029, USA ()
| | - Timothy E Richardson
- Corresponding Authors: Timothy E. Richardson, DO, PhD, Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, Annenberg Building, 15.58, New York, NY 10029, USA ()
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34
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Islam SA, Díaz-Gay M, Wu Y, Barnes M, Vangara R, Bergstrom EN, He Y, Vella M, Wang J, Teague JW, Clapham P, Moody S, Senkin S, Li YR, Riva L, Zhang T, Gruber AJ, Steele CD, Otlu B, Khandekar A, Abbasi A, Humphreys L, Syulyukina N, Brady SW, Alexandrov BS, Pillay N, Zhang J, Adams DJ, Martincorena I, Wedge DC, Landi MT, Brennan P, Stratton MR, Rozen SG, Alexandrov LB. Uncovering novel mutational signatures by de novo extraction with SigProfilerExtractor. CELL GENOMICS 2022; 2:None. [PMID: 36388765 PMCID: PMC9646490 DOI: 10.1016/j.xgen.2022.100179] [Citation(s) in RCA: 73] [Impact Index Per Article: 36.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 04/10/2022] [Accepted: 08/31/2022] [Indexed: 12/09/2022]
Abstract
Mutational signature analysis is commonly performed in cancer genomic studies. Here, we present SigProfilerExtractor, an automated tool for de novo extraction of mutational signatures, and benchmark it against another 13 bioinformatics tools by using 34 scenarios encompassing 2,500 simulated signatures found in 60,000 synthetic genomes and 20,000 synthetic exomes. For simulations with 5% noise, reflecting high-quality datasets, SigProfilerExtractor outperforms other approaches by elucidating between 20% and 50% more true-positive signatures while yielding 5-fold less false-positive signatures. Applying SigProfilerExtractor to 4,643 whole-genome- and 19,184 whole-exome-sequenced cancers reveals four novel signatures. Two of the signatures are confirmed in independent cohorts, and one of these signatures is associated with tobacco smoking. In summary, this report provides a reference tool for analysis of mutational signatures, a comprehensive benchmarking of bioinformatics tools for extracting signatures, and several novel mutational signatures, including one putatively attributed to direct tobacco smoking mutagenesis in bladder tissues.
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Affiliation(s)
- S.M. Ashiqul Islam
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
| | - Marcos Díaz-Gay
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
| | - Yang Wu
- Centre for Computational Biology and Programme in Cancer & Stem Cell Biology, Duke NUS Medical School, Singapore 169857, Singapore
| | - Mark Barnes
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
| | - Raviteja Vangara
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
| | - Erik N. Bergstrom
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
| | - Yudou He
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
| | - Mike Vella
- NVIDIA Corporation, 2788 San Tomas Expressway, Santa Clara, CA 95051, USA
| | - Jingwei Wang
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK
| | - Jon W. Teague
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK
| | - Peter Clapham
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK
| | - Sarah Moody
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK
| | - Sergey Senkin
- Genetic Epidemiology Group, International Agency for Research on Cancer, Cedex 08, 69372 Lyon, France
| | - Yun Rose Li
- Departments of Radiation Oncology and Cancer Genetics, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Laura Riva
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Andreas J. Gruber
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LF, UK
- Manchester Cancer Research Centre, The University of Manchester, Manchester M20 4GJ, UK
- Department of Biology, University of Konstanz, Universitaetsstrasse 10, D-78464 Konstanz, Germany
| | - Christopher D. Steele
- Research Department of Pathology, Cancer Institute, University College London, London WC1E 6BT, UK
| | - Burçak Otlu
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
| | - Azhar Khandekar
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
| | - Ammal Abbasi
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
| | - Laura Humphreys
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK
| | | | - Samuel W. Brady
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Boian S. Alexandrov
- Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
| | - Nischalan Pillay
- Research Department of Pathology, Cancer Institute, University College London, London WC1E 6BT, UK
- Department of Cellular and Molecular Pathology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex HA7 4LP, UK
| | - Jinghui Zhang
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - David J. Adams
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK
| | - Iñigo Martincorena
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK
| | - David C. Wedge
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LF, UK
- Manchester Cancer Research Centre, The University of Manchester, Manchester M20 4GJ, UK
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Paul Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer, Cedex 08, 69372 Lyon, France
| | - Michael R. Stratton
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK
| | - Steven G. Rozen
- Centre for Computational Biology and Programme in Cancer & Stem Cell Biology, Duke NUS Medical School, Singapore 169857, Singapore
| | - Ludmil B. Alexandrov
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA
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Wang J, Wang Z, Jia W, Gong W, Dong B, Wang Z, Zhou M, Tian C. The role of costimulatory molecules in glioma biology and immune microenvironment. Front Genet 2022; 13:1024922. [PMID: 36437961 PMCID: PMC9682268 DOI: 10.3389/fgene.2022.1024922] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 10/28/2022] [Indexed: 10/15/2023] Open
Abstract
Background: Extensive research showed costimulatory molecules regulate tumor progression. Nevertheless, a small amount of literature has concentrated on the potential prognostic and therapeutic effects of costimulatory molecules in patients with glioma. Methods: The data were downloaded from The Cancer Genome Atlas (TCGA) database, Chinese Glioma Genome Atlas (CGGA) database, and Gene Expression Omnibus (GEO) database for bioinformatics analysis. R software was applied for statistical analysis. Using the FigureYa and Xiantao online tools (https://www.xiantao.love/) for mapping. Results: The Least absolute shrinkage and selection operator (LASSO) and Cox regression analysis were utilized to identify the signature consisting of five costimulatory molecules. Multivariate regression analysis revealed that the prognosis of glioma could be independently predicted by the riskscore. Furthermore, we explored clinical and genomic feature differences between the two groups. The level of tumor mutational burden (TMB) was higher in the high-risk group, while more mutation of IDH1 was observed in the low-risk group. Results of Tumor Immune Dysfunction and Exclusion (TIDE) analysis showed that high-risk patients were more prone to be responded to immunotherapy. In addition, subclass mapping analysis was performed to validate our findings and the results revealed that a significantly higher percentage of immunotherapy response rate was observed in the high-risk group. Conclusion: A novel signature with a good independent predictive capacity of prognosis was successfully identified. And our findings reveal that patients with high-risk scores were more likely to be responded to immunotherapy.
