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Helm A, Fournier C. High-LET charged particles: radiobiology and application for new approaches in radiotherapy. Strahlenther Onkol 2023; 199:1225-1241. [PMID: 37872399 PMCID: PMC10674019 DOI: 10.1007/s00066-023-02158-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 09/17/2023] [Indexed: 10/25/2023]
Abstract
The number of patients treated with charged-particle radiotherapy as well as the number of treatment centers is increasing worldwide, particularly regarding protons. However, high-linear energy transfer (LET) particles, mainly carbon ions, are of special interest for application in radiotherapy, as their special physical features result in high precision and hence lower toxicity, and at the same time in increased efficiency in cell inactivation in the target region, i.e., the tumor. The radiobiology of high-LET particles differs with respect to DNA damage repair, cytogenetic damage, and cell death type, and their increased LET can tackle cells' resistance to hypoxia. Recent developments and perspectives, e.g., the return of high-LET particle therapy to the US with a center planned at Mayo clinics, the application of carbon ion radiotherapy using cost-reducing cyclotrons and the application of helium is foreseen to increase the interest in this type of radiotherapy. However, further preclinical research is needed to better understand the differential radiobiological mechanisms as opposed to photon radiotherapy, which will help to guide future clinical studies for optimal exploitation of high-LET particle therapy, in particular related to new concepts and innovative approaches. Herein, we summarize the basics and recent progress in high-LET particle radiobiology with a focus on carbon ions and discuss the implications of current knowledge for charged-particle radiotherapy. We emphasize the potential of high-LET particles with respect to immunogenicity and especially their combination with immunotherapy.
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Affiliation(s)
- Alexander Helm
- Biophysics Department, GSI Helmholtz Center for Heavy Ion Research, Darmstadt, Germany
| | - Claudia Fournier
- Biophysics Department, GSI Helmholtz Center for Heavy Ion Research, Darmstadt, Germany.
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2
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Mittal S, Mallia MB. Molecular imaging of tumor hypoxia: Evolution of nitroimidazole radiopharmaceuticals and insights for future development. Bioorg Chem 2023; 139:106687. [PMID: 37406518 DOI: 10.1016/j.bioorg.2023.106687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/15/2023] [Indexed: 07/07/2023]
Abstract
Though growing evidence has been collected in support of the concept of dose escalation based on the molecular level images indicating hypoxic tumor sub-volumes that could be radio-resistant, validation of the concept is still a work in progress. Molecular imaging of tumor hypoxia using radiopharmaceuticals is expected to provide the required input to plan dose escalation through Image Guided Radiation Therapy (IGRT) to kill/control the radio-resistant hypoxic tumor cells. The success of the IGRT, therefore, is heavily dependent on the quality of images obtained using the radiopharmaceutical and the extent to which the image represents the true hypoxic status of the tumor in spite of the heterogeneous nature of tumor hypoxia. Available literature on radiopharmaceuticals for imaging hypoxia is highly skewed in favor of nitroimidazole as the pharmacophore given their ability to undergo oxygen dependent reduction in hypoxic cells. In this context, present review on nitroimidazole radiopharmaceuticals would be immensely helpful to the researchers to obtain a birds-eye view on what has been achieved so far and what can be tried differently to obtain a better hypoxia imaging agent. The review also covers various methods of radiolabeling that could be utilized for developing radiotracers for hypoxia targeting applications.
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Affiliation(s)
- Sweety Mittal
- Radiopharmaceuticals Division, Bhabha Atomic Research Center, Mumbai 400085, India.
| | - Madhava B Mallia
- Radiopharmaceuticals Division, Bhabha Atomic Research Center, Mumbai 400085, India; Homi Bhabha National Institute, Anushaktinagar, Mumbai 400094, India.
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3
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Perez RC, Kim D, Maxwell AWP, Camacho JC. Functional Imaging of Hypoxia: PET and MRI. Cancers (Basel) 2023; 15:3336. [PMID: 37444446 DOI: 10.3390/cancers15133336] [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: 05/03/2023] [Revised: 06/22/2023] [Accepted: 06/22/2023] [Indexed: 07/15/2023] Open
Abstract
Molecular and functional imaging have critical roles in cancer care. Existing evidence suggests that noninvasive detection of hypoxia within a particular type of cancer can provide new information regarding the relationship between hypoxia, cancer aggressiveness and altered therapeutic responses. Following the identification of hypoxia inducible factor (HIF), significant progress in understanding the regulation of hypoxia-induced genes has been made. These advances have provided the ability to therapeutically target HIF and tumor-associated hypoxia. Therefore, by utilizing the molecular basis of hypoxia, hypoxia-based theranostic strategies are in the process of being developed which will further personalize care for cancer patients. The aim of this review is to provide an overview of the significance of tumor hypoxia and its relevance in cancer management as well as to lay out the role of imaging in detecting hypoxia within the context of cancer.
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Affiliation(s)
- Ryan C Perez
- Florida State University College of Medicine, Tallahassee, FL 32306, USA
| | - DaeHee Kim
- Department of Diagnostic Imaging, The Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Aaron W P Maxwell
- Department of Diagnostic Imaging, The Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Juan C Camacho
- Department of Clinical Sciences, Florida State University College of Medicine, Tallahassee, FL 32306, USA
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4
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Hami R, Apeke S, Redou P, Gaubert L, Dubois LJ, Lambin P, Visvikis D, Boussion N. Predicting the Tumour Response to Radiation by Modelling the Five Rs of Radiotherapy Using PET Images. J Imaging 2023; 9:124. [PMID: 37367472 DOI: 10.3390/jimaging9060124] [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: 05/23/2023] [Revised: 06/10/2023] [Accepted: 06/13/2023] [Indexed: 06/28/2023] Open
Abstract
Despite the intensive use of radiotherapy in clinical practice, its effectiveness depends on several factors. Several studies showed that the tumour response to radiation differs from one patient to another. The non-uniform response of the tumour is mainly caused by multiple interactions between the tumour microenvironment and healthy cells. To understand these interactions, five major biologic concepts called the "5 Rs" have emerged. These concepts include reoxygenation, DNA damage repair, cell cycle redistribution, cellular radiosensitivity and cellular repopulation. In this study, we used a multi-scale model, which included the five Rs of radiotherapy, to predict the effects of radiation on tumour growth. In this model, the oxygen level was varied in both time and space. When radiotherapy was given, the sensitivity of cells depending on their location in the cell cycle was taken in account. This model also considered the repair of cells by giving a different probability of survival after radiation for tumour and normal cells. Here, we developed four fractionation protocol schemes. We used simulated and positron emission tomography (PET) imaging with the hypoxia tracer 18F-flortanidazole (18F-HX4) images as input data of our model. In addition, tumour control probability curves were simulated. The result showed the evolution of tumours and normal cells. The increase in the cell number after radiation was seen in both normal and malignant cells, which proves that repopulation was included in this model. The proposed model predicts the tumour response to radiation and forms the basis for a more patient-specific clinical tool where related biological data will be included.
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Affiliation(s)
- Rihab Hami
- INSERM UMR 1101 "LaTIM", CEDEX 3, 29238 Brest, France
| | - Sena Apeke
- INSERM UMR 1101 "LaTIM", CEDEX 3, 29238 Brest, France
- CERV, European Center for Virtual Reality, ENIB, CEDEX 3, 29238 Brest, France
| | - Pascal Redou
- INSERM UMR 1101 "LaTIM", CEDEX 3, 29238 Brest, France
- CERV, European Center for Virtual Reality, ENIB, CEDEX 3, 29238 Brest, France
| | - Laurent Gaubert
- INSERM UMR 1101 "LaTIM", CEDEX 3, 29238 Brest, France
- CERV, European Center for Virtual Reality, ENIB, CEDEX 3, 29238 Brest, France
| | - Ludwig J Dubois
- The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, 6211 LK Maastricht, The Netherlands
| | - Philippe Lambin
- The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, 6211 LK Maastricht, The Netherlands
| | - Dimitris Visvikis
- INSERM UMR 1101 "LaTIM", CEDEX 3, 29238 Brest, France
- CHRU BREST, 29200 Brest, France
| | - Nicolas Boussion
- INSERM UMR 1101 "LaTIM", CEDEX 3, 29238 Brest, France
- CHRU BREST, 29200 Brest, France
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5
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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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6
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Zhu J, Pan F, Cai H, Pan L, Li Y, Li L, Li Y, Wu X, Fan H. Positron emission tomography imaging of lung cancer: An overview of alternative positron emission tomography tracers beyond F18 fluorodeoxyglucose. Front Med (Lausanne) 2022; 9:945602. [PMID: 36275809 PMCID: PMC9581209 DOI: 10.3389/fmed.2022.945602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 08/31/2022] [Indexed: 11/13/2022] Open
Abstract
Lung cancer has been the leading cause of cancer-related mortality in China in recent decades. Positron emission tomography-computer tomography (PET/CT) has been established in the diagnosis of lung cancer. 18F-FDG is the most widely used PET tracer in foci diagnosis, tumor staging, treatment planning, and prognosis assessment by monitoring abnormally exuberant glucose metabolism in tumors. However, with the increasing knowledge on tumor heterogeneity and biological characteristics in lung cancer, a variety of novel radiotracers beyond 18F-FDG for PET imaging have been developed. For example, PET tracers that target cellular proliferation, amino acid metabolism and transportation, tumor hypoxia, angiogenesis, pulmonary NETs and other targets, such as tyrosine kinases and cancer-associated fibroblasts, have been reported, evaluated in animal models or under clinical investigations in recent years and play increasing roles in lung cancer diagnosis. Thus, we perform a comprehensive literature review of the radiopharmaceuticals and recent progress in PET tracers for the study of lung cancer biological characteristics beyond glucose metabolism.
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Affiliation(s)
- Jing Zhu
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China,Respiratory and Critical Care Medicine, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China,NHC Key Laboratory of Nuclear Technology Medical Transformation, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Fei Pan
- Department of Nuclear Medicine, Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Huawei Cai
- Department of Nuclear Medicine, Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Lili Pan
- Department of Nuclear Medicine, Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Yalun Li
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Lin Li
- Department of Nuclear Medicine, Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - YunChun Li
- Department of Nuclear Medicine, Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, China,Department of Nuclear Medicine, The Second People’s Hospital of Yibin, Yibin, China
| | - Xiaoai Wu
- Department of Nuclear Medicine, Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, China,Xiaoai Wu,
| | - Hong Fan
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China,*Correspondence: Hong Fan,
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7
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Gallez B. The Role of Imaging Biomarkers to Guide Pharmacological Interventions Targeting Tumor Hypoxia. Front Pharmacol 2022; 13:853568. [PMID: 35910347 PMCID: PMC9335493 DOI: 10.3389/fphar.2022.853568] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 06/23/2022] [Indexed: 12/12/2022] Open
Abstract
Hypoxia is a common feature of solid tumors that contributes to angiogenesis, invasiveness, metastasis, altered metabolism and genomic instability. As hypoxia is a major actor in tumor progression and resistance to radiotherapy, chemotherapy and immunotherapy, multiple approaches have emerged to target tumor hypoxia. It includes among others pharmacological interventions designed to alleviate tumor hypoxia at the time of radiation therapy, prodrugs that are selectively activated in hypoxic cells or inhibitors of molecular targets involved in hypoxic cell survival (i.e., hypoxia inducible factors HIFs, PI3K/AKT/mTOR pathway, unfolded protein response). While numerous strategies were successful in pre-clinical models, their translation in the clinical practice has been disappointing so far. This therapeutic failure often results from the absence of appropriate stratification of patients that could benefit from targeted interventions. Companion diagnostics may help at different levels of the research and development, and in matching a patient to a specific intervention targeting hypoxia. In this review, we discuss the relative merits of the existing hypoxia biomarkers, their current status and the challenges for their future validation as companion diagnostics adapted to the nature of the intervention.
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8
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Shah RP, Laeseke PF, Shin LK, Chin FT, Kothary N, Segall GM. Limitations of Fluorine 18 Fluoromisonidazole in Assessing Treatment-induced Tissue Hypoxia after Transcatheter Arterial Embolization of Hepatocellular Carcinoma: A Prospective Pilot Study. Radiol Imaging Cancer 2022; 4:e210094. [PMID: 35485937 PMCID: PMC9152693 DOI: 10.1148/rycan.210094] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Purpose To determine the variance and correlation with tumor viability of fluorine 18 (18F) fluoromisonidazole (FMISO) uptake in hepatocellular carcinoma (HCC) prior to and after embolization treatment. Materials and Methods In this single-arm, single-center, prospective pilot study between September 2016 and March 2017, participants with at least one tumor measuring 1.5 cm or larger with imaging or histologic findings diagnostic for HCC were enrolled (five men; mean age, 68 years; age range, 61-76 years). Participants underwent 18F-FMISO PET/CT before and after bland embolization of HCC. A tumor-to-liver ratio (TLR) was calculated by using standardized uptake values of tumor and liver. The difference in mean TLR before and after treatment was compared by using a Wilcoxon rank sum test, and correlation between TLR and tumor viability was assessed by using the Spearman rank correlation coefficient. Results Four participants with five tumors were included in the final analysis. The median tumor diameter was 3.2 cm (IQR, 3.0-3.9 cm). The median TLR before treatment was 0.97 (IQR, 0.88-0.98), with a variance of 0.02, and the median TLR after treatment was 0.85 (IQR, 0.79-1), with a variance of 0.01; both findings indicate a narrow range of 18F-FMISO uptake in HCC. The Spearman rank correlation coefficient was 0.87, indicating a high correlation between change in TLR and nonviable tumor. Conclusion Although there was a correlation between change in TLR and response to treatment, the low signal-to-noise ratio of 18F-FMISO in the liver limited its use in HCC. Keywords: Molecular Imaging-Clinical Translation, Embolization, Abdomen/Gastrointestinal, Liver Clinical trial registration no. NCT02695628 © RSNA, 2022.
