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West G, Haslinger S, Bamber J, Lowe M, Huthwaite P, Harris E. Simulation of ultrasound backscatter coefficient measurement using the finite element method. ULTRASONICS 2024; 143:107394. [PMID: 39053241 DOI: 10.1016/j.ultras.2024.107394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 06/26/2024] [Accepted: 06/27/2024] [Indexed: 07/27/2024]
Abstract
Ultrasound backscatter coefficient (BSC) measurement is a method for assessing tissue morphology that can inform on pathologies such as cancer. The BSC measurement is, however, limited by the accuracy with which the investigator can normalise their results to account for frequency dependent effects of diffraction and attenuation whilst performing such measurements. We propose a simulation-based approach to investigate the potential sources of error in assessing the BSC. Presented is a tool for the 2D Finite Element (FE) simulation mimicking a BSC measurement using the planar reflector substitution method in reduced dimensionality. The results of this are verified against new derivations of BSC equations also in reduced dimensionality. These new derivations allow computation of BSC estimates based on the scattering from a 2D scattering area, a line reference reflector and a theoretical value for the BSC of a 2D distribution of scatterers. This 2D model was designed to generate lightweight simulations that allow rapid investigation of the factors associated with BSC measurement, allowing the investigator to generate large data sets in relatively short time scales. Under the conditions for an incoherent scattering medium, the simulations produced BSC estimates within 6% of the theoretical value calculated from the simulation domain, a result reproduced across a range of source f-numbers. This value of error compares well to both estimated errors from other simulation based approaches and to physical experiments. The mathematical and simulation models described here provide a theoretical and experimental framework for continued investigation into factors affecting the accuracy of BSC measurements.
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Affiliation(s)
- George West
- Joint Department of Physics, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, SM2 5NG, United Kingdom; Department of Mechanical Engineering, Imperial College London, London, SW7 2BX, United Kingdom
| | - Stewart Haslinger
- Department of Mathematics, The University of Liverpool, Liverpool, L69 3BX, United Kingdom
| | - Jeffrey Bamber
- Joint Department of Physics, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, SM2 5NG, United Kingdom
| | - Michael Lowe
- Department of Mechanical Engineering, Imperial College London, London, SW7 2BX, United Kingdom
| | - Peter Huthwaite
- Department of Mechanical Engineering, Imperial College London, London, SW7 2BX, United Kingdom
| | - Emma Harris
- Joint Department of Physics, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, SM2 5NG, United Kingdom.
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2
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Moldovan C, Onaciu A, Toma V, Munteanu RA, Gulei D, Moldovan AI, Stiufiuc GF, Feder RI, Cenariu D, Iuga CA, Stiufiuc RI. Current trends in luminescence-based assessment of apoptosis. RSC Adv 2023; 13:31641-31658. [PMID: 37908656 PMCID: PMC10613953 DOI: 10.1039/d3ra05809c] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 10/18/2023] [Indexed: 11/02/2023] Open
Abstract
Apoptosis, the most extensively studied type of cell death, is known to play a crucial role in numerous processes such as elimination of unwanted cells or cellular debris, growth, control of the immune system, and prevention of malignancies. Defective regulation of apoptosis can trigger various diseases and disorders including cancer, neurological conditions, autoimmune diseases and developmental disorders. Knowing the nuances of the cell death type induced by a compound can help decipher which therapy is more effective for specific diseases. The detection of apoptotic cells using classic methods has brought significant contribution over the years, but innovative methods are quickly emerging and allow more in-depth understanding of the mechanisms, aside from a simple quantification. Due to increased sensitivity, time efficiency, pathway specificity and negligible cytotoxicity, these innovative approaches have great potential for both in vitro and in vivo studies. This review aims to shed light on the importance of developing and using novel nanoscale methods as an alternative to the classic apoptosis detection techniques.
