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Abstract
Hypoxia (oxygen deprivation) occurs in most solid malignancies, albeit with considerable heterogeneity. Hypoxia is associated with an aggressive cancer phenotype by promotion of genomic instability, evasion of anti-cancer therapies including radiotherapy and enhancement of metastatic risk. Therefore, hypoxia results in poor cancer outcomes. Targeting hypoxia to improve cancer outcomes is an attractive therapeutic strategy. Hypoxia-targeted dose painting escalates radiotherapy dose to hypoxic sub-volumes, as quantified and spatially mapped using hypoxia imaging. This therapeutic approach could overcome hypoxia-induced radioresistance and improve patient outcomes without the need for hypoxia-targeted drugs. This article will review the premise and underpinning evidence for personalized hypoxia-targeted dose painting. It will present data on relevant hypoxia imaging biomarkers, highlight the challenges and potential benefit of this approach and provide recommendations for future research priorities in this field. Personalized hypoxia-based radiotherapy de-escalation strategies will also be addressed.
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Affiliation(s)
- Ahmed Salem
- Department of Anatomy, Physiology and Biochemistry, Faculty of Medicine, Hashemite University, Zarqa, Jordan; Division of Cancer Sciences, University of Manchester, Manchester, UK.
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2
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Gouel P, Decazes P, Vera P, Gardin I, Thureau S, Bohn P. Advances in PET and MRI imaging of tumor hypoxia. Front Med (Lausanne) 2023; 10:1055062. [PMID: 36844199 PMCID: PMC9947663 DOI: 10.3389/fmed.2023.1055062] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 01/30/2023] [Indexed: 02/11/2023] Open
Abstract
Tumor hypoxia is a complex and evolving phenomenon both in time and space. Molecular imaging allows to approach these variations, but the tracers used have their own limitations. PET imaging has the disadvantage of low resolution and must take into account molecular biodistribution, but has the advantage of high targeting accuracy. The relationship between the signal in MRI imaging and oxygen is complex but hopefully it would lead to the detection of truly oxygen-depleted tissue. Different ways of imaging hypoxia are discussed in this review, with nuclear medicine tracers such as [18F]-FMISO, [18F]-FAZA, or [64Cu]-ATSM but also with MRI techniques such as perfusion imaging, diffusion MRI or oxygen-enhanced MRI. Hypoxia is a pejorative factor regarding aggressiveness, tumor dissemination and resistance to treatments. Therefore, having accurate tools is particularly important.
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Affiliation(s)
- Pierrick Gouel
- Département d’Imagerie, Centre Henri Becquerel, Rouen, France,QuantIF-LITIS, EA 4108, IRIB, Université de Rouen, Rouen, France
| | - Pierre Decazes
- Département d’Imagerie, Centre Henri Becquerel, Rouen, France,QuantIF-LITIS, EA 4108, IRIB, Université de Rouen, Rouen, France
| | - Pierre Vera
- Département d’Imagerie, Centre Henri Becquerel, Rouen, France,QuantIF-LITIS, EA 4108, IRIB, Université de Rouen, Rouen, France
| | - Isabelle Gardin
- Département d’Imagerie, Centre Henri Becquerel, Rouen, France,QuantIF-LITIS, EA 4108, IRIB, Université de Rouen, Rouen, France
| | - Sébastien Thureau
- QuantIF-LITIS, EA 4108, IRIB, Université de Rouen, Rouen, France,Département de Radiothérapie, Centre Henri Becquerel, Rouen, France
| | - Pierre Bohn
- Département d’Imagerie, Centre Henri Becquerel, Rouen, France,QuantIF-LITIS, EA 4108, IRIB, Université de Rouen, Rouen, France,*Correspondence: Pierre Bohn,
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3
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Towards the virtual tumor for optimizing radiotherapy treatments of hypoxic tumors: a novel model of heterogeneous tissue vasculature and oxygenation. J Theor Biol 2022; 547:111175. [DOI: 10.1016/j.jtbi.2022.111175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 05/14/2022] [Accepted: 05/24/2022] [Indexed: 11/23/2022]
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Brender JR, Saida Y, Devasahayam N, Krishna MC, Kishimoto S. Hypoxia Imaging As a Guide for Hypoxia-Modulated and Hypoxia-Activated Therapy. Antioxid Redox Signal 2022; 36:144-159. [PMID: 34428981 PMCID: PMC8856011 DOI: 10.1089/ars.2021.0176] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 08/16/2021] [Indexed: 01/03/2023]
