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Campbell JL, SoRelle ED, Ilovich O, Liba O, James ML, Qiu Z, Perez V, Chan CT, de la Zerda A, Zavaleta C. Multimodal assessment of SERS nanoparticle biodistribution post ingestion reveals new potential for clinical translation of Raman imaging. Biomaterials 2017; 135:42-52. [PMID: 28486147 PMCID: PMC6252087 DOI: 10.1016/j.biomaterials.2017.04.045] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 04/22/2017] [Accepted: 04/24/2017] [Indexed: 01/29/2023]
Abstract
Despite extensive research and development, new nano-based diagnostic contrast agents have faced major barriers in gaining regulatory approval due to their potential systemic toxicity and prolonged retention in vital organs. Here we use five independent biodistribution techniques to demonstrate that oral ingestion of one such agent, gold-silica Raman nanoparticles, results in complete clearance with no systemic toxicity in living mice. The oral delivery mimics topical administration to the oral cavity and gastrointestinal (GI) tract as an alternative to intravenous injection. Biodistribution and clearance profiles of orally (OR) vs. intravenously (IV) administered Raman nanoparticles were assayed over the course of 48 h. Mice given either an IV or oral dose of Raman nanoparticles radiolabeled with approximately 100 μCi (3.7MBq) of 64Cu were imaged with dynamic microPET immediately post nanoparticle administration. Static microPET images were also acquired at 2 h, 5 h, 24 h and 48 h. Mice were sacrificed post imaging and various analyses were performed on the excised organs to determine nanoparticle localization. The results from microPET imaging, gamma counting, Raman imaging, ICP-MS, and hyperspectral imaging of tissue sections all correlated to reveal no evidence of systemic distribution of Raman nanoparticles after oral administration and complete clearance from the GI tract within 24 h. Paired with the unique signals and multiplexing potential of Raman nanoparticles, this approach holds great promise for realizing targeted imaging of tumors and dysplastic tissues within the oral cavity and GI-tract. Moreover, these results suggest a viable path for the first translation of high-sensitivity Raman contrast imaging into clinical practice.
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Affiliation(s)
- Jos L Campbell
- Molecular Imaging Program at Stanford University, 318 Campus Dr., Stanford, CA 94305, United States; RMIT University, 124 Latrobe St, Melbourne, Victoria 3000, Australia; Department of Radiology, Stanford University, 1201 Welch Rd., Stanford, CA 94305, United States
| | - Elliott D SoRelle
- Molecular Imaging Program at Stanford University, 318 Campus Dr., Stanford, CA 94305, United States; Biophysics Program, Stanford University, 291 Campus Dr., Stanford, CA 94305, United States; Department of Structural Biology, Stanford University, 299 Campus Dr., Stanford, CA 94305, United States
| | - Ohad Ilovich
- Molecular Imaging Program at Stanford University, 318 Campus Dr., Stanford, CA 94305, United States; Department of Radiology, Stanford University, 1201 Welch Rd., Stanford, CA 94305, United States; inviCRO, LLC, Imaging Services and Software, 27 Drydock Ave., Boston, MA 02210, United States
| | - Orly Liba
- Molecular Imaging Program at Stanford University, 318 Campus Dr., Stanford, CA 94305, United States; Department of Electrical Engineering, Stanford University, 350 Serra Mall, Stanford, CA 94305, United States
| | - Michelle L James
- Molecular Imaging Program at Stanford University, 318 Campus Dr., Stanford, CA 94305, United States; Department of Radiology, Stanford University, 1201 Welch Rd., Stanford, CA 94305, United States
| | - Zhen Qiu
- Molecular Imaging Program at Stanford University, 318 Campus Dr., Stanford, CA 94305, United States; Department of Radiology, Stanford University, 1201 Welch Rd., Stanford, CA 94305, United States; Department of Pediatrics, 300 Pasteur Dr. H310, Stanford, CA 94305, United States
| | - Valerie Perez
- Molecular Imaging Program at Stanford University, 318 Campus Dr., Stanford, CA 94305, United States; Department of Radiology, Stanford University, 1201 Welch Rd., Stanford, CA 94305, United States; Department of Chemical Engineering, Stanford University, 443 Via Ortega, Stanford, CA 94305, United States
| | - Carmel T Chan
- Molecular Imaging Program at Stanford University, 318 Campus Dr., Stanford, CA 94305, United States; Department of Radiology, Stanford University, 1201 Welch Rd., Stanford, CA 94305, United States
| | - Adam de la Zerda
- Molecular Imaging Program at Stanford University, 318 Campus Dr., Stanford, CA 94305, United States; Biophysics Program, Stanford University, 291 Campus Dr., Stanford, CA 94305, United States; Department of Structural Biology, Stanford University, 299 Campus Dr., Stanford, CA 94305, United States; Department of Electrical Engineering, Stanford University, 350 Serra Mall, Stanford, CA 94305, United States
| | - Cristina Zavaleta
- Molecular Imaging Program at Stanford University, 318 Campus Dr., Stanford, CA 94305, United States; Department of Radiology, Stanford University, 1201 Welch Rd., Stanford, CA 94305, United States.
