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Jordan S, Ryu S, Burchett W, Davis C, Jones R, Zhang S, Zueva L, Chang G, Di L. Comparison of Tumor Binding Across Tumor Types and Cell Lines to Support Free Drug Considerations for Oncology Drug Discovery. J Pharm Sci 2024; 113:826-835. [PMID: 38042346 DOI: 10.1016/j.xphs.2023.11.024] [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: 09/25/2023] [Revised: 11/24/2023] [Accepted: 11/24/2023] [Indexed: 12/04/2023]
Abstract
Tumor binding is an important parameter to derive unbound tumor concentration to explore pharmacokinetics (PK) and pharmacodynamics (PD) relationships for oncology disease targets. Tumor binding was evaluated using eleven matrices, including various commonly used ex vivo human and mouse xenograft and syngeneic tumors, tumor cell lines and liver as a surrogate tissue. The results showed that tumor binding is highly correlated among the different tumors and tumor cell lines except for the mouse melanoma (B16F10) tumor type. Liver fraction unbound (fu) has a good correlation with B16F10 tumor binding. Liver also demonstrates a two-fold equivalency, on average, with binding of other tumor types when a scaling factor is applied. Predictive models were developed for tumor binding, with correlations established with LogD (acids), predicted muscle fu (neutrals) and measured plasma protein binding (bases) to estimate tumor fu when experimental data are not available. Many approaches can be applied to obtain and estimate tumor binding values. One strategy proposed is to use a surrogate tumor tissue, such as mouse xenograft ovarian cancer (OVCAR3) tumor, as a surrogate for tumor binding (except for B16F10) to provide an early assessment of unbound tumor concentrations for development of PK/PD relationships.
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Affiliation(s)
- Samantha Jordan
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Groton, CT, United States
| | - Sangwoo Ryu
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Groton, CT, United States
| | - Woodrow Burchett
- Global Biometrics and Data Management, Pfizer Worldwide Research and Development, Groton, CT, United States
| | - Carl Davis
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, La Jolla, CA, United States
| | - Rhys Jones
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, La Jolla, CA, United States
| | - Sam Zhang
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Groton, CT, United States
| | - Larisa Zueva
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Groton, CT, United States
| | - George Chang
- Translational Modeling and Simulation, Pfizer Worldwide Research and Development, Groton, CT, United States
| | - Li Di
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Groton, CT, United States.
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Gerwing M, Krähling T, Schliemann C, Harrach S, Schwöppe C, Berdel AF, Klein S, Hartmann W, Wardelmann E, Heindel WL, Lenz G, Berdel WE, Wildgruber M. Multiparametric Magnetic Resonance Imaging for Immediate Target Hit Assessment of CD13-Targeted Tissue Factor tTF-NGR in Advanced Malignant Disease. Cancers (Basel) 2021; 13:cancers13235880. [PMID: 34884988 PMCID: PMC8657298 DOI: 10.3390/cancers13235880] [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: 10/18/2021] [Revised: 11/17/2021] [Accepted: 11/21/2021] [Indexed: 11/30/2022] Open
Abstract
Simple Summary Since the knowledge of tumor biology has advanced, a variety of targeted therapies has been developed. These do not immediately affect the tumor size, so optimized oncological imaging is needed. In this phase I study of patients with advanced malignant disease, a multiparametric imaging approach was used to assess changes in tumor perfusion after vessel-occluding therapy with the CD13 targeted truncated tissue factor with a C-terminal NGR-peptide. It comprises different sequences and the use of two different contrast media, ferucarbotran and gadobutrol. This multiparametric MRI protocol enables assessing the therapy effectiveness as early as five hours after therapy initiation. Abstract Early assessment of target hit in anti-cancer therapies is a major task in oncologic imaging. In this study, immediate target hit and effectiveness of CD13-targeted tissue factor tTF-NGR in patients with advanced malignant disease enrolled in a phase I trial was assessed using a multiparametric MRI protocol. Seventeen patients with advanced solid malignancies were enrolled in the trial and received tTF-NGR for at least one cycle of five daily infusions. Tumor target lesions were imaged with multiparametric MRI before therapy initiation, five hours after the first infusion and after five days. The imaging protocol comprised ADC, calculated from DWI, and DCE imaging and vascular volume fraction (VVF) assessment. DCE and VVF values decreased within 5 h after therapy initiation, indicating early target hit with a subsequent decrease in tumor perfusion due to selective tumor vessel occlusion and thrombosis induced by tTF-NGR. Simultaneously, ADC values increased at five hours after tTF-NGR administration. In four patients, treatment had to be stopped due to an increase in troponin T hs, with subsequent anticoagulation. In these patients, a reversed effect, with DCE and VVF values increasing and ADC values decreasing, was observed after anticoagulation. Changes in imaging parameters were independent of the mean vessel density determined by immunohistochemistry. By using a multiparametric imaging approach, changes in tumor perfusion after initiation of a tumor vessel occluding therapy can be evaluated as early as five hours after therapy initiation, enabling early assessment of target hit.