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Affiliation(s)
- Rajesh P Shah
- From the Department of Radiology, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Ave, MC 114, Palo Alto, CA 94304 (R.P.S., G.M.S.); Department of Radiology, Stanford University, Stanford, Calif (R.P.S., N.K., G.M.S.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (P.F.L.); Department of Radiology, Banner MD Anderson Cancer Center, Gilbert, Ariz (L.K.S.); and Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, Calif (F.T.C.)
| | - Paul F Laeseke
- From the Department of Radiology, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Ave, MC 114, Palo Alto, CA 94304 (R.P.S., G.M.S.); Department of Radiology, Stanford University, Stanford, Calif (R.P.S., N.K., G.M.S.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (P.F.L.); Department of Radiology, Banner MD Anderson Cancer Center, Gilbert, Ariz (L.K.S.); and Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, Calif (F.T.C.)
| | - Lewis K Shin
- From the Department of Radiology, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Ave, MC 114, Palo Alto, CA 94304 (R.P.S., G.M.S.); Department of Radiology, Stanford University, Stanford, Calif (R.P.S., N.K., G.M.S.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (P.F.L.); Department of Radiology, Banner MD Anderson Cancer Center, Gilbert, Ariz (L.K.S.); and Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, Calif (F.T.C.)
| | - Frederick T Chin
- From the Department of Radiology, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Ave, MC 114, Palo Alto, CA 94304 (R.P.S., G.M.S.); Department of Radiology, Stanford University, Stanford, Calif (R.P.S., N.K., G.M.S.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (P.F.L.); Department of Radiology, Banner MD Anderson Cancer Center, Gilbert, Ariz (L.K.S.); and Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, Calif (F.T.C.)
| | - Nishita Kothary
- From the Department of Radiology, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Ave, MC 114, Palo Alto, CA 94304 (R.P.S., G.M.S.); Department of Radiology, Stanford University, Stanford, Calif (R.P.S., N.K., G.M.S.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (P.F.L.); Department of Radiology, Banner MD Anderson Cancer Center, Gilbert, Ariz (L.K.S.); and Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, Calif (F.T.C.)
| | - George M Segall
- From the Department of Radiology, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Ave, MC 114, Palo Alto, CA 94304 (R.P.S., G.M.S.); Department of Radiology, Stanford University, Stanford, Calif (R.P.S., N.K., G.M.S.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (P.F.L.); Department of Radiology, Banner MD Anderson Cancer Center, Gilbert, Ariz (L.K.S.); and Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, Calif (F.T.C.)
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9
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van Genugten EAJ, Weijers JAM, Heskamp S, Kneilling M, van den Heuvel MM, Piet B, Bussink J, Hendriks LEL, Aarntzen EHJG. Imaging the Rewired Metabolism in Lung Cancer in Relation to Immune Therapy. Front Oncol 2022; 11:786089. [PMID: 35070990 PMCID: PMC8779734 DOI: 10.3389/fonc.2021.786089] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 12/10/2021] [Indexed: 12/14/2022] Open
Abstract
Metabolic reprogramming is recognized as one of the hallmarks of cancer. Alterations in the micro-environmental metabolic characteristics are recognized as important tools for cancer cells to interact with the resident and infiltrating T-cells within this tumor microenvironment. Cancer-induced metabolic changes in the micro-environment also affect treatment outcomes. In particular, immune therapy efficacy might be blunted because of somatic mutation-driven metabolic determinants of lung cancer such as acidity and oxygenation status. Based on these observations, new onco-immunological treatment strategies increasingly include drugs that interfere with metabolic pathways that consequently affect the composition of the lung cancer tumor microenvironment (TME). Positron emission tomography (PET) imaging has developed a wide array of tracers targeting metabolic pathways, originally intended to improve cancer detection and staging. Paralleling the developments in understanding metabolic reprogramming in cancer cells, as well as its effects on stromal, immune, and endothelial cells, a wave of studies with additional imaging tracers has been published. These tracers are yet underexploited in the perspective of immune therapy. In this review, we provide an overview of currently available PET tracers for clinical studies and discuss their potential roles in the development of effective immune therapeutic strategies, with a focus on lung cancer. We report on ongoing efforts that include PET/CT to understand the outcomes of interactions between cancer cells and T-cells in the lung cancer microenvironment, and we identify areas of research which are yet unchartered. Thereby, we aim to provide a starting point for molecular imaging driven studies to understand and exploit metabolic features of lung cancer to optimize immune therapy.
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Affiliation(s)
- Evelien A J van Genugten
- Department of Medical Imaging, Radboud University Medical Centre (Radboudumc), Nijmegen, Netherlands
| | - Jetty A M Weijers
- Department of Medical Imaging, Radboud University Medical Centre (Radboudumc), Nijmegen, Netherlands
| | - Sandra Heskamp
- Department of Medical Imaging, Radboud University Medical Centre (Radboudumc), Nijmegen, Netherlands
| | - Manfred Kneilling
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, Eberhard Karls University, Tuebingen, Germany.,Department of Dermatology, Eberhard Karls University, Tuebingen, Germany
| | | | - Berber Piet
- Department of Respiratory Diseases, Radboudumc, Nijmegen, Netherlands
| | - Johan Bussink
- Radiotherapy and OncoImmunology Laboratory, Department of Radiation Oncology, Radboudumc, Netherlands
| | - Lizza E L Hendriks
- Department of Pulmonary Diseases, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre (UMC), Maastricht, Netherlands
| | - Erik H J G Aarntzen
- Department of Medical Imaging, Radboud University Medical Centre (Radboudumc), Nijmegen, Netherlands
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10
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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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [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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11
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Molecular Imaging of Vulnerable Coronary Plaque with Radiolabeled Somatostatin Receptors (SSTR). J Clin Med 2021; 10:jcm10235515. [PMID: 34884218 PMCID: PMC8658082 DOI: 10.3390/jcm10235515] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 11/21/2021] [Accepted: 11/23/2021] [Indexed: 12/25/2022] Open
Abstract
Atherosclerosis is responsible for the majority of heart attacks and is characterized by several modifications of the arterial wall including an inflammatory reaction. The silent course of atherosclerosis has made it necessary to develop predictors of disease complications before symptomatic lesions occur. Vulnerable to rupture atherosclerotic plaques are the target for molecular imaging. To this aim, different radiopharmaceuticals for PET/CT have emerged for the identification of high-risk plaques, with high specificity for the identification of the cellular components and pathophysiological status of plaques. By targeting specific receptors on activated macrophages in high-risk plaques, radiolabelled somatostatin analogues such as 68Ga-DOTA-TOC, TATE,0 or NOC have shown high relevance to detect vulnerable, atherosclerotic plaques. This PET radiopharmaceutical has been tested in several pre-clinical and clinical studies, as reviewed here, showing an important correlation with other risk factors.
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12
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Li X, Fang X, Li S, Lui KH, Lo WS, Gu Y, Wong WT. Nitroreductase-Induced Aggregation of Gold Nanoparticles for "Off-On" Photoacoustic Imaging of Tumor Hypoxia. J Biomed Nanotechnol 2021; 17:2186-2197. [PMID: 34906279 DOI: 10.1166/jbn.2021.3195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Hypoxia is an important phenomenon due to insufficient oxygen supply in tumor tissue, and nitroreductase (NTR) is a characteristic enzyme used for evaluating hypoxia level in tumors. In this work, we designed a smart gold nanoparticle (AuNPs), modified by 16-mercaptoundecanoic acid (MHDA) and hypoxia-responsive 11-(2-nitro-1H-imidazol-1-yl)undecane-1-thiol (NI) ligand, that responds to the hypoxic environment in tumor sites. With proper surface ligand composition, the responsive nanoprobe exhibited aggregation through the bioreduction of the nitro group on NI ligands under hypoxic conditions and the UV-vis absorption peak maximum would shift to 630 nm from 530 nm, which acts as an "off-on" contrast agent for tumor hypoxic photoacoustic (PA) imaging. In vitro and in vivo experiments revealed that AuNPs@MHDA/NO₂ exhibited an enhanced PA signal in hypoxic conditions. This study demonstrates the potential of hypoxia-responsive AuNPs as novel and sensitive diagnostic agents, which lays a firm foundation for precise cancer treatment in the future.
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Affiliation(s)
- Xin Li
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
| | - Xueyang Fang
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
| | - Shiying Li
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
| | - Kwok-Ho Lui
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
| | - Wai-Sum Lo
- The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China
| | - Yanjuan Gu
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
| | - Wing-Tak Wong
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
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13
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Huang Y, Fan J, Li Y, Fu S, Chen Y, Wu J. Imaging of Tumor Hypoxia With Radionuclide-Labeled Tracers for PET. Front Oncol 2021; 11:731503. [PMID: 34557414 PMCID: PMC8454408 DOI: 10.3389/fonc.2021.731503] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 08/19/2021] [Indexed: 01/27/2023] Open
Abstract
The hypoxic state in a solid tumor refers to the internal hypoxic environment that appears as the tumor volume increases (the maximum radius exceeds 180-200 microns). This state can promote angiogenesis, destroy the balance of the cell’s internal environment, and lead to resistance to radiotherapy and chemotherapy, as well as poor prognostic factors such as metastasis and recurrence. Therefore, accurate quantification, mapping, and monitoring of hypoxia, targeted therapy, and improvement of tumor hypoxia are of great significance for tumor treatment and improving patient survival. Despite many years of development, PET-based hypoxia imaging is still the most widely used evaluation method. This article provides a comprehensive overview of tumor hypoxia imaging using radionuclide-labeled PET tracers. We introduced the mechanism of tumor hypoxia and the reasons leading to the poor prognosis, and more comprehensively included the past, recent and ongoing studies of PET radiotracers for tumor hypoxia imaging. At the same time, the advantages and disadvantages of mainstream methods for detecting tumor hypoxia are summarized.
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Affiliation(s)
- Yuan Huang
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Junying Fan
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yi Li
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Shaozhi Fu
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.,Department of Oncology, Academician (Expert) Workstation of Sichuan Province, Luzhou, China
| | - Yue Chen
- Department of Oncology, Academician (Expert) Workstation of Sichuan Province, Luzhou, China.,Nuclear Medicine and Molecular Imaging key Laboratory of Sichuan Province, Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Jingbo Wu
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.,Department of Oncology, Academician (Expert) Workstation of Sichuan Province, Luzhou, China
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14
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Huizing FJ, Hoeben BAW, Lok J, Boerman OC, Heskamp S, Bussink J. Imaging carbonic anhydrase IX as a method for monitoring hypoxia-related radioresistance in preclinical head and neck cancer models. PHYSICS & IMAGING IN RADIATION ONCOLOGY 2021; 19:145-150. [PMID: 34485720 PMCID: PMC8397885 DOI: 10.1016/j.phro.2021.08.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 07/21/2021] [Accepted: 08/11/2021] [Indexed: 12/03/2022]
Abstract
Background and purpose Tumor hypoxia is an important cause of radioresistance and is associated with poor outcome. SPECT (Single-photon emission computed tomography) imaging enables visualizing tumor characteristics. We investigated the SPECT-radiotracer [111In]-girentuximab-F(ab’)2 to image Carbonic Anhydrase IX (CAIX), an enzyme upregulated under hypoxic conditions. Materials and methods Athymic mice with subcutaneous FaDu or SCCNij202 head and neck squamous cell carcinoma (HNSCC) xenografts were treated with atovaquone or were housed in a hypoxic chamber (8% O2). Next, [111In]-girentuximab-F(ab’)2 was injected and 24 h later mice were euthanized for ex vivo biodistribution, autoradiography of the tumor, and immunohistochemical staining of the tumor. Tumor sections were analyzed for hypoxia, CAIX expression, vessels, and perfusion. Also, the effect of atovaquone on microSPECT scans was determined in the FaDu model. Results Atovaquone decreased CAIX expression by 69% (p = 0.017) compared with control tumors in FaDu, while in the SCCNij202 tumors no difference was observed. Hypoxic breathing did not increase CAIX expression or hypoxia staining in either tumor model, but did affect the necrotic tumor fraction. Ex vivo tracer uptake in the atovaquone treated group did not differ significantly from the control group, despite the difference in CAIX expression. Furthermore, SPECT imaging with [111In]-girentuximab-F(ab’)2 did not discriminate atovaquone-treated versus control tumors. Conclusion Atovaquone decreased CAIX expression only in the FaDu tumor model. [111In]-girentuximab-F(ab’)2 specifically targets CAIX-expressing areas in HNSCC xenografts, but differences in vessel density and necrosis most likely affected tracer uptake in the tumors and therefore complicated quantification of changes in CAIX expression.
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Affiliation(s)
- Fokko J Huizing
- Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Bianca A W Hoeben
- Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jasper Lok
- Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Otto C Boerman
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Sandra Heskamp
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Johan Bussink
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
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15
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Rashed FB, Stoica AC, MacDonald D, El-Saidi H, Ricardo C, Bhatt B, Moore J, Diaz-Dussan D, Ramamonjisoa N, Mowery Y, Damaraju S, Fahlman R, Kumar P, Weinfeld M. Identification of proteins and cellular pathways targeted by 2-nitroimidazole hypoxic cytotoxins. Redox Biol 2021; 41:101905. [PMID: 33640700 PMCID: PMC7933538 DOI: 10.1016/j.redox.2021.101905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 01/22/2021] [Accepted: 02/15/2021] [Indexed: 11/24/2022] Open
Abstract
Tumour hypoxia negatively impacts therapy outcomes and continues to be a major unsolved clinical problem. Nitroimidazoles are hypoxia selective compounds that become entrapped in hypoxic cells by forming drug-protein adducts. They are widely used as hypoxia diagnostics and have also shown promise as hypoxia-directed therapeutics. However, little is known about the protein targets of nitroimidazoles and the resulting effects of their modification on cancer cells. Here, we report the synthesis and applications of azidoazomycin arabinofuranoside (N3-AZA), a novel click-chemistry compatible 2-nitroimidazole, designed to facilitate (a) the LC-MS/MS-based proteomic analysis of 2-nitroimidazole targeted proteins in FaDu head and neck cancer cells, and (b) rapid and efficient labelling of hypoxic cells and tissues. Bioinformatic analysis revealed that many of the 62 target proteins we identified participate in key canonical pathways including glycolysis and HIF1A signaling that play critical roles in the cellular response to hypoxia. Critical cellular proteins such as the glycolytic enzyme glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and the detoxification enzyme glutathione S-transferase P (GSTP1) appeared as top hits, and N3-AZA adduct formation significantly reduced their enzymatic activities only under hypoxia. Therefore, GAPDH, GSTP1 and other proteins reported here may represent candidate targets to further enhance the potential for nitroimidazole-based cancer therapeutics.
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Affiliation(s)
- Faisal Bin Rashed
- Department of Oncology, University of Alberta, Edmonton, AB, T6G2R3, Canada
| | | | - Dawn MacDonald
- Department of Oncology, University of Alberta, Edmonton, AB, T6G2R3, Canada
| | - Hassan El-Saidi
- Department of Oncology, University of Alberta, Edmonton, AB, T6G2R3, Canada; Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Alexandria, El Sultan Hussein St. Azarita, Alexandria, Egypt
| | - Carolynne Ricardo
- Department of Oncology, University of Alberta, Edmonton, AB, T6G2R3, Canada
| | - Bhumi Bhatt
- Department of Laboratory Medicine & Pathology, University of Alberta, Edmonton, AB, T6G2R3, Canada
| | - Jack Moore
- Alberta Proteomics and Mass Spectrometry Facility, University of Alberta, Edmonton, AB, T6G2R3, Canada
| | - Diana Diaz-Dussan
- Department of Chemical & Materials Engineering, University of Alberta, Edmonton, AB, T6G2R3, Canada
| | | | - Yvonne Mowery
- Radiation Oncology, School of Medicine, Duke University, Durham, NC, 27708, United States
| | - Sambasivarao Damaraju
- Department of Laboratory Medicine & Pathology, University of Alberta, Edmonton, AB, T6G2R3, Canada
| | - Richard Fahlman
- Department of Biochemistry, University of Alberta, Edmonton, AB, T6G2R3, Canada
| | - Piyush Kumar
- Department of Oncology, University of Alberta, Edmonton, AB, T6G2R3, Canada.
| | - Michael Weinfeld
- Department of Oncology, University of Alberta, Edmonton, AB, T6G2R3, Canada.
