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Haase S, Carney S, Varela ML, Mukherji D, Zhu Z, Li Y, Nuñez FJ, Lowenstein PR, Castro MG. Epigenetic reprogramming in pediatric gliomas: from molecular mechanisms to therapeutic implications. Trends Cancer 2024:S2405-8033(24)00196-1. [PMID: 39394009 DOI: 10.1016/j.trecan.2024.09.007] [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: 07/23/2024] [Revised: 09/11/2024] [Accepted: 09/18/2024] [Indexed: 10/13/2024]
Abstract
Brain tumors in children and adults differ greatly in patient outcomes and responses to radiotherapy and chemotherapy. Moreover, the prevalence of recurrent mutations in histones and chromatin regulatory proteins in pediatric and young adult gliomas suggests that the chromatin landscape is rewired to support oncogenic programs. These early somatic mutations dysregulate widespread genomic loci by altering the distribution of histone post-translational modifications (PTMs) and, in consequence, causing changes in chromatin accessibility and in the histone code, leading to gene transcriptional changes. We review how distinct chromatin imbalances in glioma subtypes impact on oncogenic features such as cellular fate, proliferation, immune landscape, and radio resistance. Understanding these mechanisms of epigenetic dysregulation carries substantial implications for advancing targeted epigenetic therapies.
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Affiliation(s)
- Santiago Haase
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Cell and Developmental Biology, Biomedical Science Research Building, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Biointerfaces Institute, BioInnovations in Brain Cancer Initiative (BIBC), University of Michigan, Ann Arbor, MI, 48109, USA
| | - Stephen Carney
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Cell and Developmental Biology, Biomedical Science Research Building, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Biointerfaces Institute, BioInnovations in Brain Cancer Initiative (BIBC), University of Michigan, Ann Arbor, MI, 48109, USA
| | - Maria Luisa Varela
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Cell and Developmental Biology, Biomedical Science Research Building, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Biointerfaces Institute, BioInnovations in Brain Cancer Initiative (BIBC), University of Michigan, Ann Arbor, MI, 48109, USA
| | - Devarshi Mukherji
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Cell and Developmental Biology, Biomedical Science Research Building, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Biointerfaces Institute, BioInnovations in Brain Cancer Initiative (BIBC), University of Michigan, 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, Biomedical Science Research Building, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Biointerfaces Institute, BioInnovations in Brain Cancer Initiative (BIBC), University of Michigan, Ann Arbor, MI, 48109, USA
| | - Yingxiang Li
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Cell and Developmental Biology, Biomedical Science Research Building, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Biointerfaces Institute, BioInnovations in Brain Cancer Initiative (BIBC), University of Michigan, Ann Arbor, MI, 48109, USA
| | - Felipe J Nuñez
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Cell and Developmental Biology, Biomedical Science Research Building, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Biointerfaces Institute, BioInnovations in Brain Cancer Initiative (BIBC), University of Michigan, Ann Arbor, MI, 48109, USA
| | - Pedro R Lowenstein
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Cell and Developmental Biology, Biomedical Science Research Building, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Biointerfaces Institute, BioInnovations in Brain Cancer Initiative (BIBC), University of Michigan, Ann Arbor, MI, 48109, USA
| | - Maria G Castro
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Cell and Developmental Biology, Biomedical Science Research Building, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Biointerfaces Institute, BioInnovations in Brain Cancer Initiative (BIBC), University of Michigan, Ann Arbor, MI, 48109, USA.
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Cini NT, Pennisi M, Genc S, Spandidos DA, Falzone L, Mitsias PD, Tsatsakis A, Taghizadehghalehjoughi A. Glioma lateralization: Focus on the anatomical localization and the distribution of molecular alterations (Review). Oncol Rep 2024; 52:139. [PMID: 39155859 PMCID: PMC11358673 DOI: 10.3892/or.2024.8798] [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: 07/21/2023] [Accepted: 07/31/2024] [Indexed: 08/20/2024] Open
Abstract
It is well known how the precise localization of glioblastoma multiforme (GBM) predicts the direction of tumor spread in the surrounding neuronal structures. The aim of the present review is to reveal the lateralization of GBM by evaluating the anatomical regions where it is frequently located as well as the main molecular alterations observed in different brain regions. According to the literature, the precise or most frequent lateralization of GBM has yet to be determined. However, it can be said that GBM is more frequently observed in the frontal lobe. Tractus and fascicles involved in GBM appear to be focused on the corticospinal tract, superior longitudinal I, II and III fascicles, arcuate fascicle long segment, frontal strait tract, and inferior fronto‑occipital fasciculus. Considering the anatomical features of GBM and its brain involvement, it is logical that the main brain regions involved are the frontal‑temporal‑parietal‑occipital lobes, respectively. Although tumor volumes are higher in the right hemisphere, it has been determined that the prognosis of patients diagnosed with cancer in the left hemisphere is worse, probably reflecting the anatomical distribution of some detrimental alterations such as TP53 mutations, PTEN loss, EGFR amplification, and MGMT promoter methylation. There are theories stating that the right hemisphere is less exposed to external influences in its development as it is responsible for the functions necessary for survival while tumors in the left hemisphere may be more aggressive. To shed light on specific anatomical and molecular features of GBM in different brain regions, the present review article is aimed at describing the main lateralization pathways as well as gene mutations or epigenetic modifications associated with the development of brain tumors.
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Affiliation(s)
- Nilgun Tuncel Cini
- Department of Anatomy, Faculty of Medicine, Bilecik Şeyh Edebali University, Bilecik 11230, Turkey
| | - Manuela Pennisi
- Department of Biomedical and Biotechnological Sciences, University of Catania, I-95123 Catania, Italy
| | - Sidika Genc
- Department of Pharmacology, Faculty of Medicine, Bilecik Şeyh Edebali University, Bilecik 11230, Turkey
| | - Demetrios A. Spandidos
- Laboratory of Clinical Virology, School of Medicine, University of Crete, 71003 Heraklion, Greece
| | - Luca Falzone
- Department of Biomedical and Biotechnological Sciences, University of Catania, I-95123 Catania, Italy
| | - Panayiotis D. Mitsias
- Department of Neurology, School of Medicine, University of Crete, 71003 Heraklion, Greece
| | - Aristides Tsatsakis
- Department of Forensic Sciences and Toxicology, Faculty of Medicine, University of Crete, 71003 Heraklion, Greece
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Barone TA, Robinson DL, Qiu J, Gurova KV, Purmal AA, Gudkov AV, Plunkett RJ. FACT inhibitor CBL0137, administered in an optimized schedule, potentiates radiation therapy for glioblastoma by suppressing DNA damage repair. J Neurooncol 2024:10.1007/s11060-024-04819-8. [PMID: 39251545 DOI: 10.1007/s11060-024-04819-8] [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: 07/30/2024] [Accepted: 08/30/2024] [Indexed: 09/11/2024]
Abstract
PURPOSE Standard-of-care for glioblastoma remains surgical debulking followed by temozolomide and radiation. However, many tumors become radio-resistant while radiation damages surrounding brain tissue. Novel therapies are needed to increase the effectiveness of radiation and reduce the required radiation dose. Drug candidate CBL0137 is efficacious against glioblastoma by inhibiting histone chaperone FACT, known to be involved in DNA damage repair. We investigated the combination of CBL0137 and radiation on glioblastoma. METHODS In vitro, we combined CBL0137 with radiation on U87MG and A1207 glioblastoma cells using the clonogenic assay to evaluate the response to several treatment regimens, and the Fast Halo Assay to examine DNA repair. In vivo, we used the optimum combination treatment regimen to evaluate the response of orthotopic tumors in nude mice. RESULTS In vitro, the combination of CBL0137 and radiation is superior to either alone and administering CBL0137 two hours prior to radiation, having the drug present during and for a prolonged period post-radiation, is an optimal schedule. CBL0137 inhibits DNA damage repair following radiation and affects the subcellular distribution of histone chaperone ATRX, a molecule involved in DNA repair. In vivo, one dose of CBL0137 is efficacious and the combination of CBL0137 with radiation increases median survival over either monotherapy. CONCLUSIONS CBL0137 is most effective with radiation for glioblastoma when present at the time of radiation, immediately after and for a prolonged period post-radiation, by inhibiting DNA repair caused by radiation. The combination leads to increased survival making it attractive as a dual therapy.
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Affiliation(s)
- Tara A Barone
- Department of Neuro-Oncology, Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY, 14263, USA.
| | - Denisha L Robinson
- Department of Cell Stress Biology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Jingxin Qiu
- Department of Pathology and Laboratory Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Katerina V Gurova
- Department of Cell Stress Biology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | | | - Andrei V Gudkov
- Department of Cell Stress Biology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Robert J Plunkett
- Department of Neuro-Oncology, Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY, 14263, USA
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Barone TA, Robinson DL, Qiu J, Gurova KV, Purmal AA, Gudkov AV, Plunkett RJ. FACT inhibitor CBL0137, administered in an optimized schedule, potentiates radiation therapy for glioblastoma by suppressing DNA damage repair. RESEARCH SQUARE 2024:rs.3.rs-4830689. [PMID: 39315270 PMCID: PMC11419263 DOI: 10.21203/rs.3.rs-4830689/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
Purpose Standard-of-care for glioblastoma remains surgical debulking followed by temozolomide and radiation. However, many tumors become radio-resistant while radiation damages surrounding brain tissue. Novel therapies are needed to increase the effectiveness of radiation and reduce the required radiation dose. Drug candidate CBL0137 is efficacious against glioblastoma by inhibiting histone chaperone FACT, known to be involved in DNA damage repair. We investigated the combination of CBL0137 and radiation on glioblastoma. Methods In vitro, we combined CBL0137 with radiation on U87MG and A1207 glioblastoma cells using the clonogenic assay to evaluate the response to several treatment regimens, and the Fast Halo Assay to examine DNA repair. In vivo, we used the optimum combination treatment regimen to evaluate the response of orthotopic tumors in nude mice. Results In vitro, the combination of CBL0137 and radiation is superior to either alone and administering CBL0137 two hours prior to radiation, having the drug present during and for a prolonged period post-radiation, is an optimal schedule. CBL0137 inhibits DNA damage repair following radiation and affects the subcellular distribution of histone chaperone ATRX, a molecule involved in DNA repair. In vivo, one dose of CBL0137 is efficacious and the combination of CBL0137 with radiation increases median survival over either monotherapy. Conclusions CBL0137 is most effective with radiation for glioblastoma when present at the time of radiation, immediately after and for a prolonged period post-radiation, by inhibiting DNA repair caused by radiation. The combination leads to increased survival making it attractive as a dual therapy.
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Yoel A, Adjumain S, Liang Y, Daniel P, Firestein R, Tsui V. Emerging and Biological Concepts in Pediatric High-Grade Gliomas. Cells 2024; 13:1492. [PMID: 39273062 PMCID: PMC11394548 DOI: 10.3390/cells13171492] [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: 06/27/2024] [Revised: 08/09/2024] [Accepted: 08/21/2024] [Indexed: 09/15/2024] Open
Abstract
Primary central nervous system tumors are the most frequent solid tumors in children, accounting for over 40% of all childhood brain tumor deaths, specifically high-grade gliomas. Compared with pediatric low-grade gliomas (pLGGs), pediatric high-grade gliomas (pHGGs) have an abysmal survival rate. The WHO CNS classification identifies four subtypes of pHGGs, including Grade 4 Diffuse midline glioma H3K27-altered, Grade 4 Diffuse hemispheric gliomas H3-G34-mutant, Grade 4 pediatric-type high-grade glioma H3-wildtype and IDH-wildtype, and infant-type hemispheric gliomas. In recent years, we have seen promising advancements in treatment strategies for pediatric high-grade gliomas, including immunotherapy, CAR-T cell therapy, and vaccine approaches, which are currently undergoing clinical trials. These therapies are underscored by the integration of molecular features that further stratify HGG subtypes. Herein, we will discuss the molecular features of pediatric high-grade gliomas and the evolving landscape for treating these challenging tumors.
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Affiliation(s)
- Abigail Yoel
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC 3168, Australia
- Department of Molecular and Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3168, Australia
| | - Shazia Adjumain
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC 3168, Australia
- Department of Molecular and Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3168, Australia
| | - Yuqing Liang
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC 3168, Australia
- Department of Molecular and Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3168, Australia
| | - Paul Daniel
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC 3168, Australia
- Department of Molecular and Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3168, Australia
| | - Ron Firestein
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC 3168, Australia
- Department of Molecular and Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3168, Australia
| | - Vanessa Tsui
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC 3168, Australia
- Department of Molecular and Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3168, Australia
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Ordónez-Rubiano EG, Cómbita A, Baldoncini M, Payán-Gómez C, Gómez-Amarillo DF, Hakim F, Camargo J, Zorro-Sepúlveda V, Luzzi S, Zorro O, Parra-Medina R. Cellular Senescence in Diffuse Gliomas: From Physiopathology to Possible Treatments. World Neurosurg 2024; 191:138-148. [PMID: 39233309 DOI: 10.1016/j.wneu.2024.08.060] [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: 08/07/2024] [Accepted: 08/09/2024] [Indexed: 09/06/2024]
Abstract
Cellular senescence in gliomas is a complex process that is induced by aging and replication, ionizing radiation, oncogenic stress, and the use of temozolomide. However, the escape routes that gliomas must evade senescence and achieve cellular immortality are much more complex, in which the expression of telomerase and the alternative lengthening of telomeres, as well as the mutation of some proto-oncogenes or tumor suppressor genes, are involved. In gliomas, these molecular mechanisms related to cellular senescence can have a tumor-suppressing or promoting effect and are directly involved in tumor recurrence and progression. From these cellular mechanisms related to cellular senescence, it is possible to generate targeted senostatic and senolytic therapies that improve the response to currently available treatments and improve survival rates. This review aims to summarize the mechanisms of induction and evasion of cellular senescence in gliomas, as well as review possible treatments with therapies targeting pathways related to cellular senescence.
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Affiliation(s)
- Edgar G Ordónez-Rubiano
- Department of Neurological Surgery, Fundación Universitaria de Ciencias de la Salud (FUCS), Hospital de San José - Sociedad de Cirugía de Bogotá, Bogotá, Colombia; School of Medicine, Universidad Nacional de Colombia, Bogotá, Colombia; Department of Neurosurgery, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia.
| | - Alba Cómbita
- Department of Neurosurgery, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia; Department of Microbiology, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Matías Baldoncini
- School of Medicine, Laboratory of Microsurgical Neuroanatomy, Second Chair of Gross Anatomy, University of Buenos Aires, Buenos Aires, Argentina; Department of Neurological Surgery, Hospital San Fernando, Buenos Aires, Argentina
| | - César Payán-Gómez
- Dirección Académica, Universidad Nacional de Colombia, Sede de La Paz, La Paz, Colombia
| | - Diego F Gómez-Amarillo
- Department of Neurosurgery, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - Fernando Hakim
- Department of Neurosurgery, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - Julián Camargo
- Department of Neurosurgery, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | | | - Sabino Luzzi
- Neurosurgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Oscar Zorro
- Department of Neurological Surgery, Fundación Universitaria de Ciencias de la Salud (FUCS), Hospital de San José - Sociedad de Cirugía de Bogotá, Bogotá, Colombia
| | - Rafael Parra-Medina
- Department of Pathology, Instituto Nacional de Cancerología, Bogotá, Colombia; Research Institute, Fundación Universitaria de Ciencias de la Salud (FUCS), Hospital de San José - Sociedad de Cirugía de Bogotá, Bogotá, Colombia
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Lin X, Wang C, Zheng J, Liu M, Li M, Xu H, Dong H. Image Omics Nomogram Based on Incoherent Motion Diffusion-Weighted Imaging in Voxels Predicts ATRX Gene Mutation Status of Brain Glioma Patients. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024; 37:1336-1345. [PMID: 38378963 PMCID: PMC11300756 DOI: 10.1007/s10278-024-00984-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 11/04/2023] [Accepted: 11/14/2023] [Indexed: 02/22/2024]
Abstract
This study aimed to construct an imaging genomics nomogram based on intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) to predict the status of the alpha thalassemia/mental retardation syndrome X-linked (ATRX) gene in patients with brain gliomas. We retrospectively analyzed routine MR and IVIM-DWI data from 85 patients with pathologically confirmed brain gliomas from January 2017 to May 2023. The data were divided into a training set (N=61) and a test set (N=24) in a 7:3 ratio. Regions of interest (ROIs) of brain gliomas, including the solid tumor region (rCET), edema region (rE), and necrotic region (rNec), were delineated using 3D-Slicer software and projected onto the D, D*, and f sequences. A total of 1037 features were extracted from each ROI, resulting in 3111 features per patient. Age was incorporated in the calculation of the Radscore, and a clinical-imaging genomics combined model was constructed, from which a nomogram graph was generated. Separate models were built for the D, D*, and f parameters. The AUC value of the D parameter model was 0.97 (95% CI: 0.93-1.00) in the training set and 0.91 (95% CI: 0.79-1.00) in the validation set, which was significantly higher than that of the D* parameter model (0.90, 0.82) and the f parameter model (0.89, 0.91). The imaging genomics nomogram based on IVIM-DWI can effectively predict the ATRX gene status of patients with brain gliomas, with the D parameter showing the highest efficacy.
