1
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Chen NN, Zhou KF, Miao Z, Chen YX, Cui JX, Su SW. Exosomes regulate doxorubicin resistance in breast cancer via miR-34a-5p/NOTCH1. Mol Cell Probes 2024; 76:101964. [PMID: 38810840 DOI: 10.1016/j.mcp.2024.101964] [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: 03/22/2023] [Revised: 04/22/2024] [Accepted: 05/26/2024] [Indexed: 05/31/2024]
Abstract
Breast cancer (BRCA) is the most common cancer among women. Adriamycin (ADR), also known as doxorubicin (Dox), is a commonly used chemotherapeutic agent for BRCA patients, however, the susceptibility of tumor cells to develop resistance to Dox has severely limited its clinical use. One new promising therapeutic target for breast cancer patients is exosomes. The objective of this study was to investigate the role of exosomes in regulating Dox resistance in BRCA. In this study, the exosomes from both types of cells were extracted by differential centrifugation. The effect of exosomes on drug resistance was assessed by laser confocal microscopy, MTT assay, and qRT-PCR. The miRNA was transfected into cells using Lipofectamine 2000, which was then evaluated for downstream genes and changes in drug resistance. Exosomes from MCF-7 cells (MCF-7/exo) and MCF-7/ADR cells (ADR/exo) were effectively extracted in this study. The ADR/exo was able to endocytose MCF-7 cells and make them considerably more resistant to Dox. Moreover, we observed a significant difference in miR-34a-5p expression in MCF-7/ADR and ADR/exo compared to MCF-7 and MCF-7/exo. Among the miR-34a-5p target genes, NOTCH1 displayed a clear change with a negative correlation. In addition, when miR-34a-5p expression was elevated in MCF-7/ADR cells, the expression of miR-34a-5p in ADR/exo was also enhanced alongside NOTCH1, implying that exosomes may carry miRNA into and out of cells and perform their function. In conclusion, exosomes can influence Dox resistance in breast cancer cells by regulating miR-34a-5p/NOTCH1. These findings provide novel insights for research into the causes of tumor resistance and the enhancement of chemotherapy efficacy in breast cancer.
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Affiliation(s)
- Nan-Nan Chen
- Department of Pharmacology, The Key Laboratory of Neural and Vascular Biology, Ministry of Education, The Key Laboratory of New Drug Pharmacology and Toxicology, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Ke-Fan Zhou
- Key Laboratory of Innovative Drug Research and Safety Evaluation, School of Pharmacy, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Zhuang Miao
- Department of Pharmacology, The Key Laboratory of Neural and Vascular Biology, Ministry of Education, The Key Laboratory of New Drug Pharmacology and Toxicology, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Yun-Xia Chen
- Key Laboratory of Innovative Drug Research and Safety Evaluation, School of Pharmacy, Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Jing-Xia Cui
- Key Laboratory of Innovative Drug Research and Safety Evaluation, School of Pharmacy, Hebei Medical University, Shijiazhuang, 050017, Hebei, China.
| | - Su-Wen Su
- Department of Pharmacology, The Key Laboratory of Neural and Vascular Biology, Ministry of Education, The Key Laboratory of New Drug Pharmacology and Toxicology, Hebei Medical University, Shijiazhuang, 050017, Hebei, China.
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2
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Kesler SR, Harrison RA, Schutz ADLT, Michener H, Bean P, Vallone V, Prinsloo S. Strength of spatial correlation between gray matter connectivity and patterns of proto-oncogene and neural network construction gene expression is associated with diffuse glioma survival. Front Neurol 2024; 15:1345520. [PMID: 38601343 PMCID: PMC11004301 DOI: 10.3389/fneur.2024.1345520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 03/14/2024] [Indexed: 04/12/2024] Open
Abstract
Introduction Like other forms of neuropathology, gliomas appear to spread along neural pathways. Accordingly, our group and others have previously shown that brain network connectivity is highly predictive of glioma survival. In this study, we aimed to examine the molecular mechanisms of this relationship via imaging transcriptomics. Methods We retrospectively obtained presurgical, T1-weighted MRI datasets from 669 adult patients, newly diagnosed with diffuse glioma. We measured brain connectivity using gray matter networks and coregistered these data with a transcriptomic brain atlas to determine the spatial co-localization between brain connectivity and expression patterns for 14 proto-oncogenes and 3 neural network construction genes. Results We found that all 17 genes were significantly co-localized with brain connectivity (p < 0.03, corrected). The strength of co-localization was highly predictive of overall survival in a cross-validated Cox Proportional Hazards model (mean area under the curve, AUC = 0.68 +/- 0.01) and significantly (p < 0.001) more so for a random forest survival model (mean AUC = 0.97 +/- 0.06). Bayesian network analysis demonstrated direct and indirect causal relationships among gene-brain co-localizations and survival. Gene ontology analysis showed that metabolic processes were overexpressed when spatial co-localization between brain connectivity and gene transcription was highest (p < 0.001). Drug-gene interaction analysis identified 84 potential candidate therapies based on our findings. Discussion Our findings provide novel insights regarding how gene-brain connectivity interactions may affect glioma survival.