Abstract
Significance: Oxygen imaging techniques, which can probe the spatiotemporal heterogeneity of tumor oxygenation, could be of significant clinical utility in radiation treatment planning and in evaluating the effectiveness of hypoxia-activated prodrugs. To fulfill these goals, oxygen imaging techniques should be noninvasive, quantitative, and capable of serial imaging, as well as having sufficient temporal resolution to detect the dynamics of tumor oxygenation to distinguish regions of chronic and acute hypoxia. Recent Advances: No current technique meets all these requirements, although all have strengths in certain areas. The current status of positron emission tomography (PET)-based hypoxia imaging, oxygen-enhanced magnetic resonance imaging (MRI), 19F MRI, and electron paramagnetic resonance (EPR) oximetry are reviewed along with their strengths and weaknesses for planning hypoxia-guided, intensity-modulated radiation therapy and detecting treatment response for hypoxia-targeted prodrugs. Critical Issues: Spatial and temporal resolution emerges as a major concern for these areas along with specificity and quantitative response. Although multiple oxygen imaging techniques have reached the investigative stage, clinical trials to test the therapeutic effectiveness of hypoxia imaging have been limited. Future Directions: Imaging elements of the redox environment besides oxygen by EPR and hyperpolarized MRI may have a significant impact on our understanding of the basic biology of the reactive oxygen species response and may extend treatment possibilities.
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Affiliation(s)
- Jeffrey R. Brender
- Radiation Biology Branch, Center for Cancer Research, National
Institutes of Health, Bethesda, Maryland, USA
| | - Yu Saida
- Radiation Biology Branch, Center for Cancer Research, National
Institutes of Health, Bethesda, Maryland, USA
| | - Nallathamby Devasahayam
- Radiation Biology Branch, Center for Cancer Research, National
Institutes of Health, Bethesda, Maryland, USA
| | - Murali C. Krishna
- Radiation Biology Branch, Center for Cancer Research, National
Institutes of Health, Bethesda, Maryland, USA
| | - Shun Kishimoto
- Radiation Biology Branch, Center for Cancer Research, National
Institutes of Health, Bethesda, Maryland, USA
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Abdo RA, Lamare F, Fernandez P, Bentourkia M. Quantification of Hypoxia in Human Glioblastoma using PET with 18F-FMISO. Nucl Med Mol Imaging 2021; 55:107-115. [PMID: 34109007 DOI: 10.1007/s13139-021-00693-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 02/16/2021] [Accepted: 03/12/2021] [Indexed: 11/24/2022] Open
Abstract
Purpose This study aimed to investigate the results of compartmental modeling (CM) and spectral analysis (SA) generated with dynamic 18F-FMISO tumor images. Besides, the regular tissue-to-blood ratio (TBR) images were derived and compared with the dynamic models. Methods Nine subjects with glioblastoma underwent PET/CT imaging with the 18F-FMISO tracer. The protocol for PET imaging began with 15 min in dynamic mode and two 10-min duration static images at 120 min and 180 min post-injection. We used the two-tissue compartmental model for CM at the voxel basis, and we conducted SA to estimate the 18F-FMISO accumulation within each voxel. We also investigated the usual tumor-to-blood ratio (TBR) for comparison. Results The images of the tumor showed different patterns of hypoxia and necrosis as a function of PET scanning times, while CM and SA methods based on dynamic PET imaging equally located tumor hypoxia. The mean correlation of Ki images of all subjects between CM and SA was 0.63 ± 0.19 (0.24-0.86). CM produced less noisy K i images than SA, and, in the contrary, SA produced accumulation component images more clear than with CM. CM-K i and SA-K i images were correlated with TBR images (r = 0.72 ± 0.20 and 0.56 ± 0.26, respectively). In the only subject having a continuously increasing tumor time-activity curve, the k 3 image showed a high uptake in the necrosis region which was not apparent in TBR or K i images. Conclusion Based on these results, the combination of CM and SA approaches was found more appropriate in generating voxel-based hypoxia images.