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Affiliation(s)
- Mirjam Gerwing
- Clinic of Radiology, University Hospital Muenster, D-48149 Muenster, Germany; (T.K.); (W.L.H.); (M.W.)
- Correspondence:
| | - Tobias Krähling
- Clinic of Radiology, University Hospital Muenster, D-48149 Muenster, Germany; (T.K.); (W.L.H.); (M.W.)
| | - Christoph Schliemann
- Department of Medicine A, Hematology, Hemostaseology, Oncology and Pulmonology, University Hospital Muenster, D-48149 Muenster, Germany; (C.S.); (S.H.); (C.S.); (A.F.B.); (G.L.); (W.E.B.)
| | - Saliha Harrach
- Department of Medicine A, Hematology, Hemostaseology, Oncology and Pulmonology, University Hospital Muenster, D-48149 Muenster, Germany; (C.S.); (S.H.); (C.S.); (A.F.B.); (G.L.); (W.E.B.)
| | - Christian Schwöppe
- Department of Medicine A, Hematology, Hemostaseology, Oncology and Pulmonology, University Hospital Muenster, D-48149 Muenster, Germany; (C.S.); (S.H.); (C.S.); (A.F.B.); (G.L.); (W.E.B.)
| | - Andrew F. Berdel
- Department of Medicine A, Hematology, Hemostaseology, Oncology and Pulmonology, University Hospital Muenster, D-48149 Muenster, Germany; (C.S.); (S.H.); (C.S.); (A.F.B.); (G.L.); (W.E.B.)
| | - Sebastian Klein
- Gerhard-Domagk-Institute for Pathology, University of Muenster, D-48149 Muenster, Germany; (S.K.); (W.H.); (E.W.)
| | - Wolfgang Hartmann
- Gerhard-Domagk-Institute for Pathology, University of Muenster, D-48149 Muenster, Germany; (S.K.); (W.H.); (E.W.)
| | - Eva Wardelmann
- Gerhard-Domagk-Institute for Pathology, University of Muenster, D-48149 Muenster, Germany; (S.K.); (W.H.); (E.W.)
| | - Walter L. Heindel
- Clinic of Radiology, University Hospital Muenster, D-48149 Muenster, Germany; (T.K.); (W.L.H.); (M.W.)
| | - Georg Lenz
- Department of Medicine A, Hematology, Hemostaseology, Oncology and Pulmonology, University Hospital Muenster, D-48149 Muenster, Germany; (C.S.); (S.H.); (C.S.); (A.F.B.); (G.L.); (W.E.B.)
| | - Wolfgang E. Berdel
- Department of Medicine A, Hematology, Hemostaseology, Oncology and Pulmonology, University Hospital Muenster, D-48149 Muenster, Germany; (C.S.); (S.H.); (C.S.); (A.F.B.); (G.L.); (W.E.B.)
| | - Moritz Wildgruber
- Clinic of Radiology, University Hospital Muenster, D-48149 Muenster, Germany; (T.K.); (W.L.H.); (M.W.)
- Department of Radiology, University Hospital, LMU Munich, D-81377 Munich, Germany
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Robinson SP, Boult JKR, Vasudev NS, Reynolds AR. Monitoring the Vascular Response and Resistance to Sunitinib in Renal Cell Carcinoma In Vivo with Susceptibility Contrast MRI. Cancer Res 2017; 77:4127-4134. [PMID: 28566330 PMCID: PMC6175052 DOI: 10.1158/0008-5472.can-17-0248] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Revised: 04/03/2017] [Accepted: 05/22/2017] [Indexed: 12/25/2022]
Abstract
Antiangiogenic therapy is efficacious in metastatic renal cell carcinoma (mRCC). However, the ability of antiangiogenic drugs to delay tumor progression and extend survival is limited, due to either innate or acquired drug resistance. Furthermore, there are currently no validated biomarkers that predict which mRCC patients will benefit from antiangiogenic therapy. Here, we exploit susceptibility contrast MRI (SC-MRI) using intravascular ultrasmall superparamagnetic iron oxide particles to quantify and evaluate tumor fractional blood volume (fBV) as a noninvasive imaging biomarker of response to the antiangiogenic drug sunitinib. We also interrogate the vascular phenotype of RCC xenografts exhibiting acquired resistance to sunitinib. SC-MRI of 786-0 xenografts prior to and 2 weeks after daily treatment with 40 mg/kg sunitinib revealed a 71% (P < 0.01) reduction in fBV in the absence of any change in tumor volume. This response was associated with significantly lower microvessel density (P < 0.01) and lower uptake of the perfusion marker Hoechst 33342 (P < 0.05). The average pretreatment tumor fBV was negatively correlated (R2 = 0.92, P < 0.0001) with sunitinib-induced changes in tumor fBV across the cohort. SC-MRI also revealed suppressed fBV in tumors that acquired resistance to sunitinib. In conclusion, SC-MRI enabled monitoring of the antiangiogenic response of 786-0 RCC xenografts to sunitinib, which revealed that pretreatment tumor fBV was found to be a predictive biomarker of subsequent reduction in tumor blood volume in response to sunitinib, and acquired resistance to sunitinib was not associated with a parallel increase in tumor blood volume. Cancer Res; 77(15); 4127-34. ©2017 AACR.