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Navas-Moreno M, Mehrpouyan M, Chernenko T, Candas D, Fan M, Li JJ, Yan M, Chan JW. Nanoparticles for live cell microscopy: A surface-enhanced Raman scattering perspective. Sci Rep 2017; 7:4471. [PMID: 28667313 PMCID: PMC5493633 DOI: 10.1038/s41598-017-04066-0] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Accepted: 05/11/2017] [Indexed: 11/09/2022] Open
Abstract
Surface enhanced Raman scattering (SERS) nanoparticles are an attractive alternative to fluorescent probes for biological labeling because of their photostability and multiplexing capabilities. However, nanoparticle size, shape, and surface properties are known to affect nanoparticle-cell interactions. Other issues such as the formation of a protein corona and antibody multivalency interfere with the labeling properties of nanoparticle-antibody conjugates. Hence, it is important to consider these aspects in order to validate such conjugates for live cell imaging applications. Using SERS nanoparticles that target HER2 and CD44 in breast cancer cells, we demonstrate labeling of fixed cells with high specificity that correlates well with fluorescent labels. However, when labeling live cells to monitor surface biomarker expression and dynamics, the nanoparticles are rapidly uptaken by the cells and become compartmentalized into different cellular regions. This behavior is in stark contrast to that of fluorescent antibody conjugates. This study highlights the impact of nanoparticle internalization and trafficking on the ability to use SERS nanoparticle-antibody conjugates to monitor cell dynamics.
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Affiliation(s)
- Maria Navas-Moreno
- University of California-Davis, Center for Biophotonics, Sacramento, 95817, USA
| | | | | | - Demet Candas
- University of California-Davis, Dept. of Radiation Oncology, Sacramento, 95817, USA
| | - Ming Fan
- University of California-Davis, Dept. of Radiation Oncology, Sacramento, 95817, USA
| | - Jian Jian Li
- University of California-Davis, Dept. of Radiation Oncology, Sacramento, 95817, USA
| | - Ming Yan
- BD Biosciences, San Jose, 95131, USA
| | - James W Chan
- University of California-Davis, Center for Biophotonics, Sacramento, 95817, USA.
- University of California-Davis, Dept. of Pathology and Laboratory Medicine, Sacramento, 95817, USA.
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Xu X, Wang Y, Xiang J, Liu JTC, Tichauer KM. Rinsing paired-agent model (RPAM) to quantify cell-surface receptor concentrations in topical staining applications of thick tissues. Phys Med Biol 2017; 62:5098-5113. [PMID: 28548970 DOI: 10.1088/1361-6560/aa6cf1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Conventional molecular assessment of tissue through histology, if adapted to fresh thicker samples, has the potential to enhance cancer detection in surgical margins and monitoring of 3D cell culture molecular environments. However, in thicker samples, substantial background staining is common despite repeated rinsing, which can significantly reduce image contrast. Recently, 'paired-agent' methods-which employ co-administration of a control (untargeted) imaging agent-have been applied to thick-sample staining applications to account for background staining. To date, these methods have included (1) a simple ratiometric method that is relatively insensitive to noise in the data but has accuracy that is dependent on the staining protocol and the characteristics of the sample; and (2) a complex paired-agent kinetic modeling method that is more accurate but is more noise-sensitive and requires a precise serial rinsing protocol. Here, a new simplified mathematical model-the rinsing paired-agent model (RPAM)-is derived and tested that offers a good balance between the previous models, is adaptable to arbitrary rinsing-imaging protocols, and does not require calibration of the imaging system. RPAM is evaluated against previous models and is validated by comparison to estimated concentrations of targeted biomarkers on the surface of 3D cell culture and tumor xenograft models. This work supports the use of RPAM as a preferable model to quantitatively analyze targeted biomarker concentrations in topically stained thick tissues, as it was found to match the accuracy of the complex paired-agent kinetic model while retaining the low noise-sensitivity characteristics of the ratiometric method.
