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Douglas C, Lomeli N, Vu T, Pham J, Bota DA. WITHDRAWN: LonP1 Drives Proneural Mesenchymal Transition in IDH1-R132H Diffuse Glioma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.04.13.536817. [PMID: 37131765 PMCID: PMC10153221 DOI: 10.1101/2023.04.13.536817] [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
The authors have withdrawn their manuscript owing to massive revision and data validation. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.
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Romanishin A, Vasilev A, Khasanshin E, Evtekhov A, Pusynin E, Rubina K, Kakotkin V, Agapov M, Semina E. Oncolytic viral therapy for gliomas: Advances in the mechanisms and approaches to delivery. Virology 2024; 593:110033. [PMID: 38442508 DOI: 10.1016/j.virol.2024.110033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 02/04/2024] [Accepted: 02/19/2024] [Indexed: 03/07/2024]
Abstract
Glioma is a diverse category of tumors originating from glial cells encompasses various subtypes, based on the specific type of glial cells involved. The most aggressive is glioblastoma multiforme (GBM), which stands as the predominant primary malignant tumor within the central nervous system in adults. Despite the application of treatment strategy, the median survival rate for GBM patients still hovers around 15 months. Oncolytic viruses (OVs) are artificially engineered viruses designed to selectively target and induce apoptosis in cancer cells. While clinical trials have demonstrated encouraging results with intratumoral OV injections for some cancers, applying this approach to GBM presents unique challenges. Here we elaborate on current trends in oncolytic viral therapy and their delivery methods. We delve into the various methods of delivering OVs for therapy, exploring their respective advantages and disadvantages and discussing how selecting the optimal delivery method can enhance the efficacy of this innovative treatment approach.
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Affiliation(s)
- A Romanishin
- Institute of Medicine and Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, 236041, Russia.
| | - A Vasilev
- Institute of Medicine and Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, 236041, Russia
| | - E Khasanshin
- Kaliningrad Regional Hospital, Kaliningrad, 236016, Russia
| | - A Evtekhov
- Kaliningrad Regional Hospital, Kaliningrad, 236016, Russia
| | - E Pusynin
- Kaliningrad Regional Hospital, Kaliningrad, 236016, Russia
| | - K Rubina
- Faculty of Medicine, Lomonosov Moscow State University, Lomonosovsky Ave., 27/1, 119991, Moscow, Russia
| | - V Kakotkin
- Institute of Medicine and Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, 236041, Russia
| | - M Agapov
- Institute of Medicine and Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, 236041, Russia; Faculty of Medicine, Lomonosov Moscow State University, Lomonosovsky Ave., 27/1, 119991, Moscow, Russia
| | - E Semina
- Institute of Medicine and Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, 236041, Russia; Faculty of Medicine, Lomonosov Moscow State University, Lomonosovsky Ave., 27/1, 119991, Moscow, Russia
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Sprinzen L, Garcia F, Mela A, Lei L, Upadhyayula P, Mahajan A, Humala N, Manier L, Caprioli R, Quiñones-Hinojosa A, Casaccia P, Canoll P. EZH2 Inhibition Sensitizes IDH1R132H-Mutant Gliomas to Histone Deacetylase Inhibitor. Cells 2024; 13:219. [PMID: 38334611 PMCID: PMC10854521 DOI: 10.3390/cells13030219] [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: 12/18/2023] [Revised: 01/13/2024] [Accepted: 01/19/2024] [Indexed: 02/10/2024] Open
Abstract
Isocitrate Dehydrogenase-1 (IDH1) is commonly mutated in lower-grade diffuse gliomas. The IDH1R132H mutation is an important diagnostic tool for tumor diagnosis and prognosis; however, its role in glioma development, and its impact on response to therapy, is not fully understood. We developed a murine model of proneural IDH1R132H-mutated glioma that shows elevated production of 2-hydroxyglutarate (2-HG) and increased trimethylation of lysine residue K27 on histone H3 (H3K27me3) compared to IDH1 wild-type tumors. We found that using Tazemetostat to inhibit the methyltransferase for H3K27, Enhancer of Zeste 2 (EZH2), reduced H3K27me3 levels and increased acetylation on H3K27. We also found that, although the histone deacetylase inhibitor (HDACi) Panobinostat was less cytotoxic in IDH1R132H-mutated cells (either isolated from murine glioma or oligodendrocyte progenitor cells infected in vitro with a retrovirus expressing IDH1R132H) compared to IDH1-wild-type cells, combination treatment with Tazemetostat is synergistic in both mutant and wild-type models. These findings indicate a novel therapeutic strategy for IDH1-mutated gliomas that targets the specific epigenetic alteration in these tumors.