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Affiliation(s)
- Xueyao Lin
- Department of Radiology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China
| | - Chaochao Wang
- Department of Radiology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China
| | - Jingjing Zheng
- Department of Radiology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China
| | - Mengru Liu
- Department of Radiology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China
| | - Ming Li
- Department of Radiology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China
| | - Hongbin Xu
- Department of Radiology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China
| | - Haibo Dong
- Department of Radiology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
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Zhao Y, Chen Y, Liu R, Liu M, You N, Zhao K, Zhang J, Xu B. Knockdown of ATRX enhances radiosensitivity in glioblastoma. Chin Neurosurg J 2024; 10:19. [PMID: 38898533 PMCID: PMC11186225 DOI: 10.1186/s41016-024-00371-6] [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: 03/19/2024] [Accepted: 06/03/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Glioblastoma are highly malignant type of primary brain tumors. Treatment for glioblastoma multiforme (GBM) generally involves surgery combined with chemotherapy and radiotherapy. However, the development of tumoral chemo- and radioresistance induces complexities in clinical practice. Multiple signaling pathways are known to be involved in radiation-induced cell survival. However, the role of alpha-thalassemia X-linked mutant retardation syndrome (ATRX), a chromatin remodeling protein, in GBM radioresistance remains unclear. METHODS In the present study, the ATRX mutation rate in patients with glioma was obtained from The Cancer Genome Atlas, while its expression analyzed using bioinformatics. Datasets were also obtained from the Gene Expression Omnibus, and ATRX expression levels following irradiation of GBM were determined. The effects of ATRX on radiosensitivity were investigated using a knockdown assays. RESULTS The present study demonstrated that the ATRX mutation rate in patients with GBM was significantly lower than that in patients with low-grade glioma, and that patients harboring an ATRX mutation exhibited a prolonged survival, compared with to those harboring the wild-type gene. Single-cell RNA sequencing demonstrated that ATRX counts increased 2 days after irradiation, with ATRX expression levels also increasing in U-251MG radioresistant cells. Moreover, the results of in vitro irradiation assays revealed that ATRX expression was increased in U-251MG cells, while ATRX knockdown was associated with increased levels of radiosensitivity. CONCLUSIONS High ATRX expression levels in primary GBM may contribute to high levels of radioresistance. Thus ATRX is a potential target for overcoming the radioresistance in GBM.
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Affiliation(s)
- Yue Zhao
- Medical School of Chinese PLA, Beijing, 100853, China
- Department of Emergency Medicine, Hainan Hospital of Chinese PLA General Hospital, Sanya, 572014, Hainan, China
- Department of Neurosurgery, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Yifei Chen
- Center of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing, 100850, China
| | - Ruoyu Liu
- Department of Neurosurgery, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Minghang Liu
- Medical School of Chinese PLA, Beijing, 100853, China
- Department of Neurosurgery, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Na You
- Medical School of Chinese PLA, Beijing, 100853, China
- Department of Neurosurgery, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Kai Zhao
- Department of Neurosurgery, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Jiashu Zhang
- Department of Neurosurgery, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Bainan Xu
- Department of Neurosurgery, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
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Zhuang K, Leng L, Su X, Wang S, Su Y, Chen Y, Yuan Z, Zi L, Li J, Xie W, Yan S, Xia Y, Wang H, Li H, Chen Z, Yuan T, Zhang J. Menin Deficiency Induces Autism-Like Behaviors by Regulating Foxg1 Transcription and Participates in Foxg1-Related Encephalopathy. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2307953. [PMID: 38582517 PMCID: PMC11200012 DOI: 10.1002/advs.202307953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 03/18/2024] [Indexed: 04/08/2024]
Abstract
FOXG1 syndrome is a developmental encephalopathy caused by FOXG1 (Forkhead box G1) mutations, resulting in high phenotypic variability. However, the upstream transcriptional regulation of Foxg1 expression remains unclear. This report demonstrates that both deficiency and overexpression of Men1 (protein: menin, a pathogenic gene of MEN1 syndrome known as multiple endocrine neoplasia type 1) lead to autism-like behaviors, such as social defects, increased repetitive behaviors, and cognitive impairments. Multifaceted transcriptome analyses revealed that Foxg1 signaling is predominantly altered in Men1 deficiency mice, through its regulation of the Alpha Thalassemia/Mental Retardation Syndrome X-Linked (Atrx) factor. Atrx recruits menin to bind to the transcriptional start region of Foxg1 and mediates the regulation of Foxg1 expression by H3K4me3 (Trimethylation of histone H3 lysine 4) modification. The deficits observed in menin deficient mice are rescued by the over-expression of Foxg1, leading to normalized spine growth and restoration of hippocampal synaptic plasticity. These findings suggest that menin may have a putative role in the maintenance of Foxg1 expression, highlighting menin signaling as a potential therapeutic target for Foxg1-related encephalopathy.
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Affiliation(s)
- Kai Zhuang
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Lige Leng
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Xiao Su
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Shuzhong Wang
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Yuemin Su
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Yanbing Chen
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Ziqi Yuan
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Liu Zi
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Jieyin Li
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Wenting Xie
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Sihan Yan
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Yujun Xia
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Han Wang
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Huifang Li
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Zhenyi Chen
- Department of AnesthesiologyFirst Affiliated HospitalCollege of MedicineXiamen UniversityXiamenFujian361105China
| | - Tifei Yuan
- Shanghai Mental Health CenterShanghai Jiaotong University School of MedicineShanghai200030China
| | - Jie Zhang
- Institute of NeuroscienceCollege of MedicineXiamen UniversityXiamenFujian361105China
- Department of AnesthesiologyFirst Affiliated HospitalCollege of MedicineXiamen UniversityXiamenFujian361105China
- The Key Laboratory of Neural and Vascular BiologyMinistry of EducationCollege of Basic MedicineHebei Medical UniversityShijiazhuang050017China
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10
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Zou C, Huang R, Lin T, Wang Y, Tu J, Zhang L, Wang B, Huang J, Zhao Z, Xie X, Huang G, Wang K, Yin J, Shen J. Age-dependent molecular variations in osteosarcoma: implications for precision oncology across pediatric, adolescent, and adult patients. Front Oncol 2024; 14:1382276. [PMID: 38841159 PMCID: PMC11150704 DOI: 10.3389/fonc.2024.1382276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 04/19/2024] [Indexed: 06/07/2024] Open
Abstract
Background Osteosarcoma is a leading subtype of bone tumor affecting adolescents and adults. Comparative molecular characterization among different age groups, especially in pediatric, adolescents and adults, is scarce. Methods We collected samples from 194 osteosarcoma patients, encompassing pediatric, adolescent, and adult cohorts. Genomic analyses were conducted to reveal prevalent mutations and compare molecular features in pediatric, adolescent, and adult patients. Results Samples from 194 osteosarcoma patients across pediatric to adult ages were analyzed, revealing key mutations such as TP53, FLCN, NCOR1, and others. Children and adolescents showed more gene amplifications and HRD mutations, while adults had a greater Tumor Mutational Burden (TMB). Mutations in those over 15 were mainly in cell cycle and PI3K/mTOR pathways, while under 15s had more in cell cycle and angiogenesis with higher VEGFA, CCND3, TFEB mutations. CNV patterns varied with age: VEGFA and XPO5 amplifications more in under 25s, and CDKN2A/B deletions in over 25s. Genetic alterations in genes like MCL1 and MYC were associated with poor prognosis, with VEGFA mutations also indicating worse outcomes. 58% of patients had actionable mutations, suggesting opportunities for targeted therapies. Age-specific patterns were observed, with Multi-TKI mutations more common in younger patients and CDK4/6 inhibitor mutations in adults, highlighting the need for personalized treatment approaches in osteosarcoma. In a small group of patients with VEGFR amplification, postoperative treatment with multi-kinase inhibitors resulted in a PR in 3 of 13 cases, especially in patients under 15. A significant case involved a 13-year-old with a notable tumor size reduction achieving PR, even with other genetic alterations present in some patients with PD. Conclusion This study delineates the molecular differences among pediatric, adolescent, and adult osteosarcoma patients at the genomic level, emphasizing the necessity for precision diagnostics and treatment strategies, and may offer novel prognostic biomarkers for patients with osteosarcoma. These findings provide a significant scientific foundation for the development of individualized treatment approaches tailored to patients of different age groups.
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Affiliation(s)
- Changye Zou
- Department of Musculoskeletal Oncology Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Renxuan Huang
- Department of Musculoskeletal Oncology Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Tiao Lin
- Department of Musculoskeletal Oncology Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | | | - Jian Tu
- Department of Musculoskeletal Oncology Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | | | - Bo Wang
- Department of Musculoskeletal Oncology Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | | | - Zhiqiang Zhao
- Department of Musculoskeletal Oncology Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xianbiao Xie
- Department of Musculoskeletal Oncology Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Gang Huang
- Department of Musculoskeletal Oncology Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | | | - Junqiang Yin
- Department of Musculoskeletal Oncology Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jingnan Shen
- Department of Musculoskeletal Oncology Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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11
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Soni N, Agarwal A, Ajmera P, Mehta P, Gupta V, Vibhute M, Gubbiotti M, Mark IT, Messina SA, Mohan S, Bathla G. High-Grade Astrocytoma with Piloid Features: A Dual Institutional Review of Imaging Findings of a Novel Entity. AJNR Am J Neuroradiol 2024; 45:468-474. [PMID: 38485198 PMCID: PMC11288576 DOI: 10.3174/ajnr.a8166] [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: 10/31/2023] [Accepted: 12/21/2023] [Indexed: 04/10/2024]
Abstract
High-grade astrocytoma with piloid features (HGAP) is a recently identified brain tumor characterized by a distinct DNA methylation profile. Predominantly located in the posterior fossa of adults, HGAP is notably prevalent in individuals with neurofibromatosis type 1. We present an image-centric review of HGAP and explore the association between HGAP and neurofibromatosis type 1. Data were collected from 8 HGAP patients treated at two tertiary care institutions between January 2020 and October 2023. Demographic details, clinical records, management, and tumor molecular profiles were analyzed. Tumor characteristics, including location and imaging features on MR imaging, were reviewed. Clinical or imaging features suggestive of neurofibromatosis 1 or the presence of NF1 gene alteration were documented. The mean age at presentation was 45.5 years (male/female = 5:3). Tumors were midline, localized in the posterior fossa (n = 4), diencephalic/thalamic (n = 2), and spinal cord (n = 2). HGAP lesions were T1 hypointense, T2-hyperintense, mostly without diffusion restriction, predominantly peripheral irregular enhancement with central necrosis (n = 3) followed by mixed heterogeneous enhancement (n = 2). Two NF1 mutation carriers showed signs of neurofibromatosis type 1 before HGAP diagnosis, with one diagnosed during HGAP evaluation, strengthening the HGAP-NF1 link, particularly in patients with posterior fossa masses. All tumors were IDH1 wild-type, often with ATRX, CDKN2A/B, and NF1 gene alteration. Six patients underwent surgical resection followed by adjuvant chemoradiation. Six patients were alive, and two died during the last follow-up. Histone H3 mutations were not detected in our cohort, such as the common H3K27M typically seen in diffuse midline gliomas, linked to aggressive clinical behavior and poor prognosis. HGAP lesions may involve the brain or spine and tend to be midline or paramedian in location. Underlying neurofibromatosis type 1 diagnosis or imaging findings are important diagnostic cues.
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Affiliation(s)
- Neetu Soni
- From the Mayo Clinic (N.S., A.A., V.G.), Jacksonville, Florida
| | - Amit Agarwal
- From the Mayo Clinic (N.S., A.A., V.G.), Jacksonville, Florida
| | - Pranav Ajmera
- Mayo Clinic (P.A., P.M., I.T.M., S.A.M., G.B.), Rochester, Minnesota
| | - Parv Mehta
- Mayo Clinic (P.A., P.M., I.T.M., S.A.M., G.B.), Rochester, Minnesota
| | - Vivek Gupta
- From the Mayo Clinic (N.S., A.A., V.G.), Jacksonville, Florida
| | - Mukta Vibhute
- College of Medicine (M.V.), St. George's University, Grenada, West Indies
| | - Maria Gubbiotti
- MD Anderson Cancer Center (M.G.), University of Texas, Houston, Texas
| | - Ian T Mark
- Mayo Clinic (P.A., P.M., I.T.M., S.A.M., G.B.), Rochester, Minnesota
| | - Steven A Messina
- Mayo Clinic (P.A., P.M., I.T.M., S.A.M., G.B.), Rochester, Minnesota
| | - Suyash Mohan
- Perelman School of Medicine (S.M.), University of Pennsylvania, Philadelphia, Pennsylvania
| | - Girish Bathla
- Mayo Clinic (P.A., P.M., I.T.M., S.A.M., G.B.), Rochester, Minnesota
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12
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Fares J, Wan Y, Mair R, Price SJ. Molecular diversity in isocitrate dehydrogenase-wild-type glioblastoma. Brain Commun 2024; 6:fcae108. [PMID: 38646145 PMCID: PMC11032202 DOI: 10.1093/braincomms/fcae108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 01/15/2024] [Accepted: 03/26/2024] [Indexed: 04/23/2024] Open
Abstract
In the dynamic landscape of glioblastoma, the 2021 World Health Organization Classification of Central Nervous System tumours endeavoured to establish biological homogeneity, yet isocitrate dehydrogenase-wild-type (IDH-wt) glioblastoma persists as a tapestry of clinical and molecular diversity. Intertumoural heterogeneity in IDH-wt glioblastoma presents a formidable challenge in treatment strategies. Recent strides in genetics and molecular biology have enhanced diagnostic precision, revealing distinct subtypes and invasive patterns that influence survival in patients with IDH-wt glioblastoma. Genetic and molecular biomarkers, such as the overexpression of neurofibromin 1, phosphatase and tensin homolog and/or cyclin-dependent kinase inhibitor 2A, along with specific immune cell abundance and neurotransmitters, correlate with favourable outcomes. Conversely, increased expression of epidermal growth factor receptor tyrosine kinase, platelet-derived growth factor receptor alpha and/or vascular endothelial growth factor receptor, coupled with the prevalence of glioma stem cells, tumour-associated myeloid cells, regulatory T cells and exhausted effector cells, signifies an unfavourable prognosis. The methylation status of O6-methylguanine-DNA methyltransferase and the influence of microenvironmental factors and neurotransmitters further shape treatment responses. Understanding intertumoural heterogeneity is complemented by insights into intratumoural dynamics and cellular interactions within the tumour microenvironment. Glioma stem cells and immune cell composition significantly impact progression and outcomes, emphasizing the need for personalized therapies targeting pro-tumoural signalling pathways and resistance mechanisms. A successful glioblastoma management demands biomarker identification, combination therapies and a nuanced approach considering intratumoural variability. These advancements herald a transformative era in glioblastoma comprehension and treatment.