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Affiliation(s)
- Cristian Moldovan
- Medfuture-Research Center for Advanced Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy Marinescu 23/Louis Pasteur Street No. 4-6 400337 Cluj-Napoca Romania +40-0726-34-02-78
- Department of Pharmaceutical Physics & Biophysics, Faculty of Pharmacy, "Iuliu Hatieganu" University of Medicine and Pharmacy Louis Pasteur Street No. 4-6 400349 Cluj-Napoca Romania
| | - Anca Onaciu
- Medfuture-Research Center for Advanced Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy Marinescu 23/Louis Pasteur Street No. 4-6 400337 Cluj-Napoca Romania +40-0726-34-02-78
| | - Valentin Toma
- Medfuture-Research Center for Advanced Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy Marinescu 23/Louis Pasteur Street No. 4-6 400337 Cluj-Napoca Romania +40-0726-34-02-78
| | - Raluca A Munteanu
- Medfuture-Research Center for Advanced Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy Marinescu 23/Louis Pasteur Street No. 4-6 400337 Cluj-Napoca Romania +40-0726-34-02-78
| | - Diana Gulei
- Medfuture-Research Center for Advanced Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy Marinescu 23/Louis Pasteur Street No. 4-6 400337 Cluj-Napoca Romania +40-0726-34-02-78
| | - Alin I Moldovan
- Medfuture-Research Center for Advanced Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy Marinescu 23/Louis Pasteur Street No. 4-6 400337 Cluj-Napoca Romania +40-0726-34-02-78
| | - Gabriela F Stiufiuc
- Faculty of Physics, "Babes Bolyai" University Mihail Kogalniceanu Street No. 1 400084 Cluj-Napoca Romania
| | - Richard I Feder
- Medfuture-Research Center for Advanced Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy Marinescu 23/Louis Pasteur Street No. 4-6 400337 Cluj-Napoca Romania +40-0726-34-02-78
| | - Diana Cenariu
- Medfuture-Research Center for Advanced Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy Marinescu 23/Louis Pasteur Street No. 4-6 400337 Cluj-Napoca Romania +40-0726-34-02-78
| | - Cristina A Iuga
- Medfuture-Research Center for Advanced Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy Marinescu 23/Louis Pasteur Street No. 4-6 400337 Cluj-Napoca Romania +40-0726-34-02-78
- Pharmaceutical Analysis, Faculty of Pharmacy, "Iuliu Hatieganu" University of Medicine and Pharmacy Louis Pasteur Street 6 Cluj-Napoca 400349 Romania
| | - Rares I Stiufiuc
- Medfuture-Research Center for Advanced Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy Marinescu 23/Louis Pasteur Street No. 4-6 400337 Cluj-Napoca Romania +40-0726-34-02-78
- Department of Pharmaceutical Physics & Biophysics, Faculty of Pharmacy, "Iuliu Hatieganu" University of Medicine and Pharmacy Louis Pasteur Street No. 4-6 400349 Cluj-Napoca Romania
- TRANSCEND Research Center, Regional Institute of Oncology 700483 Iasi Romania
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Khairalseed M, Hoyt K. High-Resolution Ultrasound Characterization of Local Scattering in Cancer Tissue. ULTRASOUND IN MEDICINE & BIOLOGY 2023; 49:951-960. [PMID: 36681609 PMCID: PMC9974749 DOI: 10.1016/j.ultrasmedbio.2022.11.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 11/21/2022] [Accepted: 11/23/2022] [Indexed: 06/17/2023]
Abstract
Ultrasound (US) has afforded an approach to tissue characterization for more than a decade. The challenge is to reveal hidden patterns in the US data that describe tissue function and pathology that cannot be seen in conventional US images. Our group has developed a high-resolution analysis technique for tissue characterization termed H-scan US, an imaging method used to interpret the relative size of acoustic scatterers. In the present study, the objective was to compare local H-scan US image intensity with registered histologic measurements made directly at the cellular level. Human breast cancer cells (MDA-MB 231, American Type Culture Collection, Manassas, VA, USA) were orthotopically implanted into female mice (N = 5). Tumors were allowed to grow for approximately 4 wk before the study started. In vivo imaging of tumor tissue was performed using a US system (Vantage 256, Verasonics Inc., Kirkland, WA, USA) equipped with a broadband capacitive micromachined ultrasonic linear array transducer (Kolo Medical, San Jose, CA, USA). A 15-MHz center frequency was used for plane wave imaging with five angles for spatial compounding. H-scan US image reconstruction involved use of parallel convolution filters to measure the relative strength of backscattered US signals. Color codes were applied to filter outputs to form the final H-scan US image display. For histologic processing, US imaging cross-sections were carefully marked on the tumor surface, and tumors were excised and sliced along the same plane. By use of optical microscopy, whole tumor tissue sections were scanned and digitized after nuclear staining. US images were interpolated to have the same number of pixels as the histology images and then spatially aligned. Each nucleus from the histologic sections was automatically segmented using custom MATLAB software (The MathWorks Inc., Natick, MA, USA). Nuclear size and spacing from the histology images were then compared with local H-scan US image features. Overall, local H-scan US image intensity exhibited a significant correlation with both cancer cell nuclear size (R2 > 0.27, p < 0.001) and the inverse relationship with nuclear spacing (R2 > 0.17, p < 0.001).
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Affiliation(s)
- Mawia Khairalseed
- Department of Bioengineering, University of Texas at Dallas, Richardson, Texas, USA
| | - Kenneth Hoyt
- Department of Bioengineering, University of Texas at Dallas, Richardson, Texas, USA.
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Bhardwaj D, Dasgupta A, DiCenzo D, Brade S, Fatima K, Quiaoit K, Trudeau M, Gandhi S, Eisen A, Wright F, Look-Hong N, Curpen B, Sannachi L, Czarnota GJ. Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer. Cancers (Basel) 2022; 14:cancers14051247. [PMID: 35267555 PMCID: PMC8909335 DOI: 10.3390/cancers14051247] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 02/23/2022] [Accepted: 02/24/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND This study was conducted to explore the use of quantitative ultrasound (QUS) in predicting recurrence for patients with locally advanced breast cancer (LABC) early during neoadjuvant chemotherapy (NAC). METHODS Eighty-three patients with LABC were scanned with 7 MHz ultrasound before starting NAC (week 0) and during treatment (week 4). Spectral parametric maps were generated corresponding to tumor volume. Twenty-four textural features (QUS-Tex1) were determined from parametric maps acquired using grey-level co-occurrence matrices (GLCM) for each patient, which were further processed to generate 64 texture derivatives (QUS-Tex1-Tex2), leading to a total of 95 features from each time point. Analysis was carried out on week 4 data and compared to baseline (week 0) data. ∆Week 4 data was obtained from the difference in QUS parameters, texture features (QUS-Tex1), and texture derivatives (QUS-Tex1-Tex2) of week 4 data and week 0 data. Patients were divided into two groups: recurrence and non-recurrence. Machine learning algorithms using k-nearest neighbor (k-NN) and support vector machines (SVMs) were used to generate radiomic models. Internal validation was undertaken using leave-one patient out cross-validation method. RESULTS With a median follow up of 69 months (range 7-118 months), 28 patients had disease recurrence. The k-NN classifier was the best performing algorithm at week 4 with sensitivity, specificity, accuracy, and area under curve (AUC) of 87%, 75%, 81%, and 0.83, respectively. The inclusion of texture derivatives (QUS-Tex1-Tex2) in week 4 QUS data analysis led to the improvement of the classifier performances. The AUC increased from 0.70 (0.59 to 0.79, 95% confidence interval) without texture derivatives to 0.83 (0.73 to 0.92) with texture derivatives. The most relevant features separating the two groups were higher-order texture derivatives obtained from scatterer diameter and acoustic concentration-related parametric images. CONCLUSIONS This is the first study highlighting the utility of QUS radiomics in the prediction of recurrence during the treatment of LABC. It reflects that the ongoing treatment-related changes can predict clinical outcomes with higher accuracy as compared to pretreatment features alone.