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Affiliation(s)
- Simon P Robinson
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy & Imaging, The Institute of Cancer Research, London, United Kingdom.
| | - Jessica K R Boult
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy & Imaging, The Institute of Cancer Research, London, United Kingdom
| | - Naveen S Vasudev
- Tumour Biology Team, The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Andrew R Reynolds
- Tumour Biology Team, The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, United Kingdom
- Early Clinical Development, Innovative Medicines and Early Development, AstraZeneca, Cambridge, United Kingdom
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Fredrickson J, Serkova NJ, Wyatt SK, Carano RAD, Pirzkall A, Rhee I, Rosen LS, Bessudo A, Weekes C, de Crespigny A. Clinical translation of ferumoxytol-based vessel size imaging (VSI): Feasibility in a phase I oncology clinical trial population. Magn Reson Med 2017; 77:814-825. [PMID: 26918893 PMCID: PMC5677523 DOI: 10.1002/mrm.26167] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Accepted: 01/26/2016] [Indexed: 12/18/2022]
Abstract
PURPOSE To assess the feasibility of acquiring vessel size imaging (VSI) metrics using ferumoxytol injections and stock pulse sequences in a multicenter Phase I trial of a novel therapy in patients with advanced metastatic disease. METHODS Scans were acquired before, immediately after, and 48 h after injection, at screening and after 2 weeks of treatment. ΔR2 , ΔR2*, vessel density (Q), and relative vascular volume fractions (VVF) were estimated in both normal tissue and tumor, and compared with model-derived theoretical and experimental estimates based on preclinical murine xenograft data. RESULTS R2 and R2* relaxation rates were still significantly elevated in tumors and liver 48 h after ferumoxytol injection; liver values returned to baseline by week 2. Q was relatively insensitive to changes in ΔR2*, indicating lack of dependence on contrast agent concentration. Variability in Q was higher among human tumors compared with xenografts and was mostly driven by ΔR2 . Relative VVFs were higher in human tumors compared with xenografts, while values in muscle were similar between species. CONCLUSION Clinical ferumoxytol-based VSI is feasible using standard MRI techniques in a multicenter study of patients with lesions outside of the brain. Ferumoxytol accumulation in the liver does not preclude measurement of VSI parameters in liver metastases. Magn Reson Med 77:814-825, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Jill Fredrickson
- Oncology Clinical Development, Genentech, Inc., South San Francisco, CA, USA
| | - Natalie J. Serkova
- Department of Anesthesiology, University of Colorado Cancer Center, Aurora, CO, USA
| | - Shelby K. Wyatt
- Department of Biomedical Imaging, Genentech, Inc., South San Francisco, CA, USA
| | | | - Andrea Pirzkall
- Oncology Clinical Development, Genentech, Inc., South San Francisco, CA, USA
| | - Ina Rhee
- Oncology Clinical Development, Genentech, Inc., South San Francisco, CA, USA
| | - Lee S. Rosen
- Department of Medicine, Division of Hematology and Oncology, UCLA, Santa Monica, CA, USA
| | - Alberto Bessudo
- San Diego Pacific Oncology Hematology Associates, Inc., Encinitas, CA, USA
| | - Colin Weekes
- Department of Medical Oncology, University of Colorado Cancer Center, Aurora, CO, USA
| | - Alex de Crespigny
- Oncology Clinical Development, Genentech, Inc., South San Francisco, CA, USA
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In vivo monitoring of angiogenesis during tendon repair: a novel MRI-based technique in a rat patellar tendon model. Knee Surg Sports Traumatol Arthrosc 2015; 23:2433-2439. [PMID: 24519623 DOI: 10.1007/s00167-014-2897-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2013] [Accepted: 02/03/2014] [Indexed: 10/25/2022]
Abstract
PURPOSE Recent in vivo studies were able to show the impairing effect of neoangiogenesis in degenerative tendon diseases. Clinical in vivo monitoring of angiogenesis in injured tendons therefore seems to be crucial for an accurate therapeutic approach. The aim of this study was to develop a novel magnetic resonance imaging (MRI)-based technique for observing angiogenesis during tendon healing in vivo. METHODS Tendinopathy was induced by an in situ freezing model of rat patellar tendon and monitored after 7, 14, and 28 days. Animals were randomly divided into an imaging and immunohistochemical group. MRI with a 'blood pool' contrast agent was used to determine neoangiogenesis during tendon healing. MRI was compared to histochemical staining and quantification of blood vessels in injured and native tendons. RESULTS MRI data revealed a peak in changes in the transverse relaxation rate (ΔR 2*), which is proportional to relative blood volume, 7 days after surgery and decrease until day 28. Histological microvessel density and vascular endothelial growth factor synthesis were also most evident at day 7 and decreased over time. CONCLUSIONS The current results are demonstrating a time-dependent correlation between microvessel density and ΔR 2*. Thus, MRI-based evaluation of angiogenesis in the tendon might be a new promising technique for in vivo monitoring of angiogenesis and therapy response in the future.