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Affiliation(s)
- Shelli R. Kesler
- Division of Adult Health, School of Nursing, The University of Texas at Austin, Austin, TX, United States
| | - Rebecca A. Harrison
- Division of Neurology, BC Cancer, The University of British Columbia, Vancouver, BC, Canada
| | - Alexa De La Torre Schutz
- Division of Adult Health, School of Nursing, The University of Texas at Austin, Austin, TX, United States
| | - Hayley Michener
- Department of Neurosurgery, MD Anderson Cancer Center, Houston, TX, United States
| | - Paris Bean
- Department of Neurosurgery, MD Anderson Cancer Center, Houston, TX, United States
| | - Veronica Vallone
- Department of Neurosurgery, MD Anderson Cancer Center, Houston, TX, United States
| | - Sarah Prinsloo
- Department of Neurosurgery, MD Anderson Cancer Center, Houston, TX, United States
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3
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Kosianova А, Pak O, Bryukhovetskiy I. Regulation of cancer stem cells and immunotherapy of glioblastoma (Review). Biomed Rep 2024; 20:24. [PMID: 38170016 PMCID: PMC10758921 DOI: 10.3892/br.2023.1712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 11/24/2023] [Indexed: 01/05/2024] Open
Abstract
Glioblastoma (GB) is one of the most adverse diagnoses in oncology. Complex current treatment results in a median survival of 15 months. Resistance to treatment is associated with the presence of cancer stem cells (CSCs). The present review aimed to analyze the mechanisms of CSC plasticity, showing the particular role of β-catenin in regulating vital functions of CSCs, and to describe the molecular mechanisms of Wnt-independent increase of β-catenin levels, which is influenced by the local microenvironment of CSCs. The present review also analyzed the reasons for the low effectiveness of using medication in the regulation of CSCs, and proposed the development of immunotherapy scenarios with tumor cell vaccines, containing heterogenous cancer cells able of producing a multidirectional antineoplastic immune response. Additionally, the possibility of managing lymphopenia by transplanting hematopoietic stem cells from a healthy sibling and using clofazimine or other repurposed drugs that reduce β-catenin concentration in CSCs was discussed in the present study.
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Affiliation(s)
- Аleksandra Kosianova
- Medical Center, School of Medicine and Life Science, Far Eastern Federal University, Vladivostok 690091, Russian Federation
| | - Oleg Pak
- Medical Center, School of Medicine and Life Science, Far Eastern Federal University, Vladivostok 690091, Russian Federation
| | - Igor Bryukhovetskiy
- Medical Center, School of Medicine and Life Science, Far Eastern Federal University, Vladivostok 690091, Russian Federation
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4
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Kesler SR, Harrison RA, Schultz ADLT, Michener H, Bean P, Vallone V, Prinsloo S. Strength of spatial correlation between structural brain network connectivity and brain-wide patterns of proto-oncogene and neural network construction gene expression is associated with diffuse glioma survival. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.27.23299085. [PMID: 38076940 PMCID: PMC10705651 DOI: 10.1101/2023.11.27.23299085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Like other forms of neuropathology, gliomas appear to spread along neural pathways. Accordingly, our group and others have previously shown that brain network connectivity is highly predictive of glioma survival. In this study, we aimed to examine the molecular mechanisms of this relationship via imaging transcriptomics. We retrospectively obtained presurgical, T1-weighted MRI datasets from 669 adult patients, newly diagnosed with diffuse glioma. We measured brain connectivity using gray matter networks and coregistered these data with a transcriptomic brain atlas to determine the spatial co-localization between brain connectivity and expression patterns for 14 proto-oncogenes and 3 neural network construction genes. We found that all 17 genes were significantly co-localized with brain connectivity (p < 0.03, corrected). The strength of co-localization was highly predictive of overall survival in a cross-validated Cox Proportional Hazards model (mean area under the curve, AUC = 0.68 +/- 0.01) and significantly (p < 0.001) more so for a random forest survival model (mean AUC = 0.97 +/- 0.06). Bayesian network analysis demonstrated direct and indirect causal relationships among gene-brain co-localizations and survival. Gene ontology analysis showed that metabolic processes were overexpressed when spatial co-localization between brain connectivity and gene transcription was highest (p < 0.001). Drug-gene interaction analysis identified 84 potential candidate therapies based on our findings. Our findings provide novel insights regarding how gene-brain connectivity interactions may affect glioma survival.
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Affiliation(s)
- Shelli R Kesler
- Division of Adult Health, School of Nursing, The University of Texas at Austin, Austin, TX USA
| | - Rebecca A Harrison
- BC Cancer, Division of Neurology, University of British Columbia, Vancouver, BC, Canada
| | | | - Hayley Michener
- Department of Neurosurgery, MD Anderson Cancer Center, Houston, TX, USA
| | - Paris Bean
- Department of Neurosurgery, MD Anderson Cancer Center, Houston, TX, USA
| | - Veronica Vallone
- Department of Neurosurgery, MD Anderson Cancer Center, Houston, TX, USA
| | - Sarah Prinsloo
- Department of Neurosurgery, MD Anderson Cancer Center, Houston, TX, USA
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5
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Kumari S, Gupta R, Ambasta RK, Kumar P. Multiple therapeutic approaches of glioblastoma multiforme: From terminal to therapy. Biochim Biophys Acta Rev Cancer 2023; 1878:188913. [PMID: 37182666 DOI: 10.1016/j.bbcan.2023.188913] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 04/24/2023] [Accepted: 05/10/2023] [Indexed: 05/16/2023]
Abstract
Glioblastoma multiforme (GBM) is an aggressive brain cancer showing poor prognosis. Currently, treatment methods of GBM are limited with adverse outcomes and low survival rate. Thus, advancements in the treatment of GBM are of utmost importance, which can be achieved in recent decades. However, despite aggressive initial treatment, most patients develop recurrent diseases, and the overall survival rate of patients is impossible to achieve. Currently, researchers across the globe target signaling events along with tumor microenvironment (TME) through different drug molecules to inhibit the progression of GBM, but clinically they failed to demonstrate much success. Herein, we discuss the therapeutic targets and signaling cascades along with the role of the organoids model in GBM research. Moreover, we systematically review the traditional and emerging therapeutic strategies in GBM. In addition, we discuss the implications of nanotechnologies, AI, and combinatorial approach to enhance GBM therapeutics.
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Affiliation(s)
- Smita Kumari
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India
| | - Rohan Gupta
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India
| | - Rashmi K Ambasta
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India
| | - Pravir Kumar
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India.