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Affiliation(s)
- Redha-Alla Abdo
- Department of Nuclear Medicine and Radiobiology, University of Sherbrooke, 3001, 12th Avenue North, Sherbrooke, QC J1H 5N4 Canada
| | - Frédéric Lamare
- Service de Médecine Nucléaire, Université de Bordeaux-II, EPHE, Avenue du Haut-Lévêque, 33604 Pessac cedex, Bordeaux, France
| | - Philippe Fernandez
- Service de Médecine Nucléaire, Université de Bordeaux-II, EPHE, Avenue du Haut-Lévêque, 33604 Pessac cedex, Bordeaux, France
| | - M'hamed Bentourkia
- Department of Nuclear Medicine and Radiobiology, University of Sherbrooke, 3001, 12th Avenue North, Sherbrooke, QC J1H 5N4 Canada
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Tumor Hypoxia as a Barrier in Cancer Therapy: Why Levels Matter. Cancers (Basel) 2021; 13:cancers13030499. [PMID: 33525508 PMCID: PMC7866096 DOI: 10.3390/cancers13030499] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 01/22/2021] [Accepted: 01/23/2021] [Indexed: 02/07/2023] Open
Abstract
Simple Summary Hypoxia is a common feature of solid tumors and associated with poor outcome in most cancer types and treatment modalities, including radiotherapy, chemotherapy, surgery and, most likely, immunotherapy. Emerging strategies, such as proton therapy and combination therapies with radiation and hypoxia targeted drugs, provide new opportunities to overcome the hypoxia barrier and improve therapeutic outcome. Hypoxia is heterogeneously distributed both between and within tumors and shows large variations across patients not only in prevalence, but importantly, also in level. To best exploit the emerging strategies, a better understanding of how individual hypoxia levels from mild to severe affect tumor biology is vital. Here, we discuss our current knowledge on this topic and how we should proceed to gain more insight into the field. Abstract Hypoxia arises in tumor regions with insufficient oxygen supply and is a major barrier in cancer treatment. The distribution of hypoxia levels is highly heterogeneous, ranging from mild, almost non-hypoxic, to severe and anoxic levels. The individual hypoxia levels induce a variety of biological responses that impair the treatment effect. A stronger focus on hypoxia levels rather than the absence or presence of hypoxia in our investigations will help development of improved strategies to treat patients with hypoxic tumors. Current knowledge on how hypoxia levels are sensed by cancer cells and mediate cellular responses that promote treatment resistance is comprehensive. Recently, it has become evident that hypoxia also has an important, more unexplored role in the interaction between cancer cells, stroma and immune cells, influencing the composition and structure of the tumor microenvironment. Establishment of how such processes depend on the hypoxia level requires more advanced tumor models and methodology. In this review, we describe promising model systems and tools for investigations of hypoxia levels in tumors. We further present current knowledge and emerging research on cellular responses to individual levels, and discuss their impact in novel therapeutic approaches to overcome the hypoxia barrier.