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Affiliation(s)
- Xiaochun Xu
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, United States of America
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55
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Darrigues E, Dantuluri V, Nima ZA, Vang-Dings KB, Griffin RJ, Biris AR, Ghosh A, Biris AS. Raman spectroscopy using plasmonic and carbon-based nanoparticles for cancer detection, diagnosis, and treatment guidance. Part 2: Treatment. Drug Metab Rev 2017; 49:253-283. [DOI: 10.1080/03602532.2017.1307387] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Emilie Darrigues
- Center for Integrative Nanotechnology Sciences, University of Arkansas at Little Rock, Little Rock, AR, USA
| | - Vijayalakshmi Dantuluri
- Center for Integrative Nanotechnology Sciences, University of Arkansas at Little Rock, Little Rock, AR, USA
| | - Zeid A. Nima
- Center for Integrative Nanotechnology Sciences, University of Arkansas at Little Rock, Little Rock, AR, USA
| | - Kieng Bao Vang-Dings
- Center for Integrative Nanotechnology Sciences, University of Arkansas at Little Rock, Little Rock, AR, USA
| | - Robert J. Griffin
- Arkansas Nanomedicine Center, Department of Radiation Oncology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Alexandru R. Biris
- National Institute for Research and Development of Isotopic and Molecular Technologies, Cluj-Napoca, Romania
| | - Anindya Ghosh
- Department of Chemistry, University of Arkansas at Little Rock, Little Rock, AR, USA
| | - Alexandru S. Biris
- Center for Integrative Nanotechnology Sciences, University of Arkansas at Little Rock, Little Rock, AR, USA
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56
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Darrigues E, Nima ZA, Majeed W, Vang-Dings KB, Dantuluri V, Biris AR, Zharov VP, Griffin RJ, Biris AS. Raman spectroscopy using plasmonic and carbon-based nanoparticles for cancer detection, diagnosis, and treatment guidance.Part 1: Diagnosis. Drug Metab Rev 2017; 49:212-252. [DOI: 10.1080/03602532.2017.1302465] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Emilie Darrigues
- Center for Integrative Nanotechnology Sciences, University of Arkansas at Little Rock, Little Rock, AR, USA
| | - Zeid A. Nima
- Center for Integrative Nanotechnology Sciences, University of Arkansas at Little Rock, Little Rock, AR, USA
| | - Waqar Majeed
- Center for Integrative Nanotechnology Sciences, University of Arkansas at Little Rock, Little Rock, AR, USA
| | - Kieng Bao Vang-Dings
- Center for Integrative Nanotechnology Sciences, University of Arkansas at Little Rock, Little Rock, AR, USA
| | - Vijayalakshmi Dantuluri
- Center for Integrative Nanotechnology Sciences, University of Arkansas at Little Rock, Little Rock, AR, USA
| | - Alexandru R. Biris
- National Institute for Research and Development of Isotopic and Molecular Technologies
| | - Vladimir P. Zharov
- Arkansas Nanomedicine Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Robert J. Griffin
- Arkansas Nanomedicine Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Radiation Oncology, Arkansas Nanomedicine Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Alexandru S. Biris
- Center for Integrative Nanotechnology Sciences, University of Arkansas at Little Rock, Little Rock, AR, USA
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Wang YW, Reder NP, Kang S, Glaser AK, Yang Q, Wall MA, Javid SH, Dintzis SM, Liu JTC. Raman-Encoded Molecular Imaging with Topically Applied SERS Nanoparticles for Intraoperative Guidance of Lumpectomy. Cancer Res 2017; 77:4506-4516. [PMID: 28615226 DOI: 10.1158/0008-5472.can-17-0709] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Revised: 04/28/2017] [Accepted: 06/08/2017] [Indexed: 12/30/2022]
Abstract
Intraoperative identification of carcinoma at lumpectomy margins would enable reduced re-excision rates, which are currently as high as 20% to 50%. Although imaging of disease-associated biomarkers can identify malignancies with high specificity, multiplexed imaging of such biomarkers is necessary to detect molecularly heterogeneous carcinomas with high sensitivity. We have developed a Raman-encoded molecular imaging (REMI) technique in which targeted nanoparticles are topically applied on excised tissues to enable rapid visualization of a multiplexed panel of cell surface biomarkers at surgical margin surfaces. A first-ever clinical study was performed in which 57 fresh specimens were imaged with REMI to simultaneously quantify the expression of four biomarkers HER2, ER, EGFR, and CD44. Combined detection of these biomarkers enabled REMI to achieve 89.3% sensitivity and 92.1% specificity for the detection of breast carcinoma. These results highlight the sensitivity and specificity of REMI to detect biomarkers in freshly resected tissue, which has the potential to reduce the rate of re-excision procedures in cancer patients. Cancer Res; 77(16); 4506-16. ©2017 AACR.
