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Szulzewsky F, Thirimanne HN, Holland EC. Meningioma: current updates on genetics, classification, and mouse modeling. Ups J Med Sci 2024; 129:10579. [PMID: 38571886 PMCID: PMC10989216 DOI: 10.48101/ujms.v129.10579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 04/05/2024] Open
Abstract
Meningiomas, the most common primary brain tumors in adults, are often benign and curable by surgical resection. However, a subset is of higher grade, shows aggressive growth behavior as well as brain invasion, and often recurs even after several rounds of surgery. Increasing evidence suggests that tumor classification and grading primarily based on histopathology do not always accurately predict tumor aggressiveness and recurrence behavior. The underlying biology of aggressive treatment-resistant meningiomas and the impact of specific genetic aberrations present in these high-grade tumors is still only insufficiently understood. Therefore, an in-depth research into the biology of this tumor type is warranted. More recent studies based on large-scale molecular data such as whole exome/genome sequencing, DNA methylation sequencing, and RNA sequencing have provided new insights into the biology of meningiomas and have revealed new risk factors and prognostic subtypes. The most common genetic aberration in meningiomas is functional loss of NF2 and occurs in both low- and high-grade meningiomas, whereas NF2-wildtype meningiomas are enriched for recurrent mutations in TRAF7, KLF4, AKT1, PI3KCA, and SMO and are more frequently benign. Most meningioma mouse models are based on patient-derived xenografts and only recently have new genetically engineered mouse models of meningioma been developed that will aid in the systematic evaluation of specific mutations found in meningioma and their impact on tumor behavior. In this article, we review recent advances in the understanding of meningioma biology and classification and highlight the most common genetic mutations, as well as discuss new genetically engineered mouse models of meningioma.
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Affiliation(s)
- Frank Szulzewsky
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | | | - Eric C. Holland
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Seattle Translational Tumor Research Center, Fred Hutchinson Cancer Center, Seattle, WA, USA
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Lu X, Xue J, Lai Y, Tang X. Heterogeneity of mesencephalic dopaminergic neurons: From molecular classifications, electrophysiological properties to functional connectivity. FASEB J 2024; 38:e23465. [PMID: 38315491 DOI: 10.1096/fj.202302031r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 01/06/2024] [Accepted: 01/22/2024] [Indexed: 02/07/2024]
Abstract
The mesencephalic dopamine (DA) system is composed of neuronal subtypes that are molecularly and functionally distinct, are responsible for specific behaviors, and are closely associated with numerous brain disorders. Existing research has made significant advances in identifying the heterogeneity of mesencephalic DA neurons, which is necessary for understanding their diverse physiological functions and disease susceptibility. Moreover, there is a conflict regarding the electrophysiological properties of the distinct subsets of midbrain DA neurons. This review aimed to elucidate recent developments in the heterogeneity of midbrain DA neurons, including subpopulation categorization, electrophysiological characteristics, and functional connectivity to provide new strategies for accurately identifying distinct subtypes of midbrain DA neurons and investigating the underlying mechanisms of these neurons in various diseases.
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Affiliation(s)
- Xiaying Lu
- Department of Pathophysiology, School of Basic Medical Sciences, Gannan Medical University, Ganzhou, China
| | - Jinhua Xue
- Department of Pathophysiology, School of Basic Medical Sciences, Gannan Medical University, Ganzhou, China
| | - Yudong Lai
- Department of Human Anatomy, School of Basic Medical Sciences, Gannan Medical University, Ganzhou, China
| | - Xiaolu Tang
- The First Clinical Medical College, Gannan Medical University, Ganzhou, China
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Kuras M. Exploring the Complex and Multifaceted Interplay between Melanoma Cells and the Tumor Microenvironment. Int J Mol Sci 2023; 24:14403. [PMID: 37762707 PMCID: PMC10531837 DOI: 10.3390/ijms241814403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 09/17/2023] [Accepted: 09/20/2023] [Indexed: 09/29/2023] Open
Abstract
Malignant melanoma is a very aggressive skin cancer, characterized by a heterogeneous nature and high metastatic potential. The incidence of melanoma is continuously increasing worldwide, and it is one of the most common cancers in young adults. In the past twenty years, our understanding of melanoma biology has increased profoundly, and disease management for patients with disseminated disease has improved due to the emergence of immunotherapy and targeted therapy. However, a significant fraction of patients relapse or do not respond adequately to treatment. This can partly be explained by the complex signaling between the tumor and its microenvironment, giving rise to melanoma phenotypes with different patterns of disease progression. This review focuses on the key aspects and complex relationship between pathogenesis, genetic abnormalities, tumor microenvironment, cellular plasticity, and metabolic reprogramming in melanoma. By acquiring a deeper understanding of the multifaceted features of melanomagenesis, we can reach a point of more individualized and patient-centered disease management and reduced costs of ineffective treatments.
