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Huang S, Deng H, Wei X, Zhang J. Progress in application of terahertz time-domain spectroscopy for pharmaceutical analyses. Front Bioeng Biotechnol 2023; 11:1219042. [PMID: 37533693 PMCID: PMC10393043 DOI: 10.3389/fbioe.2023.1219042] [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: 05/08/2023] [Accepted: 06/12/2023] [Indexed: 08/04/2023] Open
Abstract
Terahertz time-domain spectroscopy is an analytical method using terahertz time-domain pulses to study the physical and chemical properties of substances. It has strong potential for application in pharmaceutical analyses as an original non-destructive, efficient and convenient technology for spectral detection. This review briefly introduces the working principle of terahertz time-domain spectroscopy technology, focuses on the research achievements of this technology in analyses of chemical drugs, traditional Chinese medicine and biological drugs in the past decade. We also reveal the scientific feasibility of practical application of terahertz time-domain spectroscopy for pharmaceutical detection. Finally, we discuss the problems in practical application of terahertz time-domain spectroscopy technology, and the prospect of further development of this technology in pharmaceutical analyses. We hope that this review can provide a reference for application of terahertz time-domain spectroscopy technology in pharmaceutical analyses in the future.
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Affiliation(s)
- Shuteng Huang
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Hanxiu Deng
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Xia Wei
- Shandong Institute for Food and Drug Control, Jinan, China
| | - Jiayu Zhang
- School of Pharmacy, Binzhou Medical University, Yantai, China
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2
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Di Gregorio E, Miolo G, Saorin A, Steffan A, Corona G. From Metabolism to Genetics and Vice Versa: The Rising Role of Oncometabolites in Cancer Development and Therapy. Int J Mol Sci 2021; 22:5574. [PMID: 34070384 PMCID: PMC8197491 DOI: 10.3390/ijms22115574] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 05/21/2021] [Accepted: 05/22/2021] [Indexed: 12/13/2022] Open
Abstract
Over the last decades, the study of cancer metabolism has returned to the forefront of cancer research and challenged the role of genetics in the understanding of cancer development. One of the major impulses of this new trend came from the discovery of oncometabolites, metabolic intermediates whose abnormal cellular accumulation triggers oncogenic signalling and tumorigenesis. These findings have led to reconsideration and support for the long-forgotten hypothesis of Warburg of altered metabolism as oncogenic driver of cancer and started a novel paradigm whereby mitochondrial metabolites play a pivotal role in malignant transformation. In this review, we describe the evolution of the cancer metabolism research from a historical perspective up to the oncometabolites discovery that spawned the new vision of cancer as a metabolic disease. The oncometabolites' mechanisms of cellular transformation and their contribution to the development of new targeted cancer therapies together with their drawbacks are further reviewed and discussed.
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Affiliation(s)
- Emanuela Di Gregorio
- Immunopathology and Cancer Biomarkers Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.D.G.); (A.S.); (A.S.)
| | - Gianmaria Miolo
- Medical Oncology and Cancer Prevention Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy;
| | - Asia Saorin
- Immunopathology and Cancer Biomarkers Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.D.G.); (A.S.); (A.S.)
| | - Agostino Steffan
- Immunopathology and Cancer Biomarkers Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.D.G.); (A.S.); (A.S.)
| | - Giuseppe Corona
- Immunopathology and Cancer Biomarkers Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.D.G.); (A.S.); (A.S.)