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Affiliation(s)
- Ji Wang
- Department of Neurosurgery, Yichang Central People’s Hospital, The First College of Clinical Medical Science, Institute of Neurology, China Three Gorges University, Yichang, China
| | - Zi Wang
- Department of Emergency, The First People’s Hospital of Yichang, The People’s Hospital of China Three Gorges University, Yichang, China
| | - Wenxue Jia
- Department of Neurosurgery, Yichang Central People’s Hospital, The First College of Clinical Medical Science, Institute of Neurology, China Three Gorges University, Yichang, China
| | - Wei Gong
- Department of Neurosurgery, Yichang Central People’s Hospital, The First College of Clinical Medical Science, Institute of Neurology, China Three Gorges University, Yichang, China
| | - Bokai Dong
- Department of Neurosurgery, Yichang Central People’s Hospital, The First College of Clinical Medical Science, Institute of Neurology, China Three Gorges University, Yichang, China
| | - Zhuangzhuang Wang
- Department of Neurosurgery, Yichang Central People’s Hospital, The First College of Clinical Medical Science, Institute of Neurology, China Three Gorges University, Yichang, China
| | - Meng Zhou
- Department of Neurosurgery, Yichang Central People’s Hospital, The First College of Clinical Medical Science, Institute of Neurology, China Three Gorges University, Yichang, China
| | - Chunlei Tian
- Department of Neurosurgery, Yichang Central People’s Hospital, The First College of Clinical Medical Science, Institute of Neurology, China Three Gorges University, Yichang, China
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von Knebel Doeberitz N, Paech D, Sturm D, Pusch S, Turcan S, Saunthararajah Y. Changing paradigms in oncology: Toward noncytotoxic treatments for advanced gliomas. Int J Cancer 2022; 151:1431-1446. [PMID: 35603902 PMCID: PMC9474618 DOI: 10.1002/ijc.34131] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 05/12/2022] [Accepted: 05/13/2022] [Indexed: 11/25/2022]
Abstract
Glial-lineage malignancies (gliomas) recurrently mutate and/or delete the master regulators of apoptosis p53 and/or p16/CDKN2A, undermining apoptosis-intending (cytotoxic) treatments. By contrast to disrupted p53/p16, glioma cells are live-wired with the master transcription factor circuits that specify and drive glial lineage fates: these transcription factors activate early-glial and replication programs as expected, but fail in their other usual function of forcing onward glial lineage-maturation-late-glial genes have constitutively "closed" chromatin requiring chromatin-remodeling for activation-glioma-genesis disrupts several epigenetic components needed to perform this work, and simultaneously amplifies repressing epigenetic machinery instead. Pharmacologic inhibition of repressing epigenetic enzymes thus allows activation of late-glial genes and terminates glioma self-replication (self-replication = replication without lineage-maturation), independent of p53/p16/apoptosis. Lineage-specifying master transcription factors therefore contrast with p53/p16 in being enriched in self-replicating glioma cells, reveal a cause-effect relationship between aberrant epigenetic repression of late-lineage programs and malignant self-replication, and point to specific epigenetic targets for noncytotoxic glioma-therapy.