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16
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D'Alonzo RA, Gill S, Rowshanfarzad P, Keam S, MacKinnon KM, Cook AM, Ebert MA. In vivo noninvasive preclinical tumor hypoxia imaging methods: a review. Int J Radiat Biol 2021; 97:593-631. [PMID: 33703994 DOI: 10.1080/09553002.2021.1900943] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Tumors exhibit areas of decreased oxygenation due to malformed blood vessels. This low oxygen concentration decreases the effectiveness of radiation therapy, and the resulting poor perfusion can prevent drugs from reaching areas of the tumor. Tumor hypoxia is associated with poorer prognosis and disease progression, and is therefore of interest to preclinical researchers. Although there are multiple different ways to measure tumor hypoxia and related factors, there is no standard for quantifying spatial and temporal tumor hypoxia distributions in preclinical research or in the clinic. This review compares imaging methods utilized for the purpose of assessing spatio-temporal patterns of hypoxia in the preclinical setting. Imaging methods provide varying levels of spatial and temporal resolution regarding different aspects of hypoxia, and with varying advantages and disadvantages. The choice of modality requires consideration of the specific experimental model, the nature of the required characterization and the availability of complementary modalities as well as immunohistochemistry.
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Affiliation(s)
- Rebecca A D'Alonzo
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, Australia
| | - Suki Gill
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, Australia.,Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, Australia
| | - Pejman Rowshanfarzad
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, Australia
| | - Synat Keam
- School of Medicine, The University of Western Australia, Crawley, Australia
| | - Kelly M MacKinnon
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, Australia
| | - Alistair M Cook
- School of Medicine, The University of Western Australia, Crawley, Australia
| | - Martin A Ebert
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, Australia.,Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, Australia.,5D Clinics, Claremont, Australia
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17
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Lu J, Zhang C, Yang X, Yao XJ, Zhang Q, Sun XC. Synthesis and Preliminary Evaluation of a Novel 18F-Labeled 2-Nitroimidazole Derivative for Hypoxia Imaging. Front Oncol 2021; 10:572097. [PMID: 33604284 PMCID: PMC7884749 DOI: 10.3389/fonc.2020.572097] [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: 06/15/2020] [Accepted: 12/09/2020] [Indexed: 11/13/2022] Open
Abstract
Objective Hypoxia is prevalent in tumors and plays a pivotal role in resistance to chemoradiotherapy. 18F-MISO (18F-labeled fluoromisonidazole) is currently the preferred choice of PET hypoxia tracers in clinical practice, but has severe disadvantages involving complex labeling methods and low efficient imaging due to lipophilicity. We aimed to design a novel nitroimidazole derivative labeled by 18F via a chelation technique to detect hypoxic regions and provide a basis for planning radiotherapy. Materials and Methods First, we synthesized a 2-nitroimidazole precursor, 2-[4-(carboxymethyl)-7-[2-(2-(2-nitro-1H-imidazol-1-yl)acetamido)ethyl]-1,4,7-triazanonan-1-yl]acetic acid (NOTA-NI). For 18F-labeling, a 18F solution was reacted with a mixture of AlCl3 and NOTA-NI at pH 3.5 and 100°C for 20 min, and the radiochemical purity and stability were evaluated. Biological behaviors of Al18F-NOTA-NI were analyzed by an uptake study in ECA109 normoxic and hypoxic cells, and a biodistribution study and microPET imaging in ECA109 xenografted mice. Results Al18F-NOTA-NI required a straightforward and efficient labeling procedure compared with 18F-MISO. The uptake values were distinctly higher in hypoxic tumor cells. Animal studies revealed that the imaging agent was principally excreted via the kidneys. Due to hydrophilicity, the radioactivities in blood and muscle were decreased, and we could clearly distinguish xenografted tumors from para-carcinoma tissue by PET imaging. Conclusions The nitroimidazole tracer Al18F-NOTA-NI steadily accumulated in hypoxic areas in tumors and was rapidly eliminated from normal tissue. It appears to be a promising candidate for hypoxia imaging with high sensitivity and resolution.
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Affiliation(s)
- Jing Lu
- Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.,Department of Health Promotion Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Chi Zhang
- Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xi Yang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xi-Juan Yao
- Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qun Zhang
- Department of Health Promotion Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xin-Chen Sun
- Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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18
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Abstract
Over the last few years, cancer immunotherapy experienced tremendous developments and it is nowadays considered a promising strategy against many types of cancer. However, the exclusion of lymphocytes from the tumor nest is a common phenomenon that limits the efficiency of immunotherapy in solid tumors. Despite several mechanisms proposed during the years to explain the immune excluded phenotype, at present, there is no integrated understanding about the role played by different models of immune exclusion in human cancers. Hypoxia is a hallmark of most solid tumors and, being a multifaceted and complex condition, shapes in a unique way the tumor microenvironment, affecting gene transcription and chromatin remodeling. In this review, we speculate about an upstream role for hypoxia as a common biological determinant of immune exclusion in solid tumors. We also discuss the current state of ex vivo and in vivo imaging of hypoxic determinants in relation to T cell distribution that could mechanisms of immune exclusion and discover functional-morphological tumor features that could support clinical monitoring.
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19
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Lopes S, Ferreira S, Caetano M. PET/CT in the Evaluation of Hypoxia for Radiotherapy Planning in Head and Neck Tumors: Systematic Literature Review. J Nucl Med Technol 2020; 49:107-113. [PMID: 33361182 DOI: 10.2967/jnmt.120.249540] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 11/09/2020] [Indexed: 11/16/2022] Open
Abstract
PET/CT combines imaging at the molecular level along with imaging at the anatomic level, which, with the administration of a hypoxia-sensitive radiopharmaceutical, allows evaluation of tissue oxygenation. Methods: This work consisted of a systematic literature review that included websites, books, and articles dated from July 1997 to December 2019. The aim was to identify the PET radiopharmaceuticals best suited to the detection of cell hypoxia and to recognize the benefits for planning intensity-modulated radiation therapy (IMRT) and volumetric arc therapy (VMAT). Results: Hypoxia affects the likelihood of cure for head and neck tumors, reducing the success rate. Radiopharmaceuticals such as 18F-fluoromisonidazole, 18F-fluoroerythronitromidazole, and 18F-HX4 (18F-3-fluoro-2-(4-((2-nitro-1H-imidazol-1-yl)methyl)-1H-1,2,3-triazol-1-yl)propan-1-ol) allow the delineation of hypoxic subvolumes within the target volume to optimize IMRT/VMAT. Conclusion: Identification of hypoxic areas with PET/CT imaging and use of subsequent IMRT/VMAT allows for possible escalation of radiation dose in radioresistant subvolumes, with a consequent decrease in relapses and an increased likelihood of disease-free survival.
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Affiliation(s)
- Susana Lopes
- Nottingham University Hospitals, Nottingham, United Kingdom
| | - Sara Ferreira
- Dr. Lopes Dias School of Health-Polytechnic Institute of Castelo Branco, Castelo Branco, Portugal; and
| | - Marco Caetano
- Lisbon School of Health Technology-Polytechnic Institute of Lisbon, Lisbon, Portugal
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20
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Sanduleanu S, Jochems A, Upadhaya T, Even AJG, Leijenaar RTH, Dankers FJWM, Klaassen R, Woodruff HC, Hatt M, Kaanders HJAM, Hamming-Vrieze O, van Laarhoven HWM, Subramiam RM, Huang SH, O'Sullivan B, Bratman SV, Dubois LJ, Miclea RL, Di Perri D, Geets X, Crispin-Ortuzar M, Apte A, Deasy JO, Oh JH, Lee NY, Humm JL, Schöder H, De Ruysscher D, Hoebers F, Lambin P. Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures. Radiother Oncol 2020; 153:97-105. [PMID: 33137396 DOI: 10.1016/j.radonc.2020.10.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 10/09/2020] [Accepted: 10/12/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Tumor hypoxia increases resistance to radiotherapy and systemic therapy. Our aim was to develop and validate a disease-agnostic and disease-specific CT (+FDG-PET) based radiomics hypoxia classification signature. MATERIAL AND METHODS A total of 808 patients with imaging data were included: N = 100 training/N = 183 external validation cases for a disease-agnostic CT hypoxia classification signature, N = 76 training/N = 39 validation cases for the H&N CT signature and N = 62 training/N = 36 validation cases for the Lung CT signature. The primary gross tumor volumes (GTV) were manually defined by experts on CT. In order to dichotomize between hypoxic/well-oxygenated tumors a threshold of 20% was used for the [18F]-HX4-derived hypoxic fractions (HF). A random forest (RF)-based machine-learning classifier/regressor was trained to classify patients as hypoxia-positive/ negative based on radiomic features. RESULTS A 11 feature "disease-agnostic CT model" reached AUC's of respectively 0.78 (95% confidence interval [CI], 0.62-0.94), 0.82 (95% CI, 0.67-0.96) and 0.78 (95% CI, 0.67-0.89) in three external validation datasets. A "disease-agnostic FDG-PET model" reached an AUC of 0.73 (0.95% CI, 0.49-0.97) in validation by combining 5 features. The highest "lung-specific CT model" reached an AUC of 0.80 (0.95% CI, 0.65-0.95) in validation with 4 CT features, while the "H&N-specific CT model" reached an AUC of 0.84 (0.95% CI, 0.64-1.00) in validation with 15 CT features. A tumor volume-alone model was unable to significantly classify patients as hypoxia-positive/ negative. A significant survival split (P = 0.037) was found between CT-classified hypoxia strata in an external H&N cohort (n = 517), while 117 significant hypoxia gene-CT signature feature associations were found in an external lung cohort (n = 80). CONCLUSION The disease-specific radiomics signatures perform better than the disease agnostic ones. By identifying hypoxic patients our signatures have the potential to enrich interventional hypoxia-targeting trials.
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Affiliation(s)
- Sebastian Sanduleanu
- The-D-Lab, Dpt of Precision Medicine, GROW - School for Oncology, Maastricht University Medical Centre+, The Netherlands.
| | - Arthur Jochems
- The-D-Lab, Dpt of Precision Medicine, GROW - School for Oncology, Maastricht University Medical Centre+, The Netherlands
| | - Taman Upadhaya
- Laboratory of Medical Information Processing (LaTIM), INSERM, UMR 1101, Univ Brest, France; Department of Radiation Oncology, University of California, 1600 Divisadero Street, CA 94115, San Francisco, United States
| | - Aniek J G Even
- The-D-Lab, Dpt of Precision Medicine, GROW - School for Oncology, Maastricht University Medical Centre+, The Netherlands
| | - Ralph T H Leijenaar
- The-D-Lab, Dpt of Precision Medicine, GROW - School for Oncology, Maastricht University Medical Centre+, The Netherlands
| | - Frank J W M Dankers
- Department of Radiation Oncology, Radboud University Nijmegen Medical Centre, The Netherlands
| | - Remy Klaassen
- Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Henry C Woodruff
- The-D-Lab, Dpt of Precision Medicine, GROW - School for Oncology, Maastricht University Medical Centre+, The Netherlands; Department of Radiology and Nuclear Imaging, GROW - school for Oncology, Maastricht University Medical Centre+, The Netherlands
| | - Mathieu Hatt
- Laboratory of Medical Information Processing (LaTIM), INSERM, UMR 1101, Univ Brest, France
| | - Hans J A M Kaanders
- Department of Radiation Oncology, Radboud University Nijmegen Medical Centre, The Netherlands
| | - Olga Hamming-Vrieze
- Department of Radiation Oncology, Antoni van Leeuwenhoek - Netherlands Cancer institute, Amsterdam, The Netherlands
| | - Hanneke W M van Laarhoven
- Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Rathan M Subramiam
- Boston University School of Medicine, United States; Division of Nuclear Medicine, Russell H Morgan Department of Radiology and Radiologic Sciences, Johns Hopkins Medical Institutions, Baltimore, United States
| | - Shao Hui Huang
- Department of Radiation Oncology, Princess Margaret Cancer Center, University of Toronto, Canada
| | - Brian O'Sullivan
- Department of Radiation Oncology, Princess Margaret Cancer Center, University of Toronto, Canada
| | - Scott V Bratman
- Department of Radiation Oncology, Princess Margaret Cancer Center, University of Toronto, Canada
| | - Ludwig J Dubois
- Department of Precision Medicine, The M-LAB, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, The Netherlands
| | - Razvan L Miclea
- Department of Radiology and Nuclear Imaging, GROW - school for Oncology, Maastricht University Medical Centre+, The Netherlands
| | - Dario Di Perri
- Center of Molecular Imaging, Radiotherapy and Oncology (MIRO), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Belgium; Department of Radiation Oncology, Cliniques universitaires Saint-Luc, Brussels, Belgium
| | - Xavier Geets
- Center of Molecular Imaging, Radiotherapy and Oncology (MIRO), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Belgium; Department of Radiation Oncology, Cliniques universitaires Saint-Luc, Brussels, Belgium
| | - Mireia Crispin-Ortuzar
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States; Cancer Research UK Cambridge Institute, University of Cambridge, UK
| | - Aditya Apte
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States
| | - Joseph O Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States
| | - Nancy Y Lee
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, United States
| | - John L Humm
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States
| | - Heiko Schöder
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, United States
| | - Dirk De Ruysscher
- Department of Radiation Oncology (Maastro), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, The Netherlands
| | - Frank Hoebers
- Department of Radiation Oncology (Maastro), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, The Netherlands
| | - Philippe Lambin
- The-D-Lab, Dpt of Precision Medicine, GROW - School for Oncology, Maastricht University Medical Centre+, The Netherlands; Department of Radiology and Nuclear Imaging, GROW - school for Oncology, Maastricht University Medical Centre+, The Netherlands
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21
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Liu D, Steins A, Klaassen R, van der Zalm AP, Bennink RJ, van Tienhoven G, Besselink MG, Bijlsma MF, van Laarhoven HWM. Soluble Compounds Released by Hypoxic Stroma Confer Invasive Properties to Pancreatic Ductal Adenocarcinoma. Biomedicines 2020; 8:biomedicines8110444. [PMID: 33105540 PMCID: PMC7690284 DOI: 10.3390/biomedicines8110444] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 10/17/2020] [Accepted: 10/20/2020] [Indexed: 02/07/2023] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is characterized by abundant stroma and a hypoxic microenvironment. Pancreatic stellate cells (PSC) are activated by hypoxia and promote excessive desmoplasia, further contributing to the development of hypoxia. We aimed to explore how hypoxia and stroma interact to contribute to invasive growth in PDAC. [18F]HX4 PET/CT was found to be a feasible non-invasive method to assess tumor hypoxia in 42 patients and correlated with HIF1α immunohistochemistry in matched surgical specimens. [18F]HX4 uptake and HIF1α were strong prognostic markers for overall survival. Co-culture and medium transfer experiments demonstrated that hypoxic PSCs and their supernatant induce upregulation of mesenchymal markers in tumor cells, and that hypoxia-induced stromal factors drive invasive growth in hypoxic PDACs. Through stepwise selection, stromal MMP10 was identified as the most likely candidate responsible for this. In conclusion, hypoxia-activated PSCs promote the invasiveness of PDAC through paracrine signaling. The identification of PSC-derived MMP10 may provide a lead to develop novel stroma-targeting therapies.