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Abstract
Nanoparticles are frequently suggested as diagnostic agents. However, except for iron oxide nanoparticles, diagnostic nanoparticles have been barely incorporated into clinical use so far. This is predominantly due to difficulties in achieving acceptable pharmacokinetic properties and reproducible particle uniformity as well as to concerns about toxicity, biodegradation, and elimination. Reasonable indications for the clinical utilization of nanoparticles should consider their biologic behavior. For example, many nanoparticles are taken up by macrophages and accumulate in macrophage-rich tissues. Thus, they can be used to provide contrast in liver, spleen, lymph nodes, and inflammatory lesions (eg, atherosclerotic plaques). Furthermore, cells can be efficiently labeled with nanoparticles, enabling the localization of implanted (stem) cells and tissue-engineered grafts as well as in vivo migration studies of cells. The potential of using nanoparticles for molecular imaging is compromised because their pharmacokinetic properties are difficult to control. Ideal targets for nanoparticles are localized on the endothelial luminal surface, whereas targeted nanoparticle delivery to extravascular structures is often limited and difficult to separate from an underlying enhanced permeability and retention (EPR) effect. The majority of clinically used nanoparticle-based drug delivery systems are based on the EPR effect, and, for their more personalized use, imaging markers can be incorporated to monitor biodistribution, target site accumulation, drug release, and treatment efficacy. In conclusion, although nanoparticles are not always the right choice for molecular imaging (because smaller or larger molecules might provide more specific information), there are other diagnostic and theranostic applications for which nanoparticles hold substantial clinical potential.
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Affiliation(s)
- Fabian Kiessling
- From the Department of Experimental Molecular Imaging, RWTH-Aachen University, Aachen, Germany (F.K., M.E.M., T.L.); and Molecular Pharmacology and Chemistry Program, Memorial Sloan-Kettering Cancer Center, New York, NY (J.G.)
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Emblem KE, Farrar CT, Gerstner ER, Batchelor TT, Borra RJH, Rosen BR, Sorensen AG, Jain RK. Vessel caliber--a potential MRI biomarker of tumour response in clinical trials. Nat Rev Clin Oncol 2014; 11:566-84. [PMID: 25113840 PMCID: PMC4445139 DOI: 10.1038/nrclinonc.2014.126] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Our understanding of the importance of blood vessels and angiogenesis in cancer has increased considerably over the past decades, and the assessment of tumour vessel calibre and structure has become increasingly important for in vivo monitoring of therapeutic response. The preferred method for in vivo imaging of most solid cancers is MRI, and the concept of vessel-calibre MRI has evolved since its initial inception in the early 1990s. Almost a quarter of a century later, unlike traditional contrast-enhanced MRI techniques, vessel-calibre MRI remains widely inaccessible to the general clinical community. The narrow availability of the technique is, in part, attributable to limited awareness and a lack of imaging standardization. Thus, the role of vessel-calibre MRI in early phase clinical trials remains to be determined. By contrast, regulatory approvals of antiangiogenic agents that are not directly cytotoxic have created an urgent need for clinical trials incorporating advanced imaging analyses, going beyond traditional assessments of tumour volume. To this end, we review the field of vessel-calibre MRI and summarize the emerging evidence supporting the use of this technique to monitor response to anticancer therapy. We also discuss the potential use of this biomarker assessment in clinical imaging trials and highlight relevant avenues for future research.