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3
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Esmaeili M, Stockmann J, Strasser B, Arango N, Thapa B, Wang Z, van der Kouwe A, Dietrich J, Cahill DP, Batchelor TT, White J, Adalsteinsson E, Wald L, Andronesi OC. An integrated RF-receive/B 0-shim array coil boosts performance of whole-brain MR spectroscopic imaging at 7 T. Sci Rep 2020; 10:15029. [PMID: 32929121 PMCID: PMC7490394 DOI: 10.1038/s41598-020-71623-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 06/16/2020] [Indexed: 12/03/2022] Open
Abstract
Metabolic imaging of the human brain by in-vivo magnetic resonance spectroscopic imaging (MRSI) can non-invasively probe neurochemistry in healthy and disease conditions. MRSI at ultra-high field (≥ 7 T) provides increased sensitivity for fast high-resolution metabolic imaging, but comes with technical challenges due to non-uniform B0 field. Here, we show that an integrated RF-receive/B0-shim (AC/DC) array coil can be used to mitigate 7 T B0 inhomogeneity, which improves spectral quality and metabolite quantification over a whole-brain slab. Our results from simulations, phantoms, healthy and brain tumor human subjects indicate improvements of global B0 homogeneity by 55%, narrower spectral linewidth by 29%, higher signal-to-noise ratio by 31%, more precise metabolite quantification by 22%, and an increase by 21% of the brain volume that can be reliably analyzed. AC/DC shimming provide the highest correlation (R2 = 0.98, P = 0.001) with ground-truth values for metabolite concentration. Clinical translation of AC/DC and MRSI is demonstrated in a patient with mutant-IDH1 glioma where it enables imaging of D-2-hydroxyglutarate oncometabolite with a 2.8-fold increase in contrast-to-noise ratio at higher resolution and more brain coverage compared to previous 7 T studies. Hence, AC/DC technology may help ultra-high field MRSI become more feasible to take advantage of higher signal/contrast-to-noise in clinical applications.
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Affiliation(s)
- Morteza Esmaeili
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Diagnostic Imaging, Akershus University Hospital, Lørenskog, Norway
| | - Jason Stockmann
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Bernhard Strasser
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Nicolas Arango
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Bijaya Thapa
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Zhe Wang
- Siemens Medical Solutions, USA, Charlestown, MA, USA
| | - Andre van der Kouwe
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jorg Dietrich
- Division of Neuro-Oncology, Department Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Tracy T Batchelor
- Department Neurology, Brigham's and Women Hospital, Harvard Medical School, Boston, MA, USA
| | - Jacob White
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Elfar Adalsteinsson
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Lawrence Wald
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ovidiu C Andronesi
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Athinoula A. Martinos Center for Biomedical Imaging, Building 149, Room 2301 13th Street, Charlestown, MA, 02129, USA.
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Liang S, Zhang R, Liang D, Song T, Ai T, Xia C, Xia L, Wang Y. Multimodal 3D DenseNet for IDH Genotype Prediction in Gliomas. Genes (Basel) 2018; 9:E382. [PMID: 30061525 PMCID: PMC6115744 DOI: 10.3390/genes9080382] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2018] [Revised: 07/06/2018] [Accepted: 07/16/2018] [Indexed: 01/08/2023] Open
Abstract
Non-invasive prediction of isocitrate dehydrogenase (IDH) genotype plays an important role in tumor glioma diagnosis and prognosis. Recently, research has shown that radiology images can be a potential tool for genotype prediction, and fusion of multi-modality data by deep learning methods can further provide complementary information to enhance prediction accuracy. However, it still does not have an effective deep learning architecture to predict IDH genotype with three-dimensional (3D) multimodal medical images. In this paper, we proposed a novel multimodal 3D DenseNet (M3D-DenseNet) model to predict IDH genotypes with multimodal magnetic resonance imaging (MRI) data. To evaluate its performance, we conducted experiments on the BRATS-2017 and The Cancer Genome Atlas breast invasive carcinoma (TCGA-BRCA) dataset to get image data as input and gene mutation information as the target, respectively. We achieved 84.6% accuracy (area under the curve (AUC) = 85.7%) on the validation dataset. To evaluate its generalizability, we applied transfer learning techniques to predict World Health Organization (WHO) grade status, which also achieved a high accuracy of 91.4% (AUC = 94.8%) on validation dataset. With the properties of automatic feature extraction, and effective and high generalizability, M3D-DenseNet can serve as a useful method for other multimodal radiogenomics problems and has the potential to be applied in clinical decision making.