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Affiliation(s)
- Dajia Liu
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, UMC, University of Amsterdam, Cancer Center Amsterdam, 1105 AZ Amsterdam, The Netherlands; (D.L.); (A.S.); (R.K.); (A.P.v.d.Z.)
- Department of Medical Oncology, Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam, 1105 AZ Amsterdam, The Netherlands;
| | - Anne Steins
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, UMC, University of Amsterdam, Cancer Center Amsterdam, 1105 AZ Amsterdam, The Netherlands; (D.L.); (A.S.); (R.K.); (A.P.v.d.Z.)
- Department of Medical Oncology, Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam, 1105 AZ Amsterdam, The Netherlands;
| | - Remy Klaassen
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, UMC, University of Amsterdam, Cancer Center Amsterdam, 1105 AZ Amsterdam, The Netherlands; (D.L.); (A.S.); (R.K.); (A.P.v.d.Z.)
- Department of Medical Oncology, Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam, 1105 AZ Amsterdam, The Netherlands;
| | - Amber P. van der Zalm
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, UMC, University of Amsterdam, Cancer Center Amsterdam, 1105 AZ Amsterdam, The Netherlands; (D.L.); (A.S.); (R.K.); (A.P.v.d.Z.)
- Department of Medical Oncology, Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam, 1105 AZ Amsterdam, The Netherlands;
- Oncode Institute, 1105 AZ Amsterdam, The Netherlands
| | - Roel J. Bennink
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam, 1105 AZ Amsterdam, The Netherlands;
| | - Geertjan van Tienhoven
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands;
| | - Marc G. Besselink
- Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands;
| | - Maarten F. Bijlsma
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, UMC, University of Amsterdam, Cancer Center Amsterdam, 1105 AZ Amsterdam, The Netherlands; (D.L.); (A.S.); (R.K.); (A.P.v.d.Z.)
- Oncode Institute, 1105 AZ Amsterdam, The Netherlands
- Correspondence: ; Tel.: +31-(0)20-5664824
| | - Hanneke W. M. van Laarhoven
- Department of Medical Oncology, Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam, 1105 AZ Amsterdam, The Netherlands;
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22
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Carbon Ion Radiobiology. Cancers (Basel) 2020; 12:cancers12103022. [PMID: 33080914 PMCID: PMC7603235 DOI: 10.3390/cancers12103022] [Citation(s) in RCA: 92] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 10/12/2020] [Accepted: 10/14/2020] [Indexed: 12/15/2022] Open
Abstract
Simple Summary Radiotherapy with carbon ions has been used for over 20 years in Asia and Europe and is now planned in the USA. The physics advantages of carbon ions compared to X-rays are similar to those of protons, but their radiobiological features are quite distinct and may lead to a breakthrough in the treatment of some cancers characterized by high mortality. Abstract Radiotherapy using accelerated charged particles is rapidly growing worldwide. About 85% of the cancer patients receiving particle therapy are irradiated with protons, which have physical advantages compared to X-rays but a similar biological response. In addition to the ballistic advantages, heavy ions present specific radiobiological features that can make them attractive for treating radioresistant, hypoxic tumors. An ideal heavy ion should have lower toxicity in the entrance channel (normal tissue) and be exquisitely effective in the target region (tumor). Carbon ions have been chosen because they represent the best combination in this direction. Normal tissue toxicities and second cancer risk are similar to those observed in conventional radiotherapy. In the target region, they have increased relative biological effectiveness and a reduced oxygen enhancement ratio compared to X-rays. Some radiobiological properties of densely ionizing carbon ions are so distinct from X-rays and protons that they can be considered as a different “drug” in oncology, and may elicit favorable responses such as an increased immune response and reduced angiogenesis and metastatic potential. The radiobiological properties of carbon ions should guide patient selection and treatment protocols to achieve optimal clinical results.
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Mowday AM, Copp JN, Syddall SP, Dubois LJ, Wang J, Lieuwes NG, Biemans R, Ashoorzadeh A, Abbattista MR, Williams EM, Guise CP, Lambin P, Ackerley DF, Smaill JB, Theys J, Patterson AV. E. coli nitroreductase NfsA is a reporter gene for non-invasive PET imaging in cancer gene therapy applications. Theranostics 2020; 10:10548-10562. [PMID: 32929365 PMCID: PMC7482819 DOI: 10.7150/thno.46826] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 07/30/2020] [Indexed: 12/13/2022] Open
Abstract
The use of reporter genes to non-invasively image molecular processes inside cells has significant translational potential, particularly in the context of systemically administered gene therapy vectors and adoptively administered cells such as immune or stem cell based therapies. Bacterial nitroreductase enzymes possess ideal properties for reporter gene imaging applications, being of non-human origin and possessing the ability to metabolize a range of clinically relevant nitro(hetero)cyclic substrates. Methods: A library of eleven Escherichia coli nitroreductase candidates were screened for the ability to efficiently metabolize 2-nitroimidazole based positron emission tomography (PET) probes originally developed as radiotracers for hypoxic cell imaging. Several complementary methods were utilized to detect formation of cell-entrapped metabolites, including various in vitro and in vivo models to establish the capacity of the 2-nitroimidazole PET agent EF5 to quantify expression of a nitroreductase candidate. Proof-of-principle PET imaging studies were successfully conducted using 18F-HX4. Results: Recombinant enzyme kinetics, bacterial SOS reporter assays, anti-proliferative assays and flow cytometry approaches collectively identified the major oxygen-insensitive nitroreductase NfsA from E. coli (NfsA_Ec) as the most promising nitroreductase reporter gene. Cells expressing NfsA_Ec were demonstrably labelled with the imaging agent EF5 in a manner that was quantitatively superior to hypoxia, in monolayers (2D), multicellular layers (3D), and in human tumor xenograft models. EF5 retention correlated with NfsA_Ec positive cell density over a range of EF5 concentrations in 3D in vitro models and in xenografts in vivo and was predictive of in vivo anti-tumor activity of the cytotoxic prodrug PR-104. Following PET imaging with 18F-HX4, a significantly higher tumor-to-blood ratio was observed in two xenograft models for NfsA_Ec expressing tumors compared to the parental tumors thereof, providing verification of this reporter gene imaging approach. Conclusion: This study establishes that the bacterial nitroreductase NfsA_Ec can be utilized as an imaging capable reporter gene, with the ability to metabolize and trap 2-nitroimidazole PET imaging agents for non-invasive imaging of gene expression.
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24
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Vermeer JAF, Ient J, Markelc B, Kaeppler J, Barbeau LMO, Groot AJ, Muschel RJ, Vooijs MA. A lineage-tracing tool to map the fate of hypoxic tumour cells. Dis Model Mech 2020; 13:dmm044768. [PMID: 32571767 PMCID: PMC7406318 DOI: 10.1242/dmm.044768] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 06/08/2020] [Indexed: 12/12/2022] Open
Abstract
Intratumoural hypoxia is a common characteristic of malignant treatment-resistant cancers. However, hypoxia-modification strategies for the clinic remain elusive. To date, little is known on the behaviour of individual hypoxic tumour cells in their microenvironment. To explore this issue in a spatial and temporally controlled manner, we developed a genetically encoded sensor by fusing the O2-labile hypoxia-inducible factor 1α (HIF-1α) protein to eGFP and a tamoxifen-regulated Cre recombinase. Under normoxic conditions, HIF-1α is degraded but, under hypoxia, the HIF-1α-GFP-Cre-ERT2 fusion protein is stabilised and in the presence of tamoxifen activates a tdTomato reporter gene that is constitutively expressed in hypoxic progeny. We visualise the random distribution of hypoxic tumour cells from hypoxic or necrotic regions and vascularised areas using immunofluorescence and intravital microscopy. Once tdTomato expression is induced, it is stable for at least 4 weeks. Using this system, we could show in vivo that the post-hypoxic cells were more proliferative than non-labelled cells. Our results demonstrate that single-cell lineage tracing of hypoxic tumour cells can allow visualisation of their behaviour in living tumours using intravital microscopy. This tool should prove valuable for the study of dissemination and treatment response of post-hypoxic tumour cells in vivo at single-cell resolution.This article has an associated First Person interview with the joint first authors of the paper.
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MESH Headings
- Animals
- Biosensing Techniques
- Carcinoma, Non-Small-Cell Lung/genetics
- Carcinoma, Non-Small-Cell Lung/metabolism
- Carcinoma, Non-Small-Cell Lung/pathology
- Cell Line, Tumor
- Cell Lineage
- Cell Proliferation
- Cell Tracking
- Female
- Gene Expression Regulation, Neoplastic
- Genes, Reporter
- Green Fluorescent Proteins/genetics
- Green Fluorescent Proteins/metabolism
- Heterografts
- Humans
- Hypoxia-Inducible Factor 1, alpha Subunit/genetics
- Hypoxia-Inducible Factor 1, alpha Subunit/metabolism
- Intravital Microscopy
- Luminescent Proteins/genetics
- Luminescent Proteins/metabolism
- Lung Neoplasms/genetics
- Lung Neoplasms/metabolism
- Lung Neoplasms/pathology
- Mice, Inbred BALB C
- Mice, Nude
- Microscopy, Fluorescence
- Necrosis
- Oxygen/metabolism
- Recombinant Proteins/metabolism
- Single-Cell Analysis
- Time Factors
- Tumor Hypoxia
- Tumor Microenvironment
- Red Fluorescent Protein
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Affiliation(s)
- Jenny A F Vermeer
- Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford OX3 7DQ, UK
| | - Jonathan Ient
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, 6202 AZ Maastricht, The Netherlands
| | - Bostjan Markelc
- Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford OX3 7DQ, UK
- Department of Experimental Oncology, Institute of Oncology Ljubljana, Zaloška cesta 2, 1000 Ljubljana, Slovenia
| | - Jakob Kaeppler
- Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford OX3 7DQ, UK
| | - Lydie M O Barbeau
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, 6202 AZ Maastricht, The Netherlands
| | - Arjan J Groot
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, 6202 AZ Maastricht, The Netherlands
| | - Ruth J Muschel
- Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford OX3 7DQ, UK
| | - Marc A Vooijs
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, 6202 AZ Maastricht, The Netherlands
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25
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MacAskill MG, Newby DE, Tavares AAS. Frontiers in positron emission tomography imaging of the vulnerable atherosclerotic plaque. Cardiovasc Res 2020; 115:1952-1962. [PMID: 31233100 DOI: 10.1093/cvr/cvz162] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 04/16/2019] [Accepted: 06/19/2019] [Indexed: 02/07/2023] Open
Abstract
Rupture of vulnerable atherosclerotic plaques leading to an atherothrombotic event is the primary driver of myocardial infarction and stroke. The ability to detect non-invasively the presence and evolution of vulnerable plaques could have a huge impact on the future identification and management of atherosclerotic cardiovascular disease. Positron emission tomography (PET) imaging with an appropriate radiotracer has the potential to achieve this goal. This review will discuss the biological hallmarks of plaque vulnerability before going on to evaluate and to present PET imaging approaches which target these processes. The focus of this review will be on techniques beyond [18F]FDG imaging, some of which are clinically advanced, and others which are on the horizon. As inflammation is the primary driving force behind atherosclerotic plaque development, we will predominantly focus on approaches which either directly, or indirectly, target this process.
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Affiliation(s)
- Mark G MacAskill
- University/BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.,Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
| | - David E Newby
- University/BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Adriana A S Tavares
- University/BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.,Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
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26
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Sanduleanu S, van der Wiel AM, Lieverse RI, Marcus D, Ibrahim A, Primakov S, Wu G, Theys J, Yaromina A, Dubois LJ, Lambin P. Hypoxia PET Imaging with [18F]-HX4-A Promising Next-Generation Tracer. Cancers (Basel) 2020; 12:cancers12051322. [PMID: 32455922 PMCID: PMC7280995 DOI: 10.3390/cancers12051322] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 05/18/2020] [Accepted: 05/19/2020] [Indexed: 02/04/2023] Open
Abstract
Hypoxia—a common feature of the majority of solid tumors—is a negative prognostic factor, as it is associated with invasion, metastasis and therapy resistance. To date, a variety of methods are available for the assessment of tumor hypoxia, including the use of positron emission tomography (PET). A plethora of hypoxia PET tracers, each with its own strengths and limitations, has been developed and successfully validated, thereby providing useful prognostic or predictive information. The current review focusses on [18F]-HX4, a promising next-generation hypoxia PET tracer. After a brief history of its development, we discuss and compare its characteristics with other hypoxia PET tracers and provide an update on its progression into the clinic. Lastly, we address the potential applications of assessing tumor hypoxia using [18F]-HX4, with a focus on improving patient-tailored therapies.
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Affiliation(s)
- Sebastian Sanduleanu
- The D-Lab and The M-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6211 Maastricht, The Netherlands; (A.M.A.v.d.W.); (R.I.Y.L.); (D.M.); (A.I.); (S.P.); (G.W.); (J.T.); (A.Y.); (L.J.D.); (P.L.)