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Affiliation(s)
- Kyrre E Emblem
- The Intervention Centre, Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Christian T Farrar
- Department of Radiology and Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Elizabeth R Gerstner
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, 100 Blossom Street, Boston, MA 02114, USA
| | - Tracy T Batchelor
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, 100 Blossom Street, Boston, MA 02114, USA
| | - Ronald J H Borra
- Department of Radiology and Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Bruce R Rosen
- Department of Radiology and Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - A Gregory Sorensen
- Siemens Healthcare Health Services, 51 Valley Stream Parkway, Malvern, PA 19355, USA
| | - Rakesh K Jain
- Edwin L. Steele Laboratory of Tumor Biology, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, 100 Blossom Street, Boston, MA 02114, USA
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Vandeghinste B, Van Holen R, Vanhove C, De Vos F, Vandenberghe S, Staelens S. Use of a Ray-Based Reconstruction Algorithm to Accurately Quantify Preclinical MicroSPECT Images. Mol Imaging 2014. [DOI: 10.2310/7290.2014.00007] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Bert Vandeghinste
- From the Department of Electronics and Information Systems, Medical Image and Signal Processing (MEDISIP) Research Group, Ghent University-IBBT-IBiTech, Ghent, Belgium; Laboratory of Radiopharmacy, Ghent University, Ghent, Belgium; and Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium
| | - Roel Van Holen
- From the Department of Electronics and Information Systems, Medical Image and Signal Processing (MEDISIP) Research Group, Ghent University-IBBT-IBiTech, Ghent, Belgium; Laboratory of Radiopharmacy, Ghent University, Ghent, Belgium; and Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium
| | - Christian Vanhove
- From the Department of Electronics and Information Systems, Medical Image and Signal Processing (MEDISIP) Research Group, Ghent University-IBBT-IBiTech, Ghent, Belgium; Laboratory of Radiopharmacy, Ghent University, Ghent, Belgium; and Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium
| | - Filip De Vos
- From the Department of Electronics and Information Systems, Medical Image and Signal Processing (MEDISIP) Research Group, Ghent University-IBBT-IBiTech, Ghent, Belgium; Laboratory of Radiopharmacy, Ghent University, Ghent, Belgium; and Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium
| | - Stefaan Vandenberghe
- From the Department of Electronics and Information Systems, Medical Image and Signal Processing (MEDISIP) Research Group, Ghent University-IBBT-IBiTech, Ghent, Belgium; Laboratory of Radiopharmacy, Ghent University, Ghent, Belgium; and Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium
| | - Steven Staelens
- From the Department of Electronics and Information Systems, Medical Image and Signal Processing (MEDISIP) Research Group, Ghent University-IBBT-IBiTech, Ghent, Belgium; Laboratory of Radiopharmacy, Ghent University, Ghent, Belgium; and Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium
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Zhang X, Pagel MD, Baker AF, Gillies RJ. Reproducibility of magnetic resonance perfusion imaging. PLoS One 2014; 9:e89797. [PMID: 24587040 PMCID: PMC3934952 DOI: 10.1371/journal.pone.0089797] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2013] [Accepted: 01/24/2014] [Indexed: 11/18/2022] Open
Abstract
Dynamic MR biomarkers (T2*-weighted or susceptibility-based and T1-weighted or relaxivity-enhanced) have been applied to assess tumor perfusion and its response to therapies. A significant challenge in the development of reliable biomarkers is a rigorous assessment and optimization of reproducibility. The purpose of this study was to determine the measurement reproducibility of T1-weighted dynamic contrast-enhanced (DCE)-MRI and T2*-weighted dynamic susceptibility contrast (DSC)-MRI with two contrast agents (CA) of different molecular weight (MW): gadopentetate (Gd-DTPA, 0.5 kDa) and Gadomelitol (P792, 6.5 kDa). Each contrast agent was tested with eight mice that had subcutaneous MDA-MB-231 breast xenograft tumors. Each mouse was imaged with a combined DSC-DCE protocol three times within one week to achieve measures of reproducibility. DSC-MRI results were evaluated with a contrast to noise ratio (CNR) efficiency threshold. There was a clear signal drop (>95% probability threshold) in the DSC of normal tissue, while signal changes were minimal or non-existent (<95% probability threshold) in tumors. Mean within-subject coefficient of variation (wCV) of relative blood volume (rBV) in normal tissue was 11.78% for Gd-DTPA and 6.64% for P792. The intra-class correlation coefficient (ICC) of rBV in normal tissue was 0.940 for Gd-DTPA and 0.978 for P792. The inter-subject correlation coefficient was 0.092. Calculated Ktrans from DCE-MRI showed comparable reproducibility (mean wCV, 5.13% for Gd-DTPA, 8.06% for P792). ICC of Ktrans showed high intra-subject reproducibility (ICC = 0.999/0.995) and inter-subject heterogeneity (ICC = 0.774). Histograms of Ktrans distributions for three measurements had high degrees of overlap (sum of difference of the normalized histograms <0.01). These results represent homogeneous intra-subject measurement and heterogeneous inter-subject character of biological population, suggesting that perfusion MRI could be an imaging biomarker to monitor or predict response of disease.