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Sosa-Marrero C, de Crevoisier R, Hernandez A, Fontaine P, Rioux-Leclercq N, Mathieu R, Fautrel A, Paris F, Acosta O. Towards a Reduced In Silico Model Predicting Biochemical Recurrence After Radiotherapy in Prostate Cancer. IEEE Trans Biomed Eng 2021; 68:2718-2729. [PMID: 33460366 DOI: 10.1109/tbme.2021.3052345] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE Purposes of this work were i) to develop an in silico model of tumor response to radiotherapy, ii) to perform an exhaustive sensitivity analysis in order to iii) propose a simplified version and iv) to predict biochemical recurrence with both the comprehensive and the reduced model. METHODS A multiscale computational model of tumor response to radiotherapy was developed. It integrated the following radiobiological mechanisms: oxygenation, including hypoxic death; division of tumor cells; VEGF diffusion driving angiogenesis; division of healthy cells and oxygen-dependent response to irradiation, considering, cycle arrest and mitotic catastrophe. A thorough sensitivity analysis using the Morris screening method was performed on 21 prostate computational tissues. Tumor control probability (TCP) curves of the comprehensive model and 15 reduced versions were compared. Logistic regression was performed to predict biochemical recurrence after radiotherapy on 76 localized prostate cancer patients using an output of the comprehensive and the reduced models. RESULTS No significant difference was found between the TCP curves of the comprehensive and a simplified version which only considered oxygenation, division of tumor cells and their response to irradiation. Biochemical recurrence predictions using the comprehensive and the reduced models improved those made from pre-treatment imaging parameters (AUC = 0.81 ± 0.02 and 0.82 ± 0.02 vs. 0.75 ± 0.03, respectively). CONCLUSION A reduced model of tumor response to radiotherapy able to predict biochemical recurrence in prostate cancer was obtained. SIGNIFICANCE This reduced model may be used in the future to optimize personalized fractionation schedules.
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Influence of Oxidative Stress on Time-Resolved Oxygen Detection by [Ru(Phen) 3] 2+ In Vivo and In Vitro. Molecules 2021; 26:molecules26020485. [PMID: 33477558 PMCID: PMC7831141 DOI: 10.3390/molecules26020485] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 01/12/2021] [Accepted: 01/14/2021] [Indexed: 01/08/2023] Open
Abstract
Detection of tissue and cell oxygenation is of high importance in fundamental biological and in many medical applications, particularly for monitoring dysfunction in the early stages of cancer. Measurements of the luminescence lifetimes of molecular probes offer a very promising and non-invasive approach to estimate tissue and cell oxygenation in vivo and in vitro. We optimized the evaluation of oxygen detection in vivo by [Ru(Phen)3]2+ in the chicken embryo chorioallantoic membrane model. Its luminescence lifetimes measured in the CAM were analyzed through hierarchical clustering. The detection of the tissue oxygenation at the oxidative stress conditions is still challenging. We applied simultaneous time-resolved recording of the mitochondrial probe MitoTrackerTM OrangeCMTMRos fluorescence and [Ru(Phen)3]2+ phosphorescence imaging in the intact cell without affecting the sensitivities of these molecular probes. [Ru(Phen)3]2+ was demonstrated to be suitable for in vitro detection of oxygen under various stress factors that mimic oxidative stress: other molecular sensors, H2O2, and curcumin-mediated photodynamic therapy in glioma cancer cells. Low phototoxicities of the molecular probes were finally observed. Our study offers a high potential for the application and generalization of tissue oxygenation as an innovative approach based on the similarities between interdependent biological influences. It is particularly suitable for therapeutic approaches targeting metabolic alterations as well as oxygen, glucose, or lipid deprivation.