- Correspondence:
| | - Alexander M.A. van der Wiel
- The D-Lab and The M-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6211 Maastricht, The Netherlands; (A.M.A.v.d.W.); (R.I.Y.L.); (D.M.); (A.I.); (S.P.); (G.W.); (J.T.); (A.Y.); (L.J.D.); (P.L.)
| | - Relinde I.Y. Lieverse
- The D-Lab and The M-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6211 Maastricht, The Netherlands; (A.M.A.v.d.W.); (R.I.Y.L.); (D.M.); (A.I.); (S.P.); (G.W.); (J.T.); (A.Y.); (L.J.D.); (P.L.)
| | - Damiënne Marcus
- The D-Lab and The M-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6211 Maastricht, The Netherlands; (A.M.A.v.d.W.); (R.I.Y.L.); (D.M.); (A.I.); (S.P.); (G.W.); (J.T.); (A.Y.); (L.J.D.); (P.L.)
| | - Abdalla Ibrahim
- The D-Lab and The M-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6211 Maastricht, The Netherlands; (A.M.A.v.d.W.); (R.I.Y.L.); (D.M.); (A.I.); (S.P.); (G.W.); (J.T.); (A.Y.); (L.J.D.); (P.L.)
- Department of Radiology and Nuclear Medicine, GROW—School for Oncology and Developmental Biology, Maastricht University Medical Centre+, 6229 Maastricht, The Netherlands
- Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, Hospital Center Universitaire De Liege, 4030 Liege, Belgium
- Department of Nuclear Medicine and Comprehensive Diagnostic Center Aachen (CDCA), University Hospital RWTH Aachen University, 52074 Aachen, Germany
| | - Sergey Primakov
- The D-Lab and The M-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6211 Maastricht, The Netherlands; (A.M.A.v.d.W.); (R.I.Y.L.); (D.M.); (A.I.); (S.P.); (G.W.); (J.T.); (A.Y.); (L.J.D.); (P.L.)
| | - Guangyao Wu
- The D-Lab and The M-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6211 Maastricht, The Netherlands; (A.M.A.v.d.W.); (R.I.Y.L.); (D.M.); (A.I.); (S.P.); (G.W.); (J.T.); (A.Y.); (L.J.D.); (P.L.)
| | - Jan Theys
- The D-Lab and The M-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6211 Maastricht, The Netherlands; (A.M.A.v.d.W.); (R.I.Y.L.); (D.M.); (A.I.); (S.P.); (G.W.); (J.T.); (A.Y.); (L.J.D.); (P.L.)
| | - Ala Yaromina
- The D-Lab and The M-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6211 Maastricht, The Netherlands; (A.M.A.v.d.W.); (R.I.Y.L.); (D.M.); (A.I.); (S.P.); (G.W.); (J.T.); (A.Y.); (L.J.D.); (P.L.)
| | - Ludwig J. Dubois
- The D-Lab and The M-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6211 Maastricht, The Netherlands; (A.M.A.v.d.W.); (R.I.Y.L.); (D.M.); (A.I.); (S.P.); (G.W.); (J.T.); (A.Y.); (L.J.D.); (P.L.)
| | - Philippe Lambin
- The D-Lab and The M-Lab, Department of Precision Medicine, GROW—School for Oncology, Maastricht University, 6211 Maastricht, The Netherlands; (A.M.A.v.d.W.); (R.I.Y.L.); (D.M.); (A.I.); (S.P.); (G.W.); (J.T.); (A.Y.); (L.J.D.); (P.L.)
- Department of Radiology and Nuclear Medicine, GROW—School for Oncology and Developmental Biology, Maastricht University Medical Centre+, 6229 Maastricht, The Netherlands
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27
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Drake LR, Hillmer AT, Cai Z. Approaches to PET Imaging of Glioblastoma. Molecules 2020; 25:E568. [PMID: 32012954 PMCID: PMC7037643 DOI: 10.3390/molecules25030568] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 01/22/2020] [Accepted: 01/23/2020] [Indexed: 12/15/2022] Open
Abstract
Glioblastoma multiforme (GBM) is the deadliest type of brain tumor, affecting approximately three in 100,000 adults annually. Positron emission tomography (PET) imaging provides an important non-invasive method of measuring biochemically specific targets at GBM lesions. These powerful data can characterize tumors, predict treatment effectiveness, and monitor treatment. This review will discuss the PET imaging agents that have already been evaluated in GBM patients so far, and new imaging targets with promise for future use. Previously used PET imaging agents include the tracers for markers of proliferation ([11C]methionine; [18F]fluoro-ethyl-L-tyrosine, [18F]Fluorodopa,[18F]fluoro-thymidine, and [18F]clofarabine), hypoxia sensing ([18F]FMISO, [18F]FET-NIM, [18F]EF5, [18F]HX4, and [64Cu]ATSM), and ligands for inflammation. As cancer therapeutics evolve toward personalized medicine and therapies centered on tumor biomarkers, the development of complimentary selective PET agents can dramatically enhance these efforts. Newer biomarkers for GBM PET imaging are discussed, with some already in use for PET imaging other cancers and neurological disorders. These targets include Sigma 1, Sigma 2, programmed death ligand 1, poly-ADP-ribose polymerase, and isocitrate dehydrogenase. For GBM, these imaging agents come with additional considerations such as blood-brain barrier penetration, quantitative modeling approaches, and nonspecific binding.
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Affiliation(s)
- Lindsey R. Drake
- Yale PET Center, Yale University School of Medicine, New Haven, CT 06511, USA; (A.T.H.); (Z.C.)
- Department of Radiology and Bioimaging Sciences, Yale University School of Medicine, New Haven, CT 06511, USA
| | - Ansel T. Hillmer
- Yale PET Center, Yale University School of Medicine, New Haven, CT 06511, USA; (A.T.H.); (Z.C.)
- Department of Radiology and Bioimaging Sciences, Yale University School of Medicine, New Haven, CT 06511, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, USA
- Department of Biomedical Engineering, Yale School of Engineering and Applied Science, New Haven, CT 06511, USA
| | - Zhengxin Cai
- Yale PET Center, Yale University School of Medicine, New Haven, CT 06511, USA; (A.T.H.); (Z.C.)
- Department of Radiology and Bioimaging Sciences, Yale University School of Medicine, New Haven, CT 06511, USA
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28
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Huang W, Wang K, An Y, Meng H, Gao Y, Xiong Z, Yan H, Wang Q, Cai X, Yang X, Zhang B, Chen Q, Yang X, Tian J, Zhang S. In vivo three-dimensional evaluation of tumour hypoxia in nasopharyngeal carcinomas using FMT-CT and MSOT. Eur J Nucl Med Mol Imaging 2019; 47:1027-1038. [PMID: 31705175 PMCID: PMC7101302 DOI: 10.1007/s00259-019-04526-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 09/05/2019] [Indexed: 11/26/2022]
Abstract
Purpose Accurate evaluation of hypoxia is particularly important in patients with nasopharyngeal carcinoma (NPC) undergoing radiotherapy. The aim of this study was to propose a novel imaging strategy for quantitative three-dimensional (3D) evaluation of hypoxia in a small animal model of NPC. Methods A carbonic anhydrase IX (CAIX)-specific molecular probe (CAIX-800) was developed for imaging of hypoxia. Mouse models of subcutaneous, orthotopic, and spontaneous lymph node metastasis from NPC (5 mice per group) were established to assess the imaging strategy. A multi-modality imaging method that consisted of a hybrid combination of fluorescence molecular tomography-computed tomography (FMT-CT) and multispectral optoacoustic tomography (MSOT) was used for 3D quantitative evaluation of tumour hypoxia. Magnetic resonance imaging, histological examination, and immunohistochemical analysis were used as references for comparison and validation. Results In the early stage of NPC (2 weeks after implantation), FMT-CT enabled precise 3D localisation of the hypoxia biomarker with high sensitivity. At the advanced stage (6 weeks after implantation), MSOT allowed multispectral analysis of the biomarker and haemoglobin molecules with high resolution. The combination of high sensitivity and high resolution from FMT-CT and MSOT could not only detect hypoxia in small-sized NPCs but also visualise the heterogeneity of hypoxia in 3D. Conclusions Integration of FMT-CT and MSOT could allow comprehensive and quantifiable evaluation of hypoxia in NPC. These findings may potentially benefit patients with NPC undergoing radiotherapy in the future. A novel multimodality imaging strategy for three-dimensional evaluation of tumour hypoxia in an orthotopic model of nasopharyngeal carcinoma. ![]()
Electronic supplementary material The online version of this article (10.1007/s00259-019-04526-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Wenhui Huang
- Medical Imaging Center, the First Affiliated Hospital, Jinan University, No. 163, Huangpu West Road, Tianhe District, Guangzhou, Guangdong, 510632, China.,CAS Key Laboratory of Molecular Imaging, Institute of Automation Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian District, Beijing, 100190, China
| | - Kun Wang
- CAS Key Laboratory of Molecular Imaging, Institute of Automation Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian District, Beijing, 100190, China
| | - Yu An
- CAS Key Laboratory of Molecular Imaging, Institute of Automation Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian District, Beijing, 100190, China
| | - Hui Meng
- CAS Key Laboratory of Molecular Imaging, Institute of Automation Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian District, Beijing, 100190, China
| | - Yuan Gao
- CAS Key Laboratory of Molecular Imaging, Institute of Automation Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian District, Beijing, 100190, China
| | - Zhiyuan Xiong
- Medical Imaging Center, the First Affiliated Hospital, Jinan University, No. 163, Huangpu West Road, Tianhe District, Guangzhou, Guangdong, 510632, China.,Department of Chemical and Bio-molecular Engineering, The university of Melbourne, Melbourne, Victoria, 3010, Australia
| | - Hao Yan
- Engineering Laboratory for Functionalized Carbon Materials, Graduate School at Shenzhen, Tsinghua University, Shenzhen, 518055, China
| | - Qian Wang
- Department of Diagnostic Imaging, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xuekang Cai
- Department of Nuclear Medicine, Peking University First Hospital, No. 8 Xishiku Road, Xicheng District, Beijing, 100034, China
| | - Xin Yang
- CAS Key Laboratory of Molecular Imaging, Institute of Automation Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian District, Beijing, 100190, China
| | - Bin Zhang
- Medical Imaging Center, the First Affiliated Hospital, Jinan University, No. 163, Huangpu West Road, Tianhe District, Guangzhou, Guangdong, 510632, China
| | - Qiuying Chen
- Medical Imaging Center, the First Affiliated Hospital, Jinan University, No. 163, Huangpu West Road, Tianhe District, Guangzhou, Guangdong, 510632, China
| | - Xing Yang
- Department of Nuclear Medicine, Peking University First Hospital, No. 8 Xishiku Road, Xicheng District, Beijing, 100034, China.
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, Institute of Automation Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian District, Beijing, 100190, China. .,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100191, China.
| | - Shuixing Zhang
- Medical Imaging Center, the First Affiliated Hospital, Jinan University, No. 163, Huangpu West Road, Tianhe District, Guangzhou, Guangdong, 510632, China.
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Jackson RK, Liew LP, Hay MP. Overcoming Radioresistance: Small Molecule Radiosensitisers and Hypoxia-activated Prodrugs. Clin Oncol (R Coll Radiol) 2019; 31:290-302. [PMID: 30853148 DOI: 10.1016/j.clon.2019.02.004] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 02/12/2019] [Indexed: 12/25/2022]
Abstract
The role of hypoxia in radiation resistance is well established and many approaches to overcome hypoxia in tumours have been explored, with variable success. Two small molecule strategies for targeting hypoxia have dominated preclinical and clinical efforts. One approach has been the use of electron-affinic nitroheterocycles as oxygen-mimetic sensitisers. These agents are best exemplified by the 5-nitroimidazole nimorazole, which has limited use in conjunction with radiotherapy in head and neck squamous cell carcinoma. The second approach seeks to leverage tumour hypoxia as a tumour-specific address for hypoxia-activated prodrugs. These prodrugs are selectively activated by reductases under hypoxia to release cytotoxins, which in some instances may diffuse to kill surrounding oxic tumour tissue. A number of these hypoxia-activated prodrugs have been examined in clinical trial and the merits and shortcomings of recent examples are discussed. There has been an evolution from delivering DNA-interactive cytotoxins to molecularly targeted agents. Efforts to implement these strategies clinically continue today, but success has been elusive. Several issues have been identified that compromised these clinical campaigns. A failure to consider the extravascular transport and the micropharmacokinetic properties of the prodrugs has reduced efficacy. One key element for these 'targeted' approaches is the need to co-develop biomarkers to identify appropriate patients. Hypoxia-activated prodrugs require biomarkers for hypoxia, but also for appropriate activating reductases in tumours, as well as markers of intrinsic sensitivity to the released drug. The field is still evolving and changes in radiation delivery and the impact of immune-oncology will provide fertile ground for future innovation.
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Affiliation(s)
- R K Jackson
- Auckland Cancer Society Research Centre, School of Medical Sciences, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - L P Liew
- Auckland Cancer Society Research Centre, School of Medical Sciences, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; Maurice Wilkins Centre for Molecular Biodiscovery, University of Auckland, Auckland, New Zealand
| | - M P Hay
- Auckland Cancer Society Research Centre, School of Medical Sciences, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; Maurice Wilkins Centre for Molecular Biodiscovery, University of Auckland, Auckland, New Zealand.
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Nakata N, Kiriu M, Okumura Y, Zhao S, Nishijima KI, Shiga T, Tamaki N, Kuge Y, Matsumoto H. Comparative evaluation of [ 18F]DiFA and its analogs as novel hypoxia positron emission tomography and [ 18F]FMISO as the standard. Nucl Med Biol 2019; 70:39-45. [PMID: 30836255 DOI: 10.1016/j.nucmedbio.2019.01.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 01/08/2019] [Accepted: 01/20/2019] [Indexed: 01/23/2023]
Abstract
INTRODUCTION Hypoxia, a common feature of most solid tumors, is an important predictor of tumor progression and resistance to radiotherapy. We developed a novel hypoxia imaging probe with optimal biological characteristics for use in clinical settings. METHODS We designed and synthesized several new hypoxia probes with additional hydrophilic characteristics compared to [18F]fluoromisonidazole ([18F]FMISO). These were 1-(2,2-Dihydroxy-methyl-3-[18F]-Fluoropropyl) azomycin ([18F]DiFA, formerly [18F]HIC101) and its analogs ([18F]F1 and [18F]F2). Biodistribution studies with EMT6 mammary carcinoma cell-bearing mice were performed 1 and 2 h after injection of each probe. Small-animal positron emission tomography (PET) imaging studies were conducted using [18F]DiFA and [18F]FMISO in the same mice. Tumoral hypoxia was confirmed via pimonidazole staining. Ex vivo digital autoradiographs were obtained for confirming the co-localization of [18F]DiFA and pimonidazole in the tumor tissues. RESULTS The EMT6 tumors used had pimonidazole-positive regions. In biodistribution studies, the tumor-to-blood ratio and tumor-to-muscle ratio of [18F]DiFA was significantly higher than the respective [18F]FMISO ratios 1 h after injection. Hence, we selected [18F]DiFA as the best hypoxia probe among those tested. Small-animal PET imaging studies showed time-dependent increases in the tumor-to-normal tissue ratio of [18F]DiFA uptake. Rapid clearance from the rest of the body was observed primarily via the renal system. Ex vivo autoradiography showed a positive correlation between [18F]DiFA uptake and the regions of pimonidazole distribution, indicating that [18F]DiFA selectively accumulated in the tumor tissue's hypoxic region. CONCLUSIONS A better contrast image and a shorter waiting time may be obtained with [18F]DiFA than with [18F]FMISO. ADVANCES IN KNOWLEDGE By optimizing LogP based on the [18F]FMISO structure, we demonstrated that [18F]DiFA could detect tumor hypoxia regions at an early time point. IMPLICATIONS FOR PATIENT CARE: [18F]DiFA imaging facilitates the evaluation of various cancer hypoxic states due to the lower uptake of normal tissues and could contribute to novel treatment development.
