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Wang Y, Lian H, Li J, Zhao M, Hao Z, Zheng X, Zhao L, Cui J. The HIF-1α/PKM2 Feedback Loop in Relation to EGFR Mutational Status in Lung Adenocarcinoma. J INVEST SURG 2024; 37:2301081. [PMID: 38224012 DOI: 10.1080/08941939.2023.2301081] [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: 03/30/2023] [Accepted: 12/27/2023] [Indexed: 01/16/2024]
Abstract
OBJECTIVE Gene mutations in tumor cells can lead to several unique metabolic phenotypes, which are crucial for the proliferation of cancer cells. EGFR mutation (EGFR-mt) is the main oncogenic driving mutation in lung adenocarcinoma (LUAD). HIF-1 α and PKM2 are two key metabolic regulatory proteins that can form a feedback loop and promote cancer growth by promoting glycolysis. Here, the linkage between EGFR mutational status and HIF-1α/PKM2 feedback loop in LUAD were evaluated. METHODS Retrospective study were performed on LUAD patients (n = 89) undergoing first-time therapeutic surgical resection. EGFR mutation was analyzed by real-time PCR. Immunohistochemistry was used to measure the expressions of HIF-1α and PKM2. RESULTS We found that the protein expressions of HIF-1α and PKM2 were significantly higher in LUAD than normal lung tissues. In adenocarcinomas, the two protein expressions were both correlated with worse pTNM stage. Moreover, the correlation between the proteins of HIF-1α/PKM2 feedback loop and the EGFR mutational status were also analyzed. We found that EGFR-mt tumors showed higher HIF-1α and PKM2 proteins compared to tumors with EGFR wild-type. Meanwhile, HIF-1α expression was significantly correlated with higher pTNM stage, and PKM2 showed a similar trend, only in EGFR-mutated tumors. The expression of HIF-1α was positively correlated with PKM2 in LUAD, furthermore, this correlation was mainly in patients with EGFR-mt. CONCLUSION Different expression and clinical features of HIF-1α/PKM2 feedback loop was existed between LUAD and normal lung tissues, especially in EGFR mutational tumors, supporting the relationship between EGFR mutation and the key related proteins of aerobic glycolysis (HIF-1α and PKM2) in lung adenocarcinomas.
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Affiliation(s)
- Yuan Wang
- Department of Pathology, The Second Hospital, Hebei Medical University, Shijiazhuang, China
| | - Hongguang Lian
- Department of Pathology, The Second Hospital, Hebei Medical University, Shijiazhuang, China
| | - Jiajun Li
- Department of Pharmacology, Hebei Medical University, Shijiazhuang, China
| | - Man Zhao
- Laboratory of Pathology, Hebei Medical University, Shijiazhuang, China
| | - Zengfang Hao
- Department of Pathology, The Second Hospital, Hebei Medical University, Shijiazhuang, China
| | - Xue Zheng
- Department of Pathology, The Second Hospital, Hebei Medical University, Shijiazhuang, China
| | - Linyuan Zhao
- Department of Pathology, The Second Hospital, Hebei Medical University, Shijiazhuang, China
| | - Jinfeng Cui
- Department of Pathology, The Second Hospital, Hebei Medical University, Shijiazhuang, China
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Lin H, Liu C, Hu A, Zhang D, Yang H, Mao Y. Understanding the immunosuppressive microenvironment of glioma: mechanistic insights and clinical perspectives. J Hematol Oncol 2024; 17:31. [PMID: 38720342 PMCID: PMC11077829 DOI: 10.1186/s13045-024-01544-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 04/10/2024] [Indexed: 05/12/2024] Open
Abstract
Glioblastoma (GBM), the predominant and primary malignant intracranial tumor, poses a formidable challenge due to its immunosuppressive microenvironment, thereby confounding conventional therapeutic interventions. Despite the established treatment regimen comprising surgical intervention, radiotherapy, temozolomide administration, and the exploration of emerging modalities such as immunotherapy and integration of medicine and engineering technology therapy, the efficacy of these approaches remains constrained, resulting in suboptimal prognostic outcomes. In recent years, intensive scrutiny of the inhibitory and immunosuppressive milieu within GBM has underscored the significance of cellular constituents of the GBM microenvironment and their interactions with malignant cells and neurons. Novel immune and targeted therapy strategies have emerged, offering promising avenues for advancing GBM treatment. One pivotal mechanism orchestrating immunosuppression in GBM involves the aggregation of myeloid-derived suppressor cells (MDSCs), glioma-associated macrophage/microglia (GAM), and regulatory T cells (Tregs). Among these, MDSCs, though constituting a minority (4-8%) of CD45+ cells in GBM, play a central component in fostering immune evasion and propelling tumor progression, angiogenesis, invasion, and metastasis. MDSCs deploy intricate immunosuppressive mechanisms that adapt to the dynamic tumor microenvironment (TME). Understanding the interplay between GBM and MDSCs provides a compelling basis for therapeutic interventions. This review seeks to elucidate the immune regulatory mechanisms inherent in the GBM microenvironment, explore existing therapeutic targets, and consolidate recent insights into MDSC induction and their contribution to GBM immunosuppression. Additionally, the review comprehensively surveys ongoing clinical trials and potential treatment strategies, envisioning a future where targeting MDSCs could reshape the immune landscape of GBM. Through the synergistic integration of immunotherapy with other therapeutic modalities, this approach can establish a multidisciplinary, multi-target paradigm, ultimately improving the prognosis and quality of life in patients with GBM.
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Affiliation(s)
- Hao Lin
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Chaxian Liu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Ankang Hu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Duanwu Zhang
- Children's Hospital of Fudan University, and Shanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, People's Republic of China.
| | - Hui Yang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
- Institute for Translational Brain Research, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai Clinical Medical Center of Neurosurgery, Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
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3
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Trejo-Solís C, Castillo-Rodríguez RA, Serrano-García N, Silva-Adaya D, Vargas-Cruz S, Chávez-Cortéz EG, Gallardo-Pérez JC, Zavala-Vega S, Cruz-Salgado A, Magaña-Maldonado R. Metabolic Roles of HIF1, c-Myc, and p53 in Glioma Cells. Metabolites 2024; 14:249. [PMID: 38786726 PMCID: PMC11122955 DOI: 10.3390/metabo14050249] [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: 04/01/2024] [Revised: 04/18/2024] [Accepted: 04/20/2024] [Indexed: 05/25/2024] Open
Abstract
The metabolic reprogramming that promotes tumorigenesis in glioblastoma is induced by dynamic alterations in the hypoxic tumor microenvironment, as well as in transcriptional and signaling networks, which result in changes in global genetic expression. The signaling pathways PI3K/AKT/mTOR and RAS/RAF/MEK/ERK stimulate cell metabolism, either directly or indirectly, by modulating the transcriptional factors p53, HIF1, and c-Myc. The overexpression of HIF1 and c-Myc, master regulators of cellular metabolism, is a key contributor to the synthesis of bioenergetic molecules that mediate glioma cell transformation, proliferation, survival, migration, and invasion by modifying the transcription levels of key gene groups involved in metabolism. Meanwhile, the tumor-suppressing protein p53, which negatively regulates HIF1 and c-Myc, is often lost in glioblastoma. Alterations in this triad of transcriptional factors induce a metabolic shift in glioma cells that allows them to adapt and survive changes such as mutations, hypoxia, acidosis, the presence of reactive oxygen species, and nutrient deprivation, by modulating the activity and expression of signaling molecules, enzymes, metabolites, transporters, and regulators involved in glycolysis and glutamine metabolism, the pentose phosphate cycle, the tricarboxylic acid cycle, and oxidative phosphorylation, as well as the synthesis and degradation of fatty acids and nucleic acids. This review summarizes our current knowledge on the role of HIF1, c-Myc, and p53 in the genic regulatory network for metabolism in glioma cells, as well as potential therapeutic inhibitors of these factors.
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Affiliation(s)
- Cristina Trejo-Solís
- Laboratorio Experimental de Enfermedades Neurodegenerativas, Departamento de Neurofisiología, Laboratorio Clínico y Banco de Sangre y Laboratorio de Reprogramación Celular, Instituto Nacional de Neurología y Neurocirugía, Ciudad de Mexico 14269, Mexico; (N.S.-G.); (D.S.-A.); (S.Z.-V.)
| | | | - Norma Serrano-García
- Laboratorio Experimental de Enfermedades Neurodegenerativas, Departamento de Neurofisiología, Laboratorio Clínico y Banco de Sangre y Laboratorio de Reprogramación Celular, Instituto Nacional de Neurología y Neurocirugía, Ciudad de Mexico 14269, Mexico; (N.S.-G.); (D.S.-A.); (S.Z.-V.)
| | - Daniela Silva-Adaya
- Laboratorio Experimental de Enfermedades Neurodegenerativas, Departamento de Neurofisiología, Laboratorio Clínico y Banco de Sangre y Laboratorio de Reprogramación Celular, Instituto Nacional de Neurología y Neurocirugía, Ciudad de Mexico 14269, Mexico; (N.S.-G.); (D.S.-A.); (S.Z.-V.)
- Centro de Investigación Sobre el Envejecimiento, Centro de Investigación y de Estudios Avanzados (CIE-CINVESTAV), Ciudad de Mexico 14330, Mexico
| | - Salvador Vargas-Cruz
- Departamento de Cirugía, Hospital Ángeles del Pedregal, Camino a Sta. Teresa, Ciudad de Mexico 10700, Mexico;
| | | | - Juan Carlos Gallardo-Pérez
- Departamento de Fisiopatología Cardio-Renal, Departamento de Bioquímica, Instituto Nacional de Cardiología, Ciudad de Mexico 14080, Mexico;
| | - Sergio Zavala-Vega
- Laboratorio Experimental de Enfermedades Neurodegenerativas, Departamento de Neurofisiología, Laboratorio Clínico y Banco de Sangre y Laboratorio de Reprogramación Celular, Instituto Nacional de Neurología y Neurocirugía, Ciudad de Mexico 14269, Mexico; (N.S.-G.); (D.S.-A.); (S.Z.-V.)
| | - Arturo Cruz-Salgado
- Centro de Investigación Sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca 62100, Mexico;
| | - Roxana Magaña-Maldonado
- Laboratorio Experimental de Enfermedades Neurodegenerativas, Departamento de Neurofisiología, Laboratorio Clínico y Banco de Sangre y Laboratorio de Reprogramación Celular, Instituto Nacional de Neurología y Neurocirugía, Ciudad de Mexico 14269, Mexico; (N.S.-G.); (D.S.-A.); (S.Z.-V.)
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Chen W, Geng D, Chen J, Han X, Xie Q, Guo G, Chen X, Zhang W, Tang S, Zhong X. Roles and mechanisms of aberrant alternative splicing in melanoma - implications for targeted therapy and immunotherapy resistance. Cancer Cell Int 2024; 24:101. [PMID: 38462618 PMCID: PMC10926661 DOI: 10.1186/s12935-024-03280-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 02/22/2024] [Indexed: 03/12/2024] Open
Abstract
BACKGROUND Despite advances in therapeutic strategies, resistance to immunotherapy and the off-target effects of targeted therapy have significantly weakened the benefits for patients with melanoma. MAIN BODY Alternative splicing plays a crucial role in transcriptional reprogramming during melanoma development. In particular, aberrant alternative splicing is involved in the efficacy of immunotherapy, targeted therapy, and melanoma metastasis. Abnormal expression of splicing factors and variants may serve as biomarkers or therapeutic targets for the diagnosis and prognosis of melanoma. Therefore, comprehensively integrating their roles and related mechanisms is essential. This review provides the first detailed summary of the splicing process in melanoma and the changes occurring in this pathway. CONCLUSION The focus of this review is to provide strategies for developing novel diagnostic biomarkers and summarize their potential to alter resistance to targeted therapies and immunotherapy.
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Affiliation(s)
- Wanxian Chen
- Department of Plastic and Burns Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515000, P. R. China
- Plastic Surgery Research Institute, Ear Deformities Treatment Center and Cleft Lip and Palate Treatment Center, Shantou University Medical College, Shantou, China
| | - Deyi Geng
- Department of Plastic and Burns Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515000, P. R. China
- Plastic Surgery Research Institute, Ear Deformities Treatment Center and Cleft Lip and Palate Treatment Center, Shantou University Medical College, Shantou, China
| | - Jiasheng Chen
- Department of Plastic and Burns Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515000, P. R. China
- Plastic Surgery Research Institute, Ear Deformities Treatment Center and Cleft Lip and Palate Treatment Center, Shantou University Medical College, Shantou, China
| | - Xiaosha Han
- Department of Plastic and Burns Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515000, P. R. China
- Plastic Surgery Research Institute, Ear Deformities Treatment Center and Cleft Lip and Palate Treatment Center, Shantou University Medical College, Shantou, China
| | - Qihu Xie
- Department of Plastic and Burns Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515000, P. R. China
- Plastic Surgery Research Institute, Ear Deformities Treatment Center and Cleft Lip and Palate Treatment Center, Shantou University Medical College, Shantou, China
| | - Genghong Guo
- Department of Plastic and Burns Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515000, P. R. China
- Plastic Surgery Research Institute, Ear Deformities Treatment Center and Cleft Lip and Palate Treatment Center, Shantou University Medical College, Shantou, China
| | - Xuefen Chen
- Department of Plastic and Burns Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515000, P. R. China
- Plastic Surgery Research Institute, Ear Deformities Treatment Center and Cleft Lip and Palate Treatment Center, Shantou University Medical College, Shantou, China
| | - Wancong Zhang
- Department of Plastic and Burns Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515000, P. R. China
- Plastic Surgery Research Institute, Ear Deformities Treatment Center and Cleft Lip and Palate Treatment Center, Shantou University Medical College, Shantou, China
| | - Shijie Tang
- Department of Plastic and Burns Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515000, P. R. China
- Plastic Surgery Research Institute, Ear Deformities Treatment Center and Cleft Lip and Palate Treatment Center, Shantou University Medical College, Shantou, China
| | - Xiaoping Zhong
- Department of Plastic and Burns Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515000, P. R. China.