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Affiliation(s)
| | - Daniel Paech
- Division of RadiologyGerman Cancer Research Center (DKFZ)HeidelbergGermany
- Department of NeuroradiologyBonn University HospitalBonnGermany
| | - Dominik Sturm
- Hopp Children's Cancer Center (KiTZ) HeidelbergHeidelbergGermany
- Division of Pediatric Glioma Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK)HeidelbergGermany
- Department of Pediatric Oncology, Hematology & ImmunologyHeidelberg University HospitalHeidelbergGermany
| | - Stefan Pusch
- Department of NeuropathologyInstitute of Pathology, Ruprecht‐Karls‐University HeidelbergHeidelbergGermany
- German Cancer Consortium (DKTK), Clinical Cooperation Unit (CCU) Neuropathology, German Cancer Research Center (DKFZ)HeidelbergGermany
| | - Sevin Turcan
- Department of NeurologyHeidelberg University HospitalHeidelbergGermany
| | - Yogen Saunthararajah
- Department of Translational Hematology and Oncology ResearchTaussig Cancer Institute, Cleveland ClinicClevelandOhioUSA
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Faisal SM, Comba A, Varela ML, Argento AE, Brumley E, Abel C, Castro MG, Lowenstein PR. The complex interactions between the cellular and non-cellular components of the brain tumor microenvironmental landscape and their therapeutic implications. Front Oncol 2022; 12:1005069. [PMID: 36276147 PMCID: PMC9583158 DOI: 10.3389/fonc.2022.1005069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/20/2022] [Indexed: 11/26/2022] Open
Abstract
Glioblastoma (GBM), an aggressive high-grade glial tumor, is resistant to therapy and has a poor prognosis due to its universal recurrence rate. GBM cells interact with the non-cellular components in the tumor microenvironment (TME), facilitating their rapid growth, evolution, and invasion into the normal brain. Herein we discuss the complexity of the interactions between the cellular and non-cellular components of the TME and advances in the field as a whole. While the stroma of non-central nervous system (CNS) tissues is abundant in fibrillary collagens, laminins, and fibronectin, the normal brain extracellular matrix (ECM) predominantly includes proteoglycans, glycoproteins, and glycosaminoglycans, with fibrillary components typically found only in association with the vasculature. However, recent studies have found that in GBMs, the microenvironment evolves into a more complex array of components, with upregulated collagen gene expression and aligned fibrillary ECM networks. The interactions of glioma cells with the ECM and the degradation of matrix barriers are crucial for both single-cell and collective invasion into neighboring brain tissue. ECM-regulated mechanisms also contribute to immune exclusion, resulting in a major challenge to immunotherapy delivery and efficacy. Glioma cells chemically and physically control the function of their environment, co-opting complex signaling networks for their own benefit, resulting in radio- and chemo-resistance, tumor recurrence, and cancer progression. Targeting these interactions is an attractive strategy for overcoming therapy resistance, and we will discuss recent advances in preclinical studies, current clinical trials, and potential future clinical applications. In this review, we also provide a comprehensive discussion of the complexities of the interconnected cellular and non-cellular components of the microenvironmental landscape of brain tumors to guide the development of safe and effective therapeutic strategies against brain cancer.
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Affiliation(s)
- Syed M. Faisal
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Andrea Comba
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Maria L. Varela
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Anna E. Argento
- Dept. of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Emily Brumley
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Clifford Abel
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Maria G. Castro
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Pedro R. Lowenstein
- Dept. of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States
- Dept. of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
- *Correspondence: Pedro R. Lowenstein,
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Abstract
Standard treatment for patients with IDH-mutant gliomas with radiation therapy and chemotherapy is non-curative and associated with long-term neurotoxicity. This has created intense interest in targeted therapeutic strategies that are specifically designed of IDH-mutant tumors. Much progress has been made in understanding the unique biology of IDH-mutant gliomas, and now various IDH-mutant-specific targeting strategies are in various phases of development. Here, we will review a range of IDH-mutant targeting treatments being explored, including direct IDH inhibitors, as well as strategies that take advantage of IDH-mutant-specific vulnerabilities.
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Affiliation(s)
- Julie J Miller
- Department of Neurology, Pappas Center for Neuro-Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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Chen RJ, Lu MY, Williamson DFK, Chen TY, Lipkova J, Noor Z, Shaban M, Shady M, Williams M, Joo B, Mahmood F. Pan-cancer integrative histology-genomic analysis via multimodal deep learning. Cancer Cell 2022; 40:865-878.e6. [PMID: 35944502 PMCID: PMC10397370 DOI: 10.1016/j.ccell.2022.07.004] [Citation(s) in RCA: 82] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 10/08/2021] [Accepted: 07/11/2022] [Indexed: 02/07/2023]
Abstract
The rapidly emerging field of computational pathology has demonstrated promise in developing objective prognostic models from histology images. However, most prognostic models are either based on histology or genomics alone and do not address how these data sources can be integrated to develop joint image-omic prognostic models. Additionally, identifying explainable morphological and molecular descriptors from these models that govern such prognosis is of interest. We use multimodal deep learning to jointly examine pathology whole-slide images and molecular profile data from 14 cancer types. Our weakly supervised, multimodal deep-learning algorithm is able to fuse these heterogeneous modalities to predict outcomes and discover prognostic features that correlate with poor and favorable outcomes. We present all analyses for morphological and molecular correlates of patient prognosis across the 14 cancer types at both a disease and a patient level in an interactive open-access database to allow for further exploration, biomarker discovery, and feature assessment.
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Affiliation(s)
- Richard J Chen
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pathology, Mass General Hospital, Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Harvard Cancer Institute, Boston, MA, USA
| | - Ming Y Lu
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pathology, Mass General Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Harvard Cancer Institute, Boston, MA, USA; Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
| | - Drew F K Williamson
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pathology, Mass General Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Harvard Cancer Institute, Boston, MA, USA
| | - Tiffany Y Chen
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Harvard Cancer Institute, Boston, MA, USA
| | - Jana Lipkova
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Harvard Cancer Institute, Boston, MA, USA
| | - Zahra Noor
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Muhammad Shaban
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pathology, Mass General Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Harvard Cancer Institute, Boston, MA, USA
| | - Maha Shady
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Harvard Cancer Institute, Boston, MA, USA
| | - Mane Williams
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pathology, Mass General Hospital, Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Harvard Cancer Institute, Boston, MA, USA
| | - Bumjin Joo
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Faisal Mahmood
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pathology, Mass General Hospital, Harvard Medical School, Boston, MA, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Cancer Data Science Program, Dana-Farber/Harvard Cancer Institute, Boston, MA, USA; Harvard Data Sciences Initiative, Harvard University, Cambridge, MA, USA.