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Affiliation(s)
- Norihito Nakata
- Research Center, Nihon Medi-Physics Co., Ltd., 299-0266 Sodegaura, Japan
| | - Masato Kiriu
- Research Center, Nihon Medi-Physics Co., Ltd., 299-0266 Sodegaura, Japan
| | - Yuki Okumura
- Research Center, Nihon Medi-Physics Co., Ltd., 299-0266 Sodegaura, Japan
| | - Songji Zhao
- Graduate School of Medicine, Hokkaido University, 060-8638 Sapporo, Japan
| | - Ken-Ichi Nishijima
- Graduate School of Medicine, Hokkaido University, 060-8638 Sapporo, Japan; Central Institute of Isotope Science, Hokkaido University, 060-0815 Sapporo, Japan
| | - Tohru Shiga
- Graduate School of Medicine, Hokkaido University, 060-8638 Sapporo, Japan
| | - Nagara Tamaki
- Graduate School of Medicine, Hokkaido University, 060-8638 Sapporo, Japan
| | - Yuji Kuge
- Graduate School of Medicine, Hokkaido University, 060-8638 Sapporo, Japan; Central Institute of Isotope Science, Hokkaido University, 060-0815 Sapporo, Japan
| | - Hiroki Matsumoto
- Research Center, Nihon Medi-Physics Co., Ltd., 299-0266 Sodegaura, Japan.
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Integrating Small Animal Irradiators withFunctional Imaging for Advanced Preclinical Radiotherapy Research. Cancers (Basel) 2019; 11:cancers11020170. [PMID: 30717307 PMCID: PMC6406472 DOI: 10.3390/cancers11020170] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 01/23/2019] [Accepted: 01/29/2019] [Indexed: 12/16/2022] Open
Abstract
Translational research aims to provide direct support for advancing novel treatment approaches in oncology towards improving patient outcomes. Preclinical studies have a central role in this process and the ability to accurately model biological and physical aspects of the clinical scenario in radiation oncology is critical to translational success. The use of small animal irradiators with disease relevant mouse models and advanced in vivo imaging approaches offers unique possibilities to interrogate the radiotherapy response of tumors and normal tissues with high potential to translate to improvements in clinical outcomes. The present review highlights the current technology and applications of small animal irradiators, and explores how these can be combined with molecular and functional imaging in advanced preclinical radiotherapy research.
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Hypoxia imaging with [18F]HX4 PET in squamous cell head and neck cancers: a pilot study for integration into treatment planning. Nucl Med Commun 2018; 40:73-78. [PMID: 30371605 PMCID: PMC6282932 DOI: 10.1097/mnm.0000000000000933] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND Radical chemoradiotherapy is the primary treatment for head and neck cancers in many hospitals. Tumour hypoxia causes radiotherapy resistance and is an indicator of poor prognosis for patients. Identifying hypoxia to select patients for intensified or hypoxia-modified treatment regimens is therefore of high clinical importance. PATIENTS AND METHODS We evaluated hypoxia in a group of patients with newly diagnosed squamous cell head and neck cancer using the hypoxia-selective radiotracer [F]HX4. Patients underwent a single [F]HX4 PET/computed tomography scan prior to beginning chemoradiotherapy. RESULTS Three out of eight patients recruited were scanned with [F]HX4. Two out of three had pretreatment [F]FDG PET/computed tomography scans available for review. [F]HX4 tumour uptake varied between patients, with tumour to mediastinal ratios ranging from 1 to 3.5. CONCLUSION The spectrum of [F]HX4 uptake in this small series of patients exemplifies the difference in oxygenation profiles between histologically similar tumours. Performing an additional PET scan with [F]HX4 prior to chemoradiotherapy treatment was logistically challenging in a routine setting, and therefore validation of its clinical impact should be the focus of future studies [EudraCT number 2013-003563-58].
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Press RH, Shu HKG, Shim H, Mountz JM, Kurland BF, Wahl RL, Jones EF, Hylton NM, Gerstner ER, Nordstrom RJ, Henderson L, Kurdziel KA, Vikram B, Jacobs MA, Holdhoff M, Taylor E, Jaffray DA, Schwartz LH, Mankoff DA, Kinahan PE, Linden HM, Lambin P, Dilling TJ, Rubin DL, Hadjiiski L, Buatti JM. The Use of Quantitative Imaging in Radiation Oncology: A Quantitative Imaging Network (QIN) Perspective. Int J Radiat Oncol Biol Phys 2018; 102:1219-1235. [PMID: 29966725 PMCID: PMC6348006 DOI: 10.1016/j.ijrobp.2018.06.023] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2018] [Revised: 05/25/2018] [Accepted: 06/14/2018] [Indexed: 02/07/2023]
Abstract
Modern radiation therapy is delivered with great precision, in part by relying on high-resolution multidimensional anatomic imaging to define targets in space and time. The development of quantitative imaging (QI) modalities capable of monitoring biologic parameters could provide deeper insight into tumor biology and facilitate more personalized clinical decision-making. The Quantitative Imaging Network (QIN) was established by the National Cancer Institute to advance and validate these QI modalities in the context of oncology clinical trials. In particular, the QIN has significant interest in the application of QI to widen the therapeutic window of radiation therapy. QI modalities have great promise in radiation oncology and will help address significant clinical needs, including finer prognostication, more specific target delineation, reduction of normal tissue toxicity, identification of radioresistant disease, and clearer interpretation of treatment response. Patient-specific QI is being incorporated into radiation treatment design in ways such as dose escalation and adaptive replanning, with the intent of improving outcomes while lessening treatment morbidities. This review discusses the current vision of the QIN, current areas of investigation, and how the QIN hopes to enhance the integration of QI into the practice of radiation oncology.
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Affiliation(s)
- Robert H. Press
- Dept. of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA
| | - Hui-Kuo G. Shu
- Dept. of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA
| | - Hyunsuk Shim
- Dept. of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA
| | - James M. Mountz
- Dept. of Radiology, University of Pittsburgh, Pittsburgh, PA
| | | | | | - Ella F. Jones
- Dept. of Radiology, University of California, San Francisco, San Francisco, CA
| | - Nola M. Hylton
- Dept. of Radiology, University of California, San Francisco, San Francisco, CA
| | - Elizabeth R. Gerstner
- Dept. of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | | | - Lori Henderson
- Cancer Imaging Program, National Cancer Institute, Bethesda, MD
| | | | - Bhadrasain Vikram
- Radiation Research Program/Division of Cancer Treatment & Diagnosis, National Cancer Institute, Bethesda, MD
| | - Michael A. Jacobs
- Dept. of Radiology and Radiological Science, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore MD
| | - Matthias Holdhoff
- Brain Cancer Program, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore MD
| | - Edward Taylor
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - David A. Jaffray
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | | | - David A. Mankoff
- Dept. of Radiology, University of Pennsylvania, Philadelphia, PA
| | | | | | - Philippe Lambin
- Dept. of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Thomas J. Dilling
- Dept. of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | | | | | - John M. Buatti
- Dept. of Radiation Oncology, University of Iowa, Iowa City, IA
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How to Modulate Tumor Hypoxia for Preclinical In Vivo Imaging Research. CONTRAST MEDIA & MOLECULAR IMAGING 2018; 2018:4608186. [PMID: 30420794 PMCID: PMC6211155 DOI: 10.1155/2018/4608186] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 07/24/2018] [Accepted: 08/13/2018] [Indexed: 01/20/2023]
Abstract
Tumor hypoxia is related with tumor aggressiveness, chemo- and radiotherapy resistance, and thus a poor clinical outcome. Therefore, over the past decades, every effort has been made to develop strategies to battle the negative prognostic influence of tumor hypoxia. For appropriate patient selection and follow-up, noninvasive imaging biomarkers such as positron emission tomography (PET) radiolabeled ligands are unprecedentedly needed. Importantly, before being able to implement these new therapies and potential biomarkers into the clinical setting, preclinical in vivo validation in adequate animal models is indispensable. In this review, we provide an overview of the different attempts that have been made to create differential hypoxic in vivo cancer models with a particular focus on their applicability in PET imaging studies.
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Stieb S, Eleftheriou A, Warnock G, Guckenberger M, Riesterer O. Longitudinal PET imaging of tumor hypoxia during the course of radiotherapy. Eur J Nucl Med Mol Imaging 2018; 45:2201-2217. [PMID: 30128659 DOI: 10.1007/s00259-018-4116-y] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 07/30/2018] [Indexed: 12/11/2022]
Abstract
Hypoxia results from an imbalance between oxygen supply and consumption. It is a common phenomenon in solid malignant tumors such as head and neck cancer. As hypoxic cells are more resistant to therapy, tumor hypoxia is an indicator for poor prognosis. Several techniques have been developed to measure tissue oxygenation. These are the Eppendorf O2 polarographic needle electrode, immunohistochemical analysis of endogenous (e.g., hypoxia-inducible factor-1α (HIF-1a)) and exogenous markers (e.g., pimonidazole) as well as imaging methods such as functional magnetic resonance imaging (e.g., blood oxygen level dependent (BOLD) imaging, T1-weighted imaging) and hypoxia positron emission tomography (PET). Among the imaging modalities, only PET is sufficiently validated to detect hypoxia for clinical use. Hypoxia PET tracers include 18F-fluoromisonidazole (FMISO), the most commonly used hypoxic marker, 18F-flouroazomycin arabinoside (FAZA), 18Ffluoroerythronitroimidazole (FETNIM), 18F-2-nitroimidazolpentafluoropropylacetamide (EF5) and 18F-flortanidazole (HX4). As technical development provides the opportunity to increase the radiation dose to subregions of the tumor, such as hypoxic areas, it has to be ensured that these regions are stable not only from imaging to treatment but also through the course of radiotherapy. The aim of this review is therefore to characterize the behavior of tumor hypoxia during radiotherapy for the whole tumor and for subregions by using hypoxia PET tracers, with focus on head and neck cancer patients.
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Affiliation(s)
- Sonja Stieb
- Department of Radiation Oncology, University Hospital and University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland. .,Institute of Diagnostic and Interventional Radiology, University Hospital and University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.
| | - Afroditi Eleftheriou
- Department of Pharmacology and Toxicology, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
| | - Geoffrey Warnock
- Department of Pharmacology and Toxicology, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.,Department of Nuclear Medicine, University Hospital and University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Matthias Guckenberger
- Department of Radiation Oncology, University Hospital and University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Oliver Riesterer
- Department of Radiation Oncology, University Hospital and University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
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De Bruycker S, Vangestel C, Van den Wyngaert T, Pauwels P, Wyffels L, Staelens S, Stroobants S. 18F-Flortanidazole Hypoxia PET Holds Promise as a Prognostic and Predictive Imaging Biomarker in a Lung Cancer Xenograft Model Treated with Metformin and Radiotherapy. J Nucl Med 2018; 60:34-40. [PMID: 29980581 DOI: 10.2967/jnumed.118.212225] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 06/23/2018] [Indexed: 12/15/2022] Open
Abstract
Metformin may improve tumor oxygenation and thus radiotherapy response, but imaging biomarkers for selection of suitable patients are still under investigation. First, we assessed the effect of acute metformin administration on non-small cell lung cancer xenograft tumor hypoxia using PET imaging with the hypoxia tracer 18F-flortanidazole. Second, we verified the effect of a single dose of metformin before radiotherapy on long-term treatment outcome. Third, we examined the potential of baseline 18F-flortanidazole as a prognostic or predictive biomarker for treatment response. Methods: A549 tumor-bearing mice underwent a 18F-flortanidazole PET/CT scan to determine baseline tumor hypoxia. The next day, mice received a 100 mg/kg intravenous injection of metformin. 18F-flortanidazole was administered intravenously 30 min later, and a second PET/CT scan was performed to assess changes in tumor hypoxia. Two days later, the mice were divided into 3 therapy groups: controls (group 1), radiotherapy (group 2), and metformin + radiotherapy (group 3). Animals received saline (groups 1-2) or metformin (100 mg/kg; group 3) intravenously, followed by a single radiotherapy dose of 10 Gy (groups 2-3) or sham irradiation (group 1) 30 min later. Tumor growth was monitored triweekly by caliper measurement, and tumor volume relative to baseline was calculated. The tumor doubling time (TDT), that is, the time to reach twice the preirradiation tumor volume, was defined as the endpoint. Results: Thirty minutes after metformin treatment, 18F-flortanidazole demonstrated a significant change in tumor hypoxia, with a mean intratumoral reduction in 18F-flortanidazole tumor-to-background ratio (TBR) from 3.21 ± 0.13 to 2.87 ± 0.13 (P = 0.0001). Overall, relative tumor volume over time differed across treatment groups (P < 0.0001). Similarly, the median TDT was 19, 34, and 52 d in controls, the radiotherapy group, and the metformin + radiotherapy group, respectively (log-rank P < 0.0001). Both baseline 18F-flortanidazole TBR (hazard ratio, 2.0; P = 0.0004) and change from baseline TBR (hazard ratio, 0.39; P = 0.04) were prognostic biomarkers for TDT irrespective of treatment, and baseline TBR predicted metformin-specific treatment effects that were dependent on baseline tumor hypoxia. Conclusion: Using 18F-flortanidazole PET imaging in a non-small cell lung cancer xenograft model, we showed that metformin may act as a radiosensitizer by increasing tumor oxygenation and that baseline 18F-flortanidazole shows promise as an imaging biomarker.