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Affiliation(s)
- Sen Liang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, and College of Computer Science and Technology, Jilin University, Changchun 130012, China.
| | - Rongguo Zhang
- Advanced Institute, Infervision, Beijing 100000, China.
| | - Dayang Liang
- School of Mechatronics Engineering, Nanchang University, Nanchang 330031, China.
| | - Tianci Song
- Advanced Institute, Infervision, Beijing 100000, China.
| | - Tao Ai
- Department of Radiology, Tongji Hospital, Wuhan 430030, China.
| | - Chen Xia
- Advanced Institute, Infervision, Beijing 100000, China.
| | - Liming Xia
- Department of Radiology, Tongji Hospital, Wuhan 430030, China.
| | - Yan Wang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, and College of Computer Science and Technology, Jilin University, Changchun 130012, China.
- Cancer Systems Biology Center, China-Japan Union Hospital, Jilin University, Changchun 130033, China.
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Association between mutant IDHs and tumorigenesis in gliomas. Med Mol Morphol 2018; 51:194-198. [PMID: 29633022 DOI: 10.1007/s00795-018-0189-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Accepted: 04/02/2018] [Indexed: 01/14/2023]
Abstract
To become immortalized, cells need to maintain the telomere length via the activation of telomerase or alternative lengthening of telomere. Mutations in IDH1/2 are strongly associated with the early stage of gliomagenesis. Previous work has shown that the accumulation of 2-HG, which is induced by mutant IDH1/2, inhibits α-KG-dependent deoxygenase and leads to genome-wide histone and DNA methylation alterations. These alterations are believed to contribute to tumorigenesis. H-Ras can transform human astrocytes with the inactivation of p53/pRb and expression of hTERT; however, mutant IDH1 can also transform cells. Moreover, mutant IDH1 can drive the immortalization and transformation of p53-/pRb-deficient astrocytes by reactivating telomerase and stabilizing telomeres in combination with increased histone lysine methylation and c-Myc/Max binding at the TERT promoter. It remains unclear whether mutant IDH1/2 acts only as the initial driver of gliomagenesis or it maintains transformed cells. Clinical studies are being performed to assess the use of mutant IDH1/2 inhibitors for treating gliomas.
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Comparative Analysis of Methods for Detecting Isocitrate Dehydrogenase 1 and 2 Mutations and Their Metabolic Consequence, 2-Hydroxyglutarate, in Different Neoplasms. Appl Immunohistochem Mol Morphol 2017; 25:334-337. [PMID: 26945443 DOI: 10.1097/pai.0000000000000342] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Isocitrate dehydrogenase (IDH) mutations have been recognized in a few neoplasms including glioma, acute myeloid leukemia, chondrosarcoma, cholangiocarcinoma, and angioimmunoblastic T-cell lymphoma. The direct methods to detect IDH mutations include DNA sequencing, immunohistochemistry (IHC), or by measuring its byproduct, 2-hydroxyglutarate (2-HG), in the blood or urine. Moreover, conventional magnetic resonance imaging can be modified to magnetic resonance spectroscopy (MRS) to measure 2-HG in tumor. By conducting a search in Medline/PubMed and ISI/Web of Science for the published articles in English related to the methods for detection of IDH mutations and its byproduct 2-HG, we compared different methodologies to detect these mutations and discuss advantages and limitations of each method. Studies in which a methodology of detection was compared with another modality were included. Multiple studies have shown that both DNA sequencing and IHC are reliable methods for detecting IDH mutations in glioma and other solid neoplasms. IHC appeared to be less costly, easier to perform, and may be slightly more accurate than DNA sequencing. 2-HG has also been measured in bone marrow aspirate, serum and urine of patients with mutant IDH acute myeloid leukemia, and correlated very well with sequencing and IHC. Lastly, in some glioma patients, MRS detected IDH mutations noninvasively and reliably with excellent correlations with other modalities such as IHC and sequencing. In conclusion, IHC, MRS, and 2-HG detection all are clinically useful and comparable with DNA sequencing in identifying IDH mutations in different neoplasms. 2-HG and MRS can be utilized for monitoring treatment response in a variety of neoplasms.