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Affiliation(s)
- Divya Bhardwaj
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada; (D.B.); (A.D.); (D.D.); (S.B.); (K.F.); (K.Q.); (L.S.)
| | - Archya Dasgupta
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada; (D.B.); (A.D.); (D.D.); (S.B.); (K.F.); (K.Q.); (L.S.)
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M4N 3M5, Canada
| | - Daniel DiCenzo
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada; (D.B.); (A.D.); (D.D.); (S.B.); (K.F.); (K.Q.); (L.S.)
| | - Stephen Brade
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada; (D.B.); (A.D.); (D.D.); (S.B.); (K.F.); (K.Q.); (L.S.)
| | - Kashuf Fatima
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada; (D.B.); (A.D.); (D.D.); (S.B.); (K.F.); (K.Q.); (L.S.)
| | - Karina Quiaoit
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada; (D.B.); (A.D.); (D.D.); (S.B.); (K.F.); (K.Q.); (L.S.)
| | - Maureen Trudeau
- Department of Medical Oncology, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada; (M.T.); (S.G.); (A.E.)
- Department of Medicine, University of Toronto, Toronto, ON M4N 3M5, Canada
| | - Sonal Gandhi
- Department of Medical Oncology, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada; (M.T.); (S.G.); (A.E.)
- Department of Medicine, University of Toronto, Toronto, ON M4N 3M5, Canada
| | - Andrea Eisen
- Department of Medical Oncology, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada; (M.T.); (S.G.); (A.E.)
- Department of Medicine, University of Toronto, Toronto, ON M4N 3M5, Canada
| | - Frances Wright
- Department of Surgical Oncology, Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada; (F.W.); (N.L.-H.)
- Department of Surgery, University of Toronto, Toronto, ON M4N 3M5, Canada
| | - Nicole Look-Hong
- Department of Surgical Oncology, Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada; (F.W.); (N.L.-H.)
- Department of Surgery, University of Toronto, Toronto, ON M4N 3M5, Canada
| | - Belinda Curpen
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada;
- Department of Medical Imaging, University of Toronto, Toronto, ON M4N 3M5, Canada
| | - Lakshmanan Sannachi
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada; (D.B.); (A.D.); (D.D.); (S.B.); (K.F.); (K.Q.); (L.S.)
| | - Gregory J. Czarnota
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada; (D.B.); (A.D.); (D.D.); (S.B.); (K.F.); (K.Q.); (L.S.)
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M4N 3M5, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M4N 3M5, Canada
- Correspondence: ; Tel.: +416-480-6128
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Sharma D, Osapoetra LO, Faltyn M, Do NNA, Giles A, Stanisz M, Sannachi L, Czarnota GJ. Quantitative ultrasound characterization of therapy response in prostate cancer in vivo. Am J Transl Res 2021; 13:4437-4449. [PMID: 34150025 PMCID: PMC8205668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 02/17/2021] [Indexed: 06/12/2023]
Abstract
Quantitative ultrasound (QUS) is a non-invasive imaging modality that permits the detection of tumor response following various cancer therapies. Based on ultrasound signal scattering from the biological system, scatterer size, and concentration of microscopic scatterers, QUS enables the rapid characterization of tumor cell death. In this study, tumor response to ultrasound-stimulated microbubbles (USMB) and hyperthermia (HT) in tumor-bearing mice, with prostate cancer xenografts (PC3), was examined using QUS. Treatment conditions included 1% (v/v) Definity microbubbles stimulated at ultrasound pressures (0, 246, and 570 kPa) and HT treatment (0, 10, 40, and 50 minutes). Three ultrasound backscatter parameters, mid-band fit (MBF), 0-MHz spectral intercept (SI), and spectral slope (SS) were estimated prior to, and 24 hours after treatment. Additionally, histological assessment of tumor cell death and tissue microstructural changes was used to complement the results obtained from ultrasound data. Results demonstrated a significant increase in QUS parameters (MBF and SI) followed combined USMB and HT treatment (P<0.05). In contrast, the backscatter parameters from the control (untreated) group, and USMB only group showed minimal changes (P>0.05). Furthermore, histological data demonstrated increased cell death and prominent changes in cellular and tissue structure, nucleus size, and subcellular constituent orientation followed combined treatments. The findings suggested that QUS parameters derived from the ultrasound backscattered power spectrum may be used to detect HT treatment effects in prostate cancer tumors in vivo.