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Affiliation(s)
- Jawad Fares
- Academic Neurosurgery Division, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
- Cambridge Brain Tumour Imaging Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Yizhou Wan
- Academic Neurosurgery Division, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
- Cambridge Brain Tumour Imaging Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Richard Mair
- Academic Neurosurgery Division, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Stephen J Price
- Academic Neurosurgery Division, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
- Cambridge Brain Tumour Imaging Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
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13
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Squalli Houssaini A, Lamrabet S, Senhaji N, Sekal M, Nshizirungu JP, Mahfoudi H, Elfakir S, Karkouri M, Bennis S. Prognostic Value of ATRX and p53 Status in High-Grade Glioma Patients in Morocco. Cureus 2024; 16:e56361. [PMID: 38633919 PMCID: PMC11022269 DOI: 10.7759/cureus.56361] [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] [Accepted: 03/18/2024] [Indexed: 04/19/2024] Open
Abstract
INTRODUCTION Glioblastoma and astrocytoma, grade 4, are the most common and aggressive brain tumors. Several biomarkers, such as the isocitrate dehydrogenase mutation (IDH-1), alpha-thalassemia/mental retardation, and the X-linked mutation (ATRX), enable more accurate glioma classification and facilitate patient management. This study aimed to determine the prognostic value of clinical and molecular factors (IDH, TP53, and ATRX mutations). We also studied the relationship between these molecular markers and the overall survival (OS) of 126 patients with grade 4 glioblastoma/astrocytoma. METHODS The immunohistochemical study was conducted using antibodies namely, IDH1, R132H, p53, and ATRX. Statistical tests were used to investigate factors that might influence overall survival using IBM SPSS Statistics, version 25.0 (IBM Corp., Armonk, NY). RESULTS The median age at diagnosis was 51.5 years. Patients with a Karnofsky performance score (KPS) <70 presented less favorable survival outcomes compared to those with a KPS ≥70. The median OS for patients was found to be 11.17 months. Expression of IDH1 R132H was found in 13.5% of patients, p53 overexpression was identified in 55.6% of cases, and loss of ATRX expression was detected in 11.9%. The group of patients with IDH mutant/ATRX mutant/p53 wild-type had the best prognosis (OS = 27.393 months; p = 0.015). Our results were in line with previous studies. CONCLUSION The clinical value of IDH and ATRX mutations in prognostic assessment was confirmed (p ≤0.05). The overexpression of p53 had no significant impact on OS (p = 0.726). Therefore, p53 alone cannot predict survival in glioblastoma patients. Based on the results, these biomarkers may be a potential therapeutic target to prolong patient survival, hence the need for further investigations.
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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, MAR
| | - Salma Lamrabet
- Laboratory of Biomedical and Translational Research, Faculty of Medicine, Pharmacy, and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez, MAR
| | - Nadia Senhaji
- Department of Biology, Faculty of Sciences, Moulay Ismail University, Meknes, MAR
| | - 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, MAR
| | - Jean Paul Nshizirungu
- Department of Biology, School of Science, College of Science and Technology, University of Rwanda, Kigali, RWA
| | - Hajar Mahfoudi
- Laboratory of Epidemiology and Research in Health Sciences, Faculty of Medicine, Pharmacy and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez, MAR
| | - Samira Elfakir
- Laboratory of Epidemiology and Research in Health Sciences, Faculty of Medicine, Pharmacy, and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez, MAR
| | - Mehdi Karkouri
- Department of Pathology, Ibn Rochd University Hospital Center, Casablanca, MAR
- Department of Pathology, Faculty of Medicine and Pharmacy, Hassan II University of Casablanca, Casablanca, MAR
| | - Sanae Bennis
- Laboratory of Biomedical and Translational Research, Faculty of Medicine, Pharmacy, and Dental Medicine of Fez, Sidi Mohamed Ben Abdellah University, Fez, MAR
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14
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Pinto LM, Pailas A, Bondarchenko M, Sharma AB, Neumann K, Rizzo AJ, Jeanty C, Nicot N, Racca C, Graham MK, Naughton C, Liu Y, Chen CL, Meakin PJ, Gilbert N, Britton S, Meeker AK, Heaphy CM, Larminat F, Van Dyck E. DAXX promotes centromeric stability independently of ATRX by preventing the accumulation of R-loop-induced DNA double-stranded breaks. Nucleic Acids Res 2024; 52:1136-1155. [PMID: 38038252 PMCID: PMC10853780 DOI: 10.1093/nar/gkad1141] [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: 08/02/2022] [Revised: 11/08/2023] [Accepted: 11/13/2023] [Indexed: 12/02/2023] Open
Abstract
Maintaining chromatin integrity at the repetitive non-coding DNA sequences underlying centromeres is crucial to prevent replicative stress, DNA breaks and genomic instability. The concerted action of transcriptional repressors, chromatin remodelling complexes and epigenetic factors controls transcription and chromatin structure in these regions. The histone chaperone complex ATRX/DAXX is involved in the establishment and maintenance of centromeric chromatin through the deposition of the histone variant H3.3. ATRX and DAXX have also evolved mutually-independent functions in transcription and chromatin dynamics. Here, using paediatric glioma and pancreatic neuroendocrine tumor cell lines, we identify a novel ATRX-independent function for DAXX in promoting genome stability by preventing transcription-associated R-loop accumulation and DNA double-strand break formation at centromeres. This function of DAXX required its interaction with histone H3.3 but was independent of H3.3 deposition and did not reflect a role in the repression of centromeric transcription. DAXX depletion mobilized BRCA1 at centromeres, in line with BRCA1 role in counteracting centromeric R-loop accumulation. Our results provide novel insights into the mechanisms protecting the human genome from chromosomal instability, as well as potential perspectives in the treatment of cancers with DAXX alterations.
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Affiliation(s)
- Lia M Pinto
- DNA Repair and Chemoresistance Group, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210 Luxembourg, Luxembourg
- Faculty of Science, Technology and Communication, University of Luxembourg, L-4365 Esch-sur-Alzette, Luxembourg
- Discovery & Translational Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK
| | - Alexandros Pailas
- DNA Repair and Chemoresistance Group, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210 Luxembourg, Luxembourg
- Faculty of Science, Technology and Communication, University of Luxembourg, L-4365 Esch-sur-Alzette, Luxembourg
| | - Max Bondarchenko
- DNA Repair and Chemoresistance Group, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210 Luxembourg, Luxembourg
- Faculty of Science, Technology and Communication, University of Luxembourg, L-4365 Esch-sur-Alzette, Luxembourg
| | - Abhishek Bharadwaj Sharma
- DNA Repair and Chemoresistance Group, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210 Luxembourg, Luxembourg
| | - Katrin Neumann
- DNA Repair and Chemoresistance Group, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210 Luxembourg, Luxembourg
| | - Anthony J Rizzo
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
| | - Céline Jeanty
- DNA Repair and Chemoresistance Group, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210 Luxembourg, Luxembourg
| | - Nathalie Nicot
- Translational Medicine Operations Hub, Luxembourg Institute of Health (LIH), Luxembourg, Luxembourg
| | - Carine Racca
- Institut de Pharmacologie et Biologie Structurale (IPBS), Université de Toulouse, CNRS, Université Toulouse III - Paul Sabatier (UT3), 31077 Toulouse Cedex 4, France
| | - Mindy K Graham
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
| | - Catherine Naughton
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh EH4 1QY, UK
| | - Yaqun Liu
- Institut Curie, PSL Research University, CNRS UMR3244, Dynamics of Genetic Information, Sorbonne Université, 75248 Paris Cedex 05, France
| | - Chun-Long Chen
- Institut Curie, PSL Research University, CNRS UMR3244, Dynamics of Genetic Information, Sorbonne Université, 75248 Paris Cedex 05, France
| | - Paul J Meakin
- Discovery & Translational Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK
| | - Nick Gilbert
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh EH4 1QY, UK
| | - Sébastien Britton
- Institut de Pharmacologie et Biologie Structurale (IPBS), Université de Toulouse, CNRS, Université Toulouse III - Paul Sabatier (UT3), 31077 Toulouse Cedex 4, France
| | - Alan K Meeker
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
| | - Christopher M Heaphy
- Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Florence Larminat
- Institut de Pharmacologie et Biologie Structurale (IPBS), Université de Toulouse, CNRS, Université Toulouse III - Paul Sabatier (UT3), 31077 Toulouse Cedex 4, France
| | - Eric Van Dyck
- DNA Repair and Chemoresistance Group, Department of Cancer Research, Luxembourg Institute of Health (LIH), L-1210 Luxembourg, Luxembourg
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15
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Hariharan S, Whitfield BT, Pirozzi CJ, Waitkus MS, Brown MC, Bowie ML, Irvin DM, Roso K, Fuller R, Hostettler J, Dharmaiah S, Gibson EA, Briley A, Mangoli A, Fraley C, Shobande M, Stevenson K, Zhang G, Malgulwar PB, Roberts H, Roskoski M, Spasojevic I, Keir ST, He Y, Castro MG, Huse JT, Ashley DM. Interplay between ATRX and IDH1 mutations governs innate immune responses in diffuse gliomas. Nat Commun 2024; 15:730. [PMID: 38272925 PMCID: PMC10810843 DOI: 10.1038/s41467-024-44932-w] [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: 04/24/2023] [Accepted: 01/10/2024] [Indexed: 01/27/2024] Open
Abstract
Stimulating the innate immune system has been explored as a therapeutic option for the treatment of gliomas. Inactivating mutations in ATRX, defining molecular alterations in IDH-mutant astrocytomas, have been implicated in dysfunctional immune signaling. However, little is known about the interplay between ATRX loss and IDH mutation on innate immunity. To explore this, we generated ATRX-deficient glioma models in the presence and absence of the IDH1R132H mutation. ATRX-deficient glioma cells are sensitive to dsRNA-based innate immune agonism and exhibit impaired lethality and increased T-cell infiltration in vivo. However, the presence of IDH1R132H dampens baseline expression of key innate immune genes and cytokines in a manner restored by genetic and pharmacological IDH1R132H inhibition. IDH1R132H co-expression does not interfere with the ATRX deficiency-mediated sensitivity to dsRNA. Thus, ATRX loss primes cells for recognition of dsRNA, while IDH1R132H reversibly masks this priming. This work reveals innate immunity as a therapeutic vulnerability of astrocytomas.
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Affiliation(s)
- Seethalakshmi Hariharan
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Benjamin T Whitfield
- Departments of Pathology and Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher J Pirozzi
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Pathology, Duke University Medical Center, Durham, NC, USA
| | - Matthew S Waitkus
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Michael C Brown
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Michelle L Bowie
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - David M Irvin
- Departments of Pathology and Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kristen Roso
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Pathology, Duke University Medical Center, Durham, NC, USA
| | - Rebecca Fuller
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Janell Hostettler
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Sharvari Dharmaiah
- Departments of Pathology and Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Emiley A Gibson
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Aaron Briley
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Avani Mangoli
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Casey Fraley
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Mariah Shobande
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Kevin Stevenson
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Gao Zhang
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Prit Benny Malgulwar
- Departments of Pathology and Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hannah Roberts
- Departments of Pathology and Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Martin Roskoski
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Ivan Spasojevic
- PK/PD Core Laboratory, Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
- Department of Medicine - Oncology, Duke University Medical Center, Durham, NC, USA
| | - Stephen T Keir
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Yiping He
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA
- Department of Pathology, Duke University Medical Center, Durham, NC, USA
| | - Maria G Castro
- Department of Neurosurgery, University of Michigan Medical Center, Ann Arbor, MI, USA
| | - Jason T Huse
- Departments of Pathology and Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - David M Ashley
- The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham, NC, USA.
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA.
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Dasram MH, Naidoo P, Walker RB, Khamanga SM. Targeting the Endocannabinoid System Present in the Glioblastoma Tumour Microenvironment as a Potential Anti-Cancer Strategy. Int J Mol Sci 2024; 25:1371. [PMID: 38338649 PMCID: PMC10855826 DOI: 10.3390/ijms25031371] [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: 09/16/2023] [Revised: 01/08/2024] [Accepted: 01/17/2024] [Indexed: 02/12/2024] Open
Abstract
The highly aggressive and invasive glioblastoma (GBM) tumour is the most malignant lesion among adult-type diffuse gliomas, representing the most common primary brain tumour in the neuro-oncology practice of adults. With a poor overall prognosis and strong resistance to treatment, this nervous system tumour requires new innovative treatment. GBM is a polymorphic tumour consisting of an array of stromal cells and various malignant cells contributing to tumour initiation, progression, and treatment response. Cannabinoids possess anti-cancer potencies against glioma cell lines and in animal models. To improve existing treatment, cannabinoids as functionalised ligands on nanocarriers were investigated as potential anti-cancer agents. The GBM tumour microenvironment is a multifaceted system consisting of resident or recruited immune cells, extracellular matrix components, tissue-resident cells, and soluble factors. The immune microenvironment accounts for a substantial volume of GBM tumours. The barriers to the treatment of glioblastoma with cannabinoids, such as crossing the blood-brain barrier and psychoactive and off-target side effects, can be alleviated with the use of nanocarrier drug delivery systems and functionalised ligands for improved specificity and targeting of pharmacological receptors and anti-cancer signalling pathways. This review has shown the presence of endocannabinoid receptors in the tumour microenvironment, which can be used as a potential unique target for specific drug delivery. Existing cannabinoid agents, studied previously, show anti-cancer potencies via signalling pathways associated with the hallmarks of cancer. The results of the review can be used to provide guidance in the design of future drug therapy for glioblastoma tumours.
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Affiliation(s)
| | | | | | - Sandile M. Khamanga
- Division of Pharmaceutics, Faculty of Pharmacy, Rhodes University, Makhanda 6139, South Africa (R.B.W.)
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17
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Zhao J, Zang F, Huo X, Zheng S. Novel approaches targeting ferroptosis in treatment of glioma. Front Neurol 2023; 14:1292160. [PMID: 38020609 PMCID: PMC10659054 DOI: 10.3389/fneur.2023.1292160] [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: 09/11/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
Glioma is a malignant brain tumor with a high mortality rate; hence novel treatment approaches are being explored to improve patient outcomes. Ferroptosis, a newly described form of regulated cell death, is emerging as a potential therapeutic target in glioma. Ferroptosis is characterized by the accumulation of lipid peroxides due to a loss of intracellular antioxidant systems represented by the depletion of glutathione and decreased activity of glutathione peroxidase 4 (GPX4). Since glioma cells have a high demand for iron and lipid metabolism, modulation of ferroptosis may represent a promising therapeutic approach for this malignancy. Recent studies indicate that ferroptosis inducers like erastin and RSL3 display potent anticancer activity in a glioma model. In addition, therapeutic strategies, including GPX4 targeting, lipid metabolism modulation, inhibition of amino acid transporters, and ferroptosis targeting natural compounds, have shown positive results in preclinical studies. This review will provide an overview of the functions of ferroptosis in glioma and its potential as a suitable target for glioma therapy.
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Affiliation(s)
| | | | | | - Shengzhe Zheng
- Department of Neurology, Affiliated Hospital of Yanbian University, Yanbian Korean Autonomous Prefecture, Jilin, China
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18
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Singh S, Joshi V, Upadhyay A. Amyloids and brain cancer: molecular linkages and crossovers. Biosci Rep 2023; 43:BSR20230489. [PMID: 37335084 PMCID: PMC10548166 DOI: 10.1042/bsr20230489] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/31/2023] [Accepted: 06/13/2023] [Indexed: 06/21/2023] Open
Abstract
Amyloids are high-order proteinaceous formations deposited in both intra- and extracellular spaces. These aggregates have tendencies to deregulate cellular physiology in multiple ways; for example, altered metabolism, mitochondrial dysfunctions, immune modulation, etc. When amyloids are formed in brain tissues, the endpoint often is death of neurons. However, interesting but least understood is a close connection of amyloids with another set of conditions in which brain cells proliferate at an extraordinary rate and form tumor inside brain. Glioblastoma is one such condition. Increasing number of evidence indicate a possible link between amyloid formation and depositions in brain tumors. Several proteins associated with cell cycle regulation and apoptotic pathways themselves have shown to possess high tendencies to form amyloids. Tumor suppressor protein p53 is one prominent example that mutate, oligomerize and form amyloids leading to loss- or gain-of-functions and cause increased cell proliferation and malignancies. In this review article, we present available examples, genetic links and common pathways that indicate that possibly the two distantly placed pathways: amyloid formation and developing cancers in the brain have similarities and are mechanistically intertwined together.