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Affiliation(s)
- Lisa Sprinzen
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA; (L.S.); (F.G.); (A.M.)
| | - Franklin Garcia
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA; (L.S.); (F.G.); (A.M.)
| | - Angeliki Mela
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA; (L.S.); (F.G.); (A.M.)
| | - Liang Lei
- Department of Neurological Surgery, Columbia University Medical Center, New York, NY 10032, USA; (L.L.); (P.U.); (N.H.)
| | - Pavan Upadhyayula
- Department of Neurological Surgery, Columbia University Medical Center, New York, NY 10032, USA; (L.L.); (P.U.); (N.H.)
| | - Aayushi Mahajan
- Department of Neurological Surgery, Columbia University Medical Center, New York, NY 10032, USA; (L.L.); (P.U.); (N.H.)
| | - Nelson Humala
- Department of Neurological Surgery, Columbia University Medical Center, New York, NY 10032, USA; (L.L.); (P.U.); (N.H.)
| | - Lisa Manier
- Department of Chemistry, Vanderbilt School of Medicine, Nashville, TN 37240, USA; (L.M.); (R.C.)
| | - Richard Caprioli
- Department of Chemistry, Vanderbilt School of Medicine, Nashville, TN 37240, USA; (L.M.); (R.C.)
| | | | - Patrizia Casaccia
- Neuroscience Initiative, Advanced Science Research Center, City University of New York, New York, NY 10031, USA;
| | - Peter Canoll
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA; (L.S.); (F.G.); (A.M.)
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Brynjulvsen M, Solli E, Walewska M, Zucknick M, Djirackor L, Langmoen IA, Mughal AA, Skaga E, Vik-Mo EO, Sandberg CJ. Functional and Molecular Heterogeneity in Glioma Stem Cells Derived from Multiregional Sampling. Cancers (Basel) 2023; 15:5826. [PMID: 38136371 PMCID: PMC10741477 DOI: 10.3390/cancers15245826] [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: 11/07/2023] [Revised: 12/09/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
Glioblastoma (GBM) is an aggressive and highly heterogeneous primary brain tumor. Glioma stem cells represent a subpopulation of tumor cells with stem cell traits that are presumed to be the cause of tumor relapse. There exists complex tumor heterogeneity in drug sensitivity patterns between glioma stem cell (GSC) cultures derived from different patients. Here, we describe that heterogeneity also exists between GSC cultures derived from multiple biopsies within a single tumor. From biopsies harvested within spatially distinct regions representing the entire tumor mass, we established seven GSC cultures and compared their stem cell properties, mutations, gene expression profiles, and drug sensitivity patterns against 115 different anticancer drugs. The results were compared to 14 GSC cultures derived from other patients. Between the multiregional-derived GSC cultures, we observed only minor differences in their phenotype, proliferative capacity, and global gene expression. Further, they displayed intratumoral heterogeneity in mutational profiles and sensitivity patterns to anticancer drugs. This heterogeneity, however, did not exceed the extensive heterogeneity found between GSC cultures derived from other GBM patients. Our results suggest that the use of GSC cultures from one single focal biopsy may underestimate the overall complexity of the GSC population and display the importance of including GSC cultures reflecting the entire tumor mass in drug screening strategies.
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Affiliation(s)
- Marit Brynjulvsen
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, P.O. Box 1112, 0317 Oslo, Norway
| | - Elise Solli
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
| | - Maria Walewska
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
| | - Manuela Zucknick
- Department of Biostatistics, Oslo Centre for Biostatistics and Epidemiology, University of Oslo, Blindern, P.O. Box 1122, 0317 Oslo, Norway
| | - Luna Djirackor
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
| | - Iver A. Langmoen
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, P.O. Box 1112, 0317 Oslo, Norway
| | - Awais Ahmad Mughal
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
| | - Erlend Skaga
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
| | - Einar O. Vik-Mo
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, P.O. Box 1112, 0317 Oslo, Norway
| | - Cecilie J. Sandberg
- Vilhelm Magnus Lab, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Nydalen, P.O. Box 4950, 0424 Oslo, Norway
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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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Nanomechanical Signatures in Glioma Cells Depend on CD44 Distribution in IDH1 Wild-Type but Not in IDH1R132H Mutant Early-Passage Cultures. Int J Mol Sci 2023; 24:ijms24044056. [PMID: 36835465 PMCID: PMC9959176 DOI: 10.3390/ijms24044056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 02/02/2023] [Accepted: 02/13/2023] [Indexed: 02/19/2023] Open
Abstract
Atomic force microscopy (AFM) recently burst into biomedicine, providing morphological and functional characteristics of cancer cells and their microenvironment responsible for tumor invasion and progression, although the novelty of this assay needs to coordinate the malignant profiles of patients' specimens to diagnostically valuable criteria. Applying high-resolution semi-contact AFM mapping on an extended number of cells, we analyzed the nanomechanical properties of glioma early-passage cell cultures with a different IDH1 R132H mutation status. Each cell culture was additionally clustered on CD44+/- cells to find possible nanomechanical signatures that differentiate cell phenotypes varying in proliferative activity and the characteristic surface marker. IDH1 R132H mutant cells compared to IDH1 wild-type ones (IDH1wt) characterized by two-fold increased stiffness and 1.5-fold elasticity modulus. CD44+/IDH1wt cells were two-fold more rigid and much stiffer than CD44-/IDH1wt ones. In contrast to IDH1 wild-type cells, CD44+/IDH1 R132H and CD44-/IDH1 R132H did not exhibit nanomechanical signatures providing statistically valuable differentiation of these subpopulations. The median stiffness depends on glioma cell types and decreases according to the following manner: IDH1 R132H mt (4.7 mN/m), CD44+/IDH1wt (3.7 mN/m), CD44-/IDH1wt (2.5 mN/m). This indicates that the quantitative nanomechanical mapping would be a promising assay for the quick cell population analysis suitable for detailed diagnostics and personalized treatment of glioma forms.