- Plastic Surgery Research Institute, Ear Deformities Treatment Center and Cleft Lip and Palate Treatment Center, Shantou University Medical College, Shantou, China.
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5
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Chakkarappan SR, Umadharshini KV, Dhamodharan S, Rose MM, Gopu G, Murugan AK, Inoue I, Munirajan AK. Super enhancer loci of EGFR regulate EGFR variant 8 through enhancer RNA and strongly associate with survival in HNSCCs. Mol Genet Genomics 2024; 299:3. [PMID: 38236481 DOI: 10.1007/s00438-023-02089-z] [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: 02/21/2023] [Accepted: 10/21/2023] [Indexed: 01/19/2024]
Abstract
Epidermal growth factor receptor (EGFR) has been shown to be overexpressed in human cancers due to mutation, amplification, and epigenetic hyperactivity, which leads to deregulated transcriptional mechanism. Among the eight different EGFR isoforms, the mechanism of regulation of full-length variant 1 is well-known, no studies have examined the function & factors regulating the expression of variant 8. This study aimed to understand the function of EGFR super-enhancer loci and its associated transcription factors regulating the expression of EGFR variant 8. Our study shows that overexpression of variant 8 and its transcription was more prevalent than variant 1 in many cancers and positively correlated with the EGFR-AS1 expression in oral cancer and HNSCC. Notably, individuals overexpressing variant 8 showed shorter overall survival and had a greater connection with other clinical traits than patients with overexpression of variant 1. In this study, TCGA enhancer RNA profiling on the constituent enhancer (CE1 and CE2) region revealed that the multiple enhancer RNAs formed from CE2 by employing CE1 as a promoter. Our bioinformatic analysis further supports the enrichment of enhancer RNA specific chromatin marks H3K27ac, H3K4me1, POL2 and H2AZ on CE2. GeneHancer and 3D chromatin capture analysis showed clustered interactions between CE1, CE2 loci and this interaction may regulates expression of both EGFR-eRNA and variant 8. Moreover, increased expression of SNAI2 and its close relationship to EGFR-AS1 and variant 8 suggest that SNAI2 could regulates variant 8 overexpression by building a MegaTrans complex with both EGFR-eRNA and EGFR-AS1. Our findings show that EGFR variant 8 and its transcriptional regulation & chromatin modification by eRNAs may provide a rationale for targeting RNA splicing in combination with targeted EGFR therapies in cancer.
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Affiliation(s)
- Sundaram Reddy Chakkarappan
- Department of Health Research, Multi Disciplinary Research Unit (DHR-MRU), Dr. ALM PG Institute of Basic Medical Sciences, University of Madras, Taramani Campus, Chennai, 600 113, India
| | | | - Shankar Dhamodharan
- Department of Genetics, Dr. ALM PG Institute of Basic Medical Sciences, University of Madras, Taramani Campus, Chennai, 600 113, India
| | - Mathew Maria Rose
- Department of Genetics, Dr. ALM PG Institute of Basic Medical Sciences, University of Madras, Taramani Campus, Chennai, 600 113, India
| | - Govindasamy Gopu
- Department of Surgical Oncology, Rajiv Gandhi Government General Hospital, Madras Medical College, Chennai, 600003, India
| | - Avaniyapuram Kannan Murugan
- Department of Molecular Oncology, King Faisal Specialist Hospital and Research Centre, 11211, Riyadh, Saudi Arabia
| | - Ituro Inoue
- Human Genetics Laboratory, National Institute of Genetics, Mishima, 411-8540, Japan
| | - Arasambattu Kannan Munirajan
- Department of Health Research, Multi Disciplinary Research Unit (DHR-MRU), Dr. ALM PG Institute of Basic Medical Sciences, University of Madras, Taramani Campus, Chennai, 600 113, India.
- Department of Genetics, Dr. ALM PG Institute of Basic Medical Sciences, University of Madras, Taramani Campus, Chennai, 600 113, India.
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Zarzuela L, Durán RV, Tomé M. Metabolism and signaling crosstalk in glioblastoma progression and therapy resistance. Mol Oncol 2023. [PMID: 38105543 DOI: 10.1002/1878-0261.13571] [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: 08/07/2023] [Revised: 11/09/2023] [Accepted: 12/15/2023] [Indexed: 12/19/2023] Open
Abstract
Glioblastoma is the most common form of primary malignant brain tumor in adults and one of the most lethal human cancers, with high recurrence and therapy resistance. Glioblastoma cells display extensive genetic and cellular heterogeneity, which precludes a unique and common therapeutic approach. The standard of care in glioblastoma patients includes surgery followed by radiotherapy plus concomitant temozolomide. As in many other cancers, cell signaling is deeply affected due to mutations or alterations in the so-called molecular drivers. Moreover, glioblastoma cells undergo metabolic adaptations to meet the new demands in terms of energy and building blocks, with an increasing amount of evidence connecting metabolic transformation and cell signaling deregulation in this type of aggressive brain tumor. In this review, we summarize some of the most common alterations both in cell signaling and metabolism in glioblastoma, presenting an integrative discussion about how they contribute to therapy resistance. Furthermore, this review aims at providing a comprehensive overview of the state-of-the-art of therapeutic approaches and clinical trials exploiting signaling and metabolism in glioblastoma.
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Affiliation(s)
- Laura Zarzuela
- Centro Andaluz de Biología Molecular y Medicina Regenerativa - CABIMER, Consejo Superior de Investigaciones Científicas, Universidad de Sevilla, Universidad Pablo de Olavide, Seville, Spain
| | - Raúl V Durán
- Centro Andaluz de Biología Molecular y Medicina Regenerativa - CABIMER, Consejo Superior de Investigaciones Científicas, Universidad de Sevilla, Universidad Pablo de Olavide, Seville, Spain
| | - Mercedes Tomé
- Centro Andaluz de Biología Molecular y Medicina Regenerativa - CABIMER, Consejo Superior de Investigaciones Científicas, Universidad de Sevilla, Universidad Pablo de Olavide, Seville, Spain
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Long S, Yan Y, Xu H, Wang L, Jiang J, Xu Z, Liu R, Zhou Q, Huang X, Chen J, Li Z, Wei W, Li X. Insights into the regulatory role of RNA methylation modifications in glioma. J Transl Med 2023; 21:810. [PMID: 37964279 PMCID: PMC10644640 DOI: 10.1186/s12967-023-04653-y] [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: 07/19/2023] [Accepted: 10/24/2023] [Indexed: 11/16/2023] Open
Abstract
Epitranscriptomic abnormalities, which are highly prevalent in primary central nervous system malignancies, have been identified as crucial contributors to the development and progression of gliomas. RNA epitranscriptomic modifications, particularly the reversible modification methylation, have been observed throughout the RNA cycle. Epitranscriptomic modifications, which regulate RNA transcription and translation, have profound biological implications. These modifications are associated with the development of several cancer types. Notably, three main protein types-writers, erasers, and readers, in conjunction with other related proteins, mediate these epitranscriptomic changes. This review primarily focuses on the role of recently identified RNA methylation modifications in gliomas, such as N6-methyladenosine (m6A), 5-methylcytosine (m5C), N7-methylguanosine (m7G), and N1-methyladenosine (m1A). We delved into their corresponding writers, erasers, readers, and related binding proteins to propose new approaches and prognostic indicators for patients with glioma.
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Affiliation(s)
- Shengrong Long
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Yu Yan
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Hongyu Xu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Lesheng Wang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Jiazhi Jiang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Ziyue Xu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Runming Liu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Qiangqiang Zhou
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Xiaopeng Huang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Jincao Chen
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Zhiqiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Wei Wei
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
| | - Xiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
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8
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Bailleul J, Vlashi E. Glioblastomas: Hijacking Metabolism to Build a Flexible Shield for Therapy Resistance. Antioxid Redox Signal 2023; 39:957-979. [PMID: 37022791 PMCID: PMC10655009 DOI: 10.1089/ars.2022.0088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 02/01/2023] [Accepted: 02/20/2023] [Indexed: 02/25/2023]
Abstract
Significance: Glioblastomas (GBMs) are among the most lethal tumors despite the almost exclusive localization to the brain. This is largely due to therapeutic resistance. Radiation and chemotherapy significantly increase the survival for GBM patients, however, GBMs always recur, and the median overall survival is just over a year. Proposed reasons for such intractable resistance to therapy are numerous and include tumor metabolism, in particular, the ability of tumor cells to reconfigure metabolic fluxes on demand (metabolic plasticity). Understanding how the hard-wired, oncogene-driven metabolic tendencies of GBMs intersect with flexible, context-induced metabolic rewiring promises to reveal novel approaches for combating therapy resistance. Recent Advances: Personalized genome-scale metabolic flux models have recently provided evidence that metabolic flexibility promotes radiation resistance in cancer and identified tumor redox metabolism as a major predictor for resistance to radiation therapy (RT). It was demonstrated that radioresistant tumors, including GBM, reroute metabolic fluxes to boost the levels of reducing factors of the cell, thus enhancing clearance of reactive oxygen species that are generated during RT and promoting survival. Critical Issues: The current body of knowledge from published studies strongly supports the notion that robust metabolic plasticity can act as a (flexible) shield against the cytotoxic effects of standard GBM therapies, thus driving therapy resistance. The limited understanding of the critical drivers of such metabolic plasticity hampers the rational design of effective combination therapies. Future Directions: Identifying and targeting regulators of metabolic plasticity, rather than specific metabolic pathways, in combination with standard-of-care treatments have the potential to improve therapeutic outcomes in GBM. Antioxid. Redox Signal. 39, 957-979.
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Affiliation(s)
- Justine Bailleul
- Department of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Erina Vlashi
- Department of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, California, USA
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9
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Masui K, Mischel PS. Metabolic and epigenetic reprogramming in the pathogenesis of glioblastoma: Toward the establishment of "metabolism-based pathology". Pathol Int 2023; 73:533-541. [PMID: 37755062 DOI: 10.1111/pin.13379] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 09/03/2023] [Indexed: 09/28/2023]
Abstract
Molecular genetic approaches are now mandatory for cancer diagnostics, especially for brain tumors. Genotype-based diagnosis has predominated over the phenotype-based approach, with its prognostic and predictive powers. However, comprehensive genetic testing would be difficult to perform in the clinical setting, and translational research is required to histologically decipher the peculiar biology of cancer. Of interest, recent studies have demonstrated discrete links between oncogenotypes and the resultant metabolic phenotypes, revealing cancer metabolism as a promising histologic surrogate to reveal specific characteristics of each cancer type and indicate the best way to manage cancer patients. Here, we provide an overview of our research progress to work on cancer metabolism, with a particular focus on the genomically well-characterized malignant tumor glioblastoma. With the use of clinically relevant animal models and human tissue, we found that metabolic reprogramming plays a major role in the aggressive cancer biology by conferring therapeutic resistance to cancer cells and rewiring their epigenomic landscapes. We further discuss our future endeavor to establish "metabolism-based pathology" on how the basic knowledge of cancer metabolism could be leveraged to improve the management of patients by linking cancer cell genotype, epigenotype, and phenotype through metabolic reprogramming.
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Affiliation(s)
- Kenta Masui
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, Japan
| | - Paul S Mischel
- Department of Pathology, Stanford University, Stanford, California, USA
- Department of Neurosurgery, Stanford University, Stanford, California, USA
- Sarafan ChEM-H, Stanford University, Stanford, California, USA
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10
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Miller DM, Yadanapudi K, Rai V, Rai SN, Chen J, Frieboes HB, Masters A, McCallum A, Williams BJ. Untangling the web of glioblastoma treatment resistance using a multi-omic and multidisciplinary approach. Am J Med Sci 2023; 366:185-198. [PMID: 37330006 DOI: 10.1016/j.amjms.2023.06.010] [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: 12/15/2022] [Revised: 05/01/2023] [Accepted: 06/13/2023] [Indexed: 06/19/2023]
Abstract
Glioblastoma (GBM), the most common human brain tumor, has been notoriously resistant to treatment. As a result, the dismal overall survival of GBM patients has not changed over the past three decades. GBM has been stubbornly resistant to checkpoint inhibitor immunotherapies, which have been remarkably effective in the treatment of other tumors. It is clear that GBM resistance to therapy is multifactorial. Although therapeutic transport into brain tumors is inhibited by the blood brain barrier, there is evolving evidence that overcoming this barrier is not the predominant factor. GBMs generally have a low mutation burden, exist in an immunosuppressed environment and they are inherently resistant to immune stimulation, all of which contribute to treatment resistance. In this review, we evaluate the contribution of multi-omic approaches (genomic and metabolomic) along with analyzing immune cell populations and tumor biophysical characteristics to better understand and overcome GBM multifactorial resistance to treatment.