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Affiliation(s)
- Shalini Singh
- Department of Bioscience and Bioengineering, Indian Institute of Technology Jodhpur, Jheepasani, Jodhpur, Rajasthan 342001, India
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, U.S.A
| | - Vibhuti Joshi
- Department of Bioscience and Bioengineering, Indian Institute of Technology Jodhpur, Jheepasani, Jodhpur, Rajasthan 342001, India
- Department of Biotechnology, School of Engineering and Applied Sciences, Bennett University, Greater Noida, Uttar Pradesh 201310, India
| | - Arun Upadhyay
- Department of Bioscience and Bioengineering, Indian Institute of Technology Jodhpur, Jheepasani, Jodhpur, Rajasthan 342001, India
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, U.S.A
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19
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Penkova A, Kuziakova O, Gulaia V, Tiasto V, Goncharov NV, Lanskikh D, Zhmenia V, Baklanov I, Farniev V, Kumeiko V. Comprehensive clinical assays for molecular diagnostics of gliomas: the current state and future prospects. Front Mol Biosci 2023; 10:1216102. [PMID: 37908227 PMCID: PMC10613994 DOI: 10.3389/fmolb.2023.1216102] [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: 06/08/2023] [Accepted: 09/04/2023] [Indexed: 11/02/2023] Open
Abstract
Glioma is one of the most intractable types of cancer, due to delayed diagnosis at advanced stages. The clinical symptoms of glioma are unclear and due to a variety of glioma subtypes, available low-invasive testing is not effective enough to be introduced into routine medical laboratory practice. Therefore, recent advances in the clinical diagnosis of glioma have focused on liquid biopsy approaches that utilize a wide range of techniques such as next-generation sequencing (NGS), droplet-digital polymerase chain reaction (ddPCR), and quantitative PCR (qPCR). Among all techniques, NGS is the most advantageous diagnostic method. Despite the rapid cheapening of NGS experiments, the cost of such diagnostics remains high. Moreover, high-throughput diagnostics are not appropriate for molecular profiling of gliomas since patients with gliomas exhibit only a few diagnostic markers. In this review, we highlighted all available assays for glioma diagnosing for main pathogenic glioma DNA sequence alterations. In the present study, we reviewed the possibility of integrating routine molecular methods into the diagnosis of gliomas. We state that the development of an affordable assay covering all glioma genetic aberrations could enable early detection and improve patient outcomes. Moreover, the development of such molecular diagnostic kits could potentially be a good alternative to expensive NGS-based approaches.
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Affiliation(s)
- Alina Penkova
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Olga Kuziakova
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Valeriia Gulaia
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Vladlena Tiasto
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Nikolay V. Goncharov
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
- A. V. Zhirmunsky National Scientific Center of Marine Biology, FEB RAS, Vladivostok, Russia
| | - Daria Lanskikh
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Valeriia Zhmenia
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Ivan Baklanov
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
- A. V. Zhirmunsky National Scientific Center of Marine Biology, FEB RAS, Vladivostok, Russia
| | - Vladislav Farniev
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Vadim Kumeiko
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
- A. V. Zhirmunsky National Scientific Center of Marine Biology, FEB RAS, Vladivostok, Russia
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20
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Al Sharie S, Abu Laban D, Al-Hussaini M. Decoding Diffuse Midline Gliomas: A Comprehensive Review of Pathogenesis, Diagnosis and Treatment. Cancers (Basel) 2023; 15:4869. [PMID: 37835563 PMCID: PMC10571999 DOI: 10.3390/cancers15194869] [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: 06/26/2023] [Revised: 09/27/2023] [Accepted: 10/03/2023] [Indexed: 10/15/2023] Open
Abstract
Diffuse midline gliomas (DMGs) are a group of aggressive CNS tumors, primarily affecting children and young adults, which have historically been associated with dismal outcomes. As the name implies, they arise in midline structures in the CNS, primarily in the thalamus, brainstem, and spinal cord. In more recent years, significant advances have been made in our understanding of DMGs, including molecular features, with the identification of potential therapeutic targets. We aim to provide an overview of the most recent updates in the field of DMGs, including classification, molecular subtypes, diagnostic techniques, and emerging therapeutic strategies including a review of the ongoing clinical trials, thus providing the treating multidisciplinary team with a comprehensive understanding of the current landscape and potential therapeutic strategies for this devastating group of tumors.
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Affiliation(s)
- Sarah Al Sharie
- Faculty of Medicine, Yarmouk University, Irbid 21163, Jordan;
| | - Dima Abu Laban
- Department of Radiology, King Hussein Cancer Center, Amman 11941, Jordan;
| | - Maysa Al-Hussaini
- Department of Pathology and Laboratory Medicine, King Hussein Cancer Center, Amman 11941, Jordan
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21
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Cao W, Sun P, Luo S, Zeng Z, Xiao C, Yu W, Lei S. An immune signature to predict the prognosis of ATRX-wildtype glioma patients and guide immune checkpoint blockade therapy. Aging (Albany NY) 2023; 15:10453-10472. [PMID: 37812190 PMCID: PMC10599764 DOI: 10.18632/aging.205088] [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: 05/01/2023] [Accepted: 08/21/2023] [Indexed: 10/10/2023]
Abstract
Immune and stromal cells contribute to glioma progression by infiltrating the tumor microenvironment. We used clinical characteristics, RNA sequencing data and the ESTIMATE algorithm to obtain stromal and immune scores for alpha thalassemia retardation syndrome X-linked (ATRX)-mutation-type (ATRX-mt) and ATRX-wildtype (ATRX-wt) glioma tissues from The Cancer Genome Atlas. To identify specific immune biomarkers of glioma, we compared the gene expression profiles of ATRX-wt glioma tissues with high vs. low immune/stromal scores, and discovered 162 differentially expressed genes. The protein-protein interaction network based on these results contained 80 interacting genes, of which seven (HOXA5, PTPN2, WT1, HOXD10, POSTN, ADAMDEC1 and MYBPH) were identified as key prognostic genes via LASSO and Cox regression analyses. A risk model constructed using the expression of these seven genes could predict survival for ATRX-wt glioma patients, but was ineffective for ATRX-mt patients. T cells and macrophages were more prevalent in low-risk than in high-risk glioma tissues. Immune checkpoint blockade treatment was highly beneficial for patients with low risk scores. High-risk gliomas were predicted to be more sensitive to rapamycin, dasatinib, 5-fluorouracil and gemcitabine. Thus, our model can be used for the diagnosis, prognostic prediction and treatment planning of ATRX-wt glioma patients.
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Affiliation(s)
- Wenpeng Cao
- Department of Anatomy, Key Laboratory of Human Brain bank for Functions and Diseases of Department of Education of Guizhou, Guizhou Medical University, Guiyang 550009, Guizhou, China
| | - Ping Sun
- Department of Neurosurgery, The Second People Hospital of Guiyang, Guiyang 550009, Guizhou, China
| | - Shipeng Luo
- Department of Anatomy, Key Laboratory of Human Brain bank for Functions and Diseases of Department of Education of Guizhou, Guizhou Medical University, Guiyang 550009, Guizhou, China
| | - Zhirui Zeng
- Department of Physiology, School of Basic Medicine, Guizhou Medical University, Guiyang 550009, Guizhou, China
| | - Chaolun Xiao
- Department of Anatomy, Key Laboratory of Human Brain bank for Functions and Diseases of Department of Education of Guizhou, Guizhou Medical University, Guiyang 550009, Guizhou, China
| | - Wenfeng Yu
- Department of Anatomy, Key Laboratory of Human Brain bank for Functions and Diseases of Department of Education of Guizhou, Guizhou Medical University, Guiyang 550009, Guizhou, China
- Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education, School of Basic Medicine, Guizhou Medical University, Guiyang 550009, Guizhou, China
- Key Laboratory of Medical Molecular Biology, School of Basic Medicine, Guizhou Medical University, Guiyang 550009, Guizhou, China
| | - Shan Lei
- Department of Physiology, School of Basic Medicine, Guizhou Medical University, Guiyang 550009, Guizhou, China
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22
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Yang X, Hu C, Xing Z, Lin Y, Su Y, Wang X, Cao D. Prediction of Ki-67 labeling index, ATRX mutation, and MGMT promoter methylation status in IDH-mutant astrocytoma by morphological MRI, SWI, DWI, and DSC-PWI. Eur Radiol 2023; 33:7003-7014. [PMID: 37133522 DOI: 10.1007/s00330-023-09695-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 02/19/2023] [Accepted: 03/09/2023] [Indexed: 05/04/2023]
Abstract
OBJECTIVE Noninvasive detection of molecular status of astrocytoma is of great clinical significance for predicting therapeutic response and prognosis. We aimed to evaluate whether morphological MRI (mMRI), SWI, DWI, and DSC-PWI could predict Ki-67 labeling index (LI), ATRX mutation, and MGMT promoter methylation status in IDH mutant (IDH-mut) astrocytoma. METHODS We retrospectively analyzed mMRI, SWI, DWI, and DSC-PWI in 136 patients with IDH-mut astrocytoma.The features of mMRI and intratumoral susceptibility signals (ITSS) were compared using Fisher exact test or chi-square tests. Wilcoxon rank sum test was used to compare the minimum ADC (ADCmin), and minimum relative ADC (rADCmin) of IDH-mut astrocytoma in different molecular markers status. Mann-Whitney U test was used to compare the rCBVmax of IDH-mut astrocytoma with different molecular markers status. Receiver operating characteristic curves was performed to evaluate their diagnostic performances. RESULTS ITSS, ADCmin, rADCmin, and rCBVmax were significantly different between high and low Ki-67 LI groups. ITSS, ADCmin, and rADCmin were significantly different between ATRX mutant and wild-type groups. Necrosis, edema, enhancement, and margin pattern were significantly different between low and high Ki-67 LI groups. Peritumoral edema was significantly different between ATRX mutant and wild-type groups. Grade 3 IDH-mut astrocytoma with unmethylated MGMT promoter was more likely to show enhancement compared to the methylated group. CONCLUSIONS mMRI, SWI, DWI, and DSC-PWI were shown to have the potential to predict Ki-67 LI and ATRX mutation status in IDH-mut astrocytoma. A combination of mMRI and SWI may improve diagnostic performance for predicting Ki-67 LI and ATRX mutation status. CLINICAL RELEVANCE STATEMENT Conventional MRI and functional MRI (SWI, DWI, and DSC-PWI) can predict Ki-67 expression and ATRX mutation status of IDH mutant astrocytoma, which may help clinicians determine personalized treatment plans and predict patient outcomes. KEY POINTS • A combination of multimodal MRI may improve the diagnostic performance to predict Ki-67 LI and ATRX mutation status. • Compared with IDH-mutant astrocytoma with low Ki-67 LI, IDH-mutant astrocytoma with high Ki-67 LI was more likely to show necrosis, edema, enhancement, poorly defined margin, higher ITSS levels, lower ADC, and higher rCBV. • ATRX wild-type IDH-mutant astrocytoma was more likely to show edema, higher ITSS levels, and lower ADC compared to ATRX mutant IDH-mutant astrocytoma.
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Affiliation(s)
- Xiefeng Yang
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China
| | - Chengcong Hu
- Department of Pathology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, 20 Cha-Zhong Road, Fuzhou, 350005, People's Republic of China
| | - Zhen Xing
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China
| | - Yu Lin
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China
| | - Yan Su
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China
| | - Xingfu Wang
- Department of Pathology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, 20 Cha-Zhong Road, Fuzhou, 350005, People's Republic of China.
| | - Dairong Cao
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China.
- Fujian Key Laboratory of Precision Medicine for Cancer, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, People's Republic of China.
- Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, People's Republic of China.
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23
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Yu H, Jiang L, Li CI, Ness S, Piccirillo SGM, Guo Y. Somatic mutation effects diffused over microRNA dysregulation. Bioinformatics 2023; 39:btad520. [PMID: 37624931 PMCID: PMC10474951 DOI: 10.1093/bioinformatics/btad520] [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: 05/02/2023] [Revised: 07/14/2023] [Accepted: 08/23/2023] [Indexed: 08/27/2023] Open
Abstract
MOTIVATION As an important player in transcriptome regulation, microRNAs may effectively diffuse somatic mutation impacts to broad cellular processes and ultimately manifest disease and dictate prognosis. Previous studies that tried to correlate mutation with gene expression dysregulation neglected to adjust for the disparate multitudes of false positives associated with unequal sample sizes and uneven class balancing scenarios. RESULTS To properly address this issue, we developed a statistical framework to rigorously assess the extent of mutation impact on microRNAs in relation to a permutation-based null distribution of a matching sample structure. Carrying out the framework in a pan-cancer study, we ascertained 9008 protein-coding genes with statistically significant mutation impacts on miRNAs. Of these, the collective miRNA expression for 83 genes showed significant prognostic power in nine cancer types. For example, in lower-grade glioma, 10 genes' mutations broadly impacted miRNAs, all of which showed prognostic value with the corresponding miRNA expression. Our framework was further validated with functional analysis and augmented with rich features including the ability to analyze miRNA isoforms; aggregative prognostic analysis; advanced annotations such as mutation type, regulator alteration, somatic motif, and disease association; and instructive visualization such as mutation OncoPrint, Ideogram, and interactive mRNA-miRNA network. AVAILABILITY AND IMPLEMENTATION The data underlying this article are available in MutMix, at http://innovebioinfo.com/Database/TmiEx/MutMix.php.
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Affiliation(s)
- Hui Yu
- Department of Public Health, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL 33136, U.S.A
| | - Limin Jiang
- Department of Public Health, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL 33136, U.S.A
| | - Chung-I Li
- Department of Statistics, National Cheng Kung University, Tainan 701401, Taiwan
| | - Scott Ness
- Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM 87109, United States
| | - Sara G M Piccirillo
- Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM 87109, United States
| | - Yan Guo
- Department of Public Health, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL 33136, U.S.A
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24
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Terrani KF, Reynolds CD, Rogers SN. Naturopathic Treatment of Grade III Oligodendroglioma With Progression to Grade IV Isocitrate Dehydrogenase (IDH)-Mutant Astrocytoma and the Development of Spinal Gliomatosis. Cureus 2023; 15:e45526. [PMID: 37868410 PMCID: PMC10585605 DOI: 10.7759/cureus.45526] [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] [Accepted: 09/19/2023] [Indexed: 10/24/2023] Open
Abstract
Primary intracranial gliomas are a heterogeneous class of lesions that rarely metastasize. Even more infrequently, they may spread caudally into the spinal cord causing spinal gliomatosis. In this case, we discuss an 18-year-old male patient with a diagnosis of grade IV astrocytoma with spinal gliomatosis, specifically detailing the radiographic progression of the disease over 38 months. We also discuss the significance of the change in the WHO classification of central nervous system tumors, as this patient's survival duration is inconsistent with the low survival rates expected of glioblastoma, and rather more consistent with a grade IV astrocytoma.
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Affiliation(s)
- Kristina F Terrani
- Diagnostic Radiology, University of Arizona College of Medicine - Tucson, Tucson, USA
| | - Conner D Reynolds
- Diagnostic Radiology, University of Arizona College of Medicine - Tucson, Tucson, USA
| | - Samuel N Rogers
- Diagnostic Radiology, University of Arizona College of Medicine - Tucson, Tucson, USA
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25
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Chojak R, Fares J, Petrosyan E, Lesniak MS. Cellular senescence in glioma. J Neurooncol 2023; 164:11-29. [PMID: 37458855 DOI: 10.1007/s11060-023-04387-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 07/01/2023] [Indexed: 08/29/2023]
Abstract
INTRODUCTION Glioma is the most common primary brain tumor and is often associated with treatment resistance and poor prognosis. Standard treatment typically involves radiotherapy and temozolomide-based chemotherapy, both of which induce cellular senescence-a tumor suppression mechanism. DISCUSSION Gliomas employ various mechanisms to bypass or escape senescence and remain in a proliferative state. Importantly, senescent cells remain viable and secrete a large number of factors collectively known as the senescence-associated secretory phenotype (SASP) that, paradoxically, also have pro-tumorigenic effects. Furthermore, senescent cells may represent one form of tumor dormancy and play a role in glioma recurrence and progression. CONCLUSION In this article, we delineate an overview of senescence in the context of gliomas, including the mechanisms that lead to senescence induction, bypass, and escape. Furthermore, we examine the role of senescent cells in the tumor microenvironment and their role in tumor progression and recurrence. Additionally, we highlight potential therapeutic opportunities for targeting senescence in glioma.
