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Jiang C, Zhang B, Jiang W, Liu P, Kong Y, Zhang J, Teng W. Metal ion stimulation-related gene signatures correlate with clinical and immunologic characteristics of glioma. Heliyon 2024; 10:e27189. [PMID: 38533032 PMCID: PMC10963200 DOI: 10.1016/j.heliyon.2024.e27189] [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: 11/03/2023] [Revised: 02/23/2024] [Accepted: 02/26/2024] [Indexed: 03/28/2024] Open
Abstract
Background Environmental factors serve as one of the important pathogenic factors for gliomas. Yet people focus only on the effect of electromagnetic radiation on its pathogenicity, while metals in the environment are neglected. This study aimed to investigate the relationship between metal ion stimulation and the clinical characteristics and immune status of GM patients. Methods Firstly, mRNA expression profiles of GM patients and normal subjects were obtained from Chinese GM Genome Atlas (CGGA) and Gene Expression Omnibus (GEO) to identify differentially expressed metal ion stimulation-related genes(DEMISGs). Secondly, two molecular subtypes were identified and validated based on these DEMISGs using consensus clustering. Diagnostic and prognostic models for GM were constructed after screening these features based on machine learning. Finally, supervised classification and unsupervised clustering were combined to classify and predict the grade of GM based on SHAP values. Results GM patients are divided into two different response states to metal ion stimulation, M1 and M2, which are related to the grade and IDH status of the GM. Six genes with diagnostic value were obtained: SLC30A3, CRHBP, SYT13, DLG2, CDK1, and WNT5A. The AUC in the external validation set was higher than 0.90. The SHAP value improves the performance of classification prediction. Conclusion The gene features associated with metal ion stimulation are related to the clinical and immune characteristics of transgenic patients. XGboost/LightGBM Kmeans has a higher classification prediction accuracy in predicting glioma grades compared to using purely supervised classification techniques.
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Affiliation(s)
- Chengzhi Jiang
- Shandong Second Medical University, Weifang, Shandong, 261053, People's Republic of China
| | - Binbin Zhang
- Qingdao Municipal Hospital (Group), Qingdao, Shandong, 266000, People's Republic of China
| | - Wenjuan Jiang
- Qingdao Municipal Hospital (Group), Qingdao, Shandong, 266000, People's Republic of China
| | - Pengtao Liu
- Shandong Second Medical University, Weifang, Shandong, 261053, People's Republic of China
| | - Yujia Kong
- Shandong Second Medical University, Weifang, Shandong, 261053, People's Republic of China
| | - Jianhua Zhang
- Jining Medical University, Jining, Shandong, 272067, People's Republic of China
| | - Wenjie Teng
- Shandong Second Medical University, Weifang, Shandong, 261053, People's Republic of China
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Sai S, Koto M, Yamada S. Basic and translational research on carbon-ion radiobiology. Am J Cancer Res 2023; 13:1-24. [PMID: 36777517 PMCID: PMC9906076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 11/16/2022] [Indexed: 02/14/2023] Open
Abstract
Carbon-ion beam irradiation (IR) has evident advantages over the conventional photon beams in treating tumors. It releases enormous amount of energy in a well-defined range with insignificant scatter in surrounding tissues based on well-localized energy deposition. Over the past 28 years, more than 14,000 patients with various types of cancer have been treated by carbon ion radiotherapy (CIRT) with promising results at QST. I have provided an overview of the basic and translational research on carbon-ion radiobiology including mechanisms underlying high linear energy transfer (LET) carbon-ion IR-induced cell death (apoptosis, autophagy, senescence, mitotic catastrophe etc.) and high radiocurability produced by carbon-ion beams in combination with DNA damaging drugs or with molecular-targeted drugs, micro-RNA therapeutics and immunotherapy. Additionally, I have focused on the application of these treatment in human cancer cells, especially cancer stem cells (CSCs). Finally, I have summarized the current studies on the application of basic carbon-ion beam IR according to the cancer types and clinical outcomes.