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6
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Ahmed T. Biomaterial-based in vitro 3D modeling of glioblastoma multiforme. CANCER PATHOGENESIS AND THERAPY 2023; 1:177-194. [PMID: 38327839 PMCID: PMC10846340 DOI: 10.1016/j.cpt.2023.01.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/24/2022] [Accepted: 01/04/2023] [Indexed: 02/09/2024]
Abstract
Adult-onset brain cancers, such as glioblastomas, are particularly lethal. People with glioblastoma multiforme (GBM) do not anticipate living for more than 15 months if there is no cure. The results of conventional treatments over the past 20 years have been underwhelming. Tumor aggressiveness, location, and lack of systemic therapies that can penetrate the blood-brain barrier are all contributing factors. For GBM treatments that appear promising in preclinical studies, there is a considerable rate of failure in phase I and II clinical trials. Unfortunately, access becomes impossible due to the intricate architecture of tumors. In vitro, bioengineered cancer models are currently being used by researchers to study disease development, test novel therapies, and advance specialized medications. Many different techniques for creating in vitro systems have arisen over the past few decades due to developments in cellular and tissue engineering. Later-stage research may yield better results if in vitro models that resemble brain tissue and the blood-brain barrier are used. With the use of 3D preclinical models made available by biomaterials, researchers have discovered that it is possible to overcome these limitations. Innovative in vitro models for the treatment of GBM are possible using biomaterials and novel drug carriers. This review discusses the benefits and drawbacks of 3D in vitro glioblastoma modeling systems.
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Affiliation(s)
- Tanvir Ahmed
- Department of Pharmaceutical Sciences, North South University, Bashundhara, Dhaka, 1229, Bangladesh
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7
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Toledo B, González-Titos A, Hernández-Camarero P, Perán M. A Brief Review on Chemoresistance; Targeting Cancer Stem Cells as an Alternative Approach. Int J Mol Sci 2023; 24:ijms24054487. [PMID: 36901917 PMCID: PMC10003376 DOI: 10.3390/ijms24054487] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 02/20/2023] [Accepted: 02/21/2023] [Indexed: 03/02/2023] Open
Abstract
The acquisition of resistance to traditional chemotherapy and the chemoresistant metastatic relapse of minimal residual disease both play a key role in the treatment failure and poor prognosis of cancer. Understanding how cancer cells overcome chemotherapy-induced cell death is critical to improve patient survival rate. Here, we briefly describe the technical approach directed at obtaining chemoresistant cell lines and we will focus on the main defense mechanisms against common chemotherapy triggers by tumor cells. Such as, the alteration of drug influx/efflux, the enhancement of drug metabolic neutralization, the improvement of DNA-repair mechanisms, the inhibition of apoptosis-related cell death, and the role of p53 and reactive oxygen species (ROS) levels in chemoresistance. Furthermore, we will focus on cancer stem cells (CSCs), the cell population that subsists after chemotherapy, increasing drug resistance by different processes such as epithelial-mesenchymal transition (EMT), an enhanced DNA repair machinery, and the capacity to avoid apoptosis mediated by BCL2 family proteins, such as BCL-XL, and the flexibility of their metabolism. Finally, we will review the latest approaches aimed at decreasing CSCs. Nevertheless, the development of long-term therapies to manage and control CSCs populations within the tumors is still necessary.
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Affiliation(s)
- Belén Toledo
- Department of Health Sciences, University of Jaén, Campus de las Lagunillas, 23071 Jaen, Spain
| | - Aitor González-Titos
- Department of Health Sciences, University of Jaén, Campus de las Lagunillas, 23071 Jaen, Spain
| | - Pablo Hernández-Camarero
- Department of Health Sciences, University of Jaén, Campus de las Lagunillas, 23071 Jaen, Spain
- Correspondence: (P.H.-C.); (M.P.)
| | - Macarena Perán
- Department of Health Sciences, University of Jaén, Campus de las Lagunillas, 23071 Jaen, Spain
- Excellence Research Unit “Modeling Nature” (MNat), University of Granada, 18016 Granada, Spain
- Biopathology and Regenerative Medicine, Institute (IBIMER), University of Granada, Centre for Biomedical Research (CIBM), 18071 Granada, Spain
- Correspondence: (P.H.-C.); (M.P.)
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8
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Zhao S, Li J, Zhang H, Qi L, Du Y, Kogiso M, Braun FK, Xiao S, Huang Y, Li J, Teo WY, Lindsay H, Baxter P, Su JMF, Adesina A, Laczik M, Genevini P, Veillard AC, Schvartzman S, Berguet G, Ding SR, Du L, Stephan C, Yang J, Davies PJA, Lu X, Chintagumpala M, Parsons DW, Perlaky L, Xia YF, Man TK, Huang Y, Sun D, Li XN. Epigenetic Alterations of Repeated Relapses in Patient-matched Childhood Ependymomas. Nat Commun 2022; 13:6689. [PMID: 36335125 PMCID: PMC9637194 DOI: 10.1038/s41467-022-34514-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 10/27/2022] [Indexed: 11/07/2022] Open
Abstract
Recurrence is frequent in pediatric ependymoma (EPN). Our longitudinal integrated analysis of 30 patient-matched repeated relapses (3.67 ± 1.76 times) over 13 years (5.8 ± 3.8) reveals stable molecular subtypes (RELA and PFA) and convergent DNA methylation reprogramming during serial relapses accompanied by increased orthotopic patient derived xenograft (PDX) (13/27) formation in the late recurrences. A set of differentially methylated CpGs (DMCs) and DNA methylation regions (DMRs) are found to persist in primary and relapse tumors (potential driver DMCs) and are acquired exclusively in the relapses (potential booster DMCs). Integrating with RNAseq reveals differentially expressed genes regulated by potential driver DMRs (CACNA1H, SLC12A7, RARA in RELA and HSPB8, GMPR, ITGB4 in PFA) and potential booster DMRs (PLEKHG1 in RELA and NOTCH, EPHA2, SUFU, FOXJ1 in PFA tumors). DMCs predicators of relapse are also identified in the primary tumors. This study provides a high-resolution epigenetic roadmap of serial EPN relapses and 13 orthotopic PDX models to facilitate biological and preclinical studies.