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Affiliation(s)
- Yu Winston Wang
- Department of Mechanical Engineering, University of Washington, Seattle, Washington.
| | - Nicholas P Reder
- Department of Mechanical Engineering, University of Washington, Seattle, Washington.,Department of Pathology, University of Washington School of Medicine, Seattle, Washington
| | - Soyoung Kang
- Department of Mechanical Engineering, University of Washington, Seattle, Washington
| | - Adam K Glaser
- Department of Mechanical Engineering, University of Washington, Seattle, Washington
| | - Qian Yang
- Department of Mechanical Engineering, University of Washington, Seattle, Washington.,Department of Pharmacy, Chengdu Medical College, Chengdu, Sichuan, China
| | - Matthew A Wall
- Department of Mechanical Engineering, University of Washington, Seattle, Washington
| | - Sara H Javid
- Department of Surgery, University of Washington School of Medicine, Seattle, Washington
| | - Suzanne M Dintzis
- Department of Pathology, University of Washington School of Medicine, Seattle, Washington
| | - Jonathan T C Liu
- Department of Mechanical Engineering, University of Washington, Seattle, Washington.
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58
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Jamieson LE, Asiala SM, Gracie K, Faulds K, Graham D. Bioanalytical Measurements Enabled by Surface-Enhanced Raman Scattering (SERS) Probes. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2017; 10:415-437. [PMID: 28301754 DOI: 10.1146/annurev-anchem-071015-041557] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Since its discovery in 1974, surface-enhanced Raman scattering (SERS) has gained momentum as an important tool in analytical chemistry. SERS is used widely for analysis of biological samples, ranging from in vitro cell culture models, to ex vivo tissue and blood samples, and direct in vivo application. New insights have been gained into biochemistry, with an emphasis on biomolecule detection, from small molecules such as glucose and amino acids to larger biomolecules such as DNA, proteins, and lipids. These measurements have increased our understanding of biological systems, and significantly, they have improved diagnostic capabilities. SERS probes display unique advantages in their detection sensitivity and multiplexing capability. We highlight key considerations that are required when performing bioanalytical SERS measurements, including sample preparation, probe selection, instrumental configuration, and data analysis. Some of the key bioanalytical measurements enabled by SERS probes with application to in vitro, ex vivo, and in vivo biological environments are discussed.
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Affiliation(s)
- Lauren E Jamieson
- Centre for Molecular Nanometrology, WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, G1 1RD, United Kingdom;
| | - Steven M Asiala
- Centre for Molecular Nanometrology, WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, G1 1RD, United Kingdom;
| | - Kirsten Gracie
- Centre for Molecular Nanometrology, WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, G1 1RD, United Kingdom;
| | - Karen Faulds
- Centre for Molecular Nanometrology, WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, G1 1RD, United Kingdom;
| | - Duncan Graham
- Centre for Molecular Nanometrology, WestCHEM, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow, G1 1RD, United Kingdom;
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59
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Wang Z, Zong S, Wu L, Zhu D, Cui Y. SERS-Activated Platforms for Immunoassay: Probes, Encoding Methods, and Applications. Chem Rev 2017; 117:7910-7963. [DOI: 10.1021/acs.chemrev.7b00027] [Citation(s) in RCA: 368] [Impact Index Per Article: 52.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Zhuyuan Wang
- Advanced Photonics Center, Southeast University, Nanjing 210096, Jiangsu, China
| | - Shenfei Zong
- Advanced Photonics Center, Southeast University, Nanjing 210096, Jiangsu, China
| | - Lei Wu
- Advanced Photonics Center, Southeast University, Nanjing 210096, Jiangsu, China
| | - Dan Zhu
- Advanced Photonics Center, Southeast University, Nanjing 210096, Jiangsu, China
| | - Yiping Cui
- Advanced Photonics Center, Southeast University, Nanjing 210096, Jiangsu, China
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60
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Simultaneous Detection of EGFR and VEGF in Colorectal Cancer using Fluorescence-Raman Endoscopy. Sci Rep 2017; 7:1035. [PMID: 28432289 PMCID: PMC5430917 DOI: 10.1038/s41598-017-01020-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Accepted: 03/24/2017] [Indexed: 12/14/2022] Open
Abstract
Fluorescence endomicroscopy provides quick access to molecular targets, while Raman spectroscopy allows the detection of multiple molecular targets. Using a simultaneous fluorescence-Raman endoscopic system (FRES), we herein demonstrate its potential in cancer diagnosis in an orthotopically induced colorectal cancer (CRC) xenograft model. In the model, epidermal growth factor receptor (EGFR) and vascular endothelial growth factor (VEGF) were targeted with antibody-conjugated fluorescence and surface-enhanced Raman scattering (F-SERS) dots. FRES demonstrated fast signal detection and multiplex targeting ability using fluorescence and Raman signals to detect the F-SERS dots. In addition, FRES showed a multiplex targeting ability even on a subcentimeter-sized CRC after spraying with a dose of 50 µg F-SERS dots. In conclusion, molecular characteristics of tumor cells (EGFR in cancer cell membranes) and tumor microenvironments (VEGF in the extracellular matrix) could be simultaneously investigated when performing a colonoscopy.