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Affiliation(s)
- Sei Sai
- Department of Charged Particle Therapy Research, Institute of Quantum Medical Science, National Institutes for Quantum Science and Technology (QST)Chiba, Japan
| | - Masashi Koto
- Department of Charged Particle Therapy Research, Institute of Quantum Medical Science, National Institutes for Quantum Science and Technology (QST)Chiba, Japan,QST Hospital, National Institutes for Quantum Science and Technology (QST)Chiba, Japan
| | - Shigeru Yamada
- QST Hospital, National Institutes for Quantum Science and Technology (QST)Chiba, Japan
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Effectiveness of Flattening-Filter-Free versus Flattened Beams in V79 and Glioblastoma Patient-Derived Stem-like Cells. Int J Mol Sci 2023; 24:ijms24021107. [PMID: 36674623 PMCID: PMC9861147 DOI: 10.3390/ijms24021107] [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: 11/03/2022] [Revised: 12/31/2022] [Accepted: 01/03/2023] [Indexed: 01/09/2023] Open
Abstract
Literature data on the administration of conventional high-dose beams with (FF) or without flattening filters (FFF) show conflicting results on biological effects at the cellular level. To contribute to this field, we irradiated V79 Chinese hamster lung fibroblasts and two patient-derived glioblastoma stem-like cell lines (GSCs-named #1 and #83) using a clinical 10 MV accelerator with FF (at 4 Gy/min) and FFF (at two dose rates 4 and 24 Gy/min). Cell killing and DNA damage induction, determined using the γ-H2AX assay, and gene expression were studied. No significant differences in the early survival of V79 cells were observed as a function of dose rates and FF or FFF beams, while a trend of reduction in late survival was observed at the highest dose rate with the FFF beam. GSCs showed similar survival levels as a function of dose rates, both delivered in the FFF regimen. The amount of DNA damage measured for both dose rates after 2 h was much higher in line #1 than in line #83, with statistically significant differences between the two dose rates only in line #83. The gene expression analysis of the two GSC lines indicates gene signatures mimicking the prognosis of glioblastoma (GBM) patients derived from a public database. Overall, the results support the current use of FFF and highlight the possibility of identifying patients with candidate gene signatures that could benefit from irradiation with FFF beams at a high dose rate.
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Abdul Rashid K, Ibrahim K, Wong JHD, Mohd Ramli N. Lipid Alterations in Glioma: A Systematic Review. Metabolites 2022; 12:metabo12121280. [PMID: 36557318 PMCID: PMC9783089 DOI: 10.3390/metabo12121280] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/08/2022] [Accepted: 11/29/2022] [Indexed: 12/23/2022] Open
Abstract
Gliomas are highly lethal tumours characterised by heterogeneous molecular features, producing various metabolic phenotypes leading to therapeutic resistance. Lipid metabolism reprogramming is predominant and has contributed to the metabolic plasticity in glioma. This systematic review aims to discover lipids alteration and their biological roles in glioma and the identification of potential lipids biomarker. This systematic review was conducted using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. Extensive research articles search for the last 10 years, from 2011 to 2021, were conducted using four electronic databases, including PubMed, Web of Science, CINAHL and ScienceDirect. A total of 158 research articles were included in this study. All studies reported significant lipid alteration between glioma and control groups, impacting glioma cell growth, proliferation, drug resistance, patients' survival and metastasis. Different lipids demonstrated different biological roles, either beneficial or detrimental effects on glioma. Notably, prostaglandin (PGE2), triacylglycerol (TG), phosphatidylcholine (PC), and sphingosine-1-phosphate play significant roles in glioma development. Conversely, the most prominent anti-carcinogenic lipids include docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA), and vitamin D3 have been reported to have detrimental effects on glioma cells. Furthermore, high lipid signals were detected at 0.9 and 1.3 ppm in high-grade glioma relative to low-grade glioma. This evidence shows that lipid metabolisms were significantly dysregulated in glioma. Concurrent with this knowledge, the discovery of specific lipid classes altered in glioma will accelerate the development of potential lipid biomarkers and enhance future glioma therapeutics.