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Affiliation(s)
- Sibo Zhao
- grid.39382.330000 0001 2160 926XPre-clinical Neuro-oncology Research Program, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA ,grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA ,grid.413584.f0000 0004 0383 5679Jane and John Justin Neurosciences Center, Cook Children’s Medical Center, Fort Worth, TX 76104 USA ,grid.413584.f0000 0004 0383 5679Hematology and Oncology Center, Cook Children’s Medical Center, Fort Worth, TX 76104 USA
| | - Jia Li
- grid.264756.40000 0004 4687 2082Center for Epigenetics & Disease Prevention, Texas A&M University, Houston, TX 77030 USA ,grid.264756.40000 0004 4687 2082Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, TX 77030 USA ,grid.470124.4State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University; and Guangzhou Laboratory, Bioland, 510120 Guangzhou, Guangdong P. R. China
| | - Huiyuan Zhang
- grid.39382.330000 0001 2160 926XPre-clinical Neuro-oncology Research Program, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA ,grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA
| | - Lin Qi
- grid.39382.330000 0001 2160 926XPre-clinical Neuro-oncology Research Program, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA ,grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA ,grid.16753.360000 0001 2299 3507Program of Precision Medicine PDOX Modeling of Pediatric Tumors, Division of Hematology-Oncology, Neuro-Oncology & Stem Cell transplantation, Ann & Robert H. Lurie Children’s Hospital of Chicago; Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 USA
| | - Yuchen Du
- grid.39382.330000 0001 2160 926XPre-clinical Neuro-oncology Research Program, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA ,grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA ,grid.16753.360000 0001 2299 3507Program of Precision Medicine PDOX Modeling of Pediatric Tumors, Division of Hematology-Oncology, Neuro-Oncology & Stem Cell transplantation, Ann & Robert H. Lurie Children’s Hospital of Chicago; Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 USA
| | - Mari Kogiso
- grid.39382.330000 0001 2160 926XPre-clinical Neuro-oncology Research Program, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA ,grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA
| | - Frank K. Braun
- grid.39382.330000 0001 2160 926XPre-clinical Neuro-oncology Research Program, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA ,grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA
| | - Sophie Xiao
- grid.16753.360000 0001 2299 3507Program of Precision Medicine PDOX Modeling of Pediatric Tumors, Division of Hematology-Oncology, Neuro-Oncology & Stem Cell transplantation, Ann & Robert H. Lurie Children’s Hospital of Chicago; Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 USA
| | - Yulun Huang
- grid.39382.330000 0001 2160 926XPre-clinical Neuro-oncology Research Program, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA ,grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA ,grid.263761.70000 0001 0198 0694Department of Neurosurgery and Brain and Nerve Research Laboratory, the First Affiliated Hospital, and Department of Neurosurgery, Dushu Lake Hospital, Suzhou Medical College, Soochow University, 215007 Suzhou, P. R. China
| | - Jianfang Li
- grid.264756.40000 0004 4687 2082Center for Epigenetics & Disease Prevention, Texas A&M University, Houston, TX 77030 USA
| | - Wan-Yee Teo
- grid.410724.40000 0004 0620 9745Humphrey Oei Institute of Cancer Research, National Cancer Center Singapore, Singapore, 169610 Singapore ,grid.428397.30000 0004 0385 0924Cancer and Stem Cell Biology Program, Duke-NUS Medical School Singapore, Singapore, Singapore ,grid.414963.d0000 0000 8958 3388KK Women’s & Children’s Hospital Singapore, Singapore, Singapore ,grid.418812.60000 0004 0620 9243Institute of Molecular and Cell Biology, A*STAR, Singapore, Singapore
| | - Holly Lindsay
- grid.39382.330000 0001 2160 926XPre-clinical Neuro-oncology Research Program, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA ,grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA
| | - Patricia Baxter
- grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA
| | - Jack M. F. Su
- grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA
| | - Adekunle Adesina
- grid.39382.330000 0001 2160 926XDepartment of Pathology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA
| | - Miklós Laczik
- grid.424287.f0000 0004 0555 845XEpigenetic Services, Diagenode, Liège Belgium
| | - Paola Genevini
- grid.424287.f0000 0004 0555 845XEpigenetic Services, Diagenode, Liège Belgium
| | | | - Sol Schvartzman
- grid.424287.f0000 0004 0555 845XEpigenetic Services, Diagenode, Liège Belgium
| | - Geoffrey Berguet
- grid.424287.f0000 0004 0555 845XEpigenetic Services, Diagenode, Liège Belgium
| | - Shi-Rong Ding
- grid.488530.20000 0004 1803 6191State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine; Department of Radiation, Sun Yat-sen University Cancer Center, 510060 Guangzhou, Guangdong P. R. China
| | - Liping Du
- grid.16753.360000 0001 2299 3507Clinical Cytogenetic Laboratory, Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 USA
| | - Clifford Stephan
- grid.264756.40000 0004 4687 2082Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, TX 77030 USA
| | - Jianhua Yang
- grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA
| | - Peter J. A. Davies
- grid.264756.40000 0004 4687 2082Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, TX 77030 USA
| | - Xinyan Lu
- grid.16753.360000 0001 2299 3507Clinical Cytogenetic Laboratory, Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 USA
| | - Murali Chintagumpala
- grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA
| | - Donald William Parsons
- grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA
| | - Laszlo Perlaky
- grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA
| | - Yun-Fei Xia
- grid.488530.20000 0004 1803 6191State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine; Department of Radiation, Sun Yat-sen University Cancer Center, 510060 Guangzhou, Guangdong P. R. China
| | - Tsz-Kwong Man
- grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA
| | - Yun Huang
- grid.264756.40000 0004 4687 2082Center for Epigenetics & Disease Prevention, Texas A&M University, Houston, TX 77030 USA
| | - Deqiang Sun
- grid.264756.40000 0004 4687 2082Center for Epigenetics & Disease Prevention, Texas A&M University, Houston, TX 77030 USA
| | - Xiao-Nan Li
- grid.39382.330000 0001 2160 926XPre-clinical Neuro-oncology Research Program, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA ,grid.39382.330000 0001 2160 926XTexas Children’s Cancer Center, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX 77030 USA ,grid.16753.360000 0001 2299 3507Program of Precision Medicine PDOX Modeling of Pediatric Tumors, Division of Hematology-Oncology, Neuro-Oncology & Stem Cell transplantation, Ann & Robert H. Lurie Children’s Hospital of Chicago; Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 USA
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9