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Affiliation(s)
- Xiaomeng Zhang
- Biomedical Engineering Graduate Interdisciplinary Program, University of Arizona, Tucson, Arizona, United States of America
- H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, United States of America
- * E-mail:
| | - Mark D. Pagel
- Biomedical Engineering Graduate Interdisciplinary Program, University of Arizona, Tucson, Arizona, United States of America
- Department of Chemistry and Biochemistry, University of Arizona, Tucson, Arizona, United States of America
- University of Arizona Cancer Center, University of Arizona, Tucson, Arizona, United States of America
| | - Amanda F. Baker
- University of Arizona Cancer Center, University of Arizona, Tucson, Arizona, United States of America
- Hematology/Oncology Section, College of Medicine, University of Arizona, Tucson, Arizona, United States of America
| | - Robert J. Gillies
- H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, United States of America
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Micro-CT imaging of tumor angiogenesis: quantitative measures describing micromorphology and vascularization. THE AMERICAN JOURNAL OF PATHOLOGY 2013; 184:431-41. [PMID: 24262753 DOI: 10.1016/j.ajpath.2013.10.014] [Citation(s) in RCA: 118] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2013] [Revised: 10/25/2013] [Accepted: 10/28/2013] [Indexed: 02/08/2023]
Abstract
Angiogenesis is a hallmark of cancer, and its noninvasive visualization and quantification are key factors for facilitating translational anticancer research. Using four tumor models characterized by different degrees of aggressiveness and angiogenesis, we show that the combination of functional in vivo and anatomical ex vivo X-ray micro-computed tomography (μCT) allows highly accurate quantification of relative blood volume (rBV) and highly detailed three-dimensional analysis of the vascular network in tumors. Depending on the tumor model, rBV values determined using in vivo μCT ranged from 2.6% to 6.0%, and corresponds well with the values assessed using IHC. Using ultra-high-resolution ex vivo μCT, blood vessels as small as 3.4 μm and vessel branches up to the seventh order could be visualized, enabling a highly detailed and quantitative analysis of the three-dimensional micromorphology of tumor vessels. Microvascular parameters such as vessel size and vessel branching correlated very well with tumor aggressiveness and angiogenesis. In rapidly growing and highly angiogenic A431 tumors, the majority of vessels were small and branched only once or twice, whereas in slowly growing A549 tumors, the vessels were much larger and branched four to seven times. Thus, we consider that combining highly accurate functional with highly detailed anatomical μCT is a useful tool for facilitating high-throughput, quantitative, and translational (anti-) angiogenesis and antiangiogenesis research.
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Persigehl T, Ring J, Bremer C, Heindel W, Holtmeier R, Stypmann J, Claesener M, Hermann S, Schäfers M, Zerbst C, Schliemann C, Mesters RM, Berdel WE, Schwöppe C. Non-invasive monitoring of tumor-vessel infarction by retargeted truncated tissue factor tTF-NGR using multi-modal imaging. Angiogenesis 2013; 17:235-46. [PMID: 24136410 DOI: 10.1007/s10456-013-9391-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2013] [Accepted: 09/23/2013] [Indexed: 10/26/2022]
Abstract
The fusion protein tTF-NGR consists of the extracellular domain of the thrombogenic human tissue factor (truncated tissue factor, tTF) and the peptide GNGRAHA (NGR), a ligand of the surface protein CD13 (aminopeptidase N), upregulated on endothelial cells of tumor vessels. tTF-NGR preferentially activates blood coagulation within tumor vasculature, resulting in tumor vessel infarction and subsequent tumor growth retardation/regression. The anti-vascular mechanism of the tTF-NGR therapy approach was verified by quantifying the reduced tumor blood-perfusion with contrast-enhanced ultrasound, the reduced relative tumor blood volume by ultrasmall superparamagnetic iron oxide-enhanced magnetic resonance imaging, and by in vivo-evaluation of hemorrhagic bleeding with fluorescent biomarkers (AngioSense(680)) in fluorescence reflectance imaging. The accumulation of tTF-NGR within the tumor was proven by visualizing the distribution of the iodine-123-labelled protein by single-photon emission computed tomography. Use of these multi-modal vascular and molecular imaging tools helped to assess the therapeutic effect even at real time and to detect non-responding tumors directly after the first tTF-NGR treatment. This emphasizes the importance of imaging within clinical studies with tTF-NGR. The imaging techniques as used here have applicability within a wider scope of therapeutic regimes interfering with tumor vasculature. Some even are useful to obtain predictive biosignals in personalized cancer treatment.