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Paredes-Cisneros I, Karger CP, Caprile P, Nolte D, Espinoza I, Gago-Arias A. Simulation of hypoxia PET-tracer uptake in tumours: Dependence of clinical uptake-values on transport parameters and arterial input function. Phys Med 2020; 70:109-117. [PMID: 32006939 DOI: 10.1016/j.ejmp.2020.01.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 01/10/2020] [Accepted: 01/11/2020] [Indexed: 11/27/2022] Open
Abstract
Poor radiotherapy outcome is in many cases related to hypoxia, due to the increased radioresistance of hypoxic tumour cells. Positron emission tomography may be used to non-invasively assess the oxygenation status of the tumour using hypoxia-specific radiotracers. Quantification and interpretation of these images remains challenging, since radiotracer binding and oxygen tension are not uniquely related. Computer simulation is a useful tool to improve the understanding of tracer dynamics and its relation to clinical uptake parameters currently used to quantify hypoxia. In this study, a model for simulating oxygen and radiotracer distribution in tumours was implemented to analyse the impact of physiological transport parameters and of the arterial input function (AIF) on: oxygenation histograms, time-activity curves, tracer binding and clinical uptake-values (tissue-to-blood ratio, TBR, and a composed hypoxia-perfusion metric, FHP). Results were obtained for parallel and orthogonal vessel architectures and for vascular fractions (VFs) of 1% and 3%. The most sensitive parameters were the AIF and the maximum binding rate (Kmax). TBR allowed discriminating VF for different AIF, and FHP for different Kmax, but neither TBR nor FHP were unbiased in all cases. Biases may especially occur in the comparison of TBR- or FHP-values between different tumours, where the relation between measured and actual AIF may vary. Thus, these parameters represent only surrogates rather than absolute measurements of hypoxia in tumours.
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Affiliation(s)
- Isabela Paredes-Cisneros
- German Cancer Research Center (DKFZ), Department of Medical Physics in Radiation Oncology, Heidelberg, Germany; Heidelberg Institute for Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany; Heidelberg University, Faculty of Physics and Astronomy, Heidelberg, Germany.
| | - Christian P Karger
- German Cancer Research Center (DKFZ), Department of Medical Physics in Radiation Oncology, Heidelberg, Germany; Heidelberg Institute for Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
| | - Paola Caprile
- Pontificia Universidad Católica de Chile, Institute of Physics, Santiago, Chile
| | - David Nolte
- Universidad de Chile, Center for Mathematical Modeling, Santiago, Chile; University of Groningen, Johann Bernoulli Institute, Groningen, The Netherlands
| | - Ignacio Espinoza
- Pontificia Universidad Católica de Chile, Institute of Physics, Santiago, Chile
| | - Araceli Gago-Arias
- Pontificia Universidad Católica de Chile, Institute of Physics, Santiago, Chile; Instituto de Investigación Sanitaria de Santiago (IDIS), Group of Medical Physics and Biomathematics, Santiago de Compostela, Spain
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Latorre-Pellicer A, Lechuga-Vieco AV, Johnston IG, Hämäläinen RH, Pellico J, Justo-Méndez R, Fernández-Toro JM, Clavería C, Guaras A, Sierra R, Llop J, Torres M, Criado LM, Suomalainen A, Jones NS, Ruíz-Cabello J, Enríquez JA. Regulation of Mother-to-Offspring Transmission of mtDNA Heteroplasmy. Cell Metab 2019; 30:1120-1130.e5. [PMID: 31588014 PMCID: PMC6899444 DOI: 10.1016/j.cmet.2019.09.007] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 06/12/2019] [Accepted: 09/10/2019] [Indexed: 01/05/2023]
Abstract
mtDNA is present in multiple copies in each cell derived from the expansions of those in the oocyte. Heteroplasmy, more than one mtDNA variant, may be generated by mutagenesis, paternal mtDNA leakage, and novel medical technologies aiming to prevent inheritance of mtDNA-linked diseases. Heteroplasmy phenotypic impact remains poorly understood. Mouse studies led to contradictory models of random drift or haplotype selection for mother-to-offspring transmission of mtDNA heteroplasmy. Here, we show that mtDNA heteroplasmy affects embryo metabolism, cell fitness, and induced pluripotent stem cell (iPSC) generation. Thus, genetic and pharmacological interventions affecting oxidative phosphorylation (OXPHOS) modify competition among mtDNA haplotypes during oocyte development and/or at early embryonic stages. We show that heteroplasmy behavior can fall on a spectrum from random drift to strong selection, depending on mito-nuclear interactions and metabolic factors. Understanding heteroplasmy dynamics and its mechanisms provide novel knowledge of a fundamental biological process and enhance our ability to mitigate risks in clinical applications affecting mtDNA transmission.