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Affiliation(s)
- Donald M Miller
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Department of Medicine, School of Medicine, University of Louisville, Louisville, KY, USA.
| | - Kavitha Yadanapudi
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Department of Medicine, School of Medicine, University of Louisville, Louisville, KY, USA
| | - Veeresh Rai
- Brown Cancer Center, University of Louisville, Louisville, KY, USA
| | - Shesh N Rai
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Biostatistics and Informatics Shared Resources, University of Cincinnati Cancer Center, Cincinnati, OH, USA; Cancer Data Science Center of University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Joseph Chen
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Department of Bioengineering, Speed School of Engineering, University of Louisville, Louisville, KY, USA
| | - Hermann B Frieboes
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Department of Bioengineering, Speed School of Engineering, University of Louisville, Louisville, KY, USA; Center for Preventative Medicine, University of Louisville, Louisville, KY, USA
| | - Adrianna Masters
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Department of Radiation Oncology, University of Louisville, Louisville, KY, USA
| | - Abigail McCallum
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Department of Neurosurgery, University of Louisville, Louisville, KY, USA
| | - Brian J Williams
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Department of Neurosurgery, University of Louisville, Louisville, KY, USA
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11
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Nafe R, Hattingen E. The Spectrum of Molecular Pathways in Gliomas-An Up-to-Date Review. Biomedicines 2023; 11:2281. [PMID: 37626776 PMCID: PMC10452344 DOI: 10.3390/biomedicines11082281] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/02/2023] [Accepted: 08/04/2023] [Indexed: 08/27/2023] Open
Abstract
During the last 20 years, molecular alterations have gained increasing significance in the diagnosis and biological assessment of tumors. Gliomas represent the largest group of tumors of the central nervous system, and the main aim of this review is to present the current knowledge on molecular pathways and their alterations in gliomas. A wide range of new insights has been gained, including evidence for the involvement of the WNT pathway or the hippo pathway in the pathobiology of gliomas, indicating a broad involvement of different pathways formerly not considered to play a central role in gliomas. Even new aspects of angiogenic, apoptotic, and metabolic pathways are presented, as well as the rapidly growing field of epigenetic processes, including non-coding RNAs. The two major conclusions drawn from the present review are the distinct interconnectivity of the whole spectrum of molecular pathways and the prominent role of non-coding RNAs, especially circular RNAs, in the regulation of specific targets. All these new insights are discussed, even considering the topic of the resistance to therapy of gliomas, along with aspects that are still incompletely understood, like the role of hydroxymethylation, or even ferroptosis, in the pathobiology of gliomas.
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Affiliation(s)
- Reinhold Nafe
- Department of Neuroradiology, Clinics of Johann Wolfgang Goethe-University, Schleusenweg 2-16, D-60528 Frankfurt am Main, Germany;
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12
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Wojtyś W, Oroń M. How Driver Oncogenes Shape and Are Shaped by Alternative Splicing Mechanisms in Tumors. Cancers (Basel) 2023; 15:cancers15112918. [PMID: 37296881 DOI: 10.3390/cancers15112918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 05/20/2023] [Accepted: 05/24/2023] [Indexed: 06/12/2023] Open
Abstract
The development of RNA sequencing methods has allowed us to study and better understand the landscape of aberrant pre-mRNA splicing in tumors. Altered splicing patterns are observed in many different tumors and affect all hallmarks of cancer: growth signal independence, avoidance of apoptosis, unlimited proliferation, invasiveness, angiogenesis, and metabolism. In this review, we focus on the interplay between driver oncogenes and alternative splicing in cancer. On one hand, oncogenic proteins-mutant p53, CMYC, KRAS, or PI3K-modify the alternative splicing landscape by regulating expression, phosphorylation, and interaction of splicing factors with spliceosome components. Some splicing factors-SRSF1 and hnRNPA1-are also driver oncogenes. At the same time, aberrant splicing activates key oncogenes and oncogenic pathways: p53 oncogenic isoforms, the RAS-RAF-MAPK pathway, the PI3K-mTOR pathway, the EGF and FGF receptor families, and SRSF1 splicing factor. The ultimate goal of cancer research is a better diagnosis and treatment of cancer patients. In the final part of this review, we discuss present therapeutic opportunities and possible directions of further studies aiming to design therapies targeting alternative splicing mechanisms in the context of driver oncogenes.
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Affiliation(s)
- Weronika Wojtyś
- Laboratory of Human Disease Multiomics, Mossakowski Medical Research Institute, Polish Academy of Sciences, Pawinskiego 5, 02-106 Warsaw, Poland
| | - Magdalena Oroń
- Laboratory of Human Disease Multiomics, Mossakowski Medical Research Institute, Polish Academy of Sciences, Pawinskiego 5, 02-106 Warsaw, Poland
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13
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Valle-Mendiola A, Gutiérrez-Hoya A, Soto-Cruz I. JAK/STAT Signaling and Cervical Cancer: From the Cell Surface to the Nucleus. Genes (Basel) 2023; 14:1141. [PMID: 37372319 DOI: 10.3390/genes14061141] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 05/13/2023] [Accepted: 05/22/2023] [Indexed: 06/29/2023] Open
Abstract
The Janus kinase (JAK)/signal transducer and activator of transcription (STAT) signaling pathway constitutes a rapid signaling module from the cell surface to the nucleus, and activates different cellular responses, such as proliferation, survival, migration, invasion, and inflammation. When the JAK/STAT pathway is altered, it contributes to cancer progression and metastasis. STAT proteins play a central role in developing cervical cancer, and inhibiting the JAK/STAT signaling may be necessary to induce tumor cell death. Several cancers show continuous activation of different STATs, including cervical cancer. The constitutive activation of STAT proteins is associated with a poor prognosis and overall survival. The human papillomavirus (HPV) oncoproteins E6 and E7 play an essential role in cervical cancer progression, and they activate the JAK/STAT pathway and other signals that induce proliferation, survival, and migration of cancer cells. Moreover, there is a crosstalk between the JAK/STAT signaling cascade with other signaling pathways, where a plethora of different proteins activate to induce gene transcription and cell responses that contribute to tumor growth. Therefore, inhibition of the JAK/STAT pathway shows promise as a new target in cancer treatment. In this review, we discuss the role of the JAK/STAT pathway components and the role of the HPV oncoproteins associated with cellular malignancy through the JAK/STAT proteins and other signaling pathways to induce tumor growth.
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Affiliation(s)
- Arturo Valle-Mendiola
- Molecular Oncology Laboratory, Cell Differentiation and Cancer Research Unit, FES Zaragoza, National University of Mexico, Batalla 5 de Mayo s/n, Colonia Ejército de Oriente, Mexico City 09230, Mexico
| | - Adriana Gutiérrez-Hoya
- Molecular Oncology Laboratory, Cell Differentiation and Cancer Research Unit, FES Zaragoza, National University of Mexico, Batalla 5 de Mayo s/n, Colonia Ejército de Oriente, Mexico City 09230, Mexico
- Cátedra CONACYT, FES Zaragoza, National University of Mexico, Mexico City 09230, Mexico
| | - Isabel Soto-Cruz
- Molecular Oncology Laboratory, Cell Differentiation and Cancer Research Unit, FES Zaragoza, National University of Mexico, Batalla 5 de Mayo s/n, Colonia Ejército de Oriente, Mexico City 09230, Mexico
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14
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Park JW. Metabolic Rewiring in Adult-Type Diffuse Gliomas. Int J Mol Sci 2023; 24:ijms24087348. [PMID: 37108511 PMCID: PMC10138713 DOI: 10.3390/ijms24087348] [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: 03/15/2023] [Revised: 04/10/2023] [Accepted: 04/14/2023] [Indexed: 04/29/2023] Open
Abstract
Multiple metabolic pathways are utilized to maintain cellular homeostasis. Given the evidence that altered cell metabolism significantly contributes to glioma biology, the current research efforts aim to improve our understanding of metabolic rewiring between glioma's complex genotype and tissue context. In addition, extensive molecular profiling has revealed activated oncogenes and inactivated tumor suppressors that directly or indirectly impact the cellular metabolism that is associated with the pathogenesis of gliomas. The mutation status of isocitrate dehydrogenases (IDHs) is one of the most important prognostic factors in adult-type diffuse gliomas. This review presents an overview of the metabolic alterations in IDH-mutant gliomas and IDH-wildtype glioblastoma (GBM). A particular focus is placed on targeting metabolic vulnerabilities to identify new therapeutic strategies for glioma.
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Affiliation(s)
- Jong-Whi Park
- Department of Life Sciences, College of BioNano Technology, Gachon University, Seongnam 13120, Republic of Korea
- Department of Health Sciences and Technology, GAIHST, Gachon University, Incheon 21999, Republic of Korea
- Neuroscience Research Institute, Gachon University, Incheon 21565, Republic of Korea
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15
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The "Superoncogene" Myc at the Crossroad between Metabolism and Gene Expression in Glioblastoma Multiforme. Int J Mol Sci 2023; 24:ijms24044217. [PMID: 36835628 PMCID: PMC9966483 DOI: 10.3390/ijms24044217] [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: 12/30/2022] [Revised: 02/10/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
The concept of the Myc (c-myc, n-myc, l-myc) oncogene as a canonical, DNA-bound transcription factor has consistently changed over the past few years. Indeed, Myc controls gene expression programs at multiple levels: directly binding chromatin and recruiting transcriptional coregulators; modulating the activity of RNA polymerases (RNAPs); and drawing chromatin topology. Therefore, it is evident that Myc deregulation in cancer is a dramatic event. Glioblastoma multiforme (GBM) is the most lethal, still incurable, brain cancer in adults, and it is characterized in most cases by Myc deregulation. Metabolic rewiring typically occurs in cancer cells, and GBM undergoes profound metabolic changes to supply increased energy demand. In nontransformed cells, Myc tightly controls metabolic pathways to maintain cellular homeostasis. Consistently, in Myc-overexpressing cancer cells, including GBM cells, these highly controlled metabolic routes are affected by enhanced Myc activity and show substantial alterations. On the other hand, deregulated cancer metabolism impacts Myc expression and function, placing Myc at the intersection between metabolic pathway activation and gene expression. In this review paper, we summarize the available information on GBM metabolism with a specific focus on the control of the Myc oncogene that, in turn, rules the activation of metabolic signals, ensuring GBM growth.
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16
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Li P, Wang Y, Sun Y, Jiang S, Li J. N 6-methyladenosine RNA methylation: From regulatory mechanisms to potential clinical applications. Front Cell Dev Biol 2022; 10:1055808. [PMID: 36407103 PMCID: PMC9669580 DOI: 10.3389/fcell.2022.1055808] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 10/24/2022] [Indexed: 10/20/2023] Open
Abstract
Epitranscriptomics has emerged as another level of epigenetic regulation similar to DNA and histone modifications. N 6-methyladenosine (m6A) is one of the most prevalent and abundant posttranscriptional modifications, widely distributed in many biological species. The level of N 6-methyladenosine RNA methylation is dynamically and reversibly regulated by distinct effectors including methyltransferases, demethylases, histone modification and metabolites. In addition, N 6-methyladenosine RNA methylation is involved in multiple RNA metabolism pathways, such as splicing, localization, translation efficiency, stability and degradation, ultimately affecting various pathological processes, especially the oncogenic and tumor-suppressing activities. Recent studies also reveal that N 6-methyladenosine modification exerts the function in immune cells and tumor immunity. In this review, we mainly focus on the regulatory mechanisms of N 6-methyladenosine RNA methylation, the techniques for detecting N 6-methyladenosine methylation, the role of N 6-methyladenosine modification in cancer and other diseases, and the potential clinical applications.
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Affiliation(s)
- Peipei Li
- Department of Oncology, Weifang Medical University, Weifang, China
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Yuntao Wang
- Department of Oncology, Weifang Medical University, Weifang, China
| | - Yiwen Sun
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | | | - Jingjing Li
- Department of Oncology, Weifang Medical University, Weifang, China
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17
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Feng J, Zhou J, Lin Y, Huang W. hnRNP A1 in RNA metabolism regulation and as a potential therapeutic target. Front Pharmacol 2022; 13:986409. [PMID: 36339596 PMCID: PMC9634572 DOI: 10.3389/fphar.2022.986409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 10/10/2022] [Indexed: 11/22/2022] Open
Abstract
Abnormal RNA metabolism, regulated by various RNA binding proteins, can have functional consequences for multiple diseases. Heterogeneous nuclear ribonucleoprotein A1 (hnRNP A1) is an important RNA binding protein, that regulates various RNA metabolic processes, including transcription, alternative splicing of pre-mRNA, translation, miRNA processing and mRNA stability. As a potent splicing factor, hnRNP A1 can regulate multiple splicing events, including itself, collaborating with other cooperative or antagonistical splicing factors by binding to splicing sites and regulatory elements in exons or introns. hnRNP A1 can modulate gene transcription by directly interacting with promoters or indirectly impacting Pol II activities. Moreover, by interacting with the internal ribosome entry site (IRES) or 3′-UTR of mRNAs, hnRNP A1 can affect mRNA translation. hnRNP A1 can alter the stability of mRNAs by binding to specific locations of 3′-UTR, miRNAs biogenesis and Nonsense-mediated mRNA decay (NMD) pathway. In this review, we conclude the selective sites where hnRNP A1 binds to RNA and DNA, and the co-regulatory factors that interact with hnRNP A1. Given the dysregulation of hnRNP A1 in diverse diseases, especially in cancers and neurodegeneration diseases, targeting hnRNP A1 for therapeutic treatment is extremely promising. Therefore, this review also provides the small-molecule drugs, biomedicines and novel strategies targeting hnRNP A1 for therapeutic purposes.