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D’Amico M, De Amicis F. Aberrant Notch signaling in gliomas: a potential landscape of actionable converging targets for combination approach in therapies resistance. CANCER DRUG RESISTANCE (ALHAMBRA, CALIF.) 2022; 5:939-953. [PMID: 36627893 PMCID: PMC9771760 DOI: 10.20517/cdr.2022.46] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 06/06/2022] [Accepted: 09/02/2022] [Indexed: 11/06/2022]
Abstract
The current therapeutic protocols and prognosis of gliomas still depend on clinicopathologic and radiographic characteristics. For high-grade gliomas, the standard of care is resection followed by radiotherapy plus temozolomide chemotherapy. However, treatment resistance develops due to different mechanisms, among which is the dynamic interplay between the tumor and its microenvironment. Different signaling pathways cause the proliferation of so-called glioma stem cells, a minor cancer cell population with stem cell-like characteristics and aggressive phenotype. In the last decades, numerous studies have indicated that Notch is a crucial pathway that maintains the characteristics of resistant glioma stem cells. Data obtained from preclinical models indicate that downregulation of the Notch pathway could induce multifaceted drug sensitivity, acting on the expression of drug-transporter proteins, inducing epithelial-mesenchymal transition, and shaping the tumor microenvironment. This review provides a brief overview of the published data supporting the roles of Notch in drug resistance and demonstrates how potential novel strategies targeting Notch could become an efficacious action to improve the therapy of high-grade glioma to overcome drug resistance.
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Affiliation(s)
- Maria D’Amico
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Via P. Bucci, Rende 87036, Italy
| | - Francesca De Amicis
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Via P. Bucci, Rende 87036, Italy.,Health Center, University of Calabria, Via P. Bucci, Rende 87036, Italy.,Correspondence to: Prof. Francesca De Amicis, Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Via P. Bucci, Rende 87036, Italy. E-mail:
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10
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Manni W, Min W. Signaling pathways in the regulation of cancer stem cells and associated targeted therapy. MedComm (Beijing) 2022; 3:e176. [PMID: 36226253 PMCID: PMC9534377 DOI: 10.1002/mco2.176] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 08/20/2022] [Accepted: 08/22/2022] [Indexed: 11/07/2022] Open
Abstract
Cancer stem cells (CSCs) are defined as a subpopulation of malignant tumor cells with selective capacities for tumor initiation, self-renewal, metastasis, and unlimited growth into bulks, which are believed as a major cause of progressive tumor phenotypes, including recurrence, metastasis, and treatment failure. A number of signaling pathways are involved in the maintenance of stem cell properties and survival of CSCs, including well-established intrinsic pathways, such as the Notch, Wnt, and Hedgehog signaling, and extrinsic pathways, such as the vascular microenvironment and tumor-associated immune cells. There is also intricate crosstalk between these signal cascades and other oncogenic pathways. Thus, targeting pathway molecules that regulate CSCs provides a new option for the treatment of therapy-resistant or -refractory tumors. These treatments include small molecule inhibitors, monoclonal antibodies that target key signaling in CSCs, as well as CSC-directed immunotherapies that harness the immune systems to target CSCs. This review aims to provide an overview of the regulating networks and their immune interactions involved in CSC development. We also address the update on the development of CSC-directed therapeutics, with a special focus on those with application approval or under clinical evaluation.
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Affiliation(s)
- Wang Manni
- Department of Biotherapy, Cancer Center, West China HospitalSichuan UniversityChengduP. R. China
| | - Wu Min
- Department of Biomedical Sciences, School of Medicine and Health SciencesUniversity of North DakotaGrand ForksNorth DakotaUSA
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11
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Verdugo E, Puerto I, Medina MÁ. An update on the molecular biology of glioblastoma, with clinical implications and progress in its treatment. CANCER COMMUNICATIONS (LONDON, ENGLAND) 2022; 42:1083-1111. [PMID: 36129048 DOI: 10.1002/cac2.12361] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 08/07/2022] [Accepted: 09/05/2022] [Indexed: 11/08/2022]
Abstract
Glioblastoma multiforme (GBM) is the most aggressive and common malignant primary brain tumor. Patients with GBM often have poor prognoses, with a median survival of ∼15 months. Enhanced understanding of the molecular biology of central nervous system tumors has led to modifications in their classifications, the most recent of which classified these tumors into new categories and made some changes in their nomenclature and grading system. This review aims to give a panoramic view of the last 3 years' findings in glioblastoma characterization, its heterogeneity, and current advances in its treatment. Several molecular parameters have been used to achieve an accurate and personalized characterization of glioblastoma in patients, including epigenetic, genetic, transcriptomic and metabolic features, as well as age- and sex-related patterns and the involvement of several noncoding RNAs in glioblastoma progression. Astrocyte-like neural stem cells and outer radial glial-like cells from the subventricular zone have been proposed as agents involved in GBM of IDH-wildtype origin, but this remains controversial. Glioblastoma metabolism is characterized by upregulation of the PI3K/Akt/mTOR signaling pathway, promotion of the glycolytic flux, maintenance of lipid storage, and other features. This metabolism also contributes to glioblastoma's resistance to conventional therapies. Tumor heterogeneity, a hallmark of GBM, has been shown to affect the genetic expression, modulation of metabolic pathways, and immune system evasion. GBM's aggressive invasion potential is modulated by cell-to-cell crosstalk within the tumor microenvironment and altered expressions of specific genes, such as ANXA2, GBP2, FN1, PHIP, and GLUT3. Nevertheless, the rising number of active clinical trials illustrates the efforts to identify new targets and drugs to treat this malignancy. Immunotherapy is still relevant for research purposes, given the amount of ongoing clinical trials based on this strategy to treat GBM, and neoantigen and nucleic acid-based vaccines are gaining importance due to their antitumoral activity by inducing the immune response. Furthermore, there are clinical trials focused on the PI3K/Akt/mTOR axis, angiogenesis, and tumor heterogeneity for developing molecular-targeted therapies against GBM. Other strategies, such as nanodelivery and computational models, may improve the drug pharmacokinetics and the prognosis of patients with GBM.