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Affiliation(s)
- Deepa Sharma
- Imaging Research and Physical Sciences, Sunnybrook Health Sciences CentreToronto, Ontario, Canada
- Department of Radiation Oncology, Sunnybrook Health Sciences CentreToronto, Ontario, Canada
- Department of Medical Biophysics and Radiation Oncology, University of TorontoToronto, Ontario, Canada
| | - Laurentius Oscar Osapoetra
- Imaging Research and Physical Sciences, Sunnybrook Health Sciences CentreToronto, Ontario, Canada
- Department of Radiation Oncology, Sunnybrook Health Sciences CentreToronto, Ontario, Canada
- Department of Medical Biophysics and Radiation Oncology, University of TorontoToronto, Ontario, Canada
| | - Mateusz Faltyn
- Imaging Research and Physical Sciences, Sunnybrook Health Sciences CentreToronto, Ontario, Canada
| | - Natalie Ngoc Anh Do
- Imaging Research and Physical Sciences, Sunnybrook Health Sciences CentreToronto, Ontario, Canada
| | - Anoja Giles
- Imaging Research and Physical Sciences, Sunnybrook Health Sciences CentreToronto, Ontario, Canada
| | - Martin Stanisz
- Imaging Research and Physical Sciences, Sunnybrook Health Sciences CentreToronto, Ontario, Canada
| | - Lakshmanan Sannachi
- Imaging Research and Physical Sciences, Sunnybrook Health Sciences CentreToronto, Ontario, Canada
- Department of Radiation Oncology, Sunnybrook Health Sciences CentreToronto, Ontario, Canada
- Department of Medical Biophysics and Radiation Oncology, University of TorontoToronto, Ontario, Canada
| | - Gregory J Czarnota
- Imaging Research and Physical Sciences, Sunnybrook Health Sciences CentreToronto, Ontario, Canada
- Department of Radiation Oncology, Sunnybrook Health Sciences CentreToronto, Ontario, Canada
- Department of Medical Biophysics and Radiation Oncology, University of TorontoToronto, Ontario, Canada
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Gnyawali SC, Sinha M, El Masry MS, Wulff B, Ghatak S, Soto-Gonzalez F, Wilgus TA, Roy S, Sen CK. High resolution ultrasound imaging for repeated measure of wound tissue morphometry, biomechanics and hemodynamics under fetal, adult and diabetic conditions. PLoS One 2020; 15:e0241831. [PMID: 33227015 PMCID: PMC7682876 DOI: 10.1371/journal.pone.0241831] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 10/21/2020] [Indexed: 02/07/2023] Open
Abstract
Non-invasive, repeated interrogation of the same wound is necessary to understand the tissue repair continuum. In this work, we sought to test the significance of non-invasive high-frequency high-resolution ultrasound technology for such interrogation. High-frequency high-resolution ultrasound imaging was employed to investigate wound healing under fetal and adult conditions. Quantitative tissue cellularity and elastic strain was obtained for visualization of unresolved inflammation using Vevo strain software. Hemodynamic properties of the blood flow in the artery supplying the wound-site were studied using color Doppler flow imaging. Non-invasive monitoring of fetal and adult wound healing provided unprecedented biomechanical and functional insight. Fetal wounds showed highly accelerated closure with transient perturbation of wound tissue cellularity. Fetal hemodynamics was unique in that sharp fall in arterial pulse pressure (APP) which was rapidly restored within 48h post-wounding. In adults, APP transiently increased post-wounding before returning to the pre-wounding levels by d10 post-wounding. The pattern of change in the elasticity of wound-edge tissue of diabetics was strikingly different. Severe strain acquired during the early inflammatory phase persisted with a slower recovery of elasticity compared to that of the non-diabetic group. Wound bed of adult diabetic mice (db/db) showed persistent hypercellularity compared to littermate controls (db/+) indicative of prolonged inflammation. Normal skin strain of db/+ and db/db were asynchronous. In db/db, severe strain acquired during the early inflammatory phase persisted with a slower recovery of elasticity compared to that of non-diabetics. This study showcases a versatile clinically relevant imaging platform suitable for real-time analyses of functional wound healing.