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18
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Kuo YH, Hung HS, Tsai CW, Chiu SC, Liu SP, Chiang YT, Shyu WC, Lin SZ, Fu RH. A Novel Splice Variant of BCAS1 Inhibits β-Arrestin 2 to Promote the Proliferation and Migration of Glioblastoma Cells, and This Effect Was Blocked by Maackiain. Cancers (Basel) 2022; 14:cancers14163890. [PMID: 36010884 PMCID: PMC9405932 DOI: 10.3390/cancers14163890] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 07/31/2022] [Accepted: 08/08/2022] [Indexed: 11/16/2022] Open
Abstract
Brain-enriched myelin-associated protein 1 (BCAS1) is frequently highly expressed in human cancer, but its detailed function is unclear. Here, we identified a novel splice variant of the BCAS1 gene in glioblastoma multiforme (GBM) named BCAS1-SV1. The expression of BCAS1-SV1 was weak in heathy brain cells but high in GBM cell lines. The overexpression of BCAS1-SV1 significantly increased the proliferation and migration of GBM cells, whereas the RNA-interference-mediated knockdown of BCAS1-SV1 reduced proliferation and migration. Moreover, using a yeast-two hybrid assay, immunoprecipitation, and immunofluorescence staining, we confirmed that β-arrestin 2 is an interaction partner of BCAS1-SV1 but not BCAS1. The downregulation of β-arrestin 2 directly enhanced the malignancy of GBM and abrogated the effects of BCAS1-SV1 on GBM cells. Finally, we used a yeast two-hybrid-based growth assay to identify that maackiain (MK) is a potential inhibitor of the interaction between BCAS1-SV1 and β-arrestin 2. MK treatment lessened the proliferation and migration of GBM cells and prolonged the lifespan of tumor-bearing mice in subcutaneous xenograft and intracranial U87-luc xenograft models. This study provides the first evidence that the gain-of-function BCAS1-SV1 splice variant promotes the development of GBM by suppressing the β-arrestin 2 pathway and opens up a new therapeutic perspective in GBM.
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Affiliation(s)
- Yun-Hua Kuo
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan
| | - Huey-Shan Hung
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan
- Translational Medicine Research Center, China Medical University Hospital, Taichung 40447, Taiwan
| | - Chia-Wen Tsai
- Department of Nutrition, China Medical University, Taichung 40402, Taiwan
| | - Shao-Chih Chiu
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan
| | - Shih-Ping Liu
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan
- Translational Medicine Research Center, China Medical University Hospital, Taichung 40447, Taiwan
| | - Yu-Ting Chiang
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan
| | - Woei-Cherng Shyu
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan
- Translational Medicine Research Center, China Medical University Hospital, Taichung 40447, Taiwan
| | - Shinn-Zong Lin
- Buddhist Tzu Chi Bioinnovation Center, Tzu Chi Foundation, Hualien 970, Taiwan
- Department of Neurosurgery, Buddhist Tzu Chi General Hospital, Hualien 970, Taiwan
| | - Ru-Huei Fu
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan
- Translational Medicine Research Center, China Medical University Hospital, Taichung 40447, Taiwan
- Correspondence: ; Tel.: +886-422052121-7826
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Schwark K, Messinger D, Cummings JR, Bradin J, Kawakibi A, Babila CM, Lyons S, Ji S, Cartaxo RT, Kong S, Cantor E, Koschmann C, Yadav VN. Receptor tyrosine kinase (RTK) targeting in pediatric high-grade glioma and diffuse midline glioma: Pre-clinical models and precision medicine. Front Oncol 2022; 12:922928. [PMID: 35978801 PMCID: PMC9376238 DOI: 10.3389/fonc.2022.922928] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 07/04/2022] [Indexed: 11/13/2022] Open
Abstract
Pediatric high-grade glioma (pHGG), including both diffuse midline glioma (DMG) and non-midline tumors, continues to be one of the deadliest oncologic diagnoses (both henceforth referred to as “pHGG”). Targeted therapy options aimed at key oncogenic receptor tyrosine kinase (RTK) drivers using small-molecule RTK inhibitors has been extensively studied, but the absence of proper in vivo modeling that recapitulate pHGG biology has historically been a research challenge. Thankfully, there have been many recent advances in animal modeling, including Cre-inducible transgenic models, as well as intra-uterine electroporation (IUE) models, which closely recapitulate the salient features of human pHGG tumors. Over 20% of pHGG have been found in sequencing studies to have alterations in platelet derived growth factor-alpha (PDGFRA), making growth factor modeling and inhibition via targeted tyrosine kinases a rich vein of interest. With commonly found alterations in other growth factors, including FGFR, EGFR, VEGFR as well as RET, MET, and ALK, it is necessary to model those receptors, as well. Here we review the recent advances in murine modeling and precision targeting of the most important RTKs in their clinical context. We additionally provide a review of current work in the field with several small molecule RTK inhibitors used in pre-clinical or clinical settings for treatment of pHGG.
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Affiliation(s)
- Kallen Schwark
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Dana Messinger
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Jessica R. Cummings
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Joshua Bradin
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Abed Kawakibi
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Clarissa M. Babila
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Samantha Lyons
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Sunjong Ji
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Rodrigo T. Cartaxo
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Seongbae Kong
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Evan Cantor
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Carl Koschmann
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Viveka Nand Yadav
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan School of Medicine, Ann Arbor, MI, United States
- Department of Pediatrics, Children's Mercy Research Institute (CMRI), Kansas, MO, United States
- Department of Pediatrics, University of Missouri Kansas City School of Medicine, Kansas, MO, United States
- *Correspondence: Viveka Nand Yadav,
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20
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Tyagi A, Wu SY, Watabe K. Metabolism in the progression and metastasis of brain tumors. Cancer Lett 2022; 539:215713. [PMID: 35513201 PMCID: PMC9999298 DOI: 10.1016/j.canlet.2022.215713] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Revised: 04/21/2022] [Accepted: 04/22/2022] [Indexed: 01/30/2023]
Abstract
Malignant brain tumors and metastases pose significant health problems and cause substantial morbidity and mortality in children and adults. Based on epidemiological evidence, gliomas comprise 30% and 80% of primary brain tumors and malignant tumors, respectively. Brain metastases affect 15-30% of cancer patients, particularly primary tumors of the lung, breast, colon, and kidney, and melanoma. Despite advancements in multimodal molecular targeted therapy and immunotherapy that do not ensure long-term treatment, malignant brain tumors and metastases contribute significantly to cancer related mortality. Recent studies have shown that metastatic cancer cells possess distinct metabolic traits to adapt and survive in new environment that differs significantly from the primary site in both nutrient composition and availability. As metabolic regulation lies at the intersection of many research areas, concerted efforts to understand the metabolic mechanism(s) driving malignant brain tumors and metastases may reveal novel therapeutic targets to prevent or reduce metastasis and predict biomarkers for the treatment of this aggressive disease. This review focuses on various aspects of metabolic signaling, interface between metabolic regulators and cellular processes, and implications of their dysregulation in the context of brain tumors and metastases.
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Affiliation(s)
- Abhishek Tyagi
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
| | - Shih-Ying Wu
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
| | - Kounosuke Watabe
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
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21
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El Khayari A, Bouchmaa N, Taib B, Wei Z, Zeng A, El Fatimy R. Metabolic Rewiring in Glioblastoma Cancer: EGFR, IDH and Beyond. Front Oncol 2022; 12:901951. [PMID: 35912242 PMCID: PMC9329787 DOI: 10.3389/fonc.2022.901951] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 06/21/2022] [Indexed: 12/12/2022] Open
Abstract
Glioblastoma multiforme (GBM), a highly invasive and incurable tumor, is the humans’ foremost, commonest, and deadliest brain cancer. As in other cancers, distinct combinations of genetic alterations (GA) in GBM induce a diversity of metabolic phenotypes resulting in enhanced malignancy and altered sensitivity to current therapies. Furthermore, GA as a hallmark of cancer, dysregulated cell metabolism in GBM has been recently linked to the acquired GA. Indeed, Numerous point mutations and copy number variations have been shown to drive glioma cells’ metabolic state, affecting tumor growth and patient outcomes. Among the most common, IDH mutations, EGFR amplification, mutation, PTEN loss, and MGMT promoter mutation have emerged as key patterns associated with upregulated glycolysis and OXPHOS glutamine addiction and altered lipid metabolism in GBM. Therefore, current Advances in cancer genetic and metabolic profiling have yielded mechanistic insights into the metabolism rewiring of GBM and provided potential avenues for improved therapeutic modalities. Accordingly, actionable metabolic dependencies are currently used to design new treatments for patients with glioblastoma. Herein, we capture the current knowledge of genetic alterations in GBM, provide a detailed understanding of the alterations in metabolic pathways, and discuss their relevance in GBM therapy.
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Affiliation(s)
- Abdellatif El Khayari
- Institute of Biological Sciences (ISSB-P), Mohammed VI Polytechnic University (UM6P), Ben-Guerir, Morocco
| | - Najat Bouchmaa
- Institute of Biological Sciences (ISSB-P), Mohammed VI Polytechnic University (UM6P), Ben-Guerir, Morocco
| | - Bouchra Taib
- Institute of Sport Professions (IMS), Ibn Tofail University, Avenida de l’Université, Kenitra, Morocco
- Research Unit on Metabolism, Physiology and Nutrition, Department of Biology, Faculty of Science, Ibn Tofail University, Kenitra, Morocco
| | - Zhiyun Wei
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ailiang Zeng
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Rachid El Fatimy
- Institute of Biological Sciences (ISSB-P), Mohammed VI Polytechnic University (UM6P), Ben-Guerir, Morocco
- *Correspondence: Rachid El Fatimy,
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22
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Yang G, Shan D, Zhao R, Li G. Metabolism-Associated DNA Methylation Signature Stratifies Lower-Grade Glioma Patients and Predicts Response to Immunotherapy. Front Cell Dev Biol 2022; 10:902298. [PMID: 35784470 PMCID: PMC9240391 DOI: 10.3389/fcell.2022.902298] [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: 03/23/2022] [Accepted: 05/23/2022] [Indexed: 11/24/2022] Open
Abstract
Metabolism and DNA methylation (DNAm) are closely linked. The value of the metabolism-DNAm interplay in stratifying glioma patients has not been explored. In the present study, we aimed to stratify lower-grade glioma (LGG) patients based on the DNAm associated with metabolic reprogramming. Four data sets of LGGs from three databases (TCGA/CGGA/GEO) were used in this study. By screening the Kendall’s correlation of DNAm with 87 metabolic processes from KEGG, we identified 391 CpGs with a strong correlation with metabolism. Based on these metabolism-associated CpGs, we performed consensus clustering and identified three distinct subgroups of LGGs. These three subgroups were characterized by distinct molecular features and clinical outcomes. We also constructed a subgroup-related, quantifiable CpG signature with strong prognostic power to stratify LGGs. It also serves as a potential biomarker to predict the response to immunotherapy. Overall, our findings provide new perspectives for the stratification of LGGs and for understanding the mechanisms driving malignancy.
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Affiliation(s)
- Guozheng Yang
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Dezhi Shan
- Department of Neurosurgery, Beijing Hospital, Chinese Academy of Medical Sciences, Graduate School of Peking Union Medical College, Beijing, China
| | - Rongrong Zhao
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
- Shandong Key Laboratory of Brain Function Remodeling, Jinan, China
| | - Gang Li
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
- Shandong Key Laboratory of Brain Function Remodeling, Jinan, China
- *Correspondence: Gang Li,
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23
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Markouli M, Strepkos D, Papavassiliou KA, Papavassiliou AG, Piperi C. Crosstalk of Epigenetic and Metabolic Signaling Underpinning Glioblastoma Pathogenesis. Cancers (Basel) 2022; 14:cancers14112655. [PMID: 35681635 PMCID: PMC9179868 DOI: 10.3390/cancers14112655] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/14/2022] [Accepted: 05/24/2022] [Indexed: 02/06/2023] Open
Abstract
Simple Summary Epigenetic mechanisms can modulate key genes involved in the cellular metabolism of glioblastomas and participate in their pathogenesis by increasing their heterogeneity, plasticity, and malignancy. Although most epigenetic modifications can primarily promote the activity of metabolic pathways, they may also exert an inhibitory role. The detection of key metabolic alterations in gliomas regulated by epigenetic mechanisms will enable drug development and effective molecular targeting, improvement of therapeutic schemes, and patients’ management. Abstract Metabolic alterations in neoplastic cells have recently gained increasing attention as a main topic of research, playing a crucial regulatory role in the development and progression of tumors. The interplay between epigenetic modifications and metabolic pathways in glioblastoma cells has emerged as a key pathogenic area with great potential for targeted therapy. Epigenetic mechanisms have been demonstrated to affect main metabolic pathways, such as glycolysis, pentose phosphate pathway, gluconeogenesis, oxidative phosphorylation, TCA cycle, lipid, and glutamine metabolism by modifying key regulatory genes. Although epigenetic modifications can primarily promote the activity of metabolic pathways, they may also exert an inhibitory role. In this way, they participate in a complex network of interactions that regulate the metabolic behavior of malignant cells, increasing their heterogeneity and plasticity. Herein, we discuss the main epigenetic mechanisms that regulate the metabolic pathways in glioblastoma cells and highlight their targeting potential against tumor progression.