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Reliable diagnosis of IDH-mutant glioblastoma by 2-hydroxyglutarate detection: a study by 3-T magnetic resonance spectroscopy. Neurosurg Rev 2017; 41:641-647. [DOI: 10.1007/s10143-017-0908-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Revised: 08/25/2017] [Accepted: 09/15/2017] [Indexed: 12/18/2022]
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Isomers Identification of 2-hydroxyglutarate acid disodium salt (2HG) by Terahertz Time-domain Spectroscopy. Sci Rep 2017; 7:12166. [PMID: 28939851 PMCID: PMC5610270 DOI: 10.1038/s41598-017-11527-z] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 06/29/2017] [Indexed: 11/18/2022] Open
Abstract
2-Hydroxyglutaric acid disodium salt (2HG) is a unique biomarker existing in glioma, which can be used for recognizing cancer development stage and identifying the boundary between the ordinary tissue and cancer tissue. However, the most efficient detection method for 2HG now is Magnetic Resonance Spectroscopy (MRS), whose testing time is at least twenty minutes and the variability of 2HG (continuous synthesis and decomposition) determines it cannot be used as the real-time image in medical surgery. In this paper, by using the Terahertz Time-domain Spectroscopy (THz-TDS) System, we investigate the vibration spectra of 2HG isomers and further distinguish their physical properties by using Density Functional Theory. The differences between isomers are mainly attributed to the proton transfer inside the carbon chain. These results indicate that terahertz technology can identify the isomers of 2HG accurate and fast, which has important significance for the further investigation of glioma and clinical surgery.
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Abstract
Primary brain tumors, most commonly gliomas, are histopathologically typed and graded as World Health Organization (WHO) grades I-IV according to increasing degrees of malignancy. These grades provide prognostic information and guidance on treatment such as radiation therapy and chemotherapy after surgery. Despite the confirmed value of the WHO grading system, results of a multitude of studies and prospective interventional trials now indicate that tumors with identical morphologic criteria can have highly different outcomes. Molecular markers can allow subtypes of tumors of the same morphologic type and WHO grade to be distinguished and are, therefore, of great interest in personalization of brain tumor treatment. Recent genomic-wide studies have resulted in a far more comprehensive understanding of the genomic alterations in gliomas and provide suggestions for a new molecularly based classification. Magnetic resonance (MR) imaging phenotypes can serve as noninvasive surrogates for tumor genotypes and can provide important information for diagnosis, prognosis, and, eventually, personalized treatment. The newly emerged field of radiogenomics allows specific MR imaging phenotypes to be linked with gene expression profiles. In this article, the authors review the conventional and advanced imaging features of three tumoral genotypes with prognostic and therapeutic consequences: (a) isocitrate dehydrogenase mutation; (b) the combined loss of the short arm of chromosome 1 and the long arm of chromosome 19, or 1p19q codeletion; and (c) methylguanine methyltransferase promoter methylation. © RSNA, 2017.
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Affiliation(s)
- Marion Smits
- From the Department of Radiology, Erasmus MC University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, the Netherlands (M.S.); and Brain Tumor Center, Erasmus MC Cancer Center, Rotterdam, the Netherlands (M.J.v.d.B.)
| | - Martin J van den Bent
- From the Department of Radiology, Erasmus MC University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, the Netherlands (M.S.); and Brain Tumor Center, Erasmus MC Cancer Center, Rotterdam, the Netherlands (M.J.v.d.B.)
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Kim H, Kim S, Lee HH, Heo H. In-Vivo Proton Magnetic Resonance Spectroscopy of 2-Hydroxyglutarate in Isocitrate Dehydrogenase-Mutated Gliomas: A Technical Review for Neuroradiologists. Korean J Radiol 2016; 17:620-32. [PMID: 27587950 PMCID: PMC5007388 DOI: 10.3348/kjr.2016.17.5.620] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Accepted: 06/02/2016] [Indexed: 12/21/2022] Open
Abstract
The diagnostic and prognostic potential of an onco-metabolite, 2-hydroxyglutarate (2HG) as a proton magnetic resonance spectroscopy (1H-MRS) detectable biomarker of the isocitrate dehydrogenase (IDH)-mutated (IDH-MT) gliomas has drawn attention of neuroradiologists recently. However, due to severe spectral overlap with background signals, quantification of 2HG can be very challenging. In this technical review for neuroradiologists, first, the biochemistry of 2HG and its significance in the diagnosis of IDH-MT gliomas are summarized. Secondly, various 1H-MRS methods used in the previous studies are outlined. Finally, wereview previous in vivo studies, and discuss the current status of 1H-MRS in the diagnosis of IDH-MT gliomas.