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Affiliation(s)
- Surya C. Gnyawali
- Department of Surgery, Davis Heart and Lung Research Institute, Center for Regenerative Medicine & Cell-Based Therapies, The Ohio State University Wexner Medical Center, Columbus, OH, United States of America
| | - Mithun Sinha
- Department of Surgery, Davis Heart and Lung Research Institute, Center for Regenerative Medicine & Cell-Based Therapies, The Ohio State University Wexner Medical Center, Columbus, OH, United States of America
- Department of Surgery, IUH Comprehensive Wound Center, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Mohamed S. El Masry
- Department of Surgery, Davis Heart and Lung Research Institute, Center for Regenerative Medicine & Cell-Based Therapies, The Ohio State University Wexner Medical Center, Columbus, OH, United States of America
- Department of Surgery, IUH Comprehensive Wound Center, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN, United States of America
- Department of Plastic and Reconstructive Surgery, Zagazig University, Zagazig, Egypt
| | - Brian Wulff
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, United States of America
| | - Subhadip Ghatak
- Department of Surgery, Davis Heart and Lung Research Institute, Center for Regenerative Medicine & Cell-Based Therapies, The Ohio State University Wexner Medical Center, Columbus, OH, United States of America
- Department of Surgery, IUH Comprehensive Wound Center, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Fidel Soto-Gonzalez
- Department of Surgery, Davis Heart and Lung Research Institute, Center for Regenerative Medicine & Cell-Based Therapies, The Ohio State University Wexner Medical Center, Columbus, OH, United States of America
| | - Traci A. Wilgus
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, United States of America
| | - Sashwati Roy
- Department of Surgery, Davis Heart and Lung Research Institute, Center for Regenerative Medicine & Cell-Based Therapies, The Ohio State University Wexner Medical Center, Columbus, OH, United States of America
- Department of Surgery, IUH Comprehensive Wound Center, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Chandan K. Sen
- Department of Surgery, Davis Heart and Lung Research Institute, Center for Regenerative Medicine & Cell-Based Therapies, The Ohio State University Wexner Medical Center, Columbus, OH, United States of America
- Department of Surgery, IUH Comprehensive Wound Center, Indiana Center for Regenerative Medicine and Engineering, Indiana University School of Medicine, Indianapolis, IN, United States of America
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Eason AB, Sin SH, Shah M, Yuan H, Phillips DJ, Droste M, Shamshiev A, Dittmer DP. DLX1008 (brolucizumab), a single-chain anti-VEGF-A antibody fragment with low picomolar affinity, leads to tumor involution in an in vivo model of Kaposi Sarcoma. PLoS One 2020; 15:e0233116. [PMID: 32407363 PMCID: PMC7224538 DOI: 10.1371/journal.pone.0233116] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 04/28/2020] [Indexed: 12/17/2022] Open
Abstract
Kaposi Sarcoma (KS) is among the most angiogenic cancers in humans and an AIDS-defining condition. KS-associated herpesvirus (KSHV) is necessary for KS development, as is vascular endothelial growth factor (VEGF-A). DLX1008 is a novel anti-VEGF-A antibody single-chain variable fragment (scFv) with low picomolar affinity for VEGF-A. In vivo imaging techniques were used to establish the efficacy of DLX1008 and to establish the mechanism of action; this included non-invasive imaging by ultrasound and optical fluorescence, verified by post-mortem histochemistry. The results showed that DLX1008 was efficacious in a KS mouse model. The NSG mouse xenografts suffered massive internal necrosis or involution, consistent with a lack of blood supply. We found that imaging by ultrasound was superior to external caliper measurements in the validation of the angiogenesis inhibitor DLX1008. Further development of DLX1008 against VEGF-dependent sarcomas is warranted.