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61
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Tsoulos TV, Han L, Weir J, Xin HL, Fabris L. A closer look at the physical and optical properties of gold nanostars: an experimental and computational study. NANOSCALE 2017; 9:3766-3773. [PMID: 28267160 DOI: 10.1039/c6nr09091e] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
A combined experimental and computational study was carried out to design a semi-empirical method to determine the volume, surface area, and extinction coefficients of gold nanostars. The values obtained were confirmed by reconstructing the nanostar 3D topography through high-tilt TEM tomography and introducing the finite elements in COMSOL Multiphysics through which we have also calculated the morphology-dependent extinction coefficient. Doing so, we have, for the first time, modeled the heat losses of a real, experimentally synthesized nanostar, and found the plasmon resonances to be in excellent agreement with those obtained experimentally. We believe that our approach could substantially improve the applicability of this remarkable nanomaterial.
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Affiliation(s)
- T V Tsoulos
- Department of Materials Science and Engineering, Rutgers University, 607 Taylor Road, Piscataway, NJ 08854, USA.
| | - L Han
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - J Weir
- Department of Materials Science and Engineering, Rutgers University, 607 Taylor Road, Piscataway, NJ 08854, USA.
| | - H L Xin
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY 11973, USA
| | - L Fabris
- Department of Materials Science and Engineering, Rutgers University, 607 Taylor Road, Piscataway, NJ 08854, USA.
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62
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Li R, Liu B, Gao J. The application of nanoparticles in diagnosis and theranostics of gastric cancer. Cancer Lett 2016; 386:123-130. [PMID: 27845158 DOI: 10.1016/j.canlet.2016.10.032] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 10/12/2016] [Accepted: 10/22/2016] [Indexed: 02/07/2023]
Abstract
Gastric cancer is the fourth most common cancer and the second leading cause of cancer related death worldwide. For the diagnosis of gastric cancer, apart from regular systemic imaging, the locoregional imaging is also of great importance. Moreover, there are still other ways for the detecting of gastric cancer, including the early detection of gastric cancer by endoscopy, the detection of gastric-cancer related biomarkers and the detection of circulating tumor cells (CTCs) of gastric cancer. However, conventional diagnostic methods are usually lack of specificity and sensitivity. Nanoparticles provide many benefits in the diagnosis of gastric cancer. Besides, nanoparticles are capable of integrating the functions of diagnosis and treatment together (theranostics). In this paper, we reviewed the applications of nanoparticles in diagnosis and theranostics of gastric cancer in the above mentioned aspects.
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Affiliation(s)
- Rutian Li
- The Comprehensive Cancer Center of Drum-Tower Hospital, Medical School of Nanjing University & Clinical Cancer Institute of Nanjing University, Nanjing, PR China; Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, PR China
| | - Baorui Liu
- The Comprehensive Cancer Center of Drum-Tower Hospital, Medical School of Nanjing University & Clinical Cancer Institute of Nanjing University, Nanjing, PR China.
| | - Jiahui Gao
- The Comprehensive Cancer Center of Drum-Tower Hospital, Medical School of Nanjing University & Clinical Cancer Institute of Nanjing University, Nanjing, PR China; Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, PR China
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63
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Suganya S. AA, Kochurani KJ, Nair MG, Louis JM, Sankaran S, Rajagopal R, Kumar KS, Abraham P, P. G. B, Sebastian P, Somananthan T, Maliekal TT. TM1-IR680 peptide for assessment of surgical margin and lymph node metastasis in murine orthotopic model of oral cancer. Sci Rep 2016; 6:36726. [PMID: 27827443 PMCID: PMC5101486 DOI: 10.1038/srep36726] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Accepted: 10/20/2016] [Indexed: 11/08/2022] Open
Abstract
Treatment outcome after surgical removal in oral carcinoma is poor due to inadequate methodologies available for marking surgical margins. Even though some methodologies for intraoperative margin assessment are under clinical and preclinical trials for other solid tumours, a promising modality for oral cancer surgery is not developed. Fluorescent-based optical imaging using Near Infrared (NIR) dyes tagged to tumour specific target will be an optimal tool for this purpose. One such target, Gastrin Releasing Peptide Receptor (GRPR) was selected for the study, and its binding peptide, TM1-IR680, was tested for its efficacy for surgical margin prediction in murine orthotopic model of oral cancer, derived from primary samples. Here, for the first time in a preclinical analysis, we show that the size and margin of oral cancer can be predicted, as revealed by 3D-imaging. Interestingly, the peptide was sensitive enough to detect lymph nodes that harboured dispersed tumour cells before colonization, which was impossible to identify by conventional histopathology. We recommend the use of TM1-NIR dyes alone or in combination with other technologies to improve the clinical outcome of oral cancer surgery.