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40
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MRI Radiogenomics in Precision Oncology: New Diagnosis and Treatment Method. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:2703350. [PMID: 35845886 PMCID: PMC9282990 DOI: 10.1155/2022/2703350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 05/04/2022] [Accepted: 05/25/2022] [Indexed: 11/21/2022]
Abstract
Precision medicine for cancer affords a new way for the most accurate and effective treatment to each individual cancer. Given the high time-evolving intertumor and intratumor heterogeneity features of personal medicine, there are still several obstacles hindering its diagnosis and treatment in clinical practice regardless of extensive exploration on it over the past years. This paper is to investigate radiogenomics methods in the literature for precision medicine for cancer focusing on the heterogeneity analysis of tumors. Based on integrative analysis of multimodal (parametric) imaging and molecular data in bulk tumors, a comprehensive analysis and discussion involving the characterization of tumor heterogeneity in imaging and molecular expression are conducted. These investigations are intended to (i) fully excavate the multidimensional spatial, temporal, and semantic related information regarding high-dimensional breast magnetic resonance imaging data, with integration of the highly specific structured data of genomics and combination of the diagnosis and cognitive process of doctors, and (ii) establish a radiogenomics data representation model based on multidimensional consistency analysis with multilevel spatial-temporal correlations.
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Zhou J, Ji N, Wang G, Zhang Y, Song H, Yuan Y, Yang C, Jin Y, Zhang Z, Zhang L, Yin Y. Metabolic detection of malignant brain gliomas through plasma lipidomic analysis and support vector machine-based machine learning. EBioMedicine 2022; 81:104097. [PMID: 35687958 PMCID: PMC9189781 DOI: 10.1016/j.ebiom.2022.104097] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 05/01/2022] [Accepted: 05/20/2022] [Indexed: 12/25/2022] Open
Abstract
Background Most malignant brain gliomas (MBGs) are associated with dismal outcomes, mainly due to their late diagnosis. Current diagnostic methods for MBGs are based on imaging and histological examination, which limits their early detection. Here, we aimed to identify reliable plasma lipid biomarkers for non-invasive diagnosis for MBGs. Methods Untargeted lipidomic analysis was firstly performed using a discovery cohort (n=107). The data were processed by a support vector machine (SVM)-based discriminating model to retrieve a panel of candidate biomarkers. Then, a targeted quantification method was developed, and the SVM-based diagnostic model was constructed using a training cohort (n=750) and tested using a test cohort (n=225). Finally, the performance of the diagnostic model was further evaluated in an independent validation cohort (n=920) enrolled from multiple medical centers. Findings A panel of 11 plasma lipids was identified as candidate biomarkers with an accuracy of 0.999. The diagnostic model developed achieved a high performance in distinguishing MBGs patients from normal controls with an area under the receiver-operating characteristic curve (AUC) of 0.9877 and 0.9869 in the training and test cohorts, respectively. In the validation cohort, the 11 lipid panel still achieved an accuracy of 0.9641 and an AUC of 0.9866. Interpretation The present study demonstrates the applicability and robustness of utilizing a machine learning algorithm to analyze lipidomic data for efficient and reliable biomarker screening. The 11 lipid biomarkers show great potential for the non-invasive diagnosis of MBGs with high throughput. Funding A full list of funding bodies that contributed to this study can be found in the Acknowledgments section.
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Affiliation(s)
- Juntuo Zhou
- Institute of Precision Medicine, Peking University Shenzhen Hospital, Shenzhen 518036, China; Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Nan Ji
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Guangxi Wang
- Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Yang Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Huajie Song
- Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Yuyao Yuan
- Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Chunyuan Yang
- Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Yan Jin
- Institute of Precision Medicine, Peking University Shenzhen Hospital, Shenzhen 518036, China
| | - Zhe Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Liwei Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, National Clinical Research Center for Neurological Diseases, Beijing 100070, China.
| | - Yuxin Yin
- Institute of Precision Medicine, Peking University Shenzhen Hospital, Shenzhen 518036, China; Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing 100191, China.
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42
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Parmigiani E, Ivanek R, Rolando C, Hafen K, Turchinovich G, Lehmann FM, Gerber A, Brkic S, Frank S, Meyer SC, Wakimoto H, Günel M, Louvi A, Mariani L, Finke D, Holländer G, Hutter G, Tussiwand R, Taylor V, Giachino C. Interferon-γ resistance and immune evasion in glioma develop via Notch-regulated co-evolution of malignant and immune cells. Dev Cell 2022; 57:1847-1865.e9. [PMID: 35803280 DOI: 10.1016/j.devcel.2022.06.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 05/04/2022] [Accepted: 06/10/2022] [Indexed: 12/14/2022]
Abstract
Immune surveillance is critical to prevent tumorigenesis. Gliomas evade immune attack, but the underlying mechanisms remain poorly understood. We show that glioma cells can sustain growth independent of immune system constraint by reducing Notch signaling. Loss of Notch activity in a mouse model of glioma impairs MHC-I and cytokine expression and curtails the recruitment of anti-tumor immune cell populations in favor of immunosuppressive tumor-associated microglia/macrophages (TAMs). Depletion of T cells simulates Notch inhibition and facilitates tumor initiation. Furthermore, Notch-depleted glioma cells acquire resistance to interferon-γ and TAMs re-educating therapy. Decreased interferon response and cytokine expression by human and mouse glioma cells correlate with low Notch activity. These effects are paralleled by upregulation of oncogenes and downregulation of quiescence genes. Hence, suppression of Notch signaling enables gliomas to evade immune surveillance and increases aggressiveness. Our findings provide insights into how brain tumor cells shape their microenvironment to evade immune niche control.