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Affiliation(s)
- Anthony B. Eason
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, United States of America
- Department of Microbiology and Immunology, The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, United States of America
| | - Sang-Hoon Sin
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, United States of America
- Department of Microbiology and Immunology, The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, United States of America
| | - Mohsin Shah
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, United States of America
- Department of Microbiology and Immunology, The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, United States of America
| | - Hong Yuan
- Biomedical Research Imaging Center, The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, United States of America
| | | | | | | | - Dirk P. Dittmer
- Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, United States of America
- Department of Microbiology and Immunology, The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, United States of America
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Franceschini E, Balasse L, Roffino S, Guillet B. Probing the Cellular Size Distribution in Cell Samples Undergoing Cell Death. ULTRASOUND IN MEDICINE & BIOLOGY 2019; 45:1787-1798. [PMID: 31023498 DOI: 10.1016/j.ultrasmedbio.2019.01.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 01/06/2019] [Accepted: 01/07/2019] [Indexed: 06/09/2023]
Abstract
A polydisperse scattering model adapted for concentrated medium, namely the polydisperse structure factor model, was examined to explain the backscatter coefficients (BSCs) measured from packed cell samples undergoing cell death. Cell samples were scanned using high-frequency ultrasound in the 10-42 MHz bandwidth. A parameter estimation procedure was proposed to estimate the volume fraction and the relative impedance contrast that could explain the changes in BSC pattern by considering the actual change in cellular size distribution. Quantitative ultrasound parameters were estimated and related to the percentage of dead cells determined by flow cytometry. The standard deviation of scatterer size distribution extracted from the polydisperse structure factor model and the spectral intercept were found to be strongly correlated to the percentage of dead cells (r2 = 0.79 and r2 = 0.72, respectively). This study contributes to the understanding of ultrasonic scattering from cells undergoing cell death toward the monitoring of cancer therapy.
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Affiliation(s)
| | - Laure Balasse
- Aix-Marseille Université, INSERM, INRA, C2 VN, Marseille, France
| | - Sandrine Roffino
- Aix-Marseille Université, CNRS, ISM, Marseille, France; Université Côte d'Azur, Nice, France
| | - Benjamin Guillet
- Aix-Marseille Université, INSERM, INRA, C2 VN, Marseille, France
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9
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Haghighat N, Abdolmaleki P, Behmanesh M, Satari M. Stable morphological-physiological and neural protein expression changes in rat bone marrow mesenchymal stem cells treated with electromagnetic field and nitric oxide. Bioelectromagnetics 2017; 38:592-601. [DOI: 10.1002/bem.22072] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2016] [Accepted: 06/29/2017] [Indexed: 12/19/2022]
Affiliation(s)
- Nazanin Haghighat
- Faculty of Biological Science; Department of Biophysics; Tarbiat Modares University; Tehran Iran
| | - Parviz Abdolmaleki
- Faculty of Biological Science; Department of Biophysics; Tarbiat Modares University; Tehran Iran
| | - Mehrdad Behmanesh
- Faculty of Biological Science; Department of Genetics; Tarbiat Modares University; Tehran Iran
| | - Mohammad Satari
- Faculty of Biological Science; Department of Biophysics; Tarbiat Modares University; Tehran Iran
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