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Affiliation(s)
- Rafał Chojak
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, 676 N. St Clair Street, Suite 2210, Chicago, IL, 60611, USA
- Northwestern Medicine Malnati Brain Tumor Institute, Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Jawad Fares
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, 676 N. St Clair Street, Suite 2210, Chicago, IL, 60611, USA
- Northwestern Medicine Malnati Brain Tumor Institute, Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Edgar Petrosyan
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, 676 N. St Clair Street, Suite 2210, Chicago, IL, 60611, USA
- Northwestern Medicine Malnati Brain Tumor Institute, Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Maciej S Lesniak
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, 676 N. St Clair Street, Suite 2210, Chicago, IL, 60611, USA.
- Northwestern Medicine Malnati Brain Tumor Institute, Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
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26
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Shapiro JA, Gaonkar KS, Spielman SJ, Savonen CL, Bethell CJ, Jin R, Rathi KS, Zhu Y, Egolf LE, Farrow BK, Miller DP, Yang Y, Koganti T, Noureen N, Koptyra MP, Duong N, Santi M, Kim J, Robins S, Storm PB, Mack SC, Lilly JV, Xie HM, Jain P, Raman P, Rood BR, Lulla RR, Nazarian J, Kraya AA, Vaksman Z, Heath AP, Kline C, Scolaro L, Viaene AN, Huang X, Way GP, Foltz SM, Zhang B, Poetsch AR, Mueller S, Ennis BM, Prados M, Diskin SJ, Zheng S, Guo Y, Kannan S, Waanders AJ, Margol AS, Kim MC, Hanson D, Van Kuren N, Wong J, Kaufman RS, Coleman N, Blackden C, Cole KA, Mason JL, Madsen PJ, Koschmann CJ, Stewart DR, Wafula E, Brown MA, Resnick AC, Greene CS, Rokita JL, Taroni JN. OpenPBTA: The Open Pediatric Brain Tumor Atlas. CELL GENOMICS 2023; 3:100340. [PMID: 37492101 PMCID: PMC10363844 DOI: 10.1016/j.xgen.2023.100340] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 02/28/2023] [Accepted: 05/04/2023] [Indexed: 07/27/2023]
Abstract
Pediatric brain and spinal cancers are collectively the leading disease-related cause of death in children; thus, we urgently need curative therapeutic strategies for these tumors. To accelerate such discoveries, the Children's Brain Tumor Network (CBTN) and Pacific Pediatric Neuro-Oncology Consortium (PNOC) created a systematic process for tumor biobanking, model generation, and sequencing with immediate access to harmonized data. We leverage these data to establish OpenPBTA, an open collaborative project with over 40 scalable analysis modules that genomically characterize 1,074 pediatric brain tumors. Transcriptomic classification reveals universal TP53 dysregulation in mismatch repair-deficient hypermutant high-grade gliomas and TP53 loss as a significant marker for poor overall survival in ependymomas and H3 K28-mutant diffuse midline gliomas. Already being actively applied to other pediatric cancers and PNOC molecular tumor board decision-making, OpenPBTA is an invaluable resource to the pediatric oncology community.
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Affiliation(s)
- Joshua A. Shapiro
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Krutika S. Gaonkar
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Stephanie J. Spielman
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Rowan University, Glassboro, NJ 08028, USA
| | - Candace L. Savonen
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Chante J. Bethell
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Run Jin
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Komal S. Rathi
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Yuankun Zhu
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Laura E. Egolf
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Bailey K. Farrow
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Daniel P. Miller
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Yang Yang
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA
| | - Tejaswi Koganti
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Nighat Noureen
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Mateusz P. Koptyra
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Nhat Duong
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Mariarita Santi
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Jung Kim
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
| | - Shannon Robins
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Phillip B. Storm
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Stephen C. Mack
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Jena V. Lilly
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Hongbo M. Xie
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Payal Jain
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Pichai Raman
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Brian R. Rood
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Rishi R. Lulla
- Division of Hematology/Oncology, Hasbro Children’s Hospital, Providence, RI 02903, USA
- Department of Pediatrics, The Warren Alpert School of Brown University, Providence, RI 02912, USA
| | - Javad Nazarian
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
- Department of Pediatrics, University of Zurich, Zurich, Switzerland
| | - Adam A. Kraya
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Zalman Vaksman
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Allison P. Heath
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Cassie Kline
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Laura Scolaro
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Angela N. Viaene
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Xiaoyan Huang
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Gregory P. Way
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Steven M. Foltz
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Bo Zhang
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Anna R. Poetsch
- Biotechnology Center, Technical University Dresden, Dresden, Germany
- National Center for Tumor Diseases, Dresden, Germany
| | - Sabine Mueller
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, San Francisco, CA 94115, USA
| | - Brian M. Ennis
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Michael Prados
- University of California, San Francisco, San Francisco, CA 94115, USA
| | - Sharon J. Diskin
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Siyuan Zheng
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Yiran Guo
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Shrivats Kannan
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Angela J. Waanders
- Division of Hematology, Oncology, Neuro-Oncology, and Stem Cell Transplant, Ann & Robert H Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Ashley S. Margol
- Division of Hematology and Oncology, Children’s Hospital of Los Angeles, Los Angeles, CA 90027, USA
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
| | - Meen Chul Kim
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Derek Hanson
- Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Hackensack University Medical Center, Hackensack, NJ 07601, USA
| | - Nicholas Van Kuren
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jessica Wong
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Rebecca S. Kaufman
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Noel Coleman
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Christopher Blackden
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Kristina A. Cole
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jennifer L. Mason
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Peter J. Madsen
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Carl J. Koschmann
- Department of Pediatrics, University of Michigan Health, Ann Arbor, MI 48105, USA
- Pediatric Hematology Oncology, Mott Children’s Hospital, Ann Arbor, MI 48109, USA
| | - Douglas R. Stewart
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
| | - Eric Wafula
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Miguel A. Brown
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Adam C. Resnick
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Casey S. Greene
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jo Lynne Rokita
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jaclyn N. Taroni
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Children’s Brain Tumor Network
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Rowan University, Glassboro, NJ 08028, USA
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
- Division of Hematology/Oncology, Hasbro Children’s Hospital, Providence, RI 02903, USA
- Department of Pediatrics, The Warren Alpert School of Brown University, Providence, RI 02912, USA
- Department of Pediatrics, University of Zurich, Zurich, Switzerland
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Biotechnology Center, Technical University Dresden, Dresden, Germany
- National Center for Tumor Diseases, Dresden, Germany
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, San Francisco, CA 94115, USA
- University of California, San Francisco, San Francisco, CA 94115, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Hematology, Oncology, Neuro-Oncology, and Stem Cell Transplant, Ann & Robert H Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Division of Hematology and Oncology, Children’s Hospital of Los Angeles, Los Angeles, CA 90027, USA
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
- Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Hackensack University Medical Center, Hackensack, NJ 07601, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Michigan Health, Ann Arbor, MI 48105, USA
- Pediatric Hematology Oncology, Mott Children’s Hospital, Ann Arbor, MI 48109, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Pacific Pediatric Neuro-Oncology Consortium
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Rowan University, Glassboro, NJ 08028, USA
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
- Division of Hematology/Oncology, Hasbro Children’s Hospital, Providence, RI 02903, USA
- Department of Pediatrics, The Warren Alpert School of Brown University, Providence, RI 02912, USA
- Department of Pediatrics, University of Zurich, Zurich, Switzerland
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Biotechnology Center, Technical University Dresden, Dresden, Germany
- National Center for Tumor Diseases, Dresden, Germany
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, San Francisco, CA 94115, USA
- University of California, San Francisco, San Francisco, CA 94115, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Hematology, Oncology, Neuro-Oncology, and Stem Cell Transplant, Ann & Robert H Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Division of Hematology and Oncology, Children’s Hospital of Los Angeles, Los Angeles, CA 90027, USA
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
- Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Hackensack University Medical Center, Hackensack, NJ 07601, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Michigan Health, Ann Arbor, MI 48105, USA
- Pediatric Hematology Oncology, Mott Children’s Hospital, Ann Arbor, MI 48109, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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27
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Stundon JL, Ijaz H, Gaonkar KS, Kaufman RS, Jin R, Karras A, Vaksman Z, Kim J, Corbett RJ, Lueder MR, Miller DP, Guo Y, Santi M, Li M, Lopez G, Storm PB, Resnick AC, Waanders AJ, MacFarland SP, Stewart DR, Diskin SJ, Rokita JL, Cole KA. Alternative lengthening of telomeres (ALT) in pediatric high-grade gliomas can occur without ATRX mutation and is enriched in patients with pathogenic germline mismatch repair (MMR) variants. Neuro Oncol 2023; 25:1331-1342. [PMID: 36541551 PMCID: PMC10326481 DOI: 10.1093/neuonc/noac278] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND To achieve replicative immortality, most cancers develop a telomere maintenance mechanism, such as reactivation of telomerase or alternative lengthening of telomeres (ALT). There are limited data on the prevalence and clinical significance of ALT in pediatric brain tumors, and ALT-directed therapy is not available. METHODS We performed C-circle analysis (CCA) on 579 pediatric brain tumors that had corresponding tumor/normal whole genome sequencing through the Open Pediatric Brain Tumor Atlas (OpenPBTA). We detected ALT in 6.9% (n = 40/579) of these tumors and completed additional validation by ultrabright telomeric foci in situ on a subset of these tumors. We used CCA to validate TelomereHunter for computational prediction of ALT status and focus subsequent analyses on pediatric high-grade gliomas (pHGGs) Finally, we examined whether ALT is associated with recurrent somatic or germline alterations. RESULTS ALT is common in pHGGs (n = 24/63, 38.1%), but occurs infrequently in other pediatric brain tumors (<3%). Somatic ATRX mutations occur in 50% of ALT+ pHGGs and in 30% of ALT- pHGGs. Rare pathogenic germline variants in mismatch repair (MMR) genes are significantly associated with an increased occurrence of ALT. CONCLUSIONS We demonstrate that ATRX is mutated in only a subset of ALT+ pHGGs, suggesting other mechanisms of ATRX loss of function or alterations in other genes may be associated with the development of ALT in these patients. We show that germline variants in MMR are associated with the development of ALT in patients with pHGG.
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Affiliation(s)
- Jennifer L Stundon
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania,USA
| | - Heba Ijaz
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania,USA
| | - Krutika S Gaonkar
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Rebecca S Kaufman
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Run Jin
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Anastasios Karras
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Zalman Vaksman
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Jung Kim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland,USA
| | - Ryan J Corbett
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Matthew R Lueder
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Daniel P Miller
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Yiran Guo
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Mariarita Santi
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Marilyn Li
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Gonzalo Lopez
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Phillip B Storm
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Adam C Resnick
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Angela J Waanders
- Division of Hematology, Oncology, NeuroOncology, and Stem Cell Transplant, Ann & Robert H Lurie Children’s Hospital of Chicago, Illinois,USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois,USA
| | - Suzanne P MacFarland
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania,USA
| | - Douglas R Stewart
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland,USA
| | - Sharon J Diskin
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania,USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania,USA
| | - Jo Lynne Rokita
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Kristina A Cole
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania,USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania,USA
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28
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Nacul Mora NG, Akkurt BH, Kasap D, Blömer D, Heindel W, Mannil M, Musigmann M. Comparison of MRI Sequences to Predict ATRX Status Using Radiomics-Based Machine Learning. Diagnostics (Basel) 2023; 13:2216. [PMID: 37443610 DOI: 10.3390/diagnostics13132216] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 06/23/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
ATRX is an important molecular marker according to the 2021 WHO classification of adult-type diffuse glioma. We aim to predict the ATRX mutation status non-invasively using radiomics-based machine learning models on MRI and to determine which MRI sequence is best suited for this purpose. In this retrospective study, we used MRI images of patients with histologically confirmed glioma, including the sequences T1w without and with the administration of contrast agent, T2w, and the FLAIR. Radiomics features were extracted from the corresponding MRI images by hand-delineated regions of interest. Data partitioning into training data and independent test data was repeated 100 times to avoid random effects. Feature preselection and subsequent model development were performed using Lasso regression. The T2w sequence was found to be the most suitable and the FLAIR sequence the least suitable for predicting ATRX mutations using radiomics-based machine learning models. For the T2w sequence, our seven-feature model developed with Lasso regression achieved a mean AUC of 0.831, a mean accuracy of 0.746, a mean sensitivity of 0.772, and a mean specificity of 0.697. In conclusion, for the prediction of ATRX mutation using radiomics-based machine learning models, the T2w sequence is the most suitable among the commonly used MRI sequences.
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Affiliation(s)
- Nabila Gala Nacul Mora
- Clinic for Radiology, University of Münster and University Hospital Münster Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany
| | - Burak Han Akkurt
- Clinic for Radiology, University of Münster and University Hospital Münster Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany
| | - Dilek Kasap
- Clinic for Radiology, University of Münster and University Hospital Münster Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany
| | - David Blömer
- Clinic for Radiology, University of Münster and University Hospital Münster Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany
| | - Walter Heindel
- Clinic for Radiology, University of Münster and University Hospital Münster Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany
| | - Manoj Mannil
- Clinic for Radiology, University of Münster and University Hospital Münster Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany
| | - Manfred Musigmann
- Clinic for Radiology, University of Münster and University Hospital Münster Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany
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29
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Li J, Wang S, Chi X, He Q, Tao C, Ding Y, Wang J, Zhao J, Wang W. Identification of heterogeneous subtypes and a prognostic model for gliomas based on mitochondrial dysfunction and oxidative stress-related genes. Front Immunol 2023; 14:1183475. [PMID: 37334354 PMCID: PMC10272431 DOI: 10.3389/fimmu.2023.1183475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/22/2023] [Indexed: 06/20/2023] Open
Abstract
Objective Mitochondrial dysfunction and oxidative stress are known to involved in tumor occurrence and progression. This study aimed to explore the molecular subtypes of lower-grade gliomas (LGGs) based on oxidative stress-related and mitochondrial-related genes (OMRGs) and construct a prognostic model for predicting prognosis and therapeutic response in LGG patients. Methods A total of 223 OMRGs were identified by the overlap of oxidative stress-related genes (ORGs) and mitochondrial-related genes (MRGs). Using consensus clustering analysis, we identified molecular subtypes of LGG samples from TCGA database and confirmed the differentially expressed genes (DEGs) between clusters. We constructed a risk score model using LASSO regression and analyzed the immune-related profiles and drug sensitivity of different risk groups. The prognostic role of the risk score was confirmed using Cox regression and Kaplan-Meier curves, and a nomogram model was constructed to predict OS rates. We validated the prognostic role of OMRG-related risk score in three external datasets. Quantitative real-time PCR (qRT-PCR) and immunohistochemistry (IHC) staining confirmed the expression of selected genes. Furthermore, wound healing and transwell assays were performed to confirm the gene function in glioma. Results We identified two OMRG-related clusters and cluster 1 was significantly associated with poor outcomes (P<0.001). The mutant frequencies of IDH were significantly lower in cluster 1 (P<0.05). We found that the OMRG-related risk scores were significantly correlated to the levels of immune infiltration and immune checkpoint expression. High-risk samples were more sensitive to most chemotherapeutic agents. We identified the prognostic role of OMRG-related risk score in LGG patients (HR=2.665, 95%CI=1.626-4.369, P<0.001) and observed that patients with high-risk scores were significantly associated with poor prognosis (P<0.001). We validated our findings in three external datasets. The results of qRT-PCR and IHC staining verified the expression levels of the selected genes. The functional experiments showed a significant decrease in the migration of glioma after knockdown of SCNN1B. Conclusion We identified two molecular subtypes and constructed a prognostic model, which provided a novel insight into the potential biological function and prognostic significance of mitochondrial dysfunction and oxidative stress in LGG. Our study might help in the development of more precise treatments for gliomas.