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Affiliation(s)
- Hyeonjin Kim
- Department of Radiology, Seoul National University Hospital, Seoul 03080, Korea.; Department of Biomedical Sciences, Seoul National University, Seoul 03087, Korea.; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul 03080, Korea
| | - Sungjin Kim
- Department of Radiology, Seoul National University Hospital, Seoul 03080, Korea
| | - Hyeong Hun Lee
- Department of Biomedical Sciences, Seoul National University, Seoul 03087, Korea
| | - Hwon Heo
- Department of Biomedical Sciences, Seoul National University, Seoul 03087, Korea
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Abstract
There is a wide variety of intra-axial primary and secondary brain neoplasms. Many of them have characteristic imaging features while other tumors can present in a similar fashion. There are peculiar posttreatment imaging phenomena that can present as intra-axial mass-like lesions (such as pseudoprogression or radiation necrosis), further complicating the diagnosis and clinical follow-up of patients with intracerebral tumors. The purpose of this chapter is to present a general overview of the most common intra-axial brain tumors and peculiar posttreatment changes that are very important in the diagnosis and clinical follow-up of patients with brain tumors.
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Affiliation(s)
- Otto Rapalino
- Division of Neuroradiology, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
| | - Tracy Batchelor
- Departments of Neurology and Radiation Oncology, Division of Hematology/Oncology, Massachusetts General Hospital, Boston, MA, USA
| | - R Gilberto González
- Division of Neuroradiology, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
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Chaumeil MM, Lupo JM, Ronen SM. Magnetic Resonance (MR) Metabolic Imaging in Glioma. Brain Pathol 2015; 25:769-80. [PMID: 26526945 PMCID: PMC8029127 DOI: 10.1111/bpa.12310] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Accepted: 08/25/2015] [Indexed: 12/25/2022] Open
Abstract
This review is focused on describing the use of magnetic resonance (MR) spectroscopy for metabolic imaging of brain tumors. We will first review the MR metabolic imaging findings generated from preclinical models, focusing primarily on in vivo studies, and will then describe the use of metabolic imaging in the clinical setting. We will address relatively well-established (1) H MRS approaches, as well as (31) P MRS, (13) C MRS and emerging hyperpolarized (13) C MRS methodologies, and will describe the use of metabolic imaging for understanding the basic biology of glioma as well as for improving the characterization and monitoring of brain tumors in the clinic.
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Affiliation(s)
| | - Janine M. Lupo
- Department of Radiology and Biomedical ImagingMission Bay Campus
| | - Sabrina M. Ronen
- Department of Radiology and Biomedical ImagingMission Bay Campus
- Brain Tumor Research CenterUniversity of CaliforniaSan FranciscoCA
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Olivares O, Däbritz JHM, King A, Gottlieb E, Halsey C. Research into cancer metabolomics: Towards a clinical metamorphosis. Semin Cell Dev Biol 2015; 43:52-64. [PMID: 26365277 DOI: 10.1016/j.semcdb.2015.09.008] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2015] [Accepted: 09/08/2015] [Indexed: 12/26/2022]
Abstract
The acknowledgement that metabolic reprogramming is a central feature of cancer has generated high expectations for major advances in both diagnosis and treatment of malignancies through addressing metabolism. These have so far only been partially fulfilled, with only a few clinical applications. However, numerous diagnostic and therapeutic compounds are currently being evaluated in either clinical trials or pre-clinical models and new discoveries of alterations in metabolic genes indicate future prognostic or other applicable relevance. Altogether, these metabolic approaches now stand alongside other available measures providing hopes for the prospects of metabolomics in the clinic. Here we present a comprehensive overview of both ongoing and emerging clinical, pre-clinical and technical strategies for exploiting unique tumour metabolic traits, highlighting the current promises and anticipations of research in the field.