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Affiliation(s)
- Khairunnisa Abdul Rashid
- Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia
| | - Kamariah Ibrahim
- Department of Biomedical Science, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia
| | - Jeannie Hsiu Ding Wong
- Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia
| | - Norlisah Mohd Ramli
- Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia
- Correspondence: ; Tel.: +60-379673238
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Glioblastoma Stem-Like Cells (GSCs) with Mesenchymal Signature: Lipid Profiles of Mobile Lipids Obtained with MRS before and after Radio/Chemical Treatments. Biomolecules 2022; 12:biom12081051. [PMID: 36008944 PMCID: PMC9405836 DOI: 10.3390/biom12081051] [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: 06/01/2022] [Revised: 07/15/2022] [Accepted: 07/26/2022] [Indexed: 02/05/2023] Open
Abstract
Glioblastoma is the most common and lethal primary malignant brain tumor in adults. Glioblastoma stem cells (GSCs) promote and are responsible for glioblastoma intratumoral heterogeneity and therapy resistance, due to their two main features: self-renewal and differentiation. Lipids have important biological and physiological functions that are critical for understanding the regulation and control of stem cell fate; lipid metabolism and related unsaturation levels play a possible role as the target of therapeutics to overcome glioblastoma radioresistance. This paper aimed at an in-depth analysis of 13 GSC mesenchymal (MES) lines, two subclones, and a stabilized glioblastoma line (T98G) by magnetic resonance spectroscopy (MRS). Particularly, 2D MRS was used to investigate lipid unsaturation behavior during growth in culture and after treatment with etomoxir and photon beams. MES lines, although belonging to the same genetic and metabolic cluster, showed metabolic heterogeneity when observed by MRS, focusing on lipid signals. Nonetheless, the observed unsaturation level stability for two representative lines after stressful treatments suggests unusual robustness of the unsaturation levels for each line, as a peculiar and intrinsic characteristic of GSCs.
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Pei Y, Ning R, Hu W, Li P, Zhang Z, Deng Y, Hong Z, Sun Y, Guo X, Zhang Q. Carbon Ion Radiotherapy Induce Metabolic Inhibition After Functional Imaging-Guided Simultaneous Integrated Boost for Prostate Cancer. Front Oncol 2022; 12:845583. [PMID: 35936669 PMCID: PMC9354483 DOI: 10.3389/fonc.2022.845583] [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: 12/30/2021] [Accepted: 06/13/2022] [Indexed: 11/13/2022] Open
Abstract
PurposeAs local recurrence remains a challenge and the advantages of the simultaneous integrated boost (SIB) technique have been validated in photon radiotherapy, we applied the SIB technique to CIRT. The aim was to investigate the metabolomic changes of the CIRT with concurrent androgen deprivation therapy (ADT) in localized prostate cancer (PCa) and the unique metabolic effect of the SIB technique.Material and MethodsThis study enrolled 24 pathologically confirmed PCa patients. All patients went through CIRT with concurrent ADT. The gross target volume (GTV) boost was defined as positive lesions on both 68Ga-PSMA PET/CT and mpMRI images. Urine samples collected before and after CIRT were analyzed by the Q-TOF UPLC-MS/MS system. R platform and MetDNA were used for peak detection and identification. Statistical analysis and metabolic pathway analysis were performed on Metaboanalyst.ResultsThe metabolite profiles were significantly altered after CIRT. The most significantly altered metabolic pathway is PSMA participated alanine, aspartate and glutamate metabolism. Metabolites in this pathway showed a trend to be better suppressed in the SIB group. A total of 11 identified metabolites were significantly discriminative between two groups and all of them were better down-regulated in the SIB group. Meanwhile, among these metabolites, three metabolites in DNA damage and repair related purine metabolism were down-regulated to a greater extent in the SIB group.ConclusionMetabolic dysfunction was one of the typical characteristics of PCa. CIRT with ADT showed a powerful inhibition of PCa metabolism, especially in PSMA participated metabolic pathway. The SIB CIRT showed even better performance on down-regulation of most metabolism than uniform-dose-distribution CIRT. Meanwhile, the SIB CIRT also showed its unique superiority to inhibit purine metabolism. PSMA PET/CT guided SIB CIRT showed its potentials to further benefit PCa patients.