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Affiliation(s)
- Junsheng Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Siyu Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaojing Chi
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Chuming Tao
- Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yaowei Ding
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jia Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
- Savaid Medical School, University of the Chinese Academy of Sciences, Beijing, China
| | - Wen Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
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30
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Gaspar TB, Jesus TT, Azevedo MT, Macedo S, Soares MA, Martins RS, Leite R, Rodrigues L, Rodrigues DF, Cardoso L, Borges I, Canberk S, Gärtner F, Miranda-Alves L, Lopes JM, Soares P, Vinagre J. Generation of an Obese Diabetic Mouse Model upon Conditional Atrx Disruption. Cancers (Basel) 2023; 15:cancers15113018. [PMID: 37296979 DOI: 10.3390/cancers15113018] [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: 04/26/2023] [Revised: 05/15/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023] Open
Abstract
Atrx loss was recently ascertained as insufficient to drive pancreatic neuroendocrine tumour (PanNET) formation in mice islets. We have identified a preponderant role of Atrx in the endocrine dysfunction in a Rip-Cre;AtrxKO genetically engineered mouse model (GEMM). To validate the impact of a different Cre-driver line, we used similar methodologies and characterised the Pdx1-Cre;AtrxKO (P.AtrxKO) GEMM to search for PanNET formation and endocrine fitness disruption for a period of up to 24 months. Male and female mice presented different phenotypes. Compared to P.AtrxWT, P.AtrxHOM males were heavier during the entire study period, hyperglycaemic between 3 and 12 mo., and glucose intolerant only from 6 mo.; in contrast, P.AtrxHOM females started exhibiting increased weight gains later (after 6 mo.), but diabetes or glucose intolerance was detected by 3 mo. Overall, all studied mice were overweight or obese from early ages, which challenged the histopathological evaluation of the pancreas and liver, especially after 12 mo. Noteworthily, losing Atrx predisposed mice to an increase in intrapancreatic fatty infiltration (FI), peripancreatic fat deposition, and macrovesicular steatosis. As expected, no animal developed PanNETs. An obese diabetic GEMM of disrupted Atrx is presented as potentially useful for metabolic studies and as a putative candidate for inserting additional tumourigenic genetic events.
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Affiliation(s)
- Tiago Bordeira Gaspar
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal
- Faculty of Medicine of the University of Porto (FMUP), 4200-319 Porto, Portugal
| | - Tito Teles Jesus
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal
| | - Maria Teresa Azevedo
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal
| | - Sofia Macedo
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal
- Faculty of Medicine of the University of Porto (FMUP), 4200-319 Porto, Portugal
| | - Mariana Alves Soares
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal
- Laboratório de Endocrinologia Experimental (LEEx), Instituto de Ciências Biomédicas (ICB), Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil
- Programa de Pós-Graduação em Endocrinologia, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil
| | - Rui Sousa Martins
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal
- Faculty of Sciences of the University of Porto (FCUP), 4169-007 Porto, Portugal
| | - Rúben Leite
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal
- School of Health (ESS), Polytechnic Institute of Porto (IPP), Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal
| | - Lia Rodrigues
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal
| | - Daniela Ferreira Rodrigues
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular and Cell Biology (IBMC), University of Porto, 4200-135 Porto, Portugal
| | - Luís Cardoso
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar e Universitário de Coimbra, 3000-075 Coimbra, Portugal
| | - Inês Borges
- Centro de Diagnóstico Veterinário (Cedivet), 4200-071 Porto, Portugal
| | - Sule Canberk
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal
- Faculty of Medicine of the University of Porto (FMUP), 4200-319 Porto, Portugal
| | - Fátima Gärtner
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal
| | - Leandro Miranda-Alves
- Laboratório de Endocrinologia Experimental (LEEx), Instituto de Ciências Biomédicas (ICB), Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil
- Programa de Pós-Graduação em Endocrinologia, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil
| | - José Manuel Lopes
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal
- Faculty of Medicine of the University of Porto (FMUP), 4200-319 Porto, Portugal
- Department of Pathology, Centro Hospitalar Universitário de São João (CHUSJ), 4200-319 Porto, Portugal
| | - Paula Soares
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal
- Faculty of Medicine of the University of Porto (FMUP), 4200-319 Porto, Portugal
| | - João Vinagre
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal
- Faculty of Medicine of the University of Porto (FMUP), 4200-319 Porto, Portugal
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31
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Zhang L, Xu X, Su X. Modifications of noncoding RNAs in cancer and their therapeutic implications. Cell Signal 2023:110726. [PMID: 37230201 DOI: 10.1016/j.cellsig.2023.110726] [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: 03/10/2023] [Revised: 05/06/2023] [Accepted: 05/18/2023] [Indexed: 05/27/2023]
Abstract
In the last 50 years, over 150 various chemical modifications on RNA molecules, including mRNAs, rRNAs, tRNAs, and other noncoding RNAs (ncRNAs), have been identified and characterized. These RNA modifications regulate RNA biogenesis and biological functions and are widely involved in various physiological processes and diseases, including cancer. In recent decades, broad interest has arisen in the epigenetic modification of ncRNAs due to the increased knowledge of the critical roles of ncRNAs in cancer. In this review, we summarize the various modifications of ncRNAs and highlight their roles in cancer initiation and progression. In particular, we discuss the potential of RNA modifications as novel biomarkers and therapeutic targets in cancer.
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Affiliation(s)
- Le Zhang
- Center for Reproductive Medicine, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, Inner Mongolia, China
| | - Xiaonan Xu
- Department of Molecular Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612-9497, USA
| | - Xiulan Su
- Clinical Medical Research Center, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, Inner Mongolia, China.
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32
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Teraiya M, Perreault H, Chen VC. An overview of glioblastoma multiforme and temozolomide resistance: can LC-MS-based proteomics reveal the fundamental mechanism of temozolomide resistance? Front Oncol 2023; 13:1166207. [PMID: 37182181 PMCID: PMC10169742 DOI: 10.3389/fonc.2023.1166207] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 03/23/2023] [Indexed: 05/16/2023] Open
Abstract
Glioblastoma multiforme (GBM) is a primary type of lethal brain tumor. Over the last two decades, temozolomide (TMZ) has remained the primary chemotherapy for GBM. However, TMZ resistance in GBM constitutes an underlying factor contributing to high rates of mortality. Despite intense efforts to understand the mechanisms of therapeutic resistance, there is currently a poor understanding of the molecular processes of drug resistance. For TMZ, several mechanisms linked to therapeutic resistance have been proposed. In the past decade, significant progress in the field of mass spectrometry-based proteomics has been made. This review article discusses the molecular drivers of GBM, within the context of TMZ resistance with a particular emphasis on the potential benefits and insights of using global proteomic techniques.
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Affiliation(s)
- Milan Teraiya
- Chemistry Department, University of Manitoba, Winnipeg, MB, Canada
| | - Helene Perreault
- Chemistry Department, University of Manitoba, Winnipeg, MB, Canada
| | - Vincent C. Chen
- Chemistry Department, Brandon University, Brandon, MB, Canada
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33
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Hariharan S, Whitfield BT, Pirozzi CJ, Waitkus MS, Brown MC, Bowie ML, Irvin DM, Roso K, Fuller R, Hostettler J, Dharmaiah S, Gibson EA, Briley A, Mangoli A, Fraley C, Shobande M, Stevenson K, Zhang G, Malgulwar PB, Roberts H, Roskoski M, Spasojevic I, Keir ST, He Y, Castro MG, Huse JT, Ashley DM. Interplay between ATRX and IDH1 mutations governs innate immune responses in diffuse gliomas. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.20.537594. [PMID: 37131619 PMCID: PMC10153255 DOI: 10.1101/2023.04.20.537594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Stimulating the innate immune system has been explored as a therapeutic option for the treatment of gliomas. Inactivating mutations in ATRX , defining molecular alterations in IDH -mutant astrocytomas, have been implicated in dysfunctional immune signaling. However, little is known about the interplay between ATRX loss and IDH mutation on innate immunity. To explore this, we generated ATRX knockout glioma models in the presence and absence of the IDH1 R 132 H mutation. ATRX-deficient glioma cells were sensitive to dsRNA-based innate immune agonism and exhibited impaired lethality and increased T-cell infiltration in vivo . However, the presence of IDH1 R 132 H dampened baseline expression of key innate immune genes and cytokines in a manner restored by genetic and pharmacological IDH1 R132H inhibition. IDH1 R132H co-expression did not interfere with the ATRX KO-mediated sensitivity to dsRNA. Thus, ATRX loss primes cells for recognition of dsRNA, while IDH1 R132H reversibly masks this priming. This work reveals innate immunity as a therapeutic vulnerability of astrocytoma.
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34
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Pang Y, Chen X, Ji T, Cheng M, Wang R, Zhang C, Liu M, Zhang J, Zhong C. The Chromatin Remodeler ATRX: Role and Mechanism in Biology and Cancer. Cancers (Basel) 2023; 15:cancers15082228. [PMID: 37190157 DOI: 10.3390/cancers15082228] [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: 03/06/2023] [Revised: 03/30/2023] [Accepted: 04/06/2023] [Indexed: 05/17/2023] Open
Abstract
The alpha-thalassemia mental retardation X-linked (ATRX) syndrome protein is a chromatin remodeling protein that primarily promotes the deposit of H3.3 histone variants in the telomere area. ATRX mutations not only cause ATRX syndrome but also influence development and promote cancer. The primary molecular characteristics of ATRX, including its molecular structures and normal and malignant biological roles, are reviewed in this article. We discuss the role of ATRX in its interactions with the histone variant H3.3, chromatin remodeling, DNA damage response, replication stress, and cancers, particularly gliomas, neuroblastomas, and pancreatic neuroendocrine tumors. ATRX is implicated in several important cellular processes and serves a crucial function in regulating gene expression and genomic integrity throughout embryogenesis. However, the nature of its involvement in the growth and development of cancer remains unknown. As mechanistic and molecular investigations on ATRX disclose its essential functions in cancer, customized therapies targeting ATRX will become accessible.
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Affiliation(s)
- Ying Pang
- Department of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai 200120, China
| | - Xu Chen
- Department of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai 200120, China
| | - Tongjie Ji
- Department of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai 200120, China
| | - Meng Cheng
- Department of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai 200120, China
| | - Rui Wang
- Department of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai 200120, China
| | - Chunyu Zhang
- Department of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai 200120, China
| | - Min Liu
- Department of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai 200120, China
| | - Jing Zhang
- Department of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai 200120, China
- Institute for Advanced Study, Tongji University, 1239 Siping Road, Shanghai 200092, China
| | - Chunlong Zhong
- Department of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, 150 Jimo Road, Shanghai 200120, China
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35
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Decraene B, Vanmechelen M, Clement P, Daisne JF, Vanden Bempt I, Sciot R, Garg AD, Agostinis P, De Smet F, De Vleeschouwer S. Cellular and molecular features related to exceptional therapy response and extreme long-term survival in glioblastoma. Cancer Med 2023. [PMID: 36776000 DOI: 10.1002/cam4.5681] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 01/17/2023] [Accepted: 01/31/2023] [Indexed: 02/14/2023] Open
Abstract
Glioblastoma Multiforme (GBM) remains the most common malignant primary brain tumor with a dismal prognosis that rarely exceeds beyond 2 years despite extensive therapy, which consists of maximal safe surgical resection, radiotherapy, and/or chemotherapy. Recently, it has become clear that GBM is not one homogeneous entity and that both intra-and intertumoral heterogeneity contributes significantly to differences in tumoral behavior which may consequently be responsible for differences in survival. Strikingly and in spite of its dismal prognosis, small fractions of GBM patients seem to display extremely long survival, defined as surviving over 10 years after diagnosis, compared to the large majority of patients. Although the underlying mechanisms for this peculiarity remain largely unknown, emerging data suggest that still poorly characterized both cellular and molecular factors of the tumor microenvironment and their interplay probably play an important role. We hereby give an extensive overview of what is yet known about these cellular and molecular features shaping extreme long survival in GBM.
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Affiliation(s)
- B Decraene
- KU Leuven, Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Leuven, Belgium.,KU Leuven Department of Neurosciences, Experimental Neurosurgery and Neuroanatomy Research Group, Leuven, Belgium.,Department of Neurosurgery, University Hospitals Leuven, Leuven, Belgium
| | - M Vanmechelen
- KU Leuven, Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Leuven, Belgium.,Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - P Clement
- Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - J F Daisne
- Radiation Oncology Department, University Hospitals Leuven, Leuven, Belgium
| | - I Vanden Bempt
- Department of Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | - R Sciot
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - A D Garg
- KU Leuven, VIB Center for Cancer Biology Research, Leuven, Belgium
| | - P Agostinis
- KU Leuven, Laboratory of Cell Stress & Immunity (CSI), Department of Cellular & Molecular Medicine, Leuven, Belgium
| | - F De Smet
- KU Leuven, Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Leuven, Belgium
| | - S De Vleeschouwer
- KU Leuven Department of Neurosciences, Experimental Neurosurgery and Neuroanatomy Research Group, Leuven, Belgium.,Department of Neurosurgery, University Hospitals Leuven, Leuven, Belgium.,KU Leuven, Leuven Brain Institute (LBI), Leuven, Belgium
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36
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McClellan BL, Haase S, Nunez FJ, Alghamri MS, Dabaja AA, Lowenstein PR, Castro MG. Impact of epigenetic reprogramming on antitumor immune responses in glioma. J Clin Invest 2023; 133:e163450. [PMID: 36647827 PMCID: PMC9843056 DOI: 10.1172/jci163450] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Epigenetic remodeling is a molecular hallmark of gliomas, and it has been identified as a key mediator of glioma progression. Epigenetic dysregulation contributes to gliomagenesis, tumor progression, and responses to immunotherapies, as well as determining clinical features. This epigenetic remodeling includes changes in histone modifications, chromatin structure, and DNA methylation, all of which are driven by mutations in genes such as histone 3 genes (H3C1 and H3F3A), isocitrate dehydrogenase 1/2 (IDH1/2), α-thalassemia/mental retardation, X-linked (ATRX), and additional chromatin remodelers. Although much of the initial research primarily identified how the epigenetic aberrations impacted glioma progression by solely examining the glioma cells, recent studies have aimed at establishing the role of epigenetic alterations in shaping the tumor microenvironment (TME). In this review, we discuss the mechanisms by which these epigenetic phenomena in glioma remodel the TME and how current therapies targeting epigenetic dysregulation affect the glioma immune response and therapeutic outcomes. Understanding the link between epigenetic remodeling and the glioma TME provides insights into the implementation of epigenetic-targeting therapies to improve the antitumor immune response.
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Affiliation(s)
- Brandon L. McClellan
- Department of Neurosurgery and
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Santiago Haase
- Department of Neurosurgery and
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Felipe J. Nunez
- Department of Neurosurgery and
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Accenture-Argentina, Autonomous City of Buenos Aires (CABA), Argentina
| | - Mahmoud S. Alghamri
- Department of Neurosurgery and
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, Connecticut, USA
| | - Ali A. Dabaja
- Department of Neurosurgery and
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Pedro R. Lowenstein
- Department of Neurosurgery and
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA
| | - Maria G. Castro
- Department of Neurosurgery and
- Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA
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37
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Genomic Characterization of Rare Primary Cardiac Sarcoma Entities. Diagnostics (Basel) 2023; 13:diagnostics13020214. [PMID: 36673024 PMCID: PMC9858520 DOI: 10.3390/diagnostics13020214] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 12/29/2022] [Accepted: 01/04/2023] [Indexed: 01/09/2023] Open
Abstract
Primary cardiac sarcomas are considered rare malignant entities associated with poor prognosis. In fact, knowledge regarding their gene signature and possible treatments is still limited. In our study, whole-transcriptome sequencing on formalin-fixed paraffin-embedded (FFPE) samples from one cardiac osteosarcoma and one cardiac leiomyosarcoma was performed, to investigate their mutational profiles and to highlight differences and/or similarities to other cardiac histotypes. Both cases have been deeply detailed from a pathological point of view. The osteosarcoma sample presented mutations involving ATRX, ERCC5, and COL1A1, while the leiomyosarcoma case showed EXT2, DNM2, and PSIP1 alterations. Altered genes, along with the most differentially expressed genes in the leiomyosarcoma or osteosarcoma sample versus the cardiac angiosarcomas and intimal sarcomas (e.g., YAF2, PAK5, and CRABP1), appeared to be associated with cell growth, proliferation, apoptosis, and the repair of DNA damage, which are key mechanisms involved in tumorigenesis. Moreover, a distinct gene expression profile was detected in the osteosarcoma sample when compared to other cardiac sarcomas. For instance, WIF1, a marker of osteoblastic differentiation, was upregulated in our bone tumor. These findings pave the way for further studies on these entities, in order to identify targeted therapies and, therefore, improve patients' prognoses.