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Affiliation(s)
- Sven De Bruycker
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium
| | - Christel Vangestel
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium.,Department of Nuclear Medicine, Antwerp University Hospital, Edegem, Belgium; and
| | - Tim Van den Wyngaert
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium.,Department of Nuclear Medicine, Antwerp University Hospital, Edegem, Belgium; and
| | - Patrick Pauwels
- Center for Oncological Research (CORE), University of Antwerp, Wilrijk, Belgium
| | - Leonie Wyffels
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium.,Department of Nuclear Medicine, Antwerp University Hospital, Edegem, Belgium; and
| | - Steven Staelens
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium
| | - Sigrid Stroobants
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium .,Department of Nuclear Medicine, Antwerp University Hospital, Edegem, Belgium; and
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Ureba A, Lindblom E, Dasu A, Uhrdin J, Even AJG, van Elmpt W, Lambin P, Wersäll P, Toma-Dasu I. Non-linear conversion of HX4 uptake for automatic segmentation of hypoxic volumes and dose prescription. Acta Oncol 2018; 57:485-490. [PMID: 29141489 DOI: 10.1080/0284186x.2017.1400177] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Tumour hypoxia is associated with increased radioresistance and poor response to radiotherapy. Pre-treatment assessment of tumour oxygenation could therefore give the possibility to tailor the treatment by calculating the required boost dose needed to overcome the increased radioresistance in hypoxic tumours. This study concerned the derivation of a non-linear conversion function between the uptake of the hypoxia-PET tracer 18F-HX4 and oxygen partial pressure (pO2). MATERIAL AND METHODS Building on previous experience with FMISO including experimental data on tracer uptake and pO2, tracer-specific model parameters were derived for converting the normalised HX4-uptake at the optimal imaging time point to pO2. The conversion function was implemented in a Python-based computational platform utilising the scripting and the registration modules of the treatment planning system RayStation. Subsequently, the conversion function was applied to determine the pO2 in eight non-small-cell lung cancer (NSCLC) patients imaged with HX4-PET before the start of radiotherapy. Automatic segmentation of hypoxic target volumes (HTVs) was then performed using thresholds around 10 mmHg. The HTVs were compared to sub-volumes segmented based on a tumour-to-blood ratio (TBR) of 1.4 using the aortic arch as the reference oxygenated region. The boost dose required to achieve 95% local control was then calculated based on the calibrated levels of hypoxia, assuming inter-fraction reoxygenation due to changes in acute hypoxia but no overall improvement of the oxygenation status. RESULTS Using the developed conversion tool, HTVs could be obtained using pO2 a threshold of 10 mmHg which were in agreement with the TBR segmentation. The dose levels required to the HTVs to achieve local control were feasible, being around 70-80 Gy in 24 fractions. CONCLUSIONS Non-linear conversion of tracer uptake to pO2 in NSCLC imaged with HX4-PET allows a quantitative determination of the dose-boost needed to achieve a high probability of local control.
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Affiliation(s)
- Ana Ureba
- Medical Radiation Physics, Department of Physics, Stockholm University, Stockholm, Sweden
| | - Emely Lindblom
- Medical Radiation Physics, Department of Physics, Stockholm University, Stockholm, Sweden
| | | | | | - Aniek J. G. Even
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Wouter van Elmpt
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Philippe Lambin
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Peter Wersäll
- Department of Oncology, Karolinska University Hospital, Stockholm, Sweden
| | - Iuliana Toma-Dasu
- Medical Radiation Physics, Department of Physics, Stockholm University, Stockholm, Sweden
- Medical Radiation Physics, Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
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Nunes PSG, Zhang Z, Kuo HT, Zhang C, Rousseau J, Rousseau E, Lau J, Kwon D, Carvalho I, Bénard F, Lin KS. Synthesis and evaluation of an 18
F-labeled trifluoroborate derivative of 2-nitroimidazole for imaging tumor hypoxia with positron emission tomography. J Labelled Comp Radiopharm 2018; 61:370-379. [DOI: 10.1002/jlcr.3594] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 12/02/2017] [Accepted: 12/04/2017] [Indexed: 01/07/2023]
Affiliation(s)
- Paulo Sérgio Gonçalves Nunes
- School of Pharmaceutical Sciences of Ribeirão Preto; University of São Paulo; Ribeirão Preto SP Brazil
- Department of Molecular Oncology; BC Cancer Agency; Vancouver BC Canada
| | - Zhengxing Zhang
- Department of Molecular Oncology; BC Cancer Agency; Vancouver BC Canada
| | - Hsiou-Ting Kuo
- Department of Molecular Oncology; BC Cancer Agency; Vancouver BC Canada
| | - Chengcheng Zhang
- Department of Molecular Oncology; BC Cancer Agency; Vancouver BC Canada
| | - Julie Rousseau
- Department of Molecular Oncology; BC Cancer Agency; Vancouver BC Canada
| | - Etienne Rousseau
- Department of Molecular Oncology; BC Cancer Agency; Vancouver BC Canada
| | - Joseph Lau
- Department of Molecular Oncology; BC Cancer Agency; Vancouver BC Canada
| | - Daniel Kwon
- Department of Molecular Oncology; BC Cancer Agency; Vancouver BC Canada
| | - Ivone Carvalho
- School of Pharmaceutical Sciences of Ribeirão Preto; University of São Paulo; Ribeirão Preto SP Brazil
| | - François Bénard
- Department of Molecular Oncology; BC Cancer Agency; Vancouver BC Canada
- Department of Functional Imaging; BC Cancer Agency; Vancouver BC Canada
- Department of Radiology; University of British Columbia; Vancouver BC Canada
| | - Kuo-Shyan Lin
- Department of Molecular Oncology; BC Cancer Agency; Vancouver BC Canada
- Department of Functional Imaging; BC Cancer Agency; Vancouver BC Canada
- Department of Radiology; University of British Columbia; Vancouver BC Canada
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Noninvasive Glioblastoma Testing: Multimodal Approach to Monitoring and Predicting Treatment Response. DISEASE MARKERS 2018; 2018:2908609. [PMID: 29581794 PMCID: PMC5822799 DOI: 10.1155/2018/2908609] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Accepted: 11/20/2017] [Indexed: 12/30/2022]
Abstract
Glioblastoma is the most aggressive adult primary brain tumor which is incurable despite intensive multimodal treatment. Inter- and intratumoral heterogeneity poses one of the biggest barriers in the diagnosis and treatment of glioblastoma, causing differences in treatment response and outcome. Noninvasive prognostic and predictive tests are highly needed to complement the current armamentarium. Noninvasive testing of glioblastoma uses multiple techniques that can capture the heterogeneity of glioblastoma. This set of diagnostic approaches comprises advanced MRI techniques, nuclear imaging, liquid biopsy, and new integrated approaches including radiogenomics and radiomics. New treatment options such as agents targeted at driver oncogenes and immunotherapy are currently being developed, but benefit for glioblastoma patients still has to be demonstrated. Understanding and unraveling tumor heterogeneity and microenvironment can help to create a treatment regime that is patient-tailored to these specific tumor characteristics. Improved noninvasive tests are crucial to this success. This review discusses multiple diagnostic approaches and their effect on predicting and monitoring treatment response in glioblastoma.
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Even AJG, Reymen B, La Fontaine MD, Das M, Jochems A, Mottaghy FM, Belderbos JSA, De Ruysscher D, Lambin P, van Elmpt W. Predicting tumor hypoxia in non-small cell lung cancer by combining CT, FDG PET and dynamic contrast-enhanced CT. Acta Oncol 2017; 56:1591-1596. [PMID: 28840770 DOI: 10.1080/0284186x.2017.1349332] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Most solid tumors contain inadequately oxygenated (i.e., hypoxic) regions, which tend to be more aggressive and treatment resistant. Hypoxia PET allows visualization of hypoxia and may enable treatment adaptation. However, hypoxia PET imaging is expensive, time-consuming and not widely available. We aimed to predict hypoxia levels in non-small cell lung cancer (NSCLC) using more easily available imaging modalities: FDG-PET/CT and dynamic contrast-enhanced CT (DCE-CT). MATERIAL AND METHODS For 34 NSCLC patients, included in two clinical trials, hypoxia HX4-PET/CT, planning FDG-PET/CT and DCE-CT scans were acquired before radiotherapy. Scans were non-rigidly registered to the planning CT. Tumor blood flow (BF) and blood volume (BV) were calculated by kinetic analysis of DCE-CT images. Within the gross tumor volume, independent clusters, i.e., supervoxels, were created based on FDG-PET/CT. For each supervoxel, tumor-to-background ratios (TBR) were calculated (median SUV/aorta SUVmean) for HX4-PET/CT and supervoxel features (median, SD, entropy) for the other modalities. Two random forest models (cross-validated: 10 folds, five repeats) were trained to predict the hypoxia TBR; one based on CT, FDG, BF and BV, and one with only CT and FDG features. Patients were split in a training (trial NCT01024829) and independent test set (trial NCT01210378). For each patient, predicted, and observed hypoxic volumes (HV) (TBR > 1.2) were compared. RESULTS Fifteen patients (3291 supervoxels) were used for training and 19 patients (1502 supervoxels) for testing. The model with all features (RMSE training: 0.19 ± 0.01, test: 0.27) outperformed the model with only CT and FDG-PET features (RMSE training: 0.20 ± 0.01, test: 0.29). All tumors of the test set were correctly classified as normoxic or hypoxic (HV > 1 cm3) by the best performing model. CONCLUSIONS We created a data-driven methodology to predict hypoxia levels and hypoxia spatial patterns using CT, FDG-PET and DCE-CT features in NSCLC. The model correctly classifies all tumors, and could therefore, aid tumor hypoxia classification and patient stratification.
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Affiliation(s)
- Aniek J. G. Even
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Bart Reymen
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Matthew D. La Fontaine
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Marco Das
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Arthur Jochems
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Felix M. Mottaghy
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Nuclear Medicine, University Hospital Aachen, Aachen, Germany
| | - José S. A. Belderbos
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Dirk De Ruysscher
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Philippe Lambin
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Wouter van Elmpt
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
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Shi K, Bayer C, Astner ST, Gaertner FC, Vaupel P, Schwaiger M, Huang SC, Ziegler SI. Quantitative Analysis of [ 18F]FMISO PET for Tumor Hypoxia: Correlation of Modeling Results with Immunohistochemistry. Mol Imaging Biol 2017; 19:120-129. [PMID: 27379986 DOI: 10.1007/s11307-016-0975-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
PURPOSE Quantitative evaluation of tumor hypoxia based on H-1-(3-[18F]fluoro-2-hydroxypropyl)-2-nitroimidazole ([18F]FMISO) positron emission tomography (PET) can deliver important information for treatment planning in radiotherapy. However, the merits and limitations of different analysis methods in revealing the underlying physiological feature are not clear. This study aimed to assess these quantitative analysis methods with the support of immunohistological data. PROCEDURES Sixteen nude mice bearing xenografted human squamous cell carcinomas (FaDu or CAL-33) were scanned using 2-h dynamic [18F]FMISO PET. Tumors were resected and sliced, and the hypoxia marker pimonidazole was immunostained followed by H&E staining. The pimonidazole signal was segmented using a k-means clustering algorithm, and the hypoxic fraction (HF) was calculated as the hypoxic area/viable tumor-tissue-area ratio pooled over three tissue slices from the apical, center, and basal layers. PET images were analyzed using various methods including static analysis [standard uptake value (SUV), tumor-to-blood ratio (T/B), tumor-to-muscle ratio (T/M)] and kinetic modeling (Casciari αk A , irreversible and reversible two-tissue compartment k 3, Thorwarth w A k 3, Patlak K i , Logan V d , Cho K), and correlated with HF. RESULTS No significant correlation was found for static analysis. A significant correlation between k 3 of the irreversible two-tissue compartment model and HF was observed (r = 0.61, p = 0.01). The correlation between HF and αk A of the Casciari model could be improved through reducing local minima by testing more sets of initial values (r = 0.59, p = 0.02) or by reducing the model complexity by fixing three parameters (r = 0.63, p = 0.0008). CONCLUSIONS With support of immunohistochemistry data, this study shows that various analysis methods for [18F]FMISO PET perform differently for assessment of tumor hypoxia. A better fitting quality does not necessarily mean a higher physiological correlation. Hypoxia PET analysis needs to consider both the mathematical stability and physiological fidelity. Based on the results of this study, preference should be given to the irreversible two-tissue compartment model as well as the Casciari model with reduced parameters.
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Affiliation(s)
- Kuangyu Shi
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technische Universität München, Ismaningerstrasse. 22, 81675, Munich, Germany.
| | - Christine Bayer
- Department of Radiooncology and Radiotherapy, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Sabrina T Astner
- Department of Radiooncology and Radiotherapy, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Florian C Gaertner
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technische Universität München, Ismaningerstrasse. 22, 81675, Munich, Germany
| | - Peter Vaupel
- Department of Radiooncology and Radiotherapy, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Markus Schwaiger
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technische Universität München, Ismaningerstrasse. 22, 81675, Munich, Germany
| | - Sung-Cheng Huang
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Sibylle I Ziegler
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technische Universität München, Ismaningerstrasse. 22, 81675, Munich, Germany
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De Bruycker S, Vangestel C, Van den Wyngaert T, Wyffels L, Wouters A, Pauwels P, Staelens S, Stroobants S. Baseline [(18)F]FMISO μPET as a Predictive Biomarker for Response to HIF-1α Inhibition Combined with 5-FU Chemotherapy in a Human Colorectal Cancer Xenograft Model. Mol Imaging Biol 2017; 18:606-16. [PMID: 26728163 DOI: 10.1007/s11307-015-0926-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
PURPOSE The purpose of this study was to characterize imaging biomarkers for the potential benefit of hypoxia-inducible factor-1 (HIF-1)α inhibition (by PX-12) during 5-fluorouracil (5-FU) chemotherapy in the treatment of colorectal cancer (CRC). PROCEDURES Therapy response to 5-FU ± PX-12 was assessed with baseline [(18)F]fluoromisonidazole ([(18)F]FMISO) and longitudinal 2-deoxy-2-[(18)F]fluoro-D-glucose ([(18)F]FDG) positron emission computed tomography (μPET/CT) in CRC xenograft model (n = 36) during breathing of a hypoxic (10 % O2) or normoxic (21 % O2) atmosphere. Ex vivo, immunohistochemistry was performed. RESULTS Baseline [(18)F]FMISO uptake and relative tumor volume (RTV) 2 days after 5-FU or 5-FU + PX-12 administration correlated significantly (p ≤ 0.01). Under hypoxic breathing conditions, [(18)F]FDG uptake (-53.1 ± 8.4 %) and Ki67 expression (-16 %) decreased and RTV stagnated in the 5-FU + PX-12 treatment group, but not in 5-FU alone-treated tumors. Under normoxic breathing, [(18)F]FDG uptake (-23.5 ± 15.2 % and -72.8 ± 7.1 %) and Ki67 expression (-5 % and -19 %) decreased and RTV stagnated in both the 5-FU and the combination treatment group, respectively. CONCLUSION Baseline [(18)F]FMISO μPET may predict the beneficial effect of HIF-1α inhibition during 5-FU chemotherapy in CRC.