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Masui K, Cavenee WK, Mischel PS, Shibata N. The metabolomic landscape plays a critical role in glioma oncogenesis. Cancer Sci 2022; 113:1555-1563. [PMID: 35271755 PMCID: PMC9128185 DOI: 10.1111/cas.15325] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 02/24/2022] [Accepted: 03/04/2022] [Indexed: 12/01/2022] Open
Abstract
Cancer cells depend on metabolic reprogramming for survival, undergoing profound shifts in nutrient sensing, nutrient uptake and flux through anabolic pathways, in order to drive nucleotide, lipid, and protein synthesis and provide key intermediates needed for those pathways. Although metabolic enzymes themselves can be mutated, including to generate oncometabolites, this is a relatively rare event in cancer. Usually, gene amplification, overexpression, and/or downstream signal transduction upregulate rate‐limiting metabolic enzymes and limit feedback loops, to drive persistent tumor growth. Recent molecular‐genetic advances have revealed discrete links between oncogenotypes and the resultant metabolic phenotypes. However, more comprehensive approaches are needed to unravel the dynamic spatio‐temporal regulatory map of enzymes and metabolites that enable cancer cells to adapt to their microenvironment to maximize tumor growth. Proteomic and metabolomic analyses are powerful tools for analyzing a repertoire of metabolic enzymes as well as intermediary metabolites, and in conjunction with other omics approaches could provide critical information in this regard. Here, we provide an overview of cancer metabolism, especially from an omics perspective and with a particular focus on the genomically well characterized malignant brain tumor, glioblastoma. We further discuss how metabolomics could be leveraged to improve the management of patients, by linking cancer cell genotype, epigenotype, and phenotype through metabolic reprogramming.
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Affiliation(s)
- Kenta Masui
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Webster K Cavenee
- Ludwig Institute for Cancer Research, University of California San Diego, La Jolla, CA, 92093, USA
| | - Paul S Mischel
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA.,ChEM-H, Stanford University, Stanford, CA, 94305, USA
| | - Noriyuki Shibata
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
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25
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Shi Y, Sun F, Cheng Y, Holmes B, Dhakal B, Gera JF, Janz S, Lichtenstein A. Critical role for cap-independent c-myc translation in progression of multiple myeloma. Mol Cancer Ther 2022; 21:502-510. [PMID: 35086951 DOI: 10.1158/1535-7163.mct-21-0016] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 07/30/2021] [Accepted: 01/11/2022] [Indexed: 11/16/2022]
Abstract
Dysregulated c-myc is a determinant of multiple myeloma (MM) progression. Translation of c-myc can be achieved by an mTOR-mediated, cap-dependent mechanism or a cap-independent mechanism where a sequence in the 5'UTR of mRNA, termed the IRES (internal ribosome entry site), recruits the 40S ribosomal subunit. This mechanism requires the RNA-binding factor hnRNP A1 (A1) and becomes critical when cap-dependent translation is inhibited during endoplasmic reticulum (ER) stress. We, thus, studied the role of A1 and the myc IRES in myeloma biology. A1 expression correlated with enhanced c-myc expression in patient samples. Expression of A1 in MM lines was mediated by c-myc itself, suggesting a positive feed-back circuit where myc induces A1 and A1 enhances myc translation. We then deleted the A1 gene in a myc-driven murine myeloma model. A1-deleted MM cells demonstrated down-regulated myc expression and were inhibited in their growth in vivo. Decreased myc expression was due to reduced translational efficiency and depressed IRES activity. We also studied the J007 inhibitor which prevents A1's interaction with the myc IRES. J007 inhibited myc translation and IRES activity and diminished myc expression in murine and human MM lines as well as primary samples. J007 also inhibited tumor outgrowth in mice after subcutaneous or intravenous challenge and prevented osteolytic bone disease. When c-myc was ectopically re-expressed in A1-deleted MM cells, tumor growth was re-established. These results support the critical role of A1-dependent myc IRES-translation in myeloma.
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Affiliation(s)
- Yijiang Shi
- Hematology-Oncology, VA West LA-UCLA Medical Center
| | - Fumou Sun
- Internal Medicine, University of Arkansas for Medical Sciences
| | - Yan Cheng
- Internal Medicine, University of Arkansas for Medical Sciences
| | - Brent Holmes
- Hematology-Oncology, VA West LA-UCLA Medical Center
| | - Binod Dhakal
- Hematology/Oncology, Medical College of Wisconsin
| | - Joseph F Gera
- Department of Research & Development, Greater Los Angeles VA Healthcare System, UCLA SOM
| | | | - Alan Lichtenstein
- Department of Hematology-Oncology, University of California, Los Angeles
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26
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Emerging Molecular Dependencies of Mutant EGFR-Driven Non-Small Cell Lung Cancer. Cells 2021; 10:cells10123553. [PMID: 34944063 PMCID: PMC8699920 DOI: 10.3390/cells10123553] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/09/2021] [Accepted: 12/13/2021] [Indexed: 12/12/2022] Open
Abstract
Epidermal growth factor receptor (EGFR) mutations are the molecular driver of a subset of non-small cell lung cancers (NSCLC); tumors that harbor these mutations are often dependent on sustained oncogene signaling for survival, a concept known as “oncogene addiction”. Inhibiting EGFR with tyrosine kinase inhibitors has improved clinical outcomes for patients; however, successive generations of inhibitors have failed to prevent the eventual emergence of resistance to targeted agents. Although these tumors have a well-established dependency on EGFR signaling, there remain questions about the underlying genetic mechanisms necessary for EGFR-driven oncogenesis and the factors that allow tumor cells to escape EGFR dependence. In this review, we highlight the latest findings on mutant EGFR dependencies, co-operative drivers, and molecular mechanisms that underlie sensitivity to EGFR inhibitors. Additionally, we offer perspective on how these discoveries may inform novel combination therapies tailored to EGFR mutant NSCLC.
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27
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Wu F, Liu YW, Li GZ, Zhai Y, Feng YM, Ma WP, Zhao Z, Zhang W. Metabolic expression profiling stratifies diffuse lower-grade glioma into three distinct tumour subtypes. Br J Cancer 2021; 125:255-264. [PMID: 34006924 PMCID: PMC8292364 DOI: 10.1038/s41416-021-01418-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 04/20/2021] [Accepted: 04/22/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Lower-grade gliomas (LGGs) show highly metabolic heterogeneity and adaptability. To develop effective therapeutic strategies targeting metabolic processes, it is necessary to identify metabolic differences and define metabolic subtypes. Here, we aimed to develop a classification system based on metabolic gene expression profile in LGGs. METHODS The metabolic gene profile of 402 diffuse LGGs from the Cancer Genome Atlas (TCGA) was used for consensus clustering to determine robust clusters of patients, and the reproducibility of the classification system was evaluated in three Chinese Glioma Genome Atlas (CGGA) cohorts. Then, the metadata set for clinical characteristics, immune infiltration, metabolic signatures and somatic alterations was integrated to characterise the features of each subtype. RESULTS We successfully identified and validated three highly distinct metabolic subtypes in LGGs. M2 subtype with upregulated carbohydrate, nucleotide and vitamin metabolism correlated with worse prognosis, whereas M1 subtype with upregulated lipid metabolism and immune infiltration showed better outcome. M3 subtype was associated with low metabolic activities and displayed good prognosis. Three metabolic subtypes correlated with diverse somatic alterations. Finally, we developed and validated a metabolic signature with better performance of prognosis prediction. CONCLUSIONS Our study provides a new classification based on metabolic gene profile and highlights the metabolic heterogeneity within LGGs.
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Affiliation(s)
- Fan Wu
- grid.24696.3f0000 0004 0369 153XDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China ,Chinese Glioma Genome Atlas Network (CGGA) and Asian Glioma Genome Atlas Network (AGGA), Beijing, China
| | - Yan-Wei Liu
- grid.24696.3f0000 0004 0369 153XDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China ,Chinese Glioma Genome Atlas Network (CGGA) and Asian Glioma Genome Atlas Network (AGGA), Beijing, China
| | - Guan-Zhang Li
- grid.24696.3f0000 0004 0369 153XDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China ,Chinese Glioma Genome Atlas Network (CGGA) and Asian Glioma Genome Atlas Network (AGGA), Beijing, China
| | - You Zhai
- grid.24696.3f0000 0004 0369 153XDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China ,Chinese Glioma Genome Atlas Network (CGGA) and Asian Glioma Genome Atlas Network (AGGA), Beijing, China
| | - Yue-Mei Feng
- grid.24696.3f0000 0004 0369 153XDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China ,Chinese Glioma Genome Atlas Network (CGGA) and Asian Glioma Genome Atlas Network (AGGA), Beijing, China
| | - Wen-Ping Ma
- grid.24696.3f0000 0004 0369 153XDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China ,Chinese Glioma Genome Atlas Network (CGGA) and Asian Glioma Genome Atlas Network (AGGA), Beijing, China
| | - Zheng Zhao
- grid.24696.3f0000 0004 0369 153XDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China ,Chinese Glioma Genome Atlas Network (CGGA) and Asian Glioma Genome Atlas Network (AGGA), Beijing, China
| | - Wei Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China ,Chinese Glioma Genome Atlas Network (CGGA) and Asian Glioma Genome Atlas Network (AGGA), Beijing, China
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28
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Aziz MW, Kamal AM, Mohamed KO, Elgendy AA. Design, synthesis and assessment of new series of quinazolinone derivatives as EGFR inhibitors along with their cytotoxic evaluation against MCF7 and A549 cancer cell lines. Bioorg Med Chem Lett 2021; 41:127987. [PMID: 33771586 DOI: 10.1016/j.bmcl.2021.127987] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 03/06/2021] [Accepted: 03/10/2021] [Indexed: 12/19/2022]
Abstract
New acetamide (IV a-e) and 1,3-thiazolidinone derivatives (VII a-e) were designed, synthesized and assessed for their cytotoxic activity against MCF-7 and A549 cell lines along with their lead compounds (erlotinib and gefitinib). The newly designed compounds were prepared according to the adopted procedures in schemes 1 and 2 from their quinazolinone parents. 3D QSAR pharmacophore and docking molecular modeling protocols were conducted using Discovery Studio program, beside a full biological assay for these compounds. The cytotoxicity evaluation demonstrated that compounds IVb, IVc, VIIa, VIIb, VIId exhibited potent cytotoxic activities against both MCF-7 and A549 cell lines. Moreover, the molecular modeling studies corroborated to the affinity of the compounds towards EGFR. Consequently, these five compounds were then screened for their EGFR inhibition and evaluated as well for their toxicity to normal cells, which revealed that the acetamide derivative IVc and the thiazolidinone derivative VIIa were the most potent and least toxic. DNA flow cytometry analysis was conducted for compounds IVc and VIIa, which indicated that they both induced arrest at G2/M phase of the cell cycle.
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Affiliation(s)
- Marian W Aziz
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Misr International University, Cairo, Egypt
| | - Aliaa M Kamal
- Department of Pharmaceutical Organic Chemistry, Faculty of Pharmacy, Cairo University, Cairo, Egypt; Department of Pharmaceutical Chemistry, Faculty of Pharmacy, October University for Modern Science and Arts (MSA), Giza, Egypt
| | - Khaled O Mohamed
- Department of Pharmaceutical Organic Chemistry, Faculty of Pharmacy, Cairo University, Cairo, Egypt
| | - Adel A Elgendy
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Misr International University, Cairo, Egypt.
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29
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Vallée A, Lecarpentier Y, Vallée JN. Opposed Interplay between IDH1 Mutations and the WNT/β-Catenin Pathway: Added Information for Glioma Classification. Biomedicines 2021; 9:biomedicines9060619. [PMID: 34070746 PMCID: PMC8229353 DOI: 10.3390/biomedicines9060619] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 05/26/2021] [Accepted: 05/28/2021] [Indexed: 12/23/2022] Open
Abstract
Gliomas are the main common primary intraparenchymal brain tumor in the central nervous system (CNS), with approximately 7% of the death caused by cancers. In the WHO 2016 classification, molecular dysregulations are part of the definition of particular brain tumor entities for the first time. Nevertheless, the underlying molecular mechanisms remain unclear. Several studies have shown that 75% to 80% of secondary glioblastoma (GBM) showed IDH1 mutations, whereas only 5% of primary GBM have IDH1 mutations. IDH1 mutations lead to better overall survival in gliomas patients. IDH1 mutations are associated with lower stimulation of the HIF-1α a, aerobic glycolysis and angiogenesis. The stimulation of HIF-1α and the process of angiogenesis appears to be activated only when hypoxia occurs in IDH1-mutated gliomas. In contrast, the observed upregulation of the canonical WNT/β-catenin pathway in gliomas is associated with proliferation, invasion, aggressive-ness and angiogenesis.. Molecular pathways of the malignancy process are involved in early stages of WNT/β-catenin pathway-activated-gliomas, and this even under normoxic conditions. IDH1 mutations lead to decreased activity of the WNT/β-catenin pathway and its enzymatic targets. The opposed interplay between IDH1 mutations and the canonical WNT/β-catenin pathway in gliomas could participate in better understanding of the observed evolution of different tumors and could reinforce the glioma classification.