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Affiliation(s)
- Ana Latorre-Pellicer
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain; Unit of Clinical Genetics and Functional Genomics, Department of Pharmacology-Physiology, School of Medicine, University of Zaragoza, ISS-Aragon, 50009 Zaragoza, Spain
| | - Ana Victoria Lechuga-Vieco
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain; CIBERES: C/ Melchor Fernández-Almagro 3, 28029 Madrid, Spain
| | - Iain G Johnston
- School of Biosciences, University of Birmingham, Birmingham, UK
| | - Riikka H Hämäläinen
- Department of Neurobiology, A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland; Research Program of Molecular Neurology, Biomedicum, University of Helsinki, Helsinki, Finland
| | - Juan Pellico
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain; CIBERES: C/ Melchor Fernández-Almagro 3, 28029 Madrid, Spain
| | - Raquel Justo-Méndez
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | | | - Cristina Clavería
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Adela Guaras
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Rocío Sierra
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Jordi Llop
- CIC biomaGUNE, Paseo Miramón No 182, San Sebastián, 20014 Guipúzcoa, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
| | - Miguel Torres
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Luis Miguel Criado
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Anu Suomalainen
- Research Program of Molecular Neurology, Biomedicum, University of Helsinki, Helsinki, Finland
| | - Nick S Jones
- Department of Mathematics, Imperial College London, London SW7 2BB, UK
| | - Jesús Ruíz-Cabello
- CIBERES: C/ Melchor Fernández-Almagro 3, 28029 Madrid, Spain; CIC biomaGUNE, Paseo Miramón No 182, San Sebastián, 20014 Guipúzcoa, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao, Spain; Universidad Complutense de Madrid, Madrid 28606, Spain
| | - José Antonio Enríquez
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain; CIBERFES: C/ Melchor Fernández-Almagro 3, 28029 Madrid, Spain.
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Xu Z, Li XF, Zou H, Sun X, Shen B. 18F-Fluoromisonidazole in tumor hypoxia imaging. Oncotarget 2017; 8:94969-94979. [PMID: 29212283 PMCID: PMC5706929 DOI: 10.18632/oncotarget.21662] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 09/21/2017] [Indexed: 12/19/2022] Open
Abstract
Hypoxia is a common feature of solid tumors that is closely associated with radiotherapy and chemotherapy resistance, metastasis and tumors prognosis. Thus, it is important to assess hypoxia in tumors for estimating prognosis and selecting appropriate treatment procedures. 18F-Fluoromisonidazole positron emission tomography (18F-FMISO PET) has been widely used to visualize tumor hypoxia in a comprehensive and noninvasive way, both in the clinical and preclinical settings. Here we review the concept, mechanisms and detection methods of tumor hypoxia. Furthermore, we discuss the correlation between 18F-FMISO PET and other detection methods, current applications of 18F-FMISO PET and the development prospects of this imaging technology.
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Affiliation(s)
- Zuoyu Xu
- Molecular Imaging Research Center (MIRC), Harbin Medical University, Harbin, Heilongjiang, China.,TOF-PET/CT/MR Center, The Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Xiao-Feng Li
- Molecular Imaging Research Center (MIRC), Harbin Medical University, Harbin, Heilongjiang, China.,TOF-PET/CT/MR Center, The Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Hongyan Zou
- Molecular Imaging Research Center (MIRC), Harbin Medical University, Harbin, Heilongjiang, China
| | - Xilin Sun
- Molecular Imaging Research Center (MIRC), Harbin Medical University, Harbin, Heilongjiang, China.,TOF-PET/CT/MR Center, The Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Baozhong Shen
- Molecular Imaging Research Center (MIRC), Harbin Medical University, Harbin, Heilongjiang, China.,TOF-PET/CT/MR Center, The Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, China
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12
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Heinzmann K, Carter LM, Lewis JS, Aboagye EO. Multiplexed imaging for diagnosis and therapy. Nat Biomed Eng 2017; 1:697-713. [PMID: 31015673 DOI: 10.1038/s41551-017-0131-8] [Citation(s) in RCA: 104] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 08/02/2017] [Indexed: 12/12/2022]
Abstract
Complex molecular and metabolic phenotypes depict cancers as a constellation of different diseases with common themes. Precision imaging of such phenotypes requires flexible and tunable modalities capable of identifying phenotypic fingerprints by using a restricted number of parameters while ensuring sensitivity to dynamic biological regulation. Common phenotypes can be detected by in vivo imaging technologies, and effectively define the emerging standards for disease classification and patient stratification in radiology. However, for the imaging data to accurately represent a complex fingerprint, the individual imaging parameters need to be measured and analysed in relation to their wider spatial and molecular context. In this respect, targeted palettes of molecular imaging probes facilitate the detection of heterogeneity in oncogene-driven alterations and their response to treatment, and lead to the expansion of rational-design elements for the combination of imaging experiments. In this Review, we evaluate criteria for conducting multiplexed imaging, and discuss its opportunities for improving patient diagnosis and the monitoring of therapy.