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Affiliation(s)
- Annie A. Suganya S.
- Cancer Research Program, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | - K. J. Kochurani
- Cancer Research Program, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | - Madhumathy G. Nair
- Cancer Research Program, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | - Jiss Maria Louis
- Cancer Research Program, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | - Santhosh Sankaran
- Animal Research Facility, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | - R. Rajagopal
- Animal Research Facility, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | - K. Santhosh Kumar
- Chemical Biology Group, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | - Parvin Abraham
- Chemical Biology Group, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
| | - Balagopal P. G.
- Surgical Oncology, Regional Cancer Centre, Thiruvananthapuram, Kerala, 695011, India
| | - Paul Sebastian
- Surgical Oncology, Regional Cancer Centre, Thiruvananthapuram, Kerala, 695011, India
| | - Thara Somananthan
- Division of Pathology, Regional Cancer Centre, Thiruvananthapuram, Kerala, 695011, India
| | - Tessy Thomas Maliekal
- Cancer Research Program, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, 695014, India
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64
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Wang YW, Doerksen JD, Kang S, Walsh D, Yang Q, Hong D, Liu JTC. Multiplexed Molecular Imaging of Fresh Tissue Surfaces Enabled by Convection-Enhanced Topical Staining with SERS-Coded Nanoparticles. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2016; 12:5612-5621. [PMID: 27571395 PMCID: PMC5462459 DOI: 10.1002/smll.201601829] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Revised: 07/14/2016] [Indexed: 05/19/2023]
Abstract
There is a need for intraoperative imaging technologies to guide breast-conserving surgeries and to reduce the high rates of re-excision for patients in which residual tumor is found at the surgical margins during postoperative pathology analyses. Feasibility studies have shown that utilizing topically applied surface-enhanced Raman scattering (SERS) nanoparticles (NPs), in conjunction with the ratiometric imaging of targeted versus untargeted NPs, enables the rapid visualization of multiple cell-surface biomarkers of cancer that are overexpressed at the surfaces of freshly excised breast tissues. In order to reliably and rapidly perform multiplexed Raman-encoded molecular imaging of large numbers of biomarkers (with five or more NP flavors), an enhanced staining method has been developed in which tissue surfaces are cyclically dipped into an NP-staining solution and subjected to high-frequency mechanical vibration. This dipping and mechanical vibration (DMV) method promotes the convection of the SERS NPs at fresh tissue surfaces, which accelerates their binding to their respective biomarker targets. By utilizing a custom-developed device for automated DMV staining, this study demonstrates the ability to simultaneously image four cell-surface biomarkers of cancer at the surfaces of fresh human breast tissues with a mixture of five flavors of SERS NPs (four targeted and one untargeted control) topically applied for 5 min and imaged at a spatial resolution of 0.5 mm and a raster-scanned imaging rate of >5 cm2 min-1 .
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Affiliation(s)
- Yu W Wang
- Department of Mechanical Engineering, University of Washington, Seattle, WA, 98195, USA.
| | - Josh D Doerksen
- Department of Mechanical Engineering, University of Washington, Seattle, WA, 98195, USA
| | - Soyoung Kang
- Department of Mechanical Engineering, University of Washington, Seattle, WA, 98195, USA
| | - Daniel Walsh
- Department of Mechanical Engineering, University of Washington, Seattle, WA, 98195, USA
| | - Qian Yang
- Department of Mechanical Engineering, University of Washington, Seattle, WA, 98195, USA
- Department of Pharmacy, Chengdu Medical College, Chengdu, Sichuan, 615000, China
| | - Daniel Hong
- Department of Mechanical Engineering, University of Washington, Seattle, WA, 98195, USA
| | - Jonathan T C Liu
- Department of Mechanical Engineering, University of Washington, Seattle, WA, 98195, USA.