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Affiliation(s)
- Alexandre Vallée
- Department of Clinical Research and Innovation, Foch Hospital, 92150 Suresnes, France
- Correspondence:
| | - Yves Lecarpentier
- Centre de Recherche Clinique, Grand Hôpital de l’Est Francilien (GHEF), 77100 Meaux, France;
| | - Jean-Noël Vallée
- Centre Hospitalier Universitaire (CHU) Amiens Picardie, Université Picardie Jules Verne (UPJV), 80000 Amiens, France;
- Laboratoire de Mathématiques et Applications (LMA), UMR CNRS 7348, Université de Poitiers, 86000 Poitiers, France
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30
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Kitamura K, Nimura K. Regulation of RNA Splicing: Aberrant Splicing Regulation and Therapeutic Targets in Cancer. Cells 2021; 10:923. [PMID: 33923658 PMCID: PMC8073995 DOI: 10.3390/cells10040923] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/16/2021] [Accepted: 04/14/2021] [Indexed: 02/06/2023] Open
Abstract
RNA splicing is a critical step in the maturation of precursor mRNA (pre-mRNA) by removing introns and exons. The combination of inclusion and exclusion of introns and exons in pre-mRNA can generate vast diversity in mature mRNA from a limited number of genes. Cancer cells acquire cancer-specific mechanisms through aberrant splicing regulation to acquire resistance to treatment and to promote malignancy. Splicing regulation involves many factors, such as proteins, non-coding RNAs, and DNA sequences at many steps. Thus, the dysregulation of splicing is caused by many factors, including mutations in RNA splicing factors, aberrant expression levels of RNA splicing factors, small nuclear ribonucleoproteins biogenesis, mutations in snRNA, or genomic sequences that are involved in the regulation of splicing, such as 5' and 3' splice sites, branch point site, splicing enhancer/silencer, and changes in the chromatin status that affect the splicing profile. This review focuses on the dysregulation of RNA splicing related to cancer and the associated therapeutic methods.
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Affiliation(s)
- Koji Kitamura
- Division of Gene Therapy Science, Department of Genome Biology, Graduate School of Medicine, Osaka University, 2-2 Yamada-oka, Suita, Osaka 565-0871, Japan;
- Department of Otorhinolaryngology-Head and Neck Surgery, Graduate School of Medicine, Osaka University, 2-2 Yamada-oka, Suita, Osaka 565-0871, Japan
| | - Keisuke Nimura
- Division of Gene Therapy Science, Department of Genome Biology, Graduate School of Medicine, Osaka University, 2-2 Yamada-oka, Suita, Osaka 565-0871, Japan;
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Regulation of Glycolysis in Head and Neck Cancer. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1280:219-230. [PMID: 33791985 DOI: 10.1007/978-3-030-51652-9_15] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Head and neck squamous cell carcinoma (HNSCC) glycolysis is an important factor for the advancement of the disease and metastasis. Upregulation of glycolysis leads to decreased sensitivity to chemotherapy and radiation. HNSCC cells maintain constitutive glycolytic flux generating metabolic intermediates for the synthesis of amino acids, nucleotides, and fats for cell survival and disease progression. There are several pathways such as PI3K/Akt, EGFR, and JAK-STAT that contribute a major role in metabolic alteration in HNSCC. Recent studies have demonstrated that cancer-associated fibroblasts abundant in the HNSCC tumor microenvironment play a major role in HNSCC metabolic alteration via hepatocyte growth factor (HGF)/c-Met cross signaling. Despite therapeutic advancement, HNSCC lacks broad range of therapeutic interventions for the treatment of the disease. Thus, understanding the different key players involved in glucose metabolism and targeting them would lead to the development of novel drugs for the treatment of HNSCC.
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Abstract
Glioblastomas (GBMs) exhibit altered metabolism to support a variety of bioenergetic and biosynthetic demands for tumor growth, invasion, and drug resistance. Changes in glycolytic flux, oxidative phosphorylation, the pentose phosphate pathway, fatty acid biosynthesis and oxidation, and nucleic acid biosynthesis are observed in GBMs to help drive tumorigenesis. Both the genetic landscape of GBMs and the unique brain tumor microenvironment shape metabolism; therefore, an understanding of how both intrinsic and extrinsic factors modulate metabolism is becoming increasingly important for finding effect targets and therapeutics for GBM.
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Affiliation(s)
- Danielle Morrow
- Department of Molecular and Medical Pharmacology, University of California Los Angeles
| | - Jenna Minami
- Department of Molecular and Medical Pharmacology, University of California Los Angeles
| | - David A Nathanson
- Department of Molecular and Medical Pharmacology, University of California Los Angeles; David Geffen School of Medicine, University of California Los Angeles.
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33
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Liu Z, Rabadan R. Computing the Role of Alternative Splicing in Cancer. Trends Cancer 2021; 7:347-358. [PMID: 33500226 PMCID: PMC7969404 DOI: 10.1016/j.trecan.2020.12.015] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 12/22/2020] [Accepted: 12/22/2020] [Indexed: 12/21/2022]
Abstract
Most human genes undergo alternative splicing (AS), and dysregulation of alternative splicing contributes to tumor initiation and progression. Computational analysis of genomic and transcriptomic data enables the systematic characterization of alternative splicing and its functional role in cancer. In this review, we summarize the latest computational approaches to studying alternative splicing in cancer and the current limitations of the most popular tools in this field. Finally, we describe some of the current computational challenges in the characterization of the role of alternative splicing in cancer.
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Affiliation(s)
- Zhaoqi Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; China National Center for Bioinformation, Beijing 100101, China.
| | - Raul Rabadan
- Program for Mathematical Genomics, Columbia University, New York, NY 10032, USA; Departments of Systems Biology and Biomedical Informatics, Columbia University, New York, NY 10032, USA.
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Medda A, Duca D, Chiocca S. Human Papillomavirus and Cellular Pathways: Hits and Targets. Pathogens 2021; 10:262. [PMID: 33668730 PMCID: PMC7996217 DOI: 10.3390/pathogens10030262] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 02/08/2021] [Accepted: 02/19/2021] [Indexed: 12/18/2022] Open
Abstract
The Human Papillomavirus (HPV) is the causative agent of different kinds of tumors, including cervical cancers, non-melanoma skin cancers, anogenital cancers, and head and neck cancers. Despite the vaccination campaigns implemented over the last decades, we are far from eradicating HPV-driven malignancies. Moreover, the lack of targeted therapies to tackle HPV-related tumors exacerbates this problem. Biomarkers for early detection of the pathology and more tailored therapeutic approaches are needed, and a complete understanding of HPV-driven tumorigenesis is essential to reach this goal. In this review, we overview the molecular pathways implicated in HPV infection and carcinogenesis, emphasizing the potential targets for new therapeutic strategies as well as new biomarkers.
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Affiliation(s)
| | | | - Susanna Chiocca
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, 20139 Milan, Italy; (A.M.); (D.D.)
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35
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Goenka A, Tiek D, Song X, Huang T, Hu B, Cheng SY. The Many Facets of Therapy Resistance and Tumor Recurrence in Glioblastoma. Cells 2021; 10:cells10030484. [PMID: 33668200 PMCID: PMC7995978 DOI: 10.3390/cells10030484] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 02/19/2021] [Accepted: 02/19/2021] [Indexed: 12/14/2022] Open
Abstract
Glioblastoma (GBM) is the most lethal type of primary brain cancer. Standard care using chemo- and radio-therapy modestly increases the overall survival of patients; however, recurrence is inevitable, due to treatment resistance and lack of response to targeted therapies. GBM therapy resistance has been attributed to several extrinsic and intrinsic factors which affect the dynamics of tumor evolution and physiology thus creating clinical challenges. Tumor-intrinsic factors such as tumor heterogeneity, hypermutation, altered metabolomics and oncologically activated alternative splicing pathways change the tumor landscape to facilitate therapy failure and tumor progression. Moreover, tumor-extrinsic factors such as hypoxia and an immune-suppressive tumor microenvironment (TME) are the chief causes of immunotherapy failure in GBM. Amid the success of immunotherapy in other cancers, GBM has occurred as a model of resistance, thus focusing current efforts on not only alleviating the immunotolerance but also evading the escape mechanisms of tumor cells to therapy, caused by inter- and intra-tumoral heterogeneity. Here we review the various mechanisms of therapy resistance in GBM, caused by the continuously evolving tumor dynamics as well as the complex TME, which cumulatively contribute to GBM malignancy and therapy failure; in an attempt to understand and identify effective therapies for recurrent GBM.
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Affiliation(s)
| | | | | | | | | | - Shi-Yuan Cheng
- Correspondence: ; Tel.: +1-312-503-3043; Fax: +1-312-503-5603
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36
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Zhang Y, Qian J, Gu C, Yang Y. Alternative splicing and cancer: a systematic review. Signal Transduct Target Ther 2021; 6:78. [PMID: 33623018 PMCID: PMC7902610 DOI: 10.1038/s41392-021-00486-7] [Citation(s) in RCA: 148] [Impact Index Per Article: 49.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 09/24/2020] [Accepted: 09/28/2020] [Indexed: 01/31/2023] Open
Abstract
The abnormal regulation of alternative splicing is usually accompanied by the occurrence and development of tumors, which would produce multiple different isoforms and diversify protein expression. The aim of the present study was to conduct a systematic review in order to describe the regulatory mechanisms of alternative splicing, as well as its functions in tumor cells, from proliferation and apoptosis to invasion and metastasis, and from angiogenesis to metabolism. The abnormal splicing events contributed to tumor progression as oncogenic drivers and/or bystander factors. The alterations in splicing factors detected in tumors and other mis-splicing events (i.e., long non-coding and circular RNAs) in tumorigenesis were also included. The findings of recent therapeutic approaches targeting splicing catalysis and splicing regulatory proteins to modulate pathogenically spliced events (including tumor-specific neo-antigens for cancer immunotherapy) were introduced. The emerging RNA-based strategies for the treatment of cancer with abnormally alternative splicing isoforms were also discussed. However, further studies are still required to address the association between alternative splicing and cancer in more detail.
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Affiliation(s)
- Yuanjiao Zhang
- The Third Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Jinjun Qian
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Chunyan Gu
- The Third Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
| | - Ye Yang
- The Third Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
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Jiang X, Liu B, Nie Z, Duan L, Xiong Q, Jin Z, Yang C, Chen Y. The role of m6A modification in the biological functions and diseases. Signal Transduct Target Ther 2021; 6:74. [PMID: 33611339 PMCID: PMC7897327 DOI: 10.1038/s41392-020-00450-x] [Citation(s) in RCA: 687] [Impact Index Per Article: 229.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 12/09/2020] [Indexed: 01/31/2023] Open
Abstract
N6-methyladenosine (m6A) is the most prevalent, abundant and conserved internal cotranscriptional modification in eukaryotic RNAs, especially within higher eukaryotic cells. m6A modification is modified by the m6A methyltransferases, or writers, such as METTL3/14/16, RBM15/15B, ZC3H3, VIRMA, CBLL1, WTAP, and KIAA1429, and, removed by the demethylases, or erasers, including FTO and ALKBH5. It is recognized by m6A-binding proteins YTHDF1/2/3, YTHDC1/2 IGF2BP1/2/3 and HNRNPA2B1, also known as "readers". Recent studies have shown that m6A RNA modification plays essential role in both physiological and pathological conditions, especially in the initiation and progression of different types of human cancers. In this review, we discuss how m6A RNA methylation influences both the physiological and pathological progressions of hematopoietic, central nervous and reproductive systems. We will mainly focus on recent progress in identifying the biological functions and the underlying molecular mechanisms of m6A RNA methylation, its regulators and downstream target genes, during cancer progression in above systems. We propose that m6A RNA methylation process offer potential targets for cancer therapy in the future.
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Affiliation(s)
- Xiulin Jiang
- grid.419010.d0000 0004 1792 7072Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, 650223 Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, 100049 Beijing, China
| | - Baiyang Liu
- grid.419010.d0000 0004 1792 7072Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, 650223 Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, 100049 Beijing, China
| | - Zhi Nie
- grid.419010.d0000 0004 1792 7072Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, 650223 Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, 100049 Beijing, China ,grid.285847.40000 0000 9588 0960Kunming Medical University, 650500 Kunming, China
| | - Lincan Duan
- grid.285847.40000 0000 9588 0960Kunming Medical University, 650500 Kunming, China
| | - Qiuxia Xiong
- grid.285847.40000 0000 9588 0960Kunming Medical University, 650500 Kunming, China
| | - Zhixian Jin
- grid.285847.40000 0000 9588 0960Kunming Medical University, 650500 Kunming, China
| | - Cuiping Yang
- grid.419010.d0000 0004 1792 7072Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, 650223 Kunming, Yunnan China
| | - Yongbin Chen
- grid.419010.d0000 0004 1792 7072Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, 650223 Kunming, Yunnan China ,grid.9227.e0000000119573309Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223 Kunming, Yunnan China
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Quinones A, Le A. The Multifaceted Glioblastoma: From Genomic Alterations to Metabolic Adaptations. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1311:59-76. [PMID: 34014534 DOI: 10.1007/978-3-030-65768-0_4] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Glioblastoma multiforme (GBM) develops on glial cells and is the most common as well as the deadliest form of brain cancer. As in other cancers, distinct combinations of genetic alterations in GBM subtypes induce a diversity of metabolic phenotypes, which explains the variability of GBM sensitivity to current therapies targeting its reprogrammed metabolism. Therefore, it is becoming imperative for cancer researchers to account for the temporal and spatial heterogeneity within this cancer type before making generalized conclusions about a particular treatment's efficacy. Standard therapies for GBM have shown little success as the disease is almost always lethal; however, researchers are making progress and learning how to combine therapeutic strategies most effectively. GBMs can be classified initially into two subsets consisting of primary and secondary GBMs, and this categorization stems from cancer development. GBM is the highest grade of gliomas, which includes glioma I (low proliferative potential), glioma II (low proliferative potential with some capacity for infiltration and recurrence), glioma III (evidence of malignancy), and glioma IV (GBM) (malignant with features of necrosis and microvascular proliferation). Secondary GBM develops from a low-grade glioma to an advanced-stage cancer, while primary GBM provides no signs of progression and is identified as an advanced-stage glioma from the onset. The differences in prognosis and histology correlated with each classification are generally negligible, but the demographics of individuals affected and the accompanying genetic/metabolic properties show distinct differentiation [3].