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Affiliation(s)
- Orianne Olivares
- Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Garscube Estate, Switchback Road, Glasgow, UK
| | - J Henry M Däbritz
- Cancer Research UK Beatson Institute, Garscube Estate, Switchback Road, Glasgow, UK
| | - Ayala King
- Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Garscube Estate, Switchback Road, Glasgow, UK
| | - Eyal Gottlieb
- Cancer Research UK Beatson Institute, Garscube Estate, Switchback Road, Glasgow, UK.
| | - Christina Halsey
- Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Garscube Estate, Switchback Road, Glasgow, UK.
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Hygino da Cruz LC, Kimura M. Neuroimaging and genetic influence in treating brain neoplasms. Neuroimaging Clin N Am 2014; 25:121-40. [PMID: 25476517 DOI: 10.1016/j.nic.2014.09.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
The current treatment of glioblastoma patients based on surgery, radiation, and chemotherapy has achieved modest improvement in progression-free survival. In this direction, personalized treatment is the next achievement for better patient management and increased overall survival. Genetic characterization of high-grade gliomas by MR imaging is the goal in neuroimaging. The main genetic alterations described in these neoplasms, implications in patient treatment, and prognosis are reviewed. MR imaging features and novel techniques are correlated with the main genetic aspects of such tumors. Posttreatment phenomena, such as pseudoprogression and pseudoresponse, are analyzed in association with the genetic expression of these tumors.
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Affiliation(s)
- L Celso Hygino da Cruz
- MRI Department of Clínica de Diagnostico por Imagem (CDPI) and IRM Ressonância Magnética, Av. das Américas, 4666 Sl 325, Centro Médico Barrashopping, Rio de Janeiro, RJ, Brazil.
| | - Margareth Kimura
- MRI Department of Clínica de Diagnostico por Imagem (CDPI), Av. das Américas, 4666 Sl 325, Centro Médico Barrashopping, Rio de Janeiro, RJ, Brazil
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15
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Natsumeda M, Igarashi H, Nomura T, Ogura R, Tsukamoto Y, Kobayashi T, Aoki H, Okamoto K, Kakita A, Takahashi H, Nakada T, Fujii Y. Accumulation of 2-hydroxyglutarate in gliomas correlates with survival: a study by 3.0-tesla magnetic resonance spectroscopy. Acta Neuropathol Commun 2014; 2:158. [PMID: 25376594 PMCID: PMC4236810 DOI: 10.1186/s40478-014-0158-y] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2014] [Accepted: 10/22/2014] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION Previous magnetic resonance spectroscopy (MRS) and mass spectroscopy studies have shown accumulation of 2-hydroxyglutarate (2HG) in mutant isocitrate dehydrogenase (IDH) gliomas. IDH mutation is known to be a powerful positive prognostic marker in malignant gliomas. Hence, 2HG accumulation in gliomas was assumed to be a positive prognostic factor in gliomas, but this has not yet been proven. Here, we analyzed 52 patients harboring World Health Organization (WHO) grade II and III gliomas utilizing 3.0-tesla MRS. RESULTS Mutant IDH gliomas showed significantly higher accumulation of 2HG (median 5.077 vs. 0.000, p =0.0002, Mann-Whitney test). 2HG was detectable in all mutant IDH gliomas, whereas in 10 out of 27 (37.0%) wild-type IDH gliomas, 2HG was below the detectable range (2HG =0) (p =0.0003, chi-squared test). Screening for IDH mutation by 2HG analysis was highly sensitive (cutoff 2HG =1.489 mM, sensitivity 100.0%, specificity 72.2%). Gliomas with high 2HG accumulation had better overall survival than gliomas with low 2HG accumulation (p =0.0401, Kaplan-Meier analysis). DISCUSSION 2HG accumulation detected by 3.0-tesla MRS not only correlates well with IDH status, but also positively correlates with survival in WHO grade II and III gliomas.