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Kang S, Wang Y, Reder NP, Liu JTC. Multiplexed Molecular Imaging of Biomarker-Targeted SERS Nanoparticles on Fresh Tissue Specimens with Channel-Compressed Spectrometry. PLoS One 2016; 11:e0163473. [PMID: 27685991 PMCID: PMC5042405 DOI: 10.1371/journal.pone.0163473] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Accepted: 09/10/2016] [Indexed: 01/11/2023] Open
Abstract
Biomarker-targeted surface-enhanced Raman scattering (SERS) nanoparticles (NPs) have been explored as a viable option for targeting and imaging multiple cell-surface protein biomarkers of cancer. While it has been demonstrated that this Raman-encoded molecular imaging (REMI) technology may potentially be used to guide tumor-resection procedures, the REMI strategy would benefit from further improvements in imaging speed. Previous implementations of REMI have utilized 1024 spectral channels (camera pixels) in a commercial spectroscopic CCD to detect the spectral signals from multiplexed SERS NPs, a strategy that enables accurate demultiplexing of the relative concentration of each NP "flavor" within a mixture. Here, we investigate the ability to significantly reduce the number of spectral-collection channels while maintaining accurate imaging and demultiplexing of up to five SERS NP flavors, a strategy that offers the potential for improved imaging speed and/or detection sensitivity in future systems. This strategy was optimized by analyzing the linearity of five multiplexed flavors of SERS NPs topically applied on tissues. The accuracy of this binning approach was then validated by staining tumor xenografts and human breast tumor specimens with a mixture of five NP flavors (four targeted NPs and one untargeted NP) and performing ratiometric imaging of specific vs. nonspecific NP accumulation. We demonstrate that with channel-compressed spectrometry using as few as 16 channels, it is possible to perform REMI with five NP flavors, with < 20% error, at low concentrations (< 10 pM) that are relevant for clinical applications.
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Affiliation(s)
- Soyoung Kang
- Department of Mechanical Engineering, University of Washington, Seattle, WA, United States of America
| | - Yu Wang
- Department of Mechanical Engineering, University of Washington, Seattle, WA, United States of America
| | - Nicholas P. Reder
- Department of Pathology, University of Washington Medical Center, Seattle, WA, United States of America
| | - Jonathan T. C. Liu
- Department of Mechanical Engineering, University of Washington, Seattle, WA, United States of America
- * E-mail:
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66
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Sharma N, Takeshita N, Ho KY. Raman Spectroscopy for the Endoscopic Diagnosis of Esophageal, Gastric, and Colonic Diseases. Clin Endosc 2016; 49:404-407. [PMID: 27653440 PMCID: PMC5066404 DOI: 10.5946/ce.2016.100] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 08/23/2016] [Accepted: 08/24/2016] [Indexed: 12/14/2022] Open
Abstract
Globally white-light endoscopy with biopsy sampling is the gold standard diagnostic modality for esophageal, gastric, and colonic pathologies. However, there is overwhelming evidence to highlight the deficiencies of an approach based predominantly on eyeball visualization. Biopsy sampling is also problematic due in part to excessive sampling and hence attendant cost. Various innovations are currently taking place in the endoscopic domain to aid operators in diagnosis forming. These include narrow band imaging which aims to enhance the surface anatomy and vasculature, and confocal laser endomicroscopy which provides real time histological information. However, both of these tools are limited by the skill of the operator and the extensive learning curve associated with their use. There is a gap therefore for a new form of technology that relies solely on an objective measure of disease and reduces the need for biopsy sampling. Raman spectroscopy (RS) is a potential platform that aims to satisfy these criteria. It enables a fingerprint capture of tissue in relation to the protein, DNA, and lipid content. This focused review highlights the strong potential for the use of RS during endoscopic gastroenterological examination.