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Affiliation(s)
| | - Anne Le
- Department of Pathology and Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. .,Department of Chemical and Biomolecular Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.
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Abstract
The Epidermal Growth Factor Receptor (EGFR) is frequently expressed at elevated levels in different forms of cancer and expression often correlates positively with cancer progression and poor prognosis. Different mutant forms of this protein also contribute to cancer heterogeneity. A constitutively active form of EGFR, EGFRvIII is one of the most important variants. EGFR is responsible for the maintenance and functions of cancer stem cells (CSCs), including stemness, metabolism, immunomodulatory-activity, dormancy and therapy-resistance. EGFR regulates these pathways through several signaling cascades, and often cooperates with other RTKs to exert further control. Inhibitors of EGFR have been extensively studied and display some anticancer efficacy. However, CSCs can also acquire resistance to EGFR inhibitors making effective therapy even more difficult. To ameliorate this limitation of EGFR inhibitors when used as single agents, it may be of value to simultaneously combine multiple EGFR inhibitors or use EGFR inhibitors with regulators of other important cancer phenotype regulating molecules, such as STAT3, or involved in important processes such as DNA repair. These combinatorial approaches require further experimental confirmation, but if successful would expand and improve therapeutic outcomes employing EGFR inhibitors as one arm of the therapy.
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40
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Harachi M, Masui K, Honda H, Muragaki Y, Kawamata T, Cavenee WK, Mischel PS, Shibata N. Dual Regulation of Histone Methylation by mTOR Complexes Controls Glioblastoma Tumor Cell Growth via EZH2 and SAM. Mol Cancer Res 2020; 18:1142-1152. [PMID: 32366675 DOI: 10.1158/1541-7786.mcr-20-0024] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 03/30/2020] [Accepted: 04/29/2020] [Indexed: 11/16/2022]
Abstract
Epigenetic regulation known for DNA methylation and histone modification is critical for securing proper gene expression and chromosomal function, and its aberration induces various pathologic conditions including cancer. Trimethylation of histone H3 on lysine 27 (H3K27me3) is known to suppress various genes related to cancer cell survival and the level of H3K27me3 may have an influence on tumor progression and malignancy. However, it remains unclear how histone methylation is regulated in response to genetic mutation and microenvironmental cues to facilitate the cancer cell survival. Here, we report a novel mechanism of the specific regulation of H3K27me3 by cooperatively two mTOR complexes, mTORC1 and mTORC2 in human glioblastoma (GBM). Integrated analyses revealed that mTORC1 upregulates the protein expression of enhancer of zeste homolog 2, a main component of polycomb repressive complex 2 which is known as H3K27-specific methyltransferase. The other mTOR complex, mTORC2, regulates production of S-adenosylmethionine, an essential substrate for histone methylation. This cooperative regulation causes H3K27 hypermethylation which subsequently promotes tumor cell survival both in vitro and in vivo xenografted mouse tumor model. These results indicate that activated mTORC1 and mTORC2 complexes cooperatively contribute to tumor progression through specific epigenetic regulation, nominating them as an exploitable therapeutic target against cancer. IMPLICATIONS: A dynamic regulation of histone methylation by mTOR complexes promotes tumor growth in human GBM, but at the same time could be exploitable as a novel therapeutic target against this deadly tumor.
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Affiliation(s)
- Mio Harachi
- Division of Pathological Neuroscience, Department of Pathology, Tokyo Women's Medical University, Tokyo, Japan
| | - Kenta Masui
- Division of Pathological Neuroscience, Department of Pathology, Tokyo Women's Medical University, Tokyo, Japan.
| | - Hiroaki Honda
- Field of Human Disease Models, Major in Advanced Life Sciences and Medicine, Institute of Laboratory Animals, Tokyo Women's Medical University, Tokyo, Japan
| | | | | | - Webster K Cavenee
- Ludwig Institute for Cancer Research, University of California San Diego, La Jolla, California
| | - Paul S Mischel
- Ludwig Institute for Cancer Research, University of California San Diego, La Jolla, California
| | - Noriyuki Shibata
- Division of Pathological Neuroscience, Department of Pathology, Tokyo Women's Medical University, Tokyo, Japan
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41
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mTOR complex 2 is an integrator of cancer metabolism and epigenetics. Cancer Lett 2020; 478:1-7. [PMID: 32145344 DOI: 10.1016/j.canlet.2020.03.001] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Revised: 02/18/2020] [Accepted: 03/02/2020] [Indexed: 02/07/2023]
Abstract
Metabolic reprogramming is a central hallmark of cancer and is driven by abnormalites of oncogenes and tumor suppressors. This enables tumor cells to obtain the macromolecular precursors and energy needed for rapid tumor growth. Accelerated metabolism also translates into cancer cell aggression through epigenetic changes. The aberrant signaling cascades activated by oncogenes coordinate metabolic reprogramming with epigenetic shifts and subsequent global transcriptional changes through the dysregulation of rate-limiting metabolic enzymes as well as by facilitating the production of intermediary metabolites. As the landscape of cancer cell metabolism has been elucidated, it is now time for this knowledge to be translated into benefit for patients. Here we review the recently identified central regulatory role for mechanistic/mammalian target of rapamycin complex 2 (mTORC2), a downstream effector of many cancer-causing mutations, in reprogramming the metabolic and epigenetic landscape. This leads to tumor cell survival and cancer drug resistance.
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Masui K, Harachi M, K. Cavenee W, S. Mischel P, Shibata N. Codependency of Metabolism and Epigenetics Drives Cancer Progression: A Review. Acta Histochem Cytochem 2020; 53:1-10. [PMID: 32201436 PMCID: PMC7076272 DOI: 10.1267/ahc.20002] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 02/10/2020] [Indexed: 12/18/2022] Open
Abstract
Cancer is widely considered to be a set of genetic diseases that are currently classified by tissue and cell type of origin and, increasingly, by its molecular characteristics. This latter aspect is based primarily upon oncogene gains, tumor suppressor losses, and associated transcriptional profiles. However, cancers are also characterized by profound alterations in cellular metabolism and epigenetic landscape. It is particularly noteworthy that cancer-causing genomic defects not only activate cell cycle progression, but regulate the opportunistic uptake and utilization of nutrients, effectively enabling tumors to maximize growth and drug resistance in changing tissue and systemic microenvironments. Shifts in chromatin architecture are central to this dynamic behavior. Further, changes in nutrient uptake and utilization directly affect chromatin structure. In this review, we describe a set of recent discoveries of metabolic and epigenetic reprogramming in cancer, and especially focus on the genomically well-characterized brain tumor, glioblastoma. Further, we discuss a new mode of metabolic regulation driven by epigenetic mechanisms, that enables cancer cells to autonomously activate iron metabolism for their survival. Together, these underscore the integration of genetic mutations with metabolic reprogramming and epigenetic shifts in cancer, suggesting a new means to identifying patient subsets suitable for specific precision therapeutics.
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Affiliation(s)
- Kenta Masui
- Department of Pathology, Division of Pathological Neuroscience, Tokyo Women’s Medical University, Tokyo 162–8666, Japan
| | - Mio Harachi
- Department of Pathology, Division of Pathological Neuroscience, Tokyo Women’s Medical University, Tokyo 162–8666, Japan
| | - Webster K. Cavenee
- Ludwig Institute for Cancer Research, University of California San Diego, La Jolla, CA 92093, USA
| | - Paul S. Mischel
- Ludwig Institute for Cancer Research, University of California San Diego, La Jolla, CA 92093, USA
| | - Noriyuki Shibata
- Department of Pathology, Division of Pathological Neuroscience, Tokyo Women’s Medical University, Tokyo 162–8666, Japan
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EGFR activates GDH1 transcription to promote glutamine metabolism through MEK/ERK/ELK1 pathway in glioblastoma. Oncogene 2020; 39:2975-2986. [PMID: 32034306 DOI: 10.1038/s41388-020-1199-2] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 01/26/2020] [Accepted: 01/28/2020] [Indexed: 11/08/2022]
Abstract
Cancer metabolism research has recently been revived and its focus expanded from glucose and the Warburg's effects on other nutrients, such as glutamine. The underlying mechanism of oncogenic alterations of glutaminolysis remains unclear. Genetic alterations of EGFR are observed in ~50% of glioblastoma (GBM) patients, and have been found to play important roles in the metabolic abnormalities of GBM. In this study, we found that glutamine metabolism was upregulated after EGFR activation in a GDH1 (glutamate dehydrogenase 1)-dependent manner. Knockdown of GDH1 significantly reduced the cell proliferation, colony formation and tumorigenesis abilities of glioblastoma cells. Furthermore, we showed that GDH1-mediated glutaminolysis was involved in EGF-promoted cell proliferation. EGFR triggered the phosphorylation of ELK1 at Ser 383 through activating MEK/ERK signaling. Phosphorylated ELK1 enriched in the promoter of GDH1 to activate the transcription of GDH1, which then promoted glutamine metabolism. In addition, EGFR activation did not accelerate glutaminolysis in ELK1 knockdown or ELK1 Ser383-mutated cells. Collectively, our findings indicate that EGFR phosphorylates ELK1 to activate GDH1 transcription and glutaminolysis through MEK/ERK pathway, providing new insight into oncogenic alterations of glutamine metabolism.
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44
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Impact of HPV E5 on viral life cycle via EGFR signaling. Microb Pathog 2020; 139:103923. [DOI: 10.1016/j.micpath.2019.103923] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 12/08/2019] [Accepted: 12/10/2019] [Indexed: 12/28/2022]
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Bi J, Chowdhry S, Wu S, Zhang W, Masui K, Mischel PS. Altered cellular metabolism in gliomas - an emerging landscape of actionable co-dependency targets. Nat Rev Cancer 2020; 20:57-70. [PMID: 31806884 DOI: 10.1038/s41568-019-0226-5] [Citation(s) in RCA: 159] [Impact Index Per Article: 39.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/31/2019] [Indexed: 12/18/2022]
Abstract
Altered cellular metabolism is a hallmark of gliomas. Propelled by a set of recent technological advances, new insights into the molecular mechanisms underlying glioma metabolism are rapidly emerging. In this Review, we focus on the dynamic nature of glioma metabolism and how it is shaped by the interaction between tumour genotype and brain microenvironment. Recent advances integrating metabolomics with genomics are discussed, yielding new insight into the mechanisms that drive glioma pathogenesis. Studies that shed light on interactions between the tumour microenvironment and tumour genotype are highlighted, providing important clues as to how gliomas respond to and adapt to their changing tissue and biochemical contexts. Finally, a road map for the discovery of potential new glioma drug targets is suggested, with the goal of translating these new insights about glioma metabolism into clinical benefits for patients.
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Affiliation(s)
- Junfeng Bi
- Ludwig Institute for Cancer Research, University of California San Diego, La Jolla, CA, USA
| | - Sudhir Chowdhry
- Ludwig Institute for Cancer Research, University of California San Diego, La Jolla, CA, USA
| | - Sihan Wu
- Ludwig Institute for Cancer Research, University of California San Diego, La Jolla, CA, USA
| | - Wenjing Zhang
- Ludwig Institute for Cancer Research, University of California San Diego, La Jolla, CA, USA
| | - Kenta Masui
- Department of Pathology, Tokyo Women's Medical University, Tokyo, Japan
| | - Paul S Mischel
- Ludwig Institute for Cancer Research, University of California San Diego, La Jolla, CA, USA.
- Department of Pathology, UCSD School of Medicine, La Jolla, CA, USA.
- Moores Cancer Center, UCSD School of Medicine, La Jolla, CA, USA.
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Splicing Dysregulation as Oncogenic Driver and Passenger Factor in Brain Tumors. Cells 2019; 9:cells9010010. [PMID: 31861467 PMCID: PMC7016899 DOI: 10.3390/cells9010010] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Revised: 12/13/2019] [Accepted: 12/15/2019] [Indexed: 12/21/2022] Open
Abstract
Brain tumors are a heterogeneous group of neoplasms ranging from almost benign to highly aggressive phenotypes. The malignancy of these tumors mostly relies on gene expression reprogramming, which is frequently accompanied by the aberrant regulation of RNA processing mechanisms. In brain tumors, defects in alternative splicing result either from the dysregulation of expression and activity of splicing factors, or from mutations in the genes encoding splicing machinery components. Aberrant splicing regulation can generate dysfunctional proteins that lead to modification of fundamental physiological cellular processes, thus contributing to the development or progression of brain tumors. Herein, we summarize the current knowledge on splicing abnormalities in brain tumors and how these alterations contribute to the disease by sustaining proliferative signaling, escaping growth suppressors, or establishing a tumor microenvironment that fosters angiogenesis and intercellular communications. Lastly, we review recent efforts aimed at developing novel splicing-targeted cancer therapies, which employ oligonucleotide-based approaches or chemical modulators of alternative splicing that elicit an impact on brain tumor biology.