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Affiliation(s)
- Kathrin Heinzmann
- Department of Surgery and Cancer, Imperial College London, Du Cane Road, London, W12 0NN, UK
| | - Lukas M Carter
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Jason S Lewis
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Eric O Aboagye
- Department of Surgery and Cancer, Imperial College London, Du Cane Road, London, W12 0NN, UK.
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13
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Grimes DR, Warren DR, Warren S. Hypoxia imaging and radiotherapy: bridging the resolution gap. Br J Radiol 2017; 90:20160939. [PMID: 28540739 PMCID: PMC5603947 DOI: 10.1259/bjr.20160939] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Oxygen distribution is a major determinant of treatment success in radiotherapy, with well-oxygenated tumour regions responding by up to a factor of three relative to anoxic volumes. Conversely, tumour hypoxia is associated with treatment resistance and negative prognosis. Tumour oxygenation is highly heterogeneous and difficult to measure directly. The recent advent of functional hypoxia imaging modalities such as fluorine-18 fluoromisonidazole positron emission tomography have shown promise in non-invasively determining regions of low oxygen tension. This raises the prospect of selectively increasing dose to hypoxic subvolumes, a concept known as dose painting. Yet while this is a promising approach, oxygen-mediated radioresistance is inherently a multiscale problem, and there are still a number of substantial challenges that must be overcome if hypoxia dose painting is to be successfully implemented. Current imaging modalities are limited by the physics of such systems to have resolutions in the millimetre regime, whereas oxygen distribution varies over a micron scale, and treatment delivery is typically modulated on a centimetre scale. In this review, we examine the mechanistic basis and implications of the radiobiological oxygen effect, the factors influencing microscopic heterogeneity in tumour oxygenation and the consequent challenges in the interpretation of clinical hypoxia imaging (in particular fluorine-18 fluoromisonidazole positron emission tomography). We also discuss dose-painting approaches and outline challenges that must be addressed to improve this treatment paradigm.
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Affiliation(s)
- David Robert Grimes
- 1 Cancer Research UK/MRC Oxford Institute for Radiation Oncology, Gray Laboratory, University of Oxford, Old Road Campus Research Building, Off Roosevelt Drive, Oxford OX37DQ, UK.,2 Centre for Advanced and Interdisciplinary Radiation Research (CAIRR), School of Mathematics and Physics, Queen's University Belfast, UK
| | - Daniel R Warren
- 1 Cancer Research UK/MRC Oxford Institute for Radiation Oncology, Gray Laboratory, University of Oxford, Old Road Campus Research Building, Off Roosevelt Drive, Oxford OX37DQ, UK
| | - Samantha Warren
- 1 Cancer Research UK/MRC Oxford Institute for Radiation Oncology, Gray Laboratory, University of Oxford, Old Road Campus Research Building, Off Roosevelt Drive, Oxford OX37DQ, UK.,3 Hall-Edwards Radiotherapy Research Group, Queen Elizabeth Hospital, Birmingham, UK
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