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Affiliation(s)
- Elena Verdugo
- Department of Molecular Biology and Biochemistry, University of Málaga, Málaga, Málaga, E-29071, Spain
| | - Iker Puerto
- Department of Molecular Biology and Biochemistry, University of Málaga, Málaga, Málaga, E-29071, Spain
| | - Miguel Ángel Medina
- Department of Molecular Biology and Biochemistry, University of Málaga, Málaga, Málaga, E-29071, Spain.,Biomedical Research Institute of Málaga (IBIMA-Plataforma Bionand), Málaga, Málaga, E-29071, Spain.,Spanish Biomedical Research Network Center for Rare Diseases (CIBERER), Spanish Health Institute Carlos III (ISCIII), Málaga, Málaga, E-29071, Spain
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Hersh AM, Gaitsch H, Alomari S, Lubelski D, Tyler BM. Molecular Pathways and Genomic Landscape of Glioblastoma Stem Cells: Opportunities for Targeted Therapy. Cancers (Basel) 2022; 14:3743. [PMID: 35954407 PMCID: PMC9367289 DOI: 10.3390/cancers14153743] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 07/26/2022] [Accepted: 07/27/2022] [Indexed: 02/01/2023] Open
Abstract
Glioblastoma (GBM) is an aggressive tumor of the central nervous system categorized by the World Health Organization as a Grade 4 astrocytoma. Despite treatment with surgical resection, adjuvant chemotherapy, and radiation therapy, outcomes remain poor, with a median survival of only 14-16 months. Although tumor regression is often observed initially after treatment, long-term recurrence or progression invariably occurs. Tumor growth, invasion, and recurrence is mediated by a unique population of glioblastoma stem cells (GSCs). Their high mutation rate and dysregulated transcriptional landscape augment their resistance to conventional chemotherapy and radiation therapy, explaining the poor outcomes observed in patients. Consequently, GSCs have emerged as targets of interest in new treatment paradigms. Here, we review the unique properties of GSCs, including their interactions with the hypoxic microenvironment that drives their proliferation. We discuss vital signaling pathways in GSCs that mediate stemness, self-renewal, proliferation, and invasion, including the Notch, epidermal growth factor receptor, phosphatidylinositol 3-kinase/Akt, sonic hedgehog, transforming growth factor beta, Wnt, signal transducer and activator of transcription 3, and inhibitors of differentiation pathways. We also review epigenomic changes in GSCs that influence their transcriptional state, including DNA methylation, histone methylation and acetylation, and miRNA expression. The constituent molecular components of the signaling pathways and epigenomic regulators represent potential sites for targeted therapy, and representative examples of inhibitory molecules and pharmaceuticals are discussed. Continued investigation into the molecular pathways of GSCs and candidate therapeutics is needed to discover new effective treatments for GBM and improve survival.
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Affiliation(s)
- Andrew M. Hersh
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (A.M.H.); (H.G.); (S.A.); (D.L.)
| | - Hallie Gaitsch
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (A.M.H.); (H.G.); (S.A.); (D.L.)
- NIH Oxford-Cambridge Scholars Program, Wellcome—MRC Cambridge Stem Cell Institute and Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 1TN, UK
| | - Safwan Alomari
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (A.M.H.); (H.G.); (S.A.); (D.L.)
| | - Daniel Lubelski
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (A.M.H.); (H.G.); (S.A.); (D.L.)
| | - Betty M. Tyler
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (A.M.H.); (H.G.); (S.A.); (D.L.)
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Wu H, Wei M, Li Y, Ma Q, Zhang H. Research Progress on the Regulation Mechanism of Key Signal Pathways Affecting the Prognosis of Glioma. Front Mol Neurosci 2022; 15. [DOI: https:/doi.org/10.3389/fnmol.2022.910543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023] Open
Abstract
As is known to all, glioma, a global difficult problem, has a high malignant degree, high recurrence rate and poor prognosis. We analyzed and summarized signal pathway of the Hippo/YAP, PI3K/AKT/mTOR, miRNA, WNT/β-catenin, Notch, Hedgehog, TGF-β, TCS/mTORC1 signal pathway, JAK/STAT signal pathway, MAPK signaling pathway, the relationship between BBB and signal pathways and the mechanism of key enzymes in glioma. It is concluded that Yap1 inhibitor may become an effective target for the treatment of glioma in the near future through efforts of generation after generation. Inhibiting PI3K/Akt/mTOR, Shh, Wnt/β-Catenin, and HIF-1α can reduce the migration ability and drug resistance of tumor cells to improve the prognosis of glioma. The analysis shows that Notch1 and Sox2 have a positive feedback regulation mechanism, and Notch4 predicts the malignant degree of glioma. In this way, notch cannot only be treated for glioma stem cells in clinic, but also be used as an evaluation index to evaluate the prognosis, and provide an exploratory attempt for the direction of glioma treatment. MiRNA plays an important role in diagnosis, and in the treatment of glioma, VPS25, KCNQ1OT1, KB-1460A1.5, and CKAP4 are promising prognostic indicators and a potential therapeutic targets for glioma, meanwhile, Rheb is also a potent activator of Signaling cross-talk etc. It is believed that these studies will help us to have a deeper understanding of glioma, so that we will find new and better treatment schemes to gradually conquer the problem of glioma.