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47
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Splicing regulatory factors in breast cancer hallmarks and disease progression. Oncotarget 2019; 10:6021-6037. [PMID: 31666932 PMCID: PMC6800274 DOI: 10.18632/oncotarget.27215] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 08/29/2019] [Indexed: 12/31/2022] Open
Abstract
By regulating transcript isoform expression levels, alternative splicing provides an additional layer of protein control. Recent studies show evidence that cancer cells use different splicing events to fulfill their requirements in order to develop, progress and metastasize. However, there has been less attention for the role of the complex catalyzing the complicated multistep splicing reaction: the spliceosome. The spliceosome consists of multiple sub-complexes in total comprising 244 proteins or splice factors and 5 associated RNA molecules. Here we discuss the role of splice factors in the oncogenic processes tumors cells need to fulfill their oncogenic properties (the so-called the hallmarks of cancer). Despite the fact that splice factors have been investigated only recently, they seem to play a prominent role in already five hallmarks of cancer: angiogenesis, resisting cell death, sustaining proliferation, deregulating cellular energetics and invasion and metastasis formation by affecting major signaling pathways such as epithelial-to-mesenchymal transition, the Warburg effect, DNA damage response and hormone receptor dependent proliferation. Moreover, we could relate expression of representative genes of four other hallmarks (enabling replicative mortality, genomic instability, avoiding immune destruction and evading growth suppression) to splice factor levels in human breast cancer tumors, suggesting that also these hallmarks could be regulated by splice factors. Since many splice factors are involved in multiple hallmarks of cancer, inhibiting splice factors might provide a new layer of oncogenic control and a powerful method to combat breast cancer progression.
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48
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Chai RC, Li YM, Zhang KN, Chang YZ, Liu YQ, Zhao Z, Wang ZL, Chang YH, Li GZ, Wang KY, Wu F, Wang YZ. RNA processing genes characterize RNA splicing and further stratify lower-grade glioma. JCI Insight 2019; 5:130591. [PMID: 31408440 DOI: 10.1172/jci.insight.130591] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Aberrant expression of RNA processing genes may drive the alterative RNA profile in lower-grade gliomas (LGGs). Thus, we aimed to further stratify LGGs based on the expression of RNA processing genes. METHODS This study included 446 LGGs from The Cancer Genome Atlas (TCGA, training set) and 171 LGGs from the Chinese Glioma Genome Atlas (CGGA, validation set). The least absolute shrinkage and selection operator (LASSO) Cox regression algorithm was conducted to develop a risk-signature. The receiver operating characteristic (ROC) curves and Kaplan-Meier curves were used to study the prognosis value of the risk-signature. RESULTS Among the tested 784 RNA processing genes, 276 were significantly correlated with the OS of LGGs. Further LASSO Cox regression identified a 19-gene risk-signature, whose risk score was also an independently prognosis factor (P<0.0001, multiplex Cox regression) in the validation dataset. The signature had better prognostic value than the traditional factors "age", "grade" and "WHO 2016 classification" for 3- and 5-year survival both two datasets (AUCs > 85%). Importantly, the risk-signature could further stratify the survival of LGGs in specific subgroups of WHO 2016 classification. Furthermore, alternative splicing events for genes such as EGFR and FGFR were found to be associated with the risk score. mRNA expression levels for genes, which participated in cell proliferation and other processes, were significantly correlated to the risk score. CONCLUSIONS Our results highlight the role of RNA processing genes for further stratifying the survival of patients with LGGs and provide insight into the alternative splicing events underlying this role.
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Affiliation(s)
- Rui-Chao Chai
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Genome Atlas, Beijing, China.,China National Clinical Research Center for Neurological Diseases and
| | - Yi-Ming Li
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Genome Atlas, Beijing, China.,Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ke-Nan Zhang
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Genome Atlas, Beijing, China
| | - Yu-Zhou Chang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yu-Qing Liu
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Genome Atlas, Beijing, China
| | - Zheng Zhao
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Genome Atlas, Beijing, China
| | - Zhi-Liang Wang
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Genome Atlas, Beijing, China
| | - Yuan-Hao Chang
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Genome Atlas, Beijing, China
| | - Guan-Zhang Li
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Genome Atlas, Beijing, China
| | - Kuan-Yu Wang
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Genome Atlas, Beijing, China
| | - Fan Wu
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Genome Atlas, Beijing, China
| | - Yong-Zhi Wang
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,Chinese Glioma Genome Atlas, Beijing, China.,China National Clinical Research Center for Neurological Diseases and.,Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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49
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McKinney A, Lindberg OR, Engler JR, Chen KY, Kumar A, Gong H, Lu KV, Simonds EF, Cloughesy TF, Liau LM, Prados M, Bollen AW, Berger MS, Shieh JTC, James CD, Nicolaides TP, Yong WH, Lai A, Hegi ME, Weiss WA, Phillips JJ. Mechanisms of Resistance to EGFR Inhibition Reveal Metabolic Vulnerabilities in Human GBM. Mol Cancer Ther 2019; 18:1565-1576. [PMID: 31270152 DOI: 10.1158/1535-7163.mct-18-1330] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2018] [Revised: 05/10/2019] [Accepted: 06/28/2019] [Indexed: 12/23/2022]
Abstract
Amplification of the epidermal growth factor receptor gene (EGFR) represents one of the most commonly observed genetic lesions in glioblastoma (GBM); however, therapies targeting this signaling pathway have failed clinically. Here, using human tumors, primary patient-derived xenografts (PDX), and a murine model for GBM, we demonstrate that EGFR inhibition leads to increased invasion of tumor cells. Further, EGFR inhibitor-treated GBM demonstrates altered oxidative stress, with increased lipid peroxidation, and generation of toxic lipid peroxidation products. A tumor cell subpopulation with elevated aldehyde dehydrogenase (ALDH) levels was determined to comprise a significant proportion of the invasive cells observed in EGFR inhibitor-treated GBM. Our analysis of the ALDH1A1 protein in newly diagnosed GBM revealed detectable ALDH1A1 expression in 69% (35/51) of the cases, but in relatively low percentages of tumor cells. Analysis of paired human GBM before and after EGFR inhibitor therapy showed an increase in ALDH1A1 expression in EGFR-amplified tumors (P < 0.05, n = 13 tumor pairs), and in murine GBM ALDH1A1-high clones were more resistant to EGFR inhibition than ALDH1A1-low clones. Our data identify ALDH levels as a biomarker of GBM cells with high invasive potential, altered oxidative stress, and resistance to EGFR inhibition, and reveal a therapeutic target whose inhibition should limit GBM invasion.
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Affiliation(s)
- Andrew McKinney
- Department of Neurological Surgery, Brain Tumor Center, University of California, San Francisco, San Francisco, California
| | - Olle R Lindberg
- Department of Neurological Surgery, Brain Tumor Center, University of California, San Francisco, San Francisco, California
| | - Jane R Engler
- Department of Neurological Surgery, Brain Tumor Center, University of California, San Francisco, San Francisco, California
| | - Katharine Y Chen
- Department of Neurological Surgery, Brain Tumor Center, University of California, San Francisco, San Francisco, California
| | - Anupam Kumar
- Department of Neurological Surgery, Brain Tumor Center, University of California, San Francisco, San Francisco, California
| | - Henry Gong
- Department of Neurological Surgery, Brain Tumor Center, University of California, San Francisco, San Francisco, California
| | - Kan V Lu
- Department of Neurological Surgery, Brain Tumor Center, University of California, San Francisco, San Francisco, California
| | - Erin F Simonds
- Department of Neurological Surgery, Brain Tumor Center, University of California, San Francisco, San Francisco, California.,Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.,Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Linda M Liau
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.,Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Michael Prados
- Department of Neurological Surgery, Brain Tumor Center, University of California, San Francisco, San Francisco, California
| | - Andrew W Bollen
- Department of Pathology, Division of Neuropathology, University of California, San Francisco, San Francisco, California
| | - Mitchel S Berger
- Department of Neurological Surgery, Brain Tumor Center, University of California, San Francisco, San Francisco, California
| | - Joseph T C Shieh
- Division of Medical Genetics, Department of Pediatrics, UCSF Benioff Children's Hospital, University of California, San Francisco, San Francisco, California.,Institute for Human Genetics, University of California, San Francisco, San Francisco, California
| | - C David James
- Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Theodore P Nicolaides
- Department of Neurological Surgery, Brain Tumor Center, University of California, San Francisco, San Francisco, California.,Department of Pediatrics, UCSF Benioff Children's Hospital, University of California, San Francisco, San Francisco, California
| | - William H Yong
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Albert Lai
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.,Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Monika E Hegi
- Neuroscience Research Center and Service of Neurosurgery, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - William A Weiss
- Department of Neurological Surgery, Brain Tumor Center, University of California, San Francisco, San Francisco, California.,Department of Neurology, University of California, San Francisco, San Francisco, California.,Department of Pediatrics, UCSF Benioff Children's Hospital, University of California, San Francisco, San Francisco, California
| | - Joanna J Phillips
- Department of Neurological Surgery, Brain Tumor Center, University of California, San Francisco, San Francisco, California. .,Department of Pathology, Division of Neuropathology, University of California, San Francisco, San Francisco, California
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50
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Jayaram S, Balakrishnan L, Singh M, Zabihi A, Ganesh RA, Mangalaparthi KK, Sonpatki P, Gupta MK, Amaresha CB, Prasad K, Mariswamappa K, Pillai S, Lakshmikantha A, Shah N, Sirdeshmukh R. Identification of a Novel Splice Variant of Neural Cell Adhesion Molecule in Glioblastoma Through Proteogenomics Analysis. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2019; 22:437-448. [PMID: 29927716 DOI: 10.1089/omi.2017.0220] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Splice variants are known to be important in the pathophysiology of tumors, including the brain cancers. We applied a proteogenomics pipeline to identify splice variants in glioblastoma (GBM, grade IV glioma), a highly malignant brain tumor, using in-house generated mass spectrometric proteomic data and public domain RNASeq dataset. Our analysis led to the identification of a novel exon that maps to the long isoform of Neural cell adhesion molecule 1 (NCAM1), expressed on the surface of glial cells and neurons, important for cell adhesion and cell signaling. The presence of the novel exon is supported with the identification of five peptides spanning it. Additional peptides were also detected in sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) gel separated proteins from GBM patient tissue, underscoring the presence of the novel peptides in the intact brain protein. The novel exon was detected in the RNASeq dataset in 18 of 25 GBM samples and separately validated in additional 10 GBM tumor tissues using quantitative real-time-polymerase chain reaction (qRT-PCR). Both transcriptomic and proteomic data indicate downregulation of NCAM1, including the novel variant, in GBM. Domain analysis of the novel NCAM1 sequence indicates that the insertion of the novel exon contributes extra low-complexity region in the protein that may be important for protein-protein interactions and hence for cell signaling associated with tumor development. Taken together, the novel NCAM1 variant reported in this study exemplifies the importance of future multiomics research and systems biology applications in GBM.
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Affiliation(s)
- Savita Jayaram
- 1 Institute of Bioinformatics , International Tech Park, Bangalore, India .,2 Manipal Academy of Higher Education , Manipal, India
| | - Lavanya Balakrishnan
- 3 Mazumdar Shaw Center for Translational Research , Narayana Hrudayalaya Health City, Bangalore, India
| | - Manika Singh
- 1 Institute of Bioinformatics , International Tech Park, Bangalore, India .,4 Amrita School of Biotechnology , Amrita Vishwa Vidyapeetham, Kollam, India
| | - Azin Zabihi
- 3 Mazumdar Shaw Center for Translational Research , Narayana Hrudayalaya Health City, Bangalore, India
| | - Raksha A Ganesh
- 3 Mazumdar Shaw Center for Translational Research , Narayana Hrudayalaya Health City, Bangalore, India
| | - Kiran K Mangalaparthi
- 1 Institute of Bioinformatics , International Tech Park, Bangalore, India .,4 Amrita School of Biotechnology , Amrita Vishwa Vidyapeetham, Kollam, India
| | - Pranali Sonpatki
- 3 Mazumdar Shaw Center for Translational Research , Narayana Hrudayalaya Health City, Bangalore, India
| | - Manoj Kumar Gupta
- 1 Institute of Bioinformatics , International Tech Park, Bangalore, India .,2 Manipal Academy of Higher Education , Manipal, India
| | - Chaitra B Amaresha
- 3 Mazumdar Shaw Center for Translational Research , Narayana Hrudayalaya Health City, Bangalore, India
| | - Komal Prasad
- 5 Mazumdar Shaw Medical Center , Narayana Health City, Bangalore, India
| | | | - Shibu Pillai
- 5 Mazumdar Shaw Medical Center , Narayana Health City, Bangalore, India
| | | | - Nameeta Shah
- 3 Mazumdar Shaw Center for Translational Research , Narayana Hrudayalaya Health City, Bangalore, India
| | - Ravi Sirdeshmukh
- 1 Institute of Bioinformatics , International Tech Park, Bangalore, India .,2 Manipal Academy of Higher Education , Manipal, India .,3 Mazumdar Shaw Center for Translational Research , Narayana Hrudayalaya Health City, Bangalore, India
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