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Esmaeili M, Hamans BC, Navis AC, van Horssen R, Bathen TF, Gribbestad IS, Leenders WP, Heerschap A. IDH1 R132H mutation generates a distinct phospholipid metabolite profile in glioma. Cancer Res 2014; 74:4898-907. [PMID: 25005896 DOI: 10.1158/0008-5472.can-14-0008] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Many patients with glioma harbor specific mutations in the isocitrate dehydrogenase gene IDH1 that associate with a relatively better prognosis. IDH1-mutated tumors produce the oncometabolite 2-hydroxyglutarate. Because IDH1 also regulates several pathways leading to lipid synthesis, we hypothesized that IDH1-mutant tumors have an altered phospholipid metabolite profile that would impinge on tumor pathobiology. To investigate this hypothesis, we performed (31)P-MRS imaging in mouse xenograft models of four human gliomas, one of which harbored the IDH1-R132H mutation. (31)P-MR spectra from the IDH1-mutant tumor displayed a pattern distinct from that of the three IDH1 wild-type tumors, characterized by decreased levels of phosphoethanolamine and increased levels of glycerophosphocholine. This spectral profile was confirmed by ex vivo analysis of tumor extracts, and it was also observed in human surgical biopsies of IDH1-mutated tumors by (31)P high-resolution magic angle spinning spectroscopy. The specificity of this profile for the IDH1-R132H mutation was established by in vitro (31)P-NMR of extracts of cells overexpressing IDH1 or IDH1-R132H. Overall, our results provide evidence that the IDH1-R132H mutation alters phospholipid metabolism in gliomas involving phosphoethanolamine and glycerophosphocholine. These new noninvasive biomarkers can assist in the identification of the mutation and in research toward novel treatments that target aberrant metabolism in IDH1-mutant glioma.
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Affiliation(s)
- Morteza Esmaeili
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
| | - Bob C Hamans
- Department of Radiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Anna C Navis
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Remco van Horssen
- Department of Cell Biology, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands. Department of Clinical Chemistry and Hematology, St. Elisabeth Hospital, Tilburg, the Netherlands
| | - Tone F Bathen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Ingrid S Gribbestad
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - William P Leenders
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Arend Heerschap
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. Department of Radiology, Radboud University Medical Center, Nijmegen, the Netherlands
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Chronaiou I, Stensjøen AL, Sjøbakk TE, Esmaeili M, Bathen TF. Impacts of MR spectroscopic imaging on glioma patient management. Acta Oncol 2014; 53:580-9. [PMID: 24628262 DOI: 10.3109/0284186x.2014.891046] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Magnetic resonance (MR) modalities are routine imaging tools in the diagnosis and management of gliomas. MR spectroscopic imaging (MRSI), which relies on the metabolic characteristics of tissues, has been developed to accelerate the understanding of gliomas and to aid in effective clinical decision making and development of targeted therapies. In this review, the potentials and practical challenges to frequently use this technique in clinical management of gliomas are discussed. The applications of new biomarkers detectable by MRSI in differential glioma diagnosis, pre- and post-treatment evaluations, and neurosurgery are also addressed.
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Affiliation(s)
- Ioanna Chronaiou
- Radiography Department, Faculty of Technology (AFT), Sør-Trøndelag University College (HiST) , Trondheim , Norway
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18
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Non-invasive in vivo assessment of IDH1 mutational status in glioma. Nat Commun 2014; 4:2429. [PMID: 24019001 DOI: 10.1038/ncomms3429] [Citation(s) in RCA: 105] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2013] [Accepted: 08/12/2013] [Indexed: 12/19/2022] Open
Abstract
Gain-of-function mutations of the isocitrate dehydrogenase 1 (IDH1) gene are among the most prevalent in low-grade gliomas and secondary glioblastoma. They lead to intracellular accumulation of the oncometabolite 2-hydroxyglutarate, represent an early pathogenic event and are considered a therapeutic target. Here we show, in this proof-of-concept study, that [1-(13)C] α-ketoglutarate can serve as a metabolic imaging agent for non-invasive, real-time, in vivo monitoring of mutant IDH1 activity, and can inform on IDH1 status. Using (13)C magnetic resonance spectroscopy in combination with dissolution dynamic nuclear polarization, the metabolic fate of hyperpolarized [1-(13)C] α-ketoglutarate is studied in isogenic glioblastoma cells that differ only in their IDH1 status. In lysates and tumours that express wild-type IDH1, only hyperpolarized [1-(13)C] α-ketoglutarate can be detected. In contrast, in cells that express mutant IDH1, hyperpolarized [1-(13)C] 2-hydroxyglutarate is also observed, both in cell lysates and in vivo in orthotopic tumours.
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