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Wu Z, Wang J, Li Y, Liu J, Kang Z, Yan W. Characterization of a lactate metabolism-related signature for evaluation of immune features and prediction prognosis in glioma. Front Neurol 2023; 13:1064349. [PMID: 36698888 PMCID: PMC9868722 DOI: 10.3389/fneur.2022.1064349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 12/12/2022] [Indexed: 01/11/2023] Open
Abstract
Background Glioma is one of the most typical tumors in the central nervous system with a poor prognosis, and the optimal management strategy remains controversial. Lactate in the tumor microenvironment is known to promote cancer progression, but its impact on clinical outcomes of glioma is largely unknown. Methods Glioma RNA-seq data were obtained from TCGA and GCGA databases. Lactate metabolism genes (LMGs) were then evaluated to construct an LMG model in glioma using Cox and LASSO regression. Immune cell infiltration, immune checkpoint gene expression, enriched pathways, genetic alteration, and drug sensitivity were compared within the risk subgroups. Based on the risk score and clinicopathological features, a nomogram was developed to predict prognosis in patients with glioma. Results Five genes (LDHA, LDHB, MRS2, SL16A1, and SL25A12) showed a good prognostic value and were used to construct an LMG-based risk score. This risk score was shown as an independent prognostic factor with good predictive power in both training and validation cohorts (p < 0.001). The LMG signature was found to be correlated with the expression of immune checkpoint genes and immune infiltration and could shape the tumor microenvironment. Genetic alteration, dysregulated metabolism, and tumorigenesis pathways could be the underlying contributing factors that affect LMG risk stratification. The patients with glioma in the LMG high-risk group showed high sensitivity to EGFR inhibitors. In addition, our nomogram model could effectively predict overall survival with an area under the curve value of 0.894. Conclusion We explored the characteristics of LMGs in glioma and proposed an LMG-based signature. This prognostic model could predict the survival of patients with glioma and help clinical oncologists plan more individualized and effective therapeutic regimens.
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Affiliation(s)
- Zhiqiang Wu
- Department of Musculoskeletal Surgery, Shanghai Cancer Center, Fudan University, Shanghai, China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jing Wang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Yanan Li
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Jianmin Liu
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China,*Correspondence: Jianmin Liu ✉
| | - Zijian Kang
- Department of Musculoskeletal Surgery, Shanghai Cancer Center, Fudan University, Shanghai, China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China,Department of Rheumatology and Immunology, Second Affiliated Hospital of Naval Medical University, Shanghai, China,Zijian Kang ✉
| | - Wangjun Yan
- Department of Musculoskeletal Surgery, Shanghai Cancer Center, Fudan University, Shanghai, China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China,Wangjun Yan ✉
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Sussman JH, Xu J, Amankulor N, Tan K. Dissecting the tumor microenvironment of epigenetically driven gliomas: Opportunities for single-cell and spatial multiomics. Neurooncol Adv 2023; 5:vdad101. [PMID: 37706202 PMCID: PMC10496944 DOI: 10.1093/noajnl/vdad101] [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] [Indexed: 09/15/2023] Open
Abstract
Malignant gliomas are incurable brain neoplasms with dismal prognoses and near-universal fatality, with minimal therapeutic progress despite billions of dollars invested in research and clinical trials over the last 2 decades. Many glioma studies have utilized disparate histologic and genomic platforms to characterize the stunning genomic, transcriptomic, and immunologic heterogeneity found in gliomas. Single-cell and spatial omics technologies enable unprecedented characterization of heterogeneity in solid malignancies and provide a granular annotation of transcriptional, epigenetic, and microenvironmental states with limited resected tissue. Heterogeneity in gliomas may be defined, at the broadest levels, by tumors ostensibly driven by epigenetic alterations (IDH- and histone-mutant) versus non-epigenetic tumors (IDH-wild type). Epigenetically driven tumors are defined by remarkable transcriptional programs, immunologically distinct microenvironments, and incompletely understood topography (unique cellular neighborhoods and cell-cell interactions). Thus, these tumors are the ideal substrate for single-cell multiomic technologies to disentangle the complex intra-tumoral features, including differentiation trajectories, tumor-immune cell interactions, and chromatin dysregulation. The current review summarizes the applications of single-cell multiomics to existing datasets of epigenetically driven glioma. More importantly, we discuss future capabilities and applications of novel multiomic strategies to answer outstanding questions, enable the development of potent therapeutic strategies, and improve personalized diagnostics and treatment via digital pathology.
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Affiliation(s)
- Jonathan H Sussman
- Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Medical Scientist Training Program, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jason Xu
- Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Medical Scientist Training Program, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Nduka Amankulor
- Department of Neurosurgery, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Kai Tan
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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