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Affiliation(s)
- Neel Sharma
- Division of Gastroenterology and Hepatology, National University Health System, Singapore
| | - Nobuyoshi Takeshita
- Division of Gastroenterology and Hepatology, National University Health System, Singapore
| | - Khek Yu Ho
- Division of Gastroenterology and Hepatology, National University Health System, Singapore
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Wang Y, Kang S, Doerksen JD, Glaser AK, Liu JT. Surgical Guidance via Multiplexed Molecular Imaging of Fresh Tissues Labeled with SERS-Coded Nanoparticles. IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS : A PUBLICATION OF THE IEEE LASERS AND ELECTRO-OPTICS SOCIETY 2016; 22:6802911. [PMID: 27524875 PMCID: PMC4978138 DOI: 10.1109/jstqe.2015.2507358] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
The imaging of dysregulated cell-surface receptors (or biomarkers) is a potential means of identifying the presence of cancer with high sensitivity and specificity. However, due to heterogeneities in the expression of protein biomarkers in tumors, molecular imaging technologies should ideally be capable of visualizing a multiplexed panel of cancer biomarkers. Recently, surface-enhanced Raman-scattering (SERS) nanoparticles (NPs) have attracted wide interest due to their potential for sensitive and multiplexed biomarker detection. In this review, we focus on the most recent advances in tumor imaging using SERS-coded NPs. A brief introduction of the structure and optical properties of SERS NPs is provided, followed by a detailed discussion of key imaging issues such as the administration of NPs in tissue (topical versus systemic), the optical configuration and imaging approach of Raman imaging systems, spectral demultiplexing methods for quantifying NP concentrations, and the disambiguation of specific vs. nonspecific sources of contrast through ratiometric imaging of targeted and untargeted (control) NP pairs. Finally, future challenges and directions are briefly outlined.
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68
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Quantitative molecular phenotyping with topically applied SERS nanoparticles for intraoperative guidance of breast cancer lumpectomy. Sci Rep 2016; 6:21242. [PMID: 26878888 PMCID: PMC4754709 DOI: 10.1038/srep21242] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Accepted: 01/20/2016] [Indexed: 01/28/2023] Open
Abstract
There is a need to image excised tissues during tumor-resection procedures in order to identify residual tumors at the margins and to guide their complete removal. The imaging of dysregulated cell-surface receptors is a potential means of identifying the presence of diseases with high sensitivity and specificity. However, due to heterogeneities in the expression of protein biomarkers in tumors, molecular-imaging technologies should ideally be capable of visualizing a multiplexed panel of cancer biomarkers. Here, we demonstrate that the topical application and quantification of a multiplexed cocktail of receptor-targeted surface-enhanced Raman scattering (SERS) nanoparticles (NPs) enables rapid quantitative molecular phenotyping (QMP) of the surface of freshly excised tissues to determine the presence of disease. In order to mitigate the ambiguity due to nonspecific sources of contrast such as off-target binding or uneven delivery, a ratiometric method is employed to quantify the specific vs. nonspecific binding of the multiplexed NPs. Validation experiments with human tumor cell lines, fresh human tumor xenografts in mice, and fresh human breast specimens demonstrate that QMP imaging of excised tissues agrees with flow cytometry and immunohistochemistry, and that this technique may be achieved in less than 15 minutes for potential intraoperative use in guiding breast-conserving surgeries.
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69
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Shi W, Paproski RJ, Shao P, Forbrich A, Lewis JD, Zemp RJ. Multimodality Raman and photoacoustic imaging of surface-enhanced-Raman-scattering-targeted tumor cells. JOURNAL OF BIOMEDICAL OPTICS 2016; 21:20503. [PMID: 26915041 DOI: 10.1117/1.jbo.21.2.020503] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Accepted: 01/26/2016] [Indexed: 05/16/2023]
Abstract
A multimodality Raman and photoacoustic imaging system is presented. This system has ultralow background and can detect tumor cells labeled with modified surface-enhanced-Raman-scattering (SERS) nanoparticles in vivo. Photoacoustic imaging provides microvascular context and can potentially be used to guide magnetic trapping of circulating tumor cells for SERS detection in animal models.
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Affiliation(s)
- Wei Shi
- University of Alberta, Department of Electrical and Computer Engineering, Second Floor ECERF, 9107-116 Street, Edmonton, Alberta, T6G 2V4, Canada
| | - Robert J Paproski
- University of Alberta, Department of Electrical and Computer Engineering, Second Floor ECERF, 9107-116 Street, Edmonton, Alberta, T6G 2V4, CanadabUniversity of Alberta, Department of Oncology, 114 Street and 87 Avenue, Edmonton, Alberta, T6G 2E1, Canada
| | - Peng Shao
- University of Alberta, Department of Electrical and Computer Engineering, Second Floor ECERF, 9107-116 Street, Edmonton, Alberta, T6G 2V4, Canada
| | - Alexander Forbrich
- University of Alberta, Department of Electrical and Computer Engineering, Second Floor ECERF, 9107-116 Street, Edmonton, Alberta, T6G 2V4, Canada
| | - John D Lewis
- University of Alberta, Department of Oncology, 114 Street and 87 Avenue, Edmonton, Alberta, T6G 2E1, Canada
| | - Roger J Zemp
- University of Alberta, Department of Electrical and Computer Engineering, Second Floor ECERF, 9107-116 Street, Edmonton, Alberta, T6G 2V4, Canada
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