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Affiliation(s)
- Elena Parmigiani
- Embryology and Stem Cell Biology, Department of Biomedicine, University of Basel, Mattenstrasse 28, 4058 Basel, Switzerland
| | - Robert Ivanek
- Swiss Institute of Bioinformatics, Hebelstrasse 20, 4031 Basel, Switzerland; Bioinformatics Core Facility, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031 Basel, Switzerland
| | - Chiara Rolando
- Embryology and Stem Cell Biology, Department of Biomedicine, University of Basel, Mattenstrasse 28, 4058 Basel, Switzerland
| | - Katrin Hafen
- Pediatric Immunology, Department of Biomedicine, University of Basel, Mattenstrasse 28, 4058 Basel, Switzerland
| | - Gleb Turchinovich
- Developmental Immunology, Department of Biomedicine, University of Basel, Mattenstrasse 28, 4058 Basel, Switzerland; University Children's Hospital of Basel, University of Basel, Spitalstrasse 33, 4056, Basel, Switzerland
| | - Frank Michael Lehmann
- Developmental Immunology, Department of Biomedicine, University of Basel, Mattenstrasse 28, 4058 Basel, Switzerland; University Children's Hospital of Basel, University of Basel, Spitalstrasse 33, 4056, Basel, Switzerland
| | - Alexandra Gerber
- Brain Tumor Immunotherapy, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031 Basel, Switzerland
| | - Sime Brkic
- Department of Biomedicine, University Hospital Basel and University of Basel, Hebelstrasse 20, 4031 Basel, Switzerland
| | - Stephan Frank
- Division of Neuropathology, Institute of Pathology, University of Basel, Schoenbeinstrasse 40, 4031 Basel, Switzerland
| | - Sara C Meyer
- Department of Biomedicine, University Hospital Basel and University of Basel, Hebelstrasse 20, 4031 Basel, Switzerland; Division of Hematology, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Hiroaki Wakimoto
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Murat Günel
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06520-8082, USA
| | - Angeliki Louvi
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06520-8082, USA
| | - Luigi Mariani
- Department of Neurosurgery, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Daniela Finke
- Developmental Immunology, Department of Biomedicine, University of Basel, Mattenstrasse 28, 4058 Basel, Switzerland; University Children's Hospital of Basel, University of Basel, Spitalstrasse 33, 4056, Basel, Switzerland
| | - Georg Holländer
- Pediatric Immunology, Department of Biomedicine, University of Basel, Mattenstrasse 28, 4058 Basel, Switzerland; Weatherall Institute of Molecular Medicine and Department of Paediatrics, University of Oxford, Oxford OX3 9DU, UK; Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland
| | - Gregor Hutter
- Brain Tumor Immunotherapy, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031 Basel, Switzerland; Department of Neurosurgery, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Roxane Tussiwand
- Immune Regulation, Department of Biomedicine, University of Basel, Mattenstrasse 28, 4058 Basel, Switzerland
| | - Verdon Taylor
- Embryology and Stem Cell Biology, Department of Biomedicine, University of Basel, Mattenstrasse 28, 4058 Basel, Switzerland
| | - Claudio Giachino
- Embryology and Stem Cell Biology, Department of Biomedicine, University of Basel, Mattenstrasse 28, 4058 Basel, Switzerland.
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Crawford J, Christensen BC, Chikina M, Greene CS. Widespread redundancy in -omics profiles of cancer mutation states. Genome Biol 2022; 23:137. [PMID: 35761387 PMCID: PMC9238138 DOI: 10.1186/s13059-022-02705-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 06/14/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND In studies of cellular function in cancer, researchers are increasingly able to choose from many -omics assays as functional readouts. Choosing the correct readout for a given study can be difficult, and which layer of cellular function is most suitable to capture the relevant signal remains unclear. RESULTS We consider prediction of cancer mutation status (presence or absence) from functional -omics data as a representative problem that presents an opportunity to quantify and compare the ability of different -omics readouts to capture signals of dysregulation in cancer. From the TCGA Pan-Cancer Atlas that contains genetic alteration data, we focus on RNA sequencing, DNA methylation arrays, reverse phase protein arrays (RPPA), microRNA, and somatic mutational signatures as -omics readouts. Across a collection of genes recurrently mutated in cancer, RNA sequencing tends to be the most effective predictor of mutation state. We find that one or more other data types for many of the genes are approximately equally effective predictors. Performance is more variable between mutations than that between data types for the same mutation, and there is little difference between the top data types. We also find that combining data types into a single multi-omics model provides little or no improvement in predictive ability over the best individual data type. CONCLUSIONS Based on our results, for the design of studies focused on the functional outcomes of cancer mutations, there are often multiple -omics types that can serve as effective readouts, although gene expression seems to be a reasonable default option.