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Affiliation(s)
- Sven De Bruycker
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, Belgium
| | - Christel Vangestel
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, Belgium.,Department of Nuclear Medicine, Antwerp University Hospital, Wilrijkstraat 10, 2650, Edegem, Antwerp, Belgium
| | - Tim Van den Wyngaert
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, Belgium.,Department of Nuclear Medicine, Antwerp University Hospital, Wilrijkstraat 10, 2650, Edegem, Antwerp, Belgium
| | - Leonie Wyffels
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, Belgium.,Department of Nuclear Medicine, Antwerp University Hospital, Wilrijkstraat 10, 2650, Edegem, Antwerp, Belgium
| | - An Wouters
- Center for Oncological Research (CORE), University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, Belgium
| | - Patrick Pauwels
- Center for Oncological Research (CORE), University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, Belgium
| | - Steven Staelens
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, Belgium
| | - Sigrid Stroobants
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, Belgium. .,Department of Nuclear Medicine, Antwerp University Hospital, Wilrijkstraat 10, 2650, Edegem, Antwerp, Belgium.
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Thorwarth D, Wack LJ, Mönnich D. Hypoxia PET imaging techniques: data acquisition and analysis. Clin Transl Imaging 2017. [DOI: 10.1007/s40336-017-0250-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Raccagni I, Valtorta S, Moresco RM, Belloli S. Tumour hypoxia: lessons learnt from preclinical imaging. Clin Transl Imaging 2017. [DOI: 10.1007/s40336-017-0248-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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A novel concept for tumour targeting with radiation: Inverse dose-painting or targeting the “Low Drug Uptake Volume”. Radiother Oncol 2017; 124:513-520. [DOI: 10.1016/j.radonc.2017.04.020] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 03/17/2017] [Accepted: 04/21/2017] [Indexed: 01/21/2023]
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Löck S, Perrin R, Seidlitz A, Bandurska-Luque A, Zschaeck S, Zöphel K, Krause M, Steinbach J, Kotzerke J, Zips D, Troost EGC, Baumann M. Residual tumour hypoxia in head-and-neck cancer patients undergoing primary radiochemotherapy, final results of a prospective trial on repeat FMISO-PET imaging. Radiother Oncol 2017; 124:533-540. [PMID: 28843726 DOI: 10.1016/j.radonc.2017.08.010] [Citation(s) in RCA: 101] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Revised: 08/07/2017] [Accepted: 08/07/2017] [Indexed: 12/31/2022]
Abstract
BACKGROUND Hypoxia is a well recognised parameter of tumour resistance to radiotherapy, a number of anticancer drugs and potentially immunotherapy. In a previously published exploration cohort of 25 head and neck squamous cell carcinoma (HNSCC) patients on [18F]fluoromisonidazole positron emission tomography (FMISO-PET) we identified residual tumour hypoxia during radiochemotherapy, not before start of treatment, as the driving mechanism of hypoxia-mediated therapy resistance. Several quantitative FMISO-PET parameters were identified as potential prognostic biomarkers. Here we present the results of the prospective validation cohort, and the overall results of the study. METHODS FMISO-PET/CT images of further 25 HNSCC patients were acquired at four time-points before and during radiochemotherapy (RCHT). Peak standardised uptake value, tumour-to-background ratio, and hypoxic volume were analysed. The impact of the potential prognostic parameters on loco-regional tumour control (LRC) was validated by the concordance index (ci) using univariable and multivariable Cox models based on the exploration cohort. Log-rank tests were employed to compare the endpoint between risk groups. RESULTS The two cohorts differed significantly in several baseline parameters, e.g., tumour volume, hypoxic volume, HPV status, and intercurrent death. Validation was successful for several FMISO-PET parameters and showed the highest performance (ci=0.77-0.81) after weeks 1 and 2 of treatment. Cut-off values for the FMISO-PET parameters could be validated after week 2 of RCHT. Median values for the residual hypoxic volume, defined as the ratio of the hypoxic volume in week 2 of RCHT and at baseline, stratified patients into groups of significantly different LRC when applied to the respective other cohort. CONCLUSION Our study validates that residual tumour hypoxia during radiochemotherapy is a major driver of therapy resistance of HNSCC, and that hypoxia after the second week of treatment measured by FMISO-PET may serve as biomarker for selection of patients at high risk of loco-regional recurrence after state-of-the art radiochemotherapy.
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Affiliation(s)
- Steffen Löck
- OncoRay - National Center for Radiation Research in Oncology, Biostatistics and Modeling in Radiation Oncology Group, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Germany; OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Germany; Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany; German Cancer Consortium (DKTK), partner site Dresden, Germany
| | - Rosalind Perrin
- OncoRay - National Center for Radiation Research in Oncology, Biostatistics and Modeling in Radiation Oncology Group, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Germany; Center for Proton Therapy, Paul Scherrer Institute, Switzerland
| | - Annekatrin Seidlitz
- OncoRay - National Center for Radiation Research in Oncology, Biostatistics and Modeling in Radiation Oncology Group, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Germany; Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany
| | - Anna Bandurska-Luque
- OncoRay - National Center for Radiation Research in Oncology, Biostatistics and Modeling in Radiation Oncology Group, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Germany; Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany
| | - Sebastian Zschaeck
- OncoRay - National Center for Radiation Research in Oncology, Biostatistics and Modeling in Radiation Oncology Group, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Germany; Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany
| | - Klaus Zöphel
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany; National Center for Tumor Diseases, partner site Dresden, Germany
| | - Mechthild Krause
- OncoRay - National Center for Radiation Research in Oncology, Biostatistics and Modeling in Radiation Oncology Group, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Germany; Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany; German Cancer Consortium (DKTK), partner site Dresden, Germany; National Center for Tumor Diseases, partner site Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology - OncoRay, Germany; Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
| | - Jörg Steinbach
- National Center for Tumor Diseases, partner site Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Germany
| | - Jörg Kotzerke
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany; National Center for Tumor Diseases, partner site Dresden, Germany
| | - Daniel Zips
- Department of Radiation Oncology, Eberhard Karls Universität Tübingen, Germany; German Cancer Consortium (DKTK), partner site Tübingen, Germany
| | - Esther G C Troost
- OncoRay - National Center for Radiation Research in Oncology, Biostatistics and Modeling in Radiation Oncology Group, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Germany; Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany; German Cancer Consortium (DKTK), partner site Dresden, Germany; National Center for Tumor Diseases, partner site Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology - OncoRay, Germany.
| | - Michael Baumann
- OncoRay - National Center for Radiation Research in Oncology, Biostatistics and Modeling in Radiation Oncology Group, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Germany; Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany; German Cancer Consortium (DKTK), partner site Dresden, Germany; National Center for Tumor Diseases, partner site Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology - OncoRay, Germany; Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
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Gallez B, Neveu MA, Danhier P, Jordan BF. Manipulation of tumor oxygenation and radiosensitivity through modification of cell respiration. A critical review of approaches and imaging biomarkers for therapeutic guidance. BIOCHIMICA ET BIOPHYSICA ACTA-BIOENERGETICS 2017; 1858:700-711. [DOI: 10.1016/j.bbabio.2017.01.002] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Revised: 01/05/2017] [Accepted: 01/06/2017] [Indexed: 11/17/2022]
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Peerlings J, Van De Voorde L, Mitea C, Larue R, Yaromina A, Sandeleanu S, Spiegelberg L, Dubois L, Lambin P, Mottaghy FM. Hypoxia and hypoxia response-associated molecular markers in esophageal cancer: A systematic review. Methods 2017; 130:51-62. [PMID: 28705470 DOI: 10.1016/j.ymeth.2017.07.002] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Revised: 06/08/2017] [Accepted: 07/04/2017] [Indexed: 12/22/2022] Open
Abstract
PURPOSE In this systematic review, the existing evidence of available hypoxia-associated molecular response biomarkers in esophageal cancer (EC) patients is summarized and set into the context of the role of hypoxia in the prediction of esophageal cancer, treatment response and treatment outcome. METHODS A systematic literature search was performed in Web of Science, MEDLINE, and PubMed databases using the keywords: hypoxia, esophagus, cancer, treatment outcome and treatment response. Eligible publications were independently evaluated by two reviewers. In total, 22 out of 419 records were included for systematic review. The described search strategy was applied weekly, with the last update being performed on April 3rd, 2017. RESULTS In esophageal cancer, several (non-)invasive biomarkers for hypoxia could be identified. Independent prognostic factors for treatment response include HIF-1α, CA IX, GLUT-1 overexpression and elevated uptake of the PET-tracer 18F-fluoroerythronitroimidazole (18F-FETNIM). Hypoxia-associated molecular responses represents a clinically relevant phenomenon in esophageal cancer and detection of elevated levels of hypoxia-associated biomarkers and tends to be associated with poor treatment outcome (i.e., overall survival, disease-free survival, complete response and local control). CONCLUSION Evaluation of tumor micro-environmental conditions, such as intratumoral hypoxia, is important to predict treatment outcome and efficacy. Promising non-invasive imaging-techniques have been suggested to assess tumor hypoxia and hypoxia-associated molecular responses. However, extensive validation in EC is lacking. Hypoxia-associated markers that are independent prognostic factors could potentially provide targets for novel treatment strategies to improve treatment outcome. For personalized hypoxia-guided treatment, safe and reliable makers for tumor hypoxia are needed to select suitable patients.
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Affiliation(s)
- Jurgen Peerlings
- MAASTRO Clinic, Department of Radiation Oncology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands.
| | - Lien Van De Voorde
- MAASTRO Clinic, Department of Radiation Oncology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Cristina Mitea
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ruben Larue
- MAASTRO Clinic, Department of Radiation Oncology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ala Yaromina
- MAASTRO Clinic, Department of Radiation Oncology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Sebastian Sandeleanu
- MAASTRO Clinic, Department of Radiation Oncology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Linda Spiegelberg
- MAASTRO Clinic, Department of Radiation Oncology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ludwig Dubois
- MAASTRO Clinic, Department of Radiation Oncology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Philippe Lambin
- MAASTRO Clinic, Department of Radiation Oncology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Felix M Mottaghy
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands; Department of Nuclear Medicine, University Hospital RWTH Aachen University, Aachen, Germany
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Lindblom E, Dasu A, Uhrdin J, Even A, van Elmpt W, Lambin P, Wersäll P, Toma-Dasu I. Defining the hypoxic target volume based on positron emission tomography for image guided radiotherapy - the influence of the choice of the reference region and conversion function. Acta Oncol 2017; 56:819-825. [PMID: 28464740 DOI: 10.1080/0284186x.2017.1293289] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND Hypoxia imaged by positron emission tomography (PET) is a potential target for optimization in radiotherapy. However, the implementation of this approach with respect to the conversion of intensities in the images into oxygenation and radiosensitivity maps is not straightforward. This study investigated the feasibility of applying two conversion approaches previously derived for 18F-labeled fluoromisonidazole (18F-FMISO)-PET images for the hypoxia tracer 18F-flortanidazole (18F-HX4). MATERIAL AND METHODS Ten non-small-cell lung cancer patients imaged with 18F-HX4 before the start of radiotherapy were considered in this study. PET image uptake was normalized to a well-oxygenated reference region and subsequently linear and non-linear conversions were used to determine tissue oxygenations maps. These were subsequently used to delineate hypoxic volumes based partial oxygen pressure (pO2) thresholds. The results were compared to hypoxic volumes segmented using a tissue-to-background ratio of 1.4 for 18F-HX4 uptake. RESULTS While the linear conversion function was not found to result in realistic oxygenation maps, the non-linear function resulted in reasonably sized sub-volumes in good agreement with uptake-based segmented volumes for a limited range of pO2 thresholds. However, the pO2 values corresponding to this range were significantly higher than what is normally considered as hypoxia. The similarity in size, shape, and relative location between uptake-based sub-volumes and volumes based on the conversion to pO2 suggests that the relationship between uptake and pO2 is similar for 18F-FMISO and 18F-HX4, but that the model parameters need to be adjusted for the latter. CONCLUSIONS A non-linear conversion function between uptake and oxygen partial pressure for 18F-FMISO-PET could be applied to 18F-HX4 images to delineate hypoxic sub-volumes of similar size, shape, and relative location as based directly on the uptake. In order to apply the model for e.g., dose-painting, new parameters need to be derived for the accurate calculation of dose-modifying factors for this tracer.
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Affiliation(s)
- Emely Lindblom
- Medical Radiation Physics, Department of Physics, Stockholm University, Stockholm, Sweden
| | - Alexandru Dasu
- The Skandion Clinic, Uppsala, Sweden
- Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | | | - Aniek Even
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Wouter van Elmpt
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Philippe Lambin
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Peter Wersäll
- Department of Oncology, Karolinska University Hospital, Stockholm, Sweden
| | - Iuliana Toma-Dasu
- Medical Radiation Physics, Department of Physics, Stockholm University, Stockholm, Sweden
- Medical Radiation Physics, Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
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Thermal combination therapies for local drug delivery by magnetic resonance-guided high-intensity focused ultrasound. Proc Natl Acad Sci U S A 2017; 114:E4802-E4811. [PMID: 28566498 DOI: 10.1073/pnas.1700790114] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Several thermal-therapy strategies such as thermal ablation, hyperthermia-triggered drug delivery from temperature-sensitive liposomes (TSLs), and combinations of the above were investigated in a rhabdomyosarcoma rat tumor model (n = 113). Magnetic resonance-guided high-intensity focused ultrasound (MR-HIFU) was used as a noninvasive heating device with precise temperature control for image-guided drug delivery. For the latter, TSLs were prepared, coencapsulating doxorubicin (dox) and [Gd(HPDO3A)(H2O)], and injected in tumor-bearing rats before MR-HIFU treatment. Four treatment groups were defined: hyperthermia, ablation, hyperthermia followed by ablation, or no HIFU. The intratumoral TSL and dox distribution were analyzed by single-photon emission computed tomography (SPECT)/computed tomography (CT), autoradiography, and fluorescence microscopy. Dox biodistribution was quantified and compared with that of nonliposomal dox. Finally, the treatment efficacy of all heating strategies plus additional control groups (saline, free dox, and Caelyx) was assessed by tumor growth measurements. All HIFU heating strategies combined with TSLs resulted in cellular uptake of dox deep into the interstitial space and a significant increase of tumor drug concentrations compared with a treatment with free dox. Ablation after TSL injection showed [Gd(HPDO3A)(H2O)] and dox release along the tumor rim, mirroring the TSL distribution pattern. Hyperthermia either as standalone treatment or before ablation ensured homogeneous TSL, [Gd(HPDO3A)(H2O)], and dox delivery across the tumor. The combination of hyperthermia-triggered drug delivery followed by ablation showed the best therapeutic outcome compared with all other treatment groups due to direct induction of thermal necrosis in the tumor core and efficient drug delivery to the tumor rim.
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