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Affiliation(s)
- Thorsten Persigehl
- Department of Clinical Radiology, University of Muenster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany
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12
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Persigehl T, Ring J, Budny T, Hahnenkamp A, Stoeppeler S, Schwartz LH, Spiegel HU, Heindel W, Remmele S, Bremer C. Vessel Size Imaging (VSI) by Robust Magnetic Resonance (MR) Relaxometry: MR-VSI of Solid Tumors in Correlation with Immunohistology and Intravital Microscopy. Mol Imaging 2013. [DOI: 10.2310/7290.2013.00059] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Affiliation(s)
- Thorsten Persigehl
- From the Department of Radiology, University Hospital Cologne, Cologne, Germany; Department of Clinical Radiology, University Hospital Muenster, Muenster, Germany; Department of Radiology, Columbia University Medical Center, New York, NY; Department of General Surgery, Surgical Research, University Hospital Muenster, Muenster, Germany; Philips Research Europe, Hamburg, Germany; and Department of Radiology, St. Franziskus Hospital, Muenster, Germany
| | - Janine Ring
- From the Department of Radiology, University Hospital Cologne, Cologne, Germany; Department of Clinical Radiology, University Hospital Muenster, Muenster, Germany; Department of Radiology, Columbia University Medical Center, New York, NY; Department of General Surgery, Surgical Research, University Hospital Muenster, Muenster, Germany; Philips Research Europe, Hamburg, Germany; and Department of Radiology, St. Franziskus Hospital, Muenster, Germany
| | - Tymoteusz Budny
- From the Department of Radiology, University Hospital Cologne, Cologne, Germany; Department of Clinical Radiology, University Hospital Muenster, Muenster, Germany; Department of Radiology, Columbia University Medical Center, New York, NY; Department of General Surgery, Surgical Research, University Hospital Muenster, Muenster, Germany; Philips Research Europe, Hamburg, Germany; and Department of Radiology, St. Franziskus Hospital, Muenster, Germany
| | - Anke Hahnenkamp
- From the Department of Radiology, University Hospital Cologne, Cologne, Germany; Department of Clinical Radiology, University Hospital Muenster, Muenster, Germany; Department of Radiology, Columbia University Medical Center, New York, NY; Department of General Surgery, Surgical Research, University Hospital Muenster, Muenster, Germany; Philips Research Europe, Hamburg, Germany; and Department of Radiology, St. Franziskus Hospital, Muenster, Germany
| | - Sandra Stoeppeler
- From the Department of Radiology, University Hospital Cologne, Cologne, Germany; Department of Clinical Radiology, University Hospital Muenster, Muenster, Germany; Department of Radiology, Columbia University Medical Center, New York, NY; Department of General Surgery, Surgical Research, University Hospital Muenster, Muenster, Germany; Philips Research Europe, Hamburg, Germany; and Department of Radiology, St. Franziskus Hospital, Muenster, Germany
| | - Lawrence H. Schwartz
- From the Department of Radiology, University Hospital Cologne, Cologne, Germany; Department of Clinical Radiology, University Hospital Muenster, Muenster, Germany; Department of Radiology, Columbia University Medical Center, New York, NY; Department of General Surgery, Surgical Research, University Hospital Muenster, Muenster, Germany; Philips Research Europe, Hamburg, Germany; and Department of Radiology, St. Franziskus Hospital, Muenster, Germany
| | - Hans-Ullrich Spiegel
- From the Department of Radiology, University Hospital Cologne, Cologne, Germany; Department of Clinical Radiology, University Hospital Muenster, Muenster, Germany; Department of Radiology, Columbia University Medical Center, New York, NY; Department of General Surgery, Surgical Research, University Hospital Muenster, Muenster, Germany; Philips Research Europe, Hamburg, Germany; and Department of Radiology, St. Franziskus Hospital, Muenster, Germany
| | - Walter Heindel
- From the Department of Radiology, University Hospital Cologne, Cologne, Germany; Department of Clinical Radiology, University Hospital Muenster, Muenster, Germany; Department of Radiology, Columbia University Medical Center, New York, NY; Department of General Surgery, Surgical Research, University Hospital Muenster, Muenster, Germany; Philips Research Europe, Hamburg, Germany; and Department of Radiology, St. Franziskus Hospital, Muenster, Germany
| | - Stefanie Remmele