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Wu H, Wei M, Li Y, Ma Q, Zhang H. Research Progress on the Regulation Mechanism of Key Signal Pathways Affecting the Prognosis of Glioma. Front Mol Neurosci 2022; 15:910543. [PMID: 35935338 PMCID: PMC9354928 DOI: 10.3389/fnmol.2022.910543] [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: 04/01/2022] [Accepted: 05/30/2022] [Indexed: 11/17/2022] Open
Abstract
As is known to all, glioma, a global difficult problem, has a high malignant degree, high recurrence rate and poor prognosis. We analyzed and summarized signal pathway of the Hippo/YAP, PI3K/AKT/mTOR, miRNA, WNT/β-catenin, Notch, Hedgehog, TGF-β, TCS/mTORC1 signal pathway, JAK/STAT signal pathway, MAPK signaling pathway, the relationship between BBB and signal pathways and the mechanism of key enzymes in glioma. It is concluded that Yap1 inhibitor may become an effective target for the treatment of glioma in the near future through efforts of generation after generation. Inhibiting PI3K/Akt/mTOR, Shh, Wnt/β-Catenin, and HIF-1α can reduce the migration ability and drug resistance of tumor cells to improve the prognosis of glioma. The analysis shows that Notch1 and Sox2 have a positive feedback regulation mechanism, and Notch4 predicts the malignant degree of glioma. In this way, notch cannot only be treated for glioma stem cells in clinic, but also be used as an evaluation index to evaluate the prognosis, and provide an exploratory attempt for the direction of glioma treatment. MiRNA plays an important role in diagnosis, and in the treatment of glioma, VPS25, KCNQ1OT1, KB-1460A1.5, and CKAP4 are promising prognostic indicators and a potential therapeutic targets for glioma, meanwhile, Rheb is also a potent activator of Signaling cross-talk etc. It is believed that these studies will help us to have a deeper understanding of glioma, so that we will find new and better treatment schemes to gradually conquer the problem of glioma.
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Affiliation(s)
- Hao Wu
- Graduate School of Dalian Medical University, Dalian, China
- Department of Neurosurgery, The Yangzhou School of Clinical Medicine of Dalian Medical University, Dalian, China
| | - Min Wei
- Graduate School of Dalian Medical University, Dalian, China
- Department of Neurosurgery, The Yangzhou School of Clinical Medicine of Dalian Medical University, Dalian, China
| | - Yuping Li
- Department of Neurosurgery, The Yangzhou School of Clinical Medicine of Dalian Medical University, Dalian, China
| | - Qiang Ma
- Department of Neurosurgery, The Yangzhou School of Clinical Medicine of Dalian Medical University, Dalian, China
| | - Hengzhu Zhang
- Graduate School of Dalian Medical University, Dalian, China
- Department of Neurosurgery, The Yangzhou School of Clinical Medicine of Dalian Medical University, Dalian, China
- *Correspondence: Hengzhu Zhang,
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Liu Y, Fang B, Feng X, Jiang Y, Zeng Y, Jiang J. Mechanism of IDH1-R132H mutation in T cell acute lymphoblastic leukemia mouse model via the Notch1 pathway. Tissue Cell 2022; 74:101674. [PMID: 34814054 DOI: 10.1016/j.tice.2021.101674] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 10/29/2021] [Accepted: 10/29/2021] [Indexed: 01/03/2023]
Abstract
T-cell acute lymphoblastic leukemia (T-ALL) is a clonal malignant disease. Isocitrate Dehydrogenase 1-R123 (IDH1-R132 H) is related to T-ALL progression. This study explored the role of IDH1-R132H in T-ALL. Molt-4 cells with IDH1-R132H mutation were constructed by retroviral transfection of IDH1-R132H and T-ALL xenotransplantation mouse model was established by injection of Molt-4 cells through the tail vein. Infiltration of the liver, spleen, and bone marrow and the percentage of CD45-positive T-ALL cells in them were detected. Cell proliferation, apoptosis, and invasion were evaluated after the intervention of Notch1, PTEN, or PI3K expression. The leukocyte number was increased, the spleen was enlarged, infiltration in bone marrow, spleen, and liver tissue was worsened and the percentage of hCD45-positive T-ALL cells was increased by IDH1-R132H mutation, which promoted T-ALL deterioration. IDH1-R132H mutation promoted proliferation, invasion, and inhibited apoptosis of T-ALL cells, which were reversed by inhibition of Notch1. IDH1-R132H mutation upregulated HES1 expression and downregulated PTEN expression by activating the Notch1 pathway, while inhibition of Notch1 reversed these changes. PTEN inhibited the PI3K/AKT pathway activation. PTEN overexpression reversed IDH1-R132H mutation effect on promoting malignant behaviors of T-ALL cells. IDH1-R132H mutation inhibited PTEN expression by activating the Notch1/HES1 pathway, activated the PI3K/AKT pathway, thus promoting malignant behaviors of T-ALL cells.