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Affiliation(s)
- Magdalena Kuras
- Department of Biomedical Engineering, Lund University, 221 00 Lund, Sweden;
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, 205 02 Malmö, Sweden
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Tirino G, Pompella L, Petrillo A, Laterza MM, Pappalardo A, Caterino M, Orditura M, Ciardiello F, Galizia G, De Vita F. What's New in Gastric Cancer: The Therapeutic Implications of Molecular Classifications and Future Perspectives. Int J Mol Sci 2018; 19:E2659. [PMID: 30205505 PMCID: PMC6165492 DOI: 10.3390/ijms19092659] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2018] [Revised: 09/03/2018] [Accepted: 09/05/2018] [Indexed: 02/05/2023] Open
Abstract
Despite some remarkable innovations and the advent of novel molecular classifications the prognosis of patients with advanced gastric cancer (GC) remains overall poor and current clinical application of new advances is disappointing. During the last years only Trastuzumab and Ramucirumab have been approved and currently used as standard of care targeted therapies, but the systemic management of advanced disease did not radically change in contrast with the high number of molecular drivers identified. The Cancer Genome Atlas (TCGA) and Asian Cancer Research Group (ACRG) classifications paved the way, also for GC, to that more contemporary therapeutic approach called "precision medicine" even if tumor heterogeneity and a complex genetic landscape still represent a strong barrier. The identification of specific cancer subgroups is also making possible a better selection of patients that are most likely to respond to immunotherapy. This review aims to critically overview the available molecular classifications summarizing the main druggable molecular drivers and their possible therapeutic implications also taking advantage of new technologies and acquisitions.
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Affiliation(s)
- Giuseppe Tirino
- Division of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania "Luigi Vanvitelli", Via Pansini n.5, 80131 Naples, Italy.
| | - Luca Pompella
- Division of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania "Luigi Vanvitelli", Via Pansini n.5, 80131 Naples, Italy.
| | - Angelica Petrillo
- Division of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania "Luigi Vanvitelli", Via Pansini n.5, 80131 Naples, Italy.
| | - Maria Maddalena Laterza
- Division of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania "Luigi Vanvitelli", Via Pansini n.5, 80131 Naples, Italy.
| | - Annalisa Pappalardo
- Division of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania "Luigi Vanvitelli", Via Pansini n.5, 80131 Naples, Italy.
| | - Marianna Caterino
- Division of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania "Luigi Vanvitelli", Via Pansini n.5, 80131 Naples, Italy.
| | - Michele Orditura
- Division of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania "Luigi Vanvitelli", Via Pansini n.5, 80131 Naples, Italy.
| | - Fortunato Ciardiello
- Division of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania "Luigi Vanvitelli", Via Pansini n.5, 80131 Naples, Italy.
| | - Gennaro Galizia
- Division of GI Tract Surgical Oncology, Department of Cardio-Thoracic and Respiratory Sciences, School of Medicine, University of Campania "Luigi Vanvitelli", Via Pansini n.5, 80131 Naples, Italy.
| | - Ferdinando De Vita
- Division of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania "Luigi Vanvitelli", Via Pansini n.5, 80131 Naples, Italy.
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