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38
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Li S, Wang C, Chen J, Lan Y, Zhang W, Kang Z, Zheng Y, Zhang R, Yu J, Li W. Signaling pathways in brain tumors and therapeutic interventions. Signal Transduct Target Ther 2023; 8:8. [PMID: 36596785 PMCID: PMC9810702 DOI: 10.1038/s41392-022-01260-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 11/16/2022] [Accepted: 11/21/2022] [Indexed: 01/05/2023] Open
Abstract
Brain tumors, although rare, contribute to distinct mortality and morbidity at all ages. Although there are few therapeutic options for brain tumors, enhanced biological understanding and unexampled innovations in targeted therapies and immunotherapies have considerably improved patients' prognoses. Nonetheless, the reduced response rates and unavoidable drug resistance of currently available treatment approaches have become a barrier to further improvement in brain tumor (glioma, meningioma, CNS germ cell tumors, and CNS lymphoma) treatment. Previous literature data revealed that several different signaling pathways are dysregulated in brain tumor. Importantly, a better understanding of targeting signaling pathways that influences malignant behavior of brain tumor cells might open the way for the development of novel targeted therapies. Thus, there is an urgent need for a more comprehensive understanding of the pathogenesis of these brain tumors, which might result in greater progress in therapeutic approaches. This paper began with a brief description of the epidemiology, incidence, risk factors, as well as survival of brain tumors. Next, the major signaling pathways underlying these brain tumors' pathogenesis and current progress in therapies, including clinical trials, targeted therapies, immunotherapies, and system therapies, have been systemically reviewed and discussed. Finally, future perspective and challenges of development of novel therapeutic strategies in brain tumor were emphasized.
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Affiliation(s)
- Shenglan Li
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Can Wang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jinyi Chen
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yanjie Lan
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Weichunbai Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhuang Kang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yi Zheng
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Rong Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jianyu Yu
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wenbin Li
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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39
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The Role of Epigenetics in Brain and Spinal Cord Tumors. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1394:119-136. [PMID: 36587385 DOI: 10.1007/978-3-031-14732-6_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Identification of distinct genetic and epigenetic profiles in various neuroepithelial tumors has improved the classification and uncovered novel diagnostic, prognostic, and predictive molecular biomarkers for improved prediction of treatment response and outcome. Especially, in pediatric high-grade brain tumors, such as diffuse midline glioma, H3K27M-altered and posterior fossa group A-ependymoma, epigenetic changes predominate, along with changes in expression of known oncogenes and tumor suppressor genes induced by histone modifications and DNA methylation. The precise role of epigenetic abnormalities is important for understanding tumorigenesis and the establishment of brain tumor treatment strategies. Using powerful epigenetic-based therapies for cancer cells, the aberrantly regulated epigenome can be restored to a more normal state through epigenetic reprogramming. Combinations of agents targeting DNA methylation and/or other epigenetic modifications may be a promising cancer treatment. Therefore, the integration of multi-omics data including epigenomics is now important for classifying primary brain tumors and predicting their biological behavior. Recent advances in molecular genetics and epigenetic integrated diagnostics of brain tumors influence new strategies for targeted therapy.
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Miretti M, Graglia MAG, Suárez AI, Prucca CG. Photodynamic Therapy for glioblastoma: a light at the end of the tunnel. JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY 2023. [DOI: 10.1016/j.jpap.2023.100161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
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Sun X, Klingbeil O, Lu B, Wu C, Ballon C, Ouyang M, Wu XS, Jin Y, Hwangbo Y, Huang YH, Somerville TDD, Chang K, Park J, Chung T, Lyons SK, Shi J, Vogel H, Schulder M, Vakoc CR, Mills AA. BRD8 maintains glioblastoma by epigenetic reprogramming of the p53 network. Nature 2023; 613:195-202. [PMID: 36544023 PMCID: PMC10189659 DOI: 10.1038/s41586-022-05551-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 11/10/2022] [Indexed: 12/24/2022]
Abstract
Inhibition of the tumour suppressive function of p53 (encoded by TP53) is paramount for cancer development in humans. However, p53 remains unmutated in the majority of cases of glioblastoma (GBM)-the most common and deadly adult brain malignancy1,2. Thus, how p53-mediated tumour suppression is countered in TP53 wild-type (TP53WT) GBM is unknown. Here we describe a GBM-specific epigenetic mechanism in which the chromatin regulator bromodomain-containing protein 8 (BRD8) maintains H2AZ occupancy at p53 target loci through the EP400 histone acetyltransferase complex. This mechanism causes a repressive chromatin state that prevents transactivation by p53 and sustains proliferation. Notably, targeting the bromodomain of BRD8 displaces H2AZ, enhances chromatin accessibility and engages p53 transactivation. This in turn enforces cell cycle arrest and tumour suppression in TP53WT GBM. In line with these findings, BRD8 is highly expressed with H2AZ in proliferating single cells of patient-derived GBM, and is inversely correlated with CDKN1A, a canonical p53 target that encodes p21 (refs. 3,4). This work identifies BRD8 as a selective epigenetic vulnerability for a malignancy for which treatment has not improved for decades. Moreover, targeting the bromodomain of BRD8 may be a promising therapeutic strategy for patients with TP53WT GBM.
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Affiliation(s)
- Xueqin Sun
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Olaf Klingbeil
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Bin Lu
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Caizhi Wu
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Carlos Ballon
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Meng Ouyang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Xiaoli S Wu
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
- Genetics Program, Stony Brook University, Stony Brook, NY, USA
| | - Ying Jin
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Yon Hwangbo
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Yu-Han Huang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | - Kenneth Chang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Jung Park
- Department of Neurosurgery, Zucker School of Medicine at Hofstra Northwell, Lake Success, NY, USA
| | - Taemoon Chung
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Scott K Lyons
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Junwei Shi
- Department of Cancer Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Hannes Vogel
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Michael Schulder
- Department of Neurosurgery, Zucker School of Medicine at Hofstra Northwell, Lake Success, NY, USA
| | | | - Alea A Mills
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
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Wang Y, Wang G, Zheng H, Liu J, Ma G, Huang G, Song Q, Du J. Distinct gene mutation profiles among multiple and single primary lung adenocarcinoma. Front Oncol 2022; 12. [PMID: 36531058 PMCID: PMC9755731 DOI: 10.3389/fonc.2022.1014997] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2023] Open
Abstract
With the development of technologies, multiple primary lung cancer (MPLC) has been detected more frequently. Although large-scale genomics studies have made significant progress, the aberrant gene mutation in MPLC is largely unclear. In this study, 141 and 44 lesions from single and multiple primary lung adenocarcinoma (SP- and MP-LUAD) were analyzed. DNA and RNA were extracted from formalin-fixed, paraffin-embedded tumor tissue and sequenced by using the next-generation sequencing-based YuanSu450TM gene panel. We systematically analyzed the clinical features and gene mutations of these lesions, and found that there were six genes differently mutated in MP-LUAD and SP-LUAD lesions, including RBM10, CDK4, ATRX, NTRK1, PREX2, SS18. Data from the cBioPortal database indicated that mutation of these genes was related to some clinical characteristics, such as TMB, tumor type, et al. Besides, heterogeneity analysis suggested that different lesions could be tracked back to monophyletic relationships. We compared the mutation landscape of MP-LUAD and SP-LUAD and identified six differentially mutated genes (RBM10, CDK4, ATRX, NTRK1, PREX2, SS18), and certain SNV loci in TP53 and EGFR which might play key roles in lineage decomposition in multifocal samples. These findings may provide insight into personalized prognosis prediction and new therapies for MP-LUAD patients.
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Zhang Z, Lai G, Sun L. Basement-Membrane-Related Gene Signature Predicts Prognosis in WHO Grade II/III Gliomas. Genes (Basel) 2022; 13:1810. [PMID: 36292695 PMCID: PMC9602375 DOI: 10.3390/genes13101810] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 09/29/2022] [Accepted: 10/05/2022] [Indexed: 10/17/2023] Open
Abstract
Gliomas that are classified as grade II or grade III lesions by the World Health Organization (WHO) are highly aggressive, and some may develop into glioblastomas within a short period, thus portending the conferral of a poor prognosis for patients. Previous studies have implicated basement membrane (BM)-related genes in glioma development. In this study, we constructed a prognostic model for WHO grade II/III gliomas in accordance with the risk scores of BM-related genes. Differentially expressed genes (DEGs) in the glioma samples relative to normal samples were screened from the GEO database, and five prognostically relevant BM-related genes, including NELL2, UNC5A, TNC, CSPG4, and SMOC1, were selected using Cox regression analyses for the risk score model. The median risk score was calculated, based on which high- and low-risk groups of patients were generated. The clinical information, pathological information, and risk group were combined to establish a prognostic nomogram. Both the nomogram and risk score model performed well in the independent CGGA cohort. Gene set enrichment analysis (GSEA) and immune profile, drug sensitivity, and tumor mutation burden (TMB) analyses were performed in the two risk groups. A significant enrichment of 'Autophagy-other', 'Collecting duct acid secretion', 'Glycosphingolipid biosynthesis-lacto and neolacto series', 'Valine, leucine, and isoleucine degradation', 'Vibrio cholerae infection', and other pathways were observed for patients with high risk. In addition, higher proportions of monocytes and resting CD4 memory T cells were observed in the low- and high-risk groups, respectively. In conclusion, the BM-related gene risk score model can guide the clinical management of WHO grade II and III gliomas.
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Affiliation(s)
- Zhaogang Zhang
- Department of Radiology, The Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
| | - Guichuan Lai
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 400016, China
| | - Lingling Sun
- Department of Radiology, The Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
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Li L, Wu L, Yin X, Li C, Hua Z. Bulk and Single-Cell Transcriptome Analyses Revealed That the Pyroptosis of Glioma-Associated Macrophages Participates in Tumor Progression and Immunosuppression. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:1803544. [PMID: 36199426 PMCID: PMC9529448 DOI: 10.1155/2022/1803544] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/13/2022] [Accepted: 08/31/2022] [Indexed: 11/18/2022]
Abstract
Glioma is the most common of all central nervous system (CNS) malignancies and is associated with a poor prognosis. Pyroptosis has been proven to be associated with the progression of multiple tumors and CNS diseases. However, the relationships between pyroptosis and clinical prognosis and immune cell infiltration are unclear in glioma. In this study, we conducted a comprehensive exploration of pyroptosis in glioma. First, prognosis-related genes were screened at each key regulatory locus in the pyroptosis pathway, and the prognostic ability and coexpression relationships of GSDMD and its upstream pathway genes NLRC4/CASP1/CASP4 were identified and well validated in multiple datasets. Tissue microarray-based immunohistochemistry results showed higher levels of NLRC4 and N-terminal GSDMD in high-grade gliomas, providing conclusive evidence of pyroptosis in gliomas. The robustness of the prognostic model based on these four genes was well validated in TCGA and CGGA cohorts. Bulk RNA-seq-based analysis showed that the group defined as the high-risk group according to the model showed activation of multiple inflammatory response pathways and impaired synaptic gene expression and had a higher infiltration of bone marrow-derived macrophages (BMDMs) and a hypersuppressed immune microenvironment. More importantly, three independent single-cell RNA-seq (scRNA-seq) datasets demonstrated that tumor-infiltrating macrophages, particularly BMDMs but not tissue-resident microglia, showed significant coexpression of the GSDMD and CASP genes, and BMDMs from high-grade gliomas accounted for a higher proportion of immune infiltrating cells and had higher expression of pyroptosis genes. Finally, we revealed the activation of pathways in response to LPS/bacteria and oxidative stress during BMDM development toward the pyroptosis cell fate by pseudotime trajectory analysis, suggesting potential BMDM pyroptosis initiators. The above results provide not only novel insights into the pathological mechanisms of glioma but also novel therapeutic targets for glioma, suggesting the potential application of pyroptosis inhibitors (e.g., disulfiram).
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Affiliation(s)
- Lin Li
- The State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
| | - Leyang Wu
- The State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
- Changzhou High-Tech Research Institute of Nanjing University and Jiangsu Target Pharma Laboratories Inc., Changzhou, China
| | - Xingpeng Yin
- The State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
| | - Chenyang Li
- The State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
| | - Zichun Hua
- The State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
- Changzhou High-Tech Research Institute of Nanjing University and Jiangsu Target Pharma Laboratories Inc., Changzhou, China
- School of Biopharmacy, China Pharmaceutical University, Nanjing, China
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Meng L, Zhang R, Fa L, Zhang L, Wang L, Shao G. ATRX status in patients with gliomas: Radiomics analysis. Medicine (Baltimore) 2022; 101:e30189. [PMID: 36123880 PMCID: PMC9478307 DOI: 10.1097/md.0000000000030189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
MATERIAL AND METHODS A cohort of 123 patients diagnosed with gliomas (World Health Organization grades II-IV) who underwent surgery and was treated at our center between January 2016 and July 2020, was enrolled in this retrospective study. Radiomics features were extracted from MR T1WI, T2WI, T2FLAIR, CE-T1WI, and ADC images. Patients were randomly split into training and validation sets at a ratio of 4:1. A radiomics signature was constructed using the least absolute shrinkage and selection operator (LASSO) to train the SVM model using the training set. The prediction accuracy and area under curve and other evaluation indexes were used to explore the performance of the model established in this study for predicting the ATRX mutation state. RESULTS Fifteen radiomic features were selected to generate an ATRX-associated radiomic signature using the LASSO logistic regression model. The area under curve for ATRX mutation (ATRX(-)) on training set was 0.93 (95% confidence interval [CI]: 0.87-1.0), with the sensitivity, specificity and accuracy being 0.91, 0.82 and 0.88, while on the validation set were 0.84 (95% CI: 0.63-0.91), with the sensitivity, specificity and accuracy of 0.73, 0.86, and 0.79, respectively. CONCLUSIONS These results indicate that radiomic features derived from preoperative MRI facilitat efficient prediction of ATRX status in gliomas, thus providing a novel evaluation method for noninvasive imaging biomarkers.
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Affiliation(s)
- Linlin Meng
- Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Ran Zhang
- Huiying Medical Technology Co. Ltd, Beijing, China
| | - Liangguo Fa
- Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Lulu Zhang
- Department of Pathology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Linlin Wang
- Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Guangrui Shao
- Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- * Correspondence: Guangrui Shao, Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, No. 247 Beiyuan Road, Jinan, Shandong (e-mail: )
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Bartholf DeWitt S, Hoskinson Plumlee S, Brighton HE, Sivaraj D, Martz E, Zand M, Kumar V, Sheth MU, Floyd W, Spruance JV, Hawkey N, Varghese S, Ruan J, Kirsch DG, Somarelli JA, Alman B, Eward WC. Loss of ATRX promotes aggressive features of osteosarcoma with increased NF-κB signaling and integrin binding. JCI Insight 2022; 7:e151583. [PMID: 36073547 PMCID: PMC9536280 DOI: 10.1172/jci.insight.151583] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 06/21/2022] [Indexed: 11/17/2022] Open
Abstract
Osteosarcoma (OS) is a lethal disease with few known targeted therapies. Here, we show that decreased ATRX expression is associated with more aggressive tumor cell phenotypes, including increased growth, migration, invasion, and metastasis. These phenotypic changes correspond with activation of NF-κB signaling, extracellular matrix remodeling, increased integrin αvβ3 expression, and ETS family transcription factor binding. Here, we characterize these changes in vitro, in vivo, and in a data set of human OS patients. This increased aggression substantially sensitizes ATRX-deficient OS cells to integrin signaling inhibition. Thus, ATRX plays an important tumor-suppression role in OS, and loss of function of this gene may underlie new therapeutic vulnerabilities. The relationship between ATRX expression and integrin binding, NF-κB activation, and ETS family transcription factor binding has not been described in previous studies and may impact the pathophysiology of other diseases with ATRX loss, including other cancers and the ATR-X α thalassemia intellectual disability syndrome.