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Affiliation(s)
- Jake Crawford
- grid.25879.310000 0004 1936 8972Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Brock C. Christensen
- grid.254880.30000 0001 2179 2404Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH USA ,grid.254880.30000 0001 2179 2404Department of Molecular and Systems Biology, Geisel School of Medicine, Dartmouth College, Lebanon, NH USA
| | - Maria Chikina
- grid.21925.3d0000 0004 1936 9000Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA USA
| | - Casey S. Greene
- grid.430503.10000 0001 0703 675XDepartment of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO USA ,grid.430503.10000 0001 0703 675XCenter for Health AI, University of Colorado School of Medicine, Aurora, CO USA
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The Value of FET PET/CT in Recurrent Glioma with a Different IDH Mutation Status: The Relationship between Imaging and Molecular Biomarkers. Int J Mol Sci 2022; 23:ijms23126787. [PMID: 35743228 PMCID: PMC9224265 DOI: 10.3390/ijms23126787] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 06/14/2022] [Accepted: 06/14/2022] [Indexed: 12/04/2022] Open
Abstract
The evaluation of treatment response remains a challenge in glioma cases because the neuro oncological therapy can lead to the development of treatment-related changes (TRC) that mimic true progression (TP). Positron emission tomography (PET) using O-(2-[18F] fluoroethyl-)-L-tyrosine (18F-FET) has been shown to be a useful tool for detecting TRC and TP. We assessed the diagnostic performance of different 18F-FET PET segmentation approaches and different imaging biomarkers for differentiation between late TRC and TP in glioma patients. Isocitrate dehydrogenase (IDH) status was evaluated as a predictor of disease outcome. In our study, the proportion of TRC in IDH wild type (IDHwt) and IDH mutant (IDHm) subgroups was without significant difference. We found that the diagnostic value of static and dynamic biomarkers of 18F-FET PET for discrimination between TRC and TP depends on the IDH mutation status of the tumor. Dynamic 18F-FET PET acquisition proved helpful in the IDH wild type (IDHwt) subgroup, as opposed to the IDH mutant (IDHm) subgroup, providing an early indication to discontinue dynamic imaging in the IDHm subgroup.
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Roles of Notch Signaling in the Tumor Microenvironment. Int J Mol Sci 2022; 23:ijms23116241. [PMID: 35682918 PMCID: PMC9181414 DOI: 10.3390/ijms23116241] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 05/24/2022] [Accepted: 05/30/2022] [Indexed: 11/16/2022] Open
Abstract
The Notch signaling pathway is an architecturally simple signaling mechanism, well known for its role in cell fate regulation during organ development and in tissue homeostasis. In keeping with its importance for normal development, dysregulation of Notch signaling is increasingly associated with different types of tumors, and proteins in the Notch signaling pathway can act as oncogenes or tumor suppressors, depending on the cellular context and tumor type. In addition to a role as a driver of tumor initiation and progression in the tumor cells carrying oncogenic mutations, it is an emerging realization that Notch signaling also plays a role in non-mutated cells in the tumor microenvironment. In this review, we discuss how aberrant Notch signaling can affect three types of cells in the tumor stroma-cancer-associated fibroblasts, immune cells and vascular cells-and how this influences their interactions with the tumor cells. Insights into the roles of Notch in cells of the tumor environment and the impact on tumor-stroma interactions will lead to a deeper understanding of Notch signaling in cancer and inspire new strategies for Notch-based tumor therapy.
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Cao J, Lai H, Zhang J, Zhang J, Xie T, Wang H, Bu J, Feng Q, Huang M. 2D-3D cascade network for glioma segmentation in multisequence MRI images using multiscale information. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022; 221:106894. [PMID: 35613498 DOI: 10.1016/j.cmpb.2022.106894] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 04/21/2022] [Accepted: 05/14/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND OBJECTIVE Glioma segmentation is an important procedure for the treatment plan and follow-up evaluation of patients with glioma. UNet-based networks are widely used in medical image segmentation tasks and have achieved state-of-the-art performance. However, context information along the third dimension is ignored in 2D convolutions, whereas difference between z-axis and in-plane resolutions is large in 3D convolutions. Moreover, an original UNet structure cannot capture fine details because of the reduced resolution of feature maps near bottleneck layers. METHODS To address these issues, a novel 2D-3D cascade network with multiscale information module is proposed for the multiclass segmentation of gliomas in multisequence MRI images. First, a 2D network is applied to fully exploit potential intra-slice features. A variational autoencoder module is incorporated into 2D DenseUNet to regularize a shared encoder, extract useful information, and represent glioma heterogeneity. Second, we integrated 3D DenseUNet with the 2D network in cascade mode to extract useful inter-slice features and alleviate the influence of large difference between z-axis and in-plane resolutions. Moreover, a multiscale information module is used in the 2D and 3D networks to further capture the fine details of gliomas. Finally, the whole 2D-3D cascade network is trained in an end-to-end manner, where the intra-slice and inter-slice features are fused and optimized jointly to take full advantage of 3D image information. RESULTS Our method is evaluated on publicly available and clinical datasets and achieves competitive performance in these two datasets. CONCLUSIONS These results indicate that the proposed method may be a useful tool for glioma segmentation.
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Affiliation(s)
- Jianyun Cao
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China; Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Haoran Lai
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Jiawei Zhang
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Junde Zhang
- Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Tao Xie
- Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Heqing Wang
- Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Junguo Bu
- Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Qianjin Feng
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou 510515, China.
| | - Meiyan Huang
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou 510515, China.