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Affiliation(s)
- Yulei Pei
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
| | - Renli Ning
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
- Department of Research and Development, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
| | - Wei Hu
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
| | - Ping Li
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Shanghai, China
| | - Zhenshan Zhang
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
| | - Yong Deng
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
- Department of Research and Development, Shanghai Proton and Heavy Ion Center, Shanghai, China
| | - Zhengshan Hong
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Shanghai, China
| | - Yun Sun
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
- Department of Research and Development, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
- *Correspondence: Qing Zhang, ; Xiaomao Guo, ; Yun Sun,
| | - Xiaomao Guo
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
- Department of Research and Development, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
- *Correspondence: Qing Zhang, ; Xiaomao Guo, ; Yun Sun,
| | - Qing Zhang
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
- *Correspondence: Qing Zhang, ; Xiaomao Guo, ; Yun Sun,
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Abstract
Abstract
Purpose
Gliomas, the most common primary brain tumours, have recently been re-classified incorporating molecular aspects with important clinical, prognostic, and predictive implications. Concurrently, the reprogramming of metabolism, altering intracellular and extracellular metabolites affecting gene expression, differentiation, and the tumour microenvironment, is increasingly being studied, and alterations in metabolic pathways are becoming hallmarks of cancer. Magnetic resonance spectroscopy (MRS) is a complementary, non-invasive technique capable of quantifying multiple metabolites. The aim of this review focuses on the methodology and analysis techniques in proton MRS (1H MRS), including a brief look at X-nuclei MRS, and on its perspectives for diagnostic and prognostic biomarkers in gliomas in both clinical practice and preclinical research.
Methods
PubMed literature research was performed cross-linking the following key words: glioma, MRS, brain, in-vivo, human, animal model, clinical, pre-clinical, techniques, sequences, 1H, X-nuclei, Artificial Intelligence (AI), hyperpolarization.
Results
We selected clinical works (n = 51), preclinical studies (n = 35) and AI MRS application papers (n = 15) published within the last two decades. The methodological papers (n = 62) were taken into account since the technique first description.
Conclusions
Given the development of treatments targeting specific cancer metabolic pathways, MRS could play a key role in allowing non-invasive assessment for patient diagnosis and stratification, predicting and monitoring treatment responses and prognosis. The characterization of gliomas through MRS will benefit of a wide synergy among scientists and clinicians of different specialties within the context of new translational competences. Head coils, MRI hardware and post-processing analysis progress, advances in research, experts’ consensus recommendations and specific professionalizing programs will make the technique increasingly trustworthy, responsive, accessible.
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Effects of the Combined Treatment with a G-Quadruplex-Stabilizing Ligand and Photon Beams on Glioblastoma Stem-like Cells: A Magnetic Resonance Study. Int J Mol Sci 2021; 22:ijms222312709. [PMID: 34884511 PMCID: PMC8657890 DOI: 10.3390/ijms222312709] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 11/17/2021] [Accepted: 11/22/2021] [Indexed: 02/06/2023] Open
Abstract
Glioblastoma multiforme is a malignant primary brain tumor with a poor prognosis and high rates of chemo-radiotherapy failure, mainly due to a small cell fraction with stem-like properties (GSCs). The mechanisms underlying GSC response to radiation need to be elucidated to enhance sensitivity to treatments and to develop new therapeutic strategies. In a previous study, two GSC lines, named line #1 and line #83, responded differently to carbon ions and photon beams, with the differences likely attributable to their own different metabolic fingerprint rather than to radiation type. Data from the literature showed the capability of RHPS4, a G-quadruplex stabilizing ligand, to sensitize the glioblastoma radioresistant U251MG cells to X-rays. The combined metabolic effect of ligand #190, a new RHPS4-derivative showing reduced cardiotoxicity, and a photon beam has been monitored by magnetic resonance (MR) spectroscopy for the two GSC lines, #1 and #83, to reveal whether a synergistic response occurs. MR spectra from both lines were affected by single and combined treatments, but the variations of the analysed metabolites were statistically significant mainly in line #1, without synergistic effects due to combination. The multivariate analysis of ten metabolites shows a separation between control and treated samples in line #1 regardless of treatment type, while separation was not detected in line #83.
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9
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Carante MP, Ballarini F. Radiation Damage in Biomolecules and Cells. Int J Mol Sci 2020; 21:ijms21218188. [PMID: 33139616 PMCID: PMC7662447 DOI: 10.3390/ijms21218188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 10/28/2020] [Indexed: 11/23/2022] Open
Affiliation(s)
- Mario P. Carante
- INFN (Italian National Institute for Nuclear Physics), Sezione di Pavia, via Bassi 6, I-27100 Pavia, Italy;
| | - Francesca Ballarini
- INFN (Italian National Institute for Nuclear Physics), Sezione di Pavia, via Bassi 6, I-27100 Pavia, Italy;
- Physics Department, University of Pavia, via Bassi 6, I-27100 Pavia, Italy
- Correspondence:
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