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Affiliation(s)
- Suzanne Bartholf DeWitt
- Department of Orthopaedic Surgery and
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | | | | | | | | | - Maryam Zand
- Computer Science Department, The University of Texas at San Antonio, San Antonio, Texas, USA
| | - Vardhman Kumar
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
| | - Maya U. Sheth
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Warren Floyd
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Jacob V. Spruance
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Nathan Hawkey
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Shyni Varghese
- Department of Orthopaedic Surgery and
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina, USA
| | - Jianhua Ruan
- Computer Science Department, The University of Texas at San Antonio, San Antonio, Texas, USA
| | - David G. Kirsch
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA
- Department of Pharmacology and Cancer Biology and
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina, USA
| | - Jason A. Somarelli
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
- Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Ben Alman
- Department of Orthopaedic Surgery and
| | - William C. Eward
- Department of Orthopaedic Surgery and
- College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA
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Hersh AM, Jallo GI, Shimony N. Surgical approaches to intramedullary spinal cord astrocytomas in the age of genomics. Front Oncol 2022; 12:982089. [PMID: 36147920 PMCID: PMC9485889 DOI: 10.3389/fonc.2022.982089] [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: 06/30/2022] [Accepted: 08/11/2022] [Indexed: 11/25/2022] Open
Abstract
Intramedullary astrocytomas represent approximately 30%–40% of all intramedullary tumors and are the most common intramedullary tumor in children. Surgical resection is considered the mainstay of treatment in symptomatic patients with neurological deficits. Gross total resection (GTR) can be difficult to achieve as astrocytomas frequently present as diffuse lesions that infiltrate the cord. Therefore, GTR carries a substantial risk of new post-operative deficits. Consequently, subtotal resection and biopsy are often the only surgical options attempted. A midline or paramedian sulcal myelotomy is frequently used for surgical resection, although a dorsal root entry zone myelotomy can be used for lateral tumors. Intra-operative neuromonitoring using D-wave integrity, somatosensory, and motor evoked potentials is critical to facilitating a safe resection. Adjuvant radiation and chemotherapy, such as temozolomide, are often administered for high-grade recurrent or progressive lesions; however, consensus is lacking on their efficacy. Biopsied tumors can be analyzed for molecular markers that inform clinicians about the tumor’s prognosis and response to conventional as well as targeted therapeutic treatments. Stratification of intramedullary tumors is increasingly based on molecular features and mutational status. The landscape of genetic and epigenetic mutations in intramedullary astrocytomas is not equivalent to their intracranial counterparts, with important difference in frequency and type of mutations. Therefore, dedicated attention is needed to cohorts of patients with intramedullary tumors. Targeted therapeutic agents can be designed and administered to patients based on their mutational status, which may be used in coordination with traditional surgical resection to improve overall survival and functional status.
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Affiliation(s)
- Andrew M. Hersh
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - George I. Jallo
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurosurgery, Johns Hopkins Medicine, Institute for Brain Protection Sciences, Johns Hopkins All Children’s Hospital, St. Petersburg, FL, United States
- *Correspondence: George I. Jallo,
| | - Nir Shimony
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Surgery, St. Jude Children’s Research Hospital, Memphis, TN, United States
- Le Bonheur Neuroscience Institute, Le Bonheur Children’s Hospital, Memphis, TN, United States
- Department of Neurosurgery, University of Tennessee Health Science Center, Memphis, TN, United States
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Bieluszewska A, Wulfridge P, Doherty J, Ren W, Sarma K. ATRX histone binding and helicase activities have distinct roles in neuronal differentiation. Nucleic Acids Res 2022; 50:9162-9174. [PMID: 35998910 PMCID: PMC9458459 DOI: 10.1093/nar/gkac683] [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: 05/17/2022] [Revised: 07/21/2022] [Accepted: 07/27/2022] [Indexed: 12/24/2022] Open
Abstract
ATRX is a chromatin remodeler, which is mutated in ATRX syndrome, a neurodevelopmental disorder. ATRX mutations that alter histone binding or chromatin remodeling activities cluster in the PHD finger or the helicase domain respectively. Using engineered mouse embryonic stem cells that exclusively express ATRX protein with mutations in the PHD finger (PHDmut) or helicase domains (K1584R), we examine how specific ATRX mutations affect neurodifferentiation. ATRX PHDmut and K1584R proteins interact with the DAXX histone chaperone but show reduced localization to pericentromeres. Neurodifferentiation is both delayed and compromised in PHDmut and K1584R, and manifest differently from complete ATRX loss. We observe reduced enrichment of PHDmut protein to ATRX targets, while K1584R accumulates at these sites. Interestingly, ATRX mutations have distinct effects on the genome-wide localization of the polycomb repressive complex 2 (PRC2), with PHDmut and ATRX knockout showing reduced PRC2 binding at polycomb targets and K1584R showing loss at some sites and gains at others. Notably, each mutation associated with unique gene signatures, suggesting distinct pathways leading to impaired neurodifferentiation. Our results indicate that the histone binding and chromatin remodeling functions of ATRX play non-redundant roles in neurodevelopment, and when mutated lead to ATRX syndrome through separate regulatory pathways.
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Affiliation(s)
- Anna Bieluszewska
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104, USA,Epigenetics Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Phillip Wulfridge
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104, USA,Epigenetics Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - John Doherty
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104, USA,Epigenetics Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Wenqing Ren
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA 19104, USA,Epigenetics Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kavitha Sarma
- To whom correspondence should be addressed. Tel: +1 215 898 3970;
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Kim S, Chowdhury T, Yu HJ, Kahng JY, Lee CE, Choi SA, Kim KM, Kang H, Lee JH, Lee ST, Won JK, Kim KH, Kim MS, Lee JY, Kim JW, Kim YH, Kim TM, Choi SH, Phi JH, Shin YK, Ku JL, Lee S, Yun H, Lee H, Kim D, Kim K, Hur JK, Park SH, Kim SK, Park CK. The telomere maintenance mechanism spectrum and its dynamics in gliomas. Genome Med 2022; 14:88. [PMID: 35953846 PMCID: PMC9367055 DOI: 10.1186/s13073-022-01095-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 07/25/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The activation of the telomere maintenance mechanism (TMM) is one of the critical drivers of cancer cell immortality. In gliomas, TERT expression and TERT promoter mutation are considered to reliably indicate telomerase activation, while ATRX mutation and/or loss indicates an alternative lengthening of telomeres (ALT). However, these relationships have not been extensively validated in tumor tissues. METHODS Telomerase repeated amplification protocol (TRAP) and C-circle assays were used to profile and characterize the TMM cross-sectionally (n = 412) and temporally (n = 133) across glioma samples. WES, RNA-seq, and NanoString analyses were performed to identify and validate the genetic characteristics of the TMM groups. RESULTS We show through the direct measurement of telomerase activity and ALT in a large set of glioma samples that the TMM in glioma cannot be defined solely by the combination of telomerase activity and ALT, regardless of TERT expression, TERT promoter mutation, and ATRX loss. Moreover, we observed that a considerable proportion of gliomas lacked both telomerase activity and ALT. This telomerase activation-negative and ALT negative group exhibited evidence of slow growth potential. By analyzing a set of longitudinal samples from a separate cohort of glioma patients, we discovered that the TMM is not fixed and can change with glioma progression. CONCLUSIONS This study suggests that the TMM is dynamic and reflects the plasticity and oncogenicity of tumor cells. Direct measurement of telomerase enzyme activity and evidence of ALT should be considered when defining TMM. An accurate understanding of the TMM in glioma is expected to provide important information for establishing cancer management strategies.
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Affiliation(s)
- Sojin Kim
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Tamrin Chowdhury
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Hyeon Jong Yu
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Jee Ye Kahng
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Chae Eun Lee
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Seung Ah Choi
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Division of Pediatric Neurosurgery, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, 03080, Republic of Korea
| | - Kyung-Min Kim
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Ho Kang
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Joo Ho Lee
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Department of Radiation Oncology, Seoul National University Hospital, Seoul, 03080, Republic of Korea
| | - Soon-Tae Lee
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Department of Neurology, Seoul National University Hospital, Seoul, 03080, Republic of Korea
| | - Jae-Kyung Won
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Department of Pathology, Seoul National University Hospital, Seoul, 03080, Republic of Korea
| | - Kyung Hyun Kim
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Division of Pediatric Neurosurgery, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, 03080, Republic of Korea
| | - Min-Sung Kim
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Ji Yeoun Lee
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Division of Pediatric Neurosurgery, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, 03080, Republic of Korea
- Department of Anatomy and Cell Biology, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Jin Wook Kim
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Yong-Hwy Kim
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Tae Min Kim
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, 03080, Republic of Korea
| | - Seung Hong Choi
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Department of Radiology, Seoul National University Hospital, Seoul, 03080, Republic of Korea
| | - Ji Hoon Phi
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Division of Pediatric Neurosurgery, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, 03080, Republic of Korea
| | - Young-Kyoung Shin
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Korean Cell Line Bank, Laboratory of Cell Biology, Cancer Research Institute, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Ja-Lok Ku
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Korean Cell Line Bank, Laboratory of Cell Biology, Cancer Research Institute, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
| | - Sungyoung Lee
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, 03080, Republic of Korea
| | - Hongseok Yun
- Department of Genomic Medicine, Seoul National University Hospital, Seoul, 03080, Republic of Korea
| | - Hwajin Lee
- Biomedical Knowledge Engineering Laboratory and Dental Research Institute, Seoul National University, Seoul, 08826, Republic of Korea
| | - Dokyoung Kim
- Department of Anatomy and Neurobiology, College of Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea
| | - Kyoungmi Kim
- Department of Biomedical Sciences and Department of Physiology, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Junho K Hur
- Department of Genetics, College of Medicine, Hanyang University, Seoul, 04763, Korea
| | - Sung-Hye Park
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Department of Pathology, Seoul National University Hospital, Seoul, 03080, Republic of Korea
| | - Seung-Ki Kim
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea
- Division of Pediatric Neurosurgery, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, 03080, Republic of Korea
| | - Chul-Kee Park
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
- Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
- Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Korea.
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Gaspar TB, Macedo S, Sá A, Soares MA, Rodrigues DF, Sousa M, Mendes N, Martins RS, Cardoso L, Borges I, Canberk S, Gärtner F, Miranda-Alves L, Sobrinho-Simões M, Lopes JM, Soares P, Vinagre J. Characterisation of an Atrx Conditional Knockout Mouse Model: Atrx Loss Causes Endocrine Dysfunction Rather Than Pancreatic Neuroendocrine Tumour. Cancers (Basel) 2022; 14:cancers14163865. [PMID: 36010860 PMCID: PMC9406167 DOI: 10.3390/cancers14163865] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/04/2022] [Accepted: 08/08/2022] [Indexed: 12/22/2022] Open
Abstract
Simple Summary ATRX and DAXX mutations occur in 30–40% of pancreatic neuroendocrine tumours (PanNETs), and there are no reports in the literature of any genetically engineered mouse model (GEMM) evaluating the effect of Atrx disruption as a putative driver event on PanNET initiation. We created a novel GEMM with Atrx conditional disruption in β cells. We observed that this genetic alteration, per se, was not tumourigenic, but we reported novel roles of Atrx on endocrine function, which resulted in dysglycaemia and the exacerbation of inflammageing (increased pancreatic inflammation and hepatic steatosis). Abstract ATRX is a chromatin remodeller that maintains telomere homeostasis. Loss of ATRX is described in approximately 10% of pancreatic neuroendocrine tumours (PanNETs) and associated with poorer prognostic features. Here, we present a genetically engineered mouse model (GEMM) addressing the role of Atrx loss (AtrxKO) in pancreatic β cells, evaluating a large cohort of ageing mice (for up to 24 months (mo.)). Atrx loss did not cause PanNET formation but rather resulted in worsening of ageing-related pancreatic inflammation and endocrine dysfunction in the first year of life. Histopathological evaluation highlighted an exacerbated prevalence and intensity of pancreatic inflammation, ageing features, and hepatic steatosis in AtrxKO mice. Homozygous floxed mice presented hyperglycaemia, increased weights, and glucose intolerance after 6 months, but alterations in insulinaemia were not detected. Floxed individuals presented an improper growth of their pancreatic endocrine fraction that may explain such an endocrine imbalance. A pilot study of BRACO-19 administration to AtrxKO mice resulted in telomere instability, reinforcing the involvement of Atrx in the maintenance of β cell telomere homeostasis. Thereby, a non-obese dysglycaemic GEMM of disrupted Atrx is here presented as potentially useful for metabolic studies and putative candidate for inserting additional tumourigenic genetic events.
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Affiliation(s)
- Tiago Bordeira Gaspar
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), 4200-135 Porto, Portugal
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal
- Faculty of Medicine of the University of Porto (FMUP), 4200-319 Porto, Portugal
| | - Sofia Macedo
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), 4200-135 Porto, Portugal
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal
- Faculty of Medicine of the University of Porto (FMUP), 4200-319 Porto, Portugal
| | - Ana Sá
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), 4200-135 Porto, Portugal
| | - Mariana Alves Soares
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), 4200-135 Porto, Portugal
- Laboratório de Endocrinologia Experimental (LEEx), Instituto de Ciências Biomédicas (ICB), Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-912, Brazil
- Programa de Pós-Graduação em Endocrinologia, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-905, Brazil
| | - Daniela Ferreira Rodrigues
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute for Molecular and Cell Biology (IBMC), University of Porto, 4200-135 Porto, Portugal
| | - Mafalda Sousa
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute for Molecular and Cell Biology (IBMC), University of Porto, 4200-135 Porto, Portugal
| | - Nuno Mendes
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), 4200-135 Porto, Portugal
| | - Rui Sousa Martins
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), 4200-135 Porto, Portugal
- Faculty of Sciences of the University of Porto (FCUP), 4169-007 Porto, Portugal
| | - Luís Cardoso
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), 4200-135 Porto, Portugal
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar e Universitário de Coimbra, 3000-075 Coimbra, Portugal
| | - Inês Borges
- Centro de Diagnóstico Veterinário (Cedivet), 4200-071 Porto, Portugal
| | - Sule Canberk
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), 4200-135 Porto, Portugal
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal
- Faculty of Medicine of the University of Porto (FMUP), 4200-319 Porto, Portugal
| | - Fátima Gärtner
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), 4200-135 Porto, Portugal
| | - Leandro Miranda-Alves
- Laboratório de Endocrinologia Experimental (LEEx), Instituto de Ciências Biomédicas (ICB), Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-912, Brazil
- Programa de Pós-Graduação em Endocrinologia, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-905, Brazil
| | - Manuel Sobrinho-Simões
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), 4200-135 Porto, Portugal
- Faculty of Medicine of the University of Porto (FMUP), 4200-319 Porto, Portugal
- Department of Pathology, Centro Hospitalar Universitário de São João (CHUSJ), 4200-319 Porto, Portugal
| | - José Manuel Lopes
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), 4200-135 Porto, Portugal
- Faculty of Medicine of the University of Porto (FMUP), 4200-319 Porto, Portugal
- Department of Pathology, Centro Hospitalar Universitário de São João (CHUSJ), 4200-319 Porto, Portugal
| | - Paula Soares
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), 4200-135 Porto, Portugal
- Faculty of Medicine of the University of Porto (FMUP), 4200-319 Porto, Portugal
| | - João Vinagre
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), 4200-135 Porto, Portugal
- Faculty of Medicine of the University of Porto (FMUP), 4200-319 Porto, Portugal
- Correspondence: ; Tel.: +351-225-570-700
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