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Goodman AL, Velázquez Vega JE, Glenn C, Olson JJ. Congress of neurological surgeons systematic review and evidence-based guidelines update on the role of neuropathology in the management of progressive glioblastoma in adults. J Neurooncol 2022; 158:179-224. [PMID: 35648306 DOI: 10.1007/s11060-022-04005-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 04/04/2022] [Indexed: 12/28/2022]
Abstract
TARGET POPULATION These recommendations apply to adult patients with progressive or recurrent glioblastoma (GBM). QUESTION For adult patients with progressive glioblastoma does testing for Isocitrate Dehydrogenase (IDH) 1 or 2 mutations provide new additional management or prognostic information beyond that derived from the tumor at initial presentation? RECOMMENDATION Level III: Repeat IDH mutation testing is not necessary if the tumor is histologically similar to the primary tumor and the patient's clinical course is as expected. QUESTION For adult patients with progressive glioblastoma does repeat testing for MGMT promoter methylation provide new or additional management or prognostic information beyond that derived from the tumor at initial presentation and what methods of detection are optimal? RECOMMENDATION Level III: Repeat MGMT promoter methylation is not recommended. QUESTION For adult patients with progressive glioblastoma does EGFR amplification or mutation testing provide management or prognostic information beyond that provided by histologic analysis and if performed on previous tissue samples, does it need to be repeated? RECOMMENDATION Level III: In cases that are difficult to classify as glioblastoma on histologic features EGFR amplification testing may help in classification. If a previous EGFR amplification was detected, repeat testing is not necessary. Repeat EGFR amplification or mutational testing may be recommended in patients in which target therapy is being considered. QUESTION For adult patients with progressive glioblastoma does large panel or whole genome sequencing provide management or prognostic information beyond that derived from histologic analysis? RECOMMENDATION Level III: Primary or repeat large panel or whole genome sequencing may be considered in patients who are eligible or interested in molecularly guided therapy or clinical trials. QUESTION For adult patients with progressive glioblastoma should immune checkpoint biomarker testing be performed to provide management and prognostic information beyond that obtained from histologic analysis? RECOMMENDATION Level III: The current evidence does not support making PD-L1 or mismatch repair (MMR) enzyme activity a component of standard testing. QUESTION For adult patients with progressive glioblastoma are there meaningful biomarkers for bevacizumab responsiveness and does their assessment provide additional information for tumor management and prognosis beyond that learned by standard histologic analysis? RECOMMENDATION Level III: No established Bevacizumab biomarkers are currently available based upon the inclusion criteria of this guideline.
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Affiliation(s)
- Abigail L Goodman
- Carolinas Pathology, Atrium Health Carolinas Medical Center, Charlotte, NC, USA.
| | - José E Velázquez Vega
- Department of Pathology and Laboratory Medicine, Children's Healthcare of Atlanta and Emory University, Atlanta, GA, USA
| | - Chad Glenn
- Department of Neurosurgery, Stephenson Cancer Center, The University of Oklahoma, Oklahoma City, OK, USA
| | - Jeffrey J Olson
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, USA
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Fan X, Zhang L, Huang J, Zhong Y, Fan Y, Zhou T, Lu M. An Integrated Immune-Related Bioinformatics Analysis in Glioma: Prognostic Signature’s Identification and Multi-Omics Mechanisms’ Exploration. Front Genet 2022; 13:889629. [PMID: 35601497 PMCID: PMC9114310 DOI: 10.3389/fgene.2022.889629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/18/2022] [Indexed: 12/05/2022] Open
Abstract
As the traditional treatment for glioma, the most common central nervous system malignancy with poor prognosis, the efficacy of high-intensity surgery combined with radiotherapy and chemotherapy is not satisfactory. The development of individualized scientific treatment strategy urgently requires the guidance of signature with clinical predictive value. In this study, five prognosis-related differentially expressed immune-related genes (PR-DE-IRGs) (CCNA2, HMGB2, CASP3, APOBEC3C, and BMP2) highly associated with glioma were identified for a prognostic model through weighted gene co-expression network analysis, univariate Cox and lasso regression. Kaplan-Meier survival curves, receiver operating characteristic curves and other methods have shown that the model has good performance in predicting the glioma patients’ prognosis. Further combined nomogram provided better predictive performance. The signature’s guiding value in clinical treatment has also been verified by multiple analysis results. We also constructed a comprehensive competing endogenous RNA (ceRNA) regulatory network based on the protective factor BMP2 to further explore its potential role in glioma progression. Numerous immune-related biological functions and pathways were enriched in a high-risk population. Further multi-omics integrative analysis revealed a strong correlation between tumor immunosuppressive environment/IDH1 mutation and signature, suggesting that their cooperation plays an important role in glioma progression.