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Affiliation(s)
- Yonghua Liu
- Department of Hematology, The Sixth Affiliated Hospital of Wenzhou Medical University, No. 15, Dazhong Road, Liandu District, Lishui, Zhejiang 323000, China
| | - Bingmu Fang
- Department of Hematology, The Sixth Affiliated Hospital of Wenzhou Medical University, No. 15, Dazhong Road, Liandu District, Lishui, Zhejiang 323000, China
| | - Xiaoning Feng
- Department of Hematology, The Sixth Affiliated Hospital of Wenzhou Medical University, No. 15, Dazhong Road, Liandu District, Lishui, Zhejiang 323000, China
| | - Yu Jiang
- Department of Hematology, The Sixth Affiliated Hospital of Wenzhou Medical University, No. 15, Dazhong Road, Liandu District, Lishui, Zhejiang 323000, China
| | - Yuxiao Zeng
- Department of Hematology, The Sixth Affiliated Hospital of Wenzhou Medical University, No. 15, Dazhong Road, Liandu District, Lishui, Zhejiang 323000, China
| | - Jinhong Jiang
- Department of Hematology, The Sixth Affiliated Hospital of Wenzhou Medical University, No. 15, Dazhong Road, Liandu District, Lishui, Zhejiang 323000, China.
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Li G, Chen TW, Nickel AC, Muhammad S, Steiger HJ, Tzaridis T, Hänggi D, Zeidler R, Zhang W, Kahlert UD. Carbonic Anhydrase XII is a Clinically Significant, Molecular Tumor-Subtype Specific Therapeutic Target in Glioma with the Potential to Combat Invasion of Brain Tumor Cells. Onco Targets Ther 2021; 14:1707-1718. [PMID: 33692626 PMCID: PMC7939492 DOI: 10.2147/ott.s300623] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 02/05/2021] [Indexed: 12/15/2022] Open
Abstract
Background The metabolic enzyme carbonic anhydrase 12 (CA12/CAXII) emerges as a promising cancer therapeutic target with drug development projects underway. Previous reports proposed the relevance of CA12 in the context of glioma but are limited in patient data quantity, ignore ethnic diversity of patients or rely on semi-quantitative, thereby out of date, methodology. Moreover, little is known on the association of CA12 to brain tumor stemness or on the effect of anti-CAXII-directed monotherapies on glioma stem cells (GSCs), in particular their response regarding mesenchymal differentiation status. Methods We performed in silico analysis on three independent, large-scale patient datasets interrogating state of the art molecular diagnostics alongside clinical outcomes. We analyzed CAXII abundance on a collection of GSCs and functionally tested their response to exposure to CAXII blocking antibody 6A10. Results CA12 is highly expressed in glial tumors compared with normal tissue and predicts for poor clinical course of tumor patients. CA12 expression in glioblastoma significantly correlates with clinically established, molecular markers of IDH1WT DNA, WHO grade IV or absence of 1p/19q chromosome arm co-deletion. Furthermore, tumors with elevated CA12 cluster into the mesenchymal transcription subclass of the disease. CAXII abundance in different GSCs ranges from almost absent to high levels and does not correlate to stem cell marker CD133/AC133 cell surface expression. Moreover, aiming to pharmacologically block CAXII in our cells with antibody 6A10 caused significant functional response only in one of the tested GSCs models, featuring suppression of cell invasion accompanied by reduction of ZEB1 protein and other stem cell markers. Conclusion CA12 represents a clinically relevant and molecular brain tumor-subtype specific therapeutic target. Our correlative data from experimental and clinical samples does not support CA12/CAXII to be GSC specific. 6A10 possesses promising potential to impede the invasive capacity of glioma cells and supports the emerging concept that CAXII interacts with cancer EMT programs. However, further mechanistic studies are required to comprehensively assess the therapeutic potential of 6A10 and to identify different resistance mechanisms of GSCs.
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Affiliation(s)
- Guanzhang Li
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China
| | - Ting-Wei Chen
- Clinic for Neurosurgery, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Ann-Christin Nickel
- Clinic for Neurosurgery, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Sajjad Muhammad
- Clinic for Neurosurgery, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Hans-Jakob Steiger
- Clinic for Neurosurgery, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Theophilos Tzaridis
- Division of Clinical Neurooncology, Department of Neurology and Institute of Clinical Chemistry and Clinical Pharmacology, University of Bonn, Bonn, 53127, Germany.,Tumor Initiation & Maintenance Program, NCI-Designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, 92037, USA
| | - Daniel Hänggi
- Clinic for Neurosurgery, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Reinhard Zeidler
- Department for Otorhinolaryngology, Klinikum der Universität München (LMU), Munich, Germany
| | - Wei Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Chinese Glioma Genome Atlas Network (CGGA) and Asian Glioma Genome Atlas Network (AGGA), Beijing, People's Republic of China
| | - Ulf Dietrich Kahlert
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.,Clinic for Neurosurgery, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
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Different Calculation Strategies Are Congruent in Determining Chemotherapy Resistance of Brain Tumors In Vitro. Cells 2020; 9:cells9122689. [PMID: 33333810 PMCID: PMC7765228 DOI: 10.3390/cells9122689] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 12/08/2020] [Accepted: 12/09/2020] [Indexed: 01/14/2023] Open
Abstract
In cancer pharmacology, a drug candidate’s therapeutic potential is typically expressed as its ability to suppress cell growth. Different methods in assessing the cell phenotype and calculating the drug effect have been established. However, inconsistencies in drug response outcomes have been reported, and it is still unclear whether and to what extent the choice of data post-processing methods is responsible for that. Studies that systematically examine these questions are rare. Here, we compare three established calculation methods on a collection of nine in vitro models of glioblastoma, exposed to a library of 231 clinical drugs. The therapeutic potential of the drugs is determined on the growth curves, using growth inhibition 50% (GI50) and point-of-departure (PoD) as the criteria. An effect is detected on 36% of the drugs when relying on GI50 and on 27% when using PoD. For the area under the curve (AUC), a threshold of 9.5 or 10 could be set to discriminate between the drugs with and without an effect. GI50, PoD, and AUC are highly correlated. The ranking of substances by different criteria varies somewhat, but the group of the top 20 substances according to one criterion typically includes 17–19 top candidates according to another. In addition to generating preclinical values with high clinical potential, we present off-target appreciation of top substance predictions by interrogating the drug response data of non-cancer cells in our calculation technology.
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