- From the Department of Radiology, University Hospital Cologne, Cologne, Germany; Department of Clinical Radiology, University Hospital Muenster, Muenster, Germany; Department of Radiology, Columbia University Medical Center, New York, NY; Department of General Surgery, Surgical Research, University Hospital Muenster, Muenster, Germany; Philips Research Europe, Hamburg, Germany; and Department of Radiology, St. Franziskus Hospital, Muenster, Germany
| | - Christoph Bremer
- From the Department of Radiology, University Hospital Cologne, Cologne, Germany; Department of Clinical Radiology, University Hospital Muenster, Muenster, Germany; Department of Radiology, Columbia University Medical Center, New York, NY; Department of General Surgery, Surgical Research, University Hospital Muenster, Muenster, Germany; Philips Research Europe, Hamburg, Germany; and Department of Radiology, St. Franziskus Hospital, Muenster, Germany
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13
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Kang M, Jiang B, Xu B, Lu W, Guo Q, Xie Q, Zhang B, Dong X, Chen D, Wu Y. Delta like ligand 4 induces impaired chemo-drug delivery and enhanced chemoresistance in pancreatic cancer. Cancer Lett 2012. [PMID: 23200678 DOI: 10.1016/j.canlet.2012.11.015] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
The stubborn chemoresistance of pancreatic ductal adenocarcinoma (PDA) is simultaneously influenced by tumor parenchymal and stromal factors, and the ctritical role of Notch ligand Delta-like 4 (DLL4) in the regulation of tumor malignancies has been observed. DLL4 positive expression ratio between duct cells from clinical tumor and adjacent tissues was statistically significant, and the overactivation of DLL4/Notch pathway enhanced the phenotype of EMT and cancer stem cell, even can induce multi-chemoresistance in vitro. Notably, the accompanied defective angiogenesis directly induced inefficient chemo-drug delivery in vivo. Collectively, overexpressed DLL4 on neoplastic cells can enhance chemoresistance through angiogenesis-dependent/independent mechanisms in PDA.
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MESH Headings
- Adaptor Proteins, Signal Transducing
- Animals
- Antibiotics, Antineoplastic/pharmacology
- Calcium-Binding Proteins
- Carcinoma, Pancreatic Ductal/drug therapy
- Carcinoma, Pancreatic Ductal/metabolism
- Carcinoma, Pancreatic Ductal/pathology
- Cell Line, Tumor
- Doxorubicin/pharmacology
- Drug Delivery Systems
- Drug Resistance, Neoplasm
- Female
- Humans
- Immunohistochemistry
- Intercellular Signaling Peptides and Proteins/biosynthesis
- Intercellular Signaling Peptides and Proteins/genetics
- Intercellular Signaling Peptides and Proteins/metabolism
- Mice
- Mice, Inbred BALB C
- Mice, SCID
- Pancreatic Neoplasms/drug therapy
- Pancreatic Neoplasms/metabolism
- Pancreatic Neoplasms/pathology
- Receptor, Notch1/biosynthesis
- Receptor, Notch2/biosynthesis
- Xenograft Model Antitumor Assays
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Affiliation(s)
- Muxing Kang
- Department of Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Remmele S, Ring J, Sénégas J, Heindel W, Mesters RM, Bremer C, Persigehl T. Concurrent MR blood volume and vessel size estimation in tumors by robust and simultaneous ΔR2 and ΔR2* quantification. Magn Reson Med 2011; 66:144-53. [PMID: 21305604 DOI: 10.1002/mrm.22810] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2010] [Revised: 11/30/2010] [Accepted: 12/10/2010] [Indexed: 11/09/2022]
Abstract
This work presents a novel method for concurrent estimation of the fractional blood volume and the mean vessel size of tumors based on a multi-gradient-echo-multi-spin-echo sequence and the injection of a super-paramagnetic blood-pool agent. The approach further comprises a post-processing technique for simultaneous estimation of changes in the transverse relaxation rates R(2) and R(2)*, which is robust against global B(0) and B(1) field inhomogeneities and slice imperfections. The accuracy of the simultaneous ΔR(2) and ΔR(2)* quantification approach is evaluated in a phantom. The simultaneous blood volume and vessel size estimates, obtained with MR, compare well to the immunohistological findings in a preclinical experiment (HT1080 cells, implanted in nude mice). Clinical translation is achieved in a patient with a pleomorphic sarcoma in the left pubic bone. The latter demonstrates the robustness of the technique against changes in the contrast agent concentration in blood during washout.
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