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Affiliation(s)
- Xin Fan
- Department of Emergency Medicine, Shangrao Hospital Affiliated to Nanchang University, Shangrao People’s Hospital, Shangrao, China
- Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Lingling Zhang
- School of Stomatology, Nanchang University, Nanchang, China
| | - Junwen Huang
- The First Clinical Medical College of Nanchang University, Nanchang, China
| | - Yun Zhong
- The First Clinical Medical College of Nanchang University, Nanchang, China
| | - Yanting Fan
- The First Clinical Medical College of Nanchang University, Nanchang, China
| | - Tong Zhou
- Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Min Lu
- Department of Emergency Medicine, Shangrao Hospital Affiliated to Nanchang University, Shangrao People’s Hospital, Shangrao, China
- *Correspondence: Min Lu,
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Brat DJ, Aldape K, Bridge JA, Canoll P, Colman H, Hameed MR, Harris BT, Hattab EM, Huse JT, Jenkins RB, Lopez-Terrada DH, McDonald WC, Rodriguez FJ, Souter LH, Colasacco C, Thomas NE, Yount MH, van den Bent MJ, Perry A. Molecular Biomarker Testing for the Diagnosis of Diffuse Gliomas. Arch Pathol Lab Med 2022; 146:547-574. [PMID: 35175291 PMCID: PMC9311267 DOI: 10.5858/arpa.2021-0295-cp] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/19/2021] [Indexed: 11/06/2022]
Abstract
CONTEXT.— The diagnosis and clinical management of patients with diffuse gliomas (DGs) have evolved rapidly over the past decade with the emergence of molecular biomarkers that are used to classify, stratify risk, and predict treatment response for optimal clinical care. OBJECTIVE.— To develop evidence-based recommendations for informing molecular biomarker testing for pediatric and adult patients with DGs and provide guidance for appropriate laboratory test and biomarker selection for optimal diagnosis, risk stratification, and prediction. DESIGN.— The College of American Pathologists convened an expert panel to perform a systematic review of the literature and develop recommendations. A systematic review of literature was conducted to address the overarching question, "What ancillary tests are needed to classify DGs and sufficiently inform the clinical management of patients?" Recommendations were derived from quality of evidence, open comment feedback, and expert panel consensus. RESULTS.— Thirteen recommendations and 3 good practice statements were established to guide pathologists and treating physicians on the most appropriate methods and molecular biomarkers to include in laboratory testing to inform clinical management of patients with DGs. CONCLUSIONS.— Evidence-based incorporation of laboratory results from molecular biomarker testing into integrated diagnoses of DGs provides reproducible and clinically meaningful information for patient management.
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Affiliation(s)
- Daniel J. Brat
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Kenneth Aldape
- Laboratory of Pathology, National Cancer Institute, Bethesda, MD
| | - Julia A. Bridge
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE; Cytogenetics, ProPath, Dallas, TX
| | - Peter Canoll
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY
| | - Howard Colman
- Department of Neurosurgery and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Meera R. Hameed
- Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY
| | - Brent T. Harris
- Department of Neurology and Pathology, MedStar Georgetown University Hospital, Washington, DC
| | - Eyas M. Hattab
- Department of Pathology and Laboratory Medicine, University of Louisville, Louisville, KY
| | - Jason T. Huse
- Departments of Pathology and Translational Molecular Pathology, University of Texas MD, Anderson Cancer Center, Houston, TX
| | - Robert B. Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Dolores H. Lopez-Terrada
- Departments of Pathology and Pediatrics, Baylor College of Medicine and Texas Children’s Hospital, Houston, TX
| | | | | | | | | | | | | | - Martin J. van den Bent
- Brain Tumor Center at Erasmus MC Cancer Institute University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Arie Perry
- Departments of Pathology and Neurological Surgery University of California San Francisco School of Medicine, San Francisco, CA
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R132H IDH1 sensitizes glioma to the antiproliferative and cytotoxic effects of BET inhibition. J Cancer Res Clin Oncol 2022; 148:2275-2285. [PMID: 35467128 PMCID: PMC9349147 DOI: 10.1007/s00432-022-04018-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 04/04/2022] [Indexed: 11/27/2022]
Abstract
Introduction Mutations in isocitrate dehydrogenase 1/2 (IDHmut) identify a subset of gliomas that exhibit epigenetic dysregulation via aberrant DNA methylation. These tumors are ultimately fatal and lack effective therapeutic strategies. Considering the epigenetic dysregulation of IDHmut gliomas, we hypothesized that epigenetic-targeting drugs may yield therapeutic benefits in gliomas bearing IDHmut. One set of targets includes the bromodomain and extraterminal (BET) family of transcriptional coactivators. Methods We used TCGA data from glioma patients to determine whether BET proteins affect patient survival differently based on IDH status. Follow-up experiments using a set of IDH wildtype/mutant glioma cultures, as well as an IDH wildtype glioblastoma cell line expressing exogenous R132H IDH1, focused on cell health assays to investigate whether IDHmut was associated with increased sensitivity to the BET inhibitor JQ1. Immunoblots were used to evaluate the molecular response to JQ1 in these cultures. Results We identified that high BRD4 expression associated with decreased survival only in IDHmut glioma patients. Cell viability analysis showed that IDHmut sensitized glioma cells to delayed cytotoxicity (10 days) in response to JQ1. Early effects of JQ1 (3 days) were primarily antiproliferative, with IDHmut glioma exhibiting a modest increase in sensitivity. Finally, exogenous R132H IDH1 expression in a resistant IDH wildtype cell line recapitulated the JQ1-mediated delayed cytotoxicity seen in our endogenous IDHmut glioma cells. Conclusion Overall, these data suggest that BRD4 enhances malignancy primarily in gliomas bearing IDHmut and is associated with greater sensitivity to BET inhibition. The finding that BET inhibition primarily exhibits delayed cytotoxicity may be overlooked in conventional short endpoint dose–response assays. Follow-up mechanistic and animal studies will help address the translational potential of these findings. Supplementary Information The online version contains supplementary material available at 10.1007/s00432-022-04018-w.
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