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Mladenović M, Jarić S, Mundžić M, Pavlović A, Bobrinetskiy I, Knežević NŽ. Biosensors for Cancer Biomarkers Based on Mesoporous Silica Nanoparticles. BIOSENSORS 2024; 14:326. [PMID: 39056602 PMCID: PMC11274377 DOI: 10.3390/bios14070326] [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: 06/12/2024] [Revised: 06/25/2024] [Accepted: 06/28/2024] [Indexed: 07/28/2024]
Abstract
Mesoporous silica nanoparticles (MSNs) exhibit highly beneficial characteristics for devising efficient biosensors for different analytes. Their unique properties, such as capabilities for stable covalent binding to recognition groups (e.g., antibodies or aptamers) and sensing surfaces, open a plethora of opportunities for biosensor construction. In addition, their structured porosity offers capabilities for entrapping signaling molecules (dyes or electroactive species), which could be released efficiently in response to a desired analyte for effective optical or electrochemical detection. This work offers an overview of recent research studies (in the last five years) that contain MSNs in their optical and electrochemical sensing platforms for the detection of cancer biomarkers, classified by cancer type. In addition, this study provides an overview of cancer biomarkers, as well as electrochemical and optical detection methods in general.
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Affiliation(s)
| | | | | | | | | | - Nikola Ž. Knežević
- BioSense Institute, University of Novi Sad, Dr Zorana Djindjica 1, 21000 Novi Sad, Serbia; (M.M.); (S.J.); (M.M.); (A.P.)
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2
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Bagheri P, Eremina OE, Fernando A, Kamal M, Stegis I, Vazquez C, Shishido SN, Kuhn P, Zavaleta C. A Systematic Approach toward Enabling Maximal Targeting Efficiency of Cell Surface Proteins with Actively Targeted SERS Nanoparticles. ACS APPLIED MATERIALS & INTERFACES 2024; 16:15847-15860. [PMID: 38507685 DOI: 10.1021/acsami.3c18959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
With their intricate design, nanoparticles (NPs) have become indispensable tools in the quest for precise cellular targeting. Among various NPs, gold NPs stand out with unique features such as chemical stability, biocompatibility, adjustable shape, and size-dependent optical properties, making them particularly promising for molecular detection by leveraging the surface-enhanced Raman scattering (SERS) effect. Their multiplexing abilities for the simultaneous identification of multiple biomarkers are important in the rapidly evolving landscape of diverse cellular phenotypes and biomolecular profiling. However, the challenge is ensuring that SERS NPs can effectively target specific cells and biomarkers among intricate cell types and biomolecules with high specificity. In this study, we improve the functionalization of SERS NPs, optimizing their targeting efficiency in cellular applications for ca. 160 nm NP-based probes. Spherical SERS NPs, conjugated with antibodies targeting epidermal growth factor receptor and human epidermal growth factor receptor 2, were incubated with cells overexpressing these proteins, and their specific binding potential was quantified at each stage by using flow cytometry to achieve optimal targeting efficiency. We determined that maintaining an average of 3.5 × 105 thiols per NP, 300 antibodies per NP, 18,000 NPs per cell, conducting a 15 min staining incubation at 4 °C in a shaker, and using SM(PEG)12 as a cross-linker for the NP conjugation were crucial to achieve the highest targeting efficiency. Fluorescence and Raman imaging were used with these parameters to observe the maximum ability of these NPs to efficiently target suspended cells. These highly sensitive contrast agents demonstrate their pivotal role in effective active targeting, making them invaluable for multiplexing applications across diverse biological environments.
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Affiliation(s)
- Pegah Bagheri
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, California 90089, United States
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, California 90089, United States
| | - Olga E Eremina
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, California 90089, United States
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, California 90089, United States
| | - Augusta Fernando
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, California 90089, United States
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, California 90089, United States
| | - Mohamed Kamal
- Convergent Science Institute in Cancer, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, United States
| | - Ingus Stegis
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, California 90089, United States
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, California 90089, United States
| | - Celine Vazquez
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, California 90089, United States
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, California 90089, United States
| | - Stephanie N Shishido
- Convergent Science Institute in Cancer, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, United States
| | - Peter Kuhn
- Convergent Science Institute in Cancer, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, California 90089, United States
| | - Cristina Zavaleta
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, California 90089, United States
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, California 90089, United States
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3
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He Y, Døssing KBV, Rossing M, Bagger FO, Kjaer A. uPAR (PLAUR) Marks Two Intra-Tumoral Subtypes of Glioblastoma: Insights from Single-Cell RNA Sequencing. Int J Mol Sci 2024; 25:1998. [PMID: 38396677 PMCID: PMC10889167 DOI: 10.3390/ijms25041998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 01/20/2024] [Accepted: 01/31/2024] [Indexed: 02/25/2024] Open
Abstract
Urokinase plasminogen activator receptor (uPAR) encoded by the PLAUR gene is known as a clinical marker for cell invasiveness in glioblastoma multiforme (GBM). It is additionally implicated in various processes, including angiogenesis and inflammation within the tumor microenvironment. However, there has not been a comprehensive study that depicts the overall functions and molecular cooperators of PLAUR with respect to intra-tumoral subtypes of GBM. Using single-cell RNA sequencing data from 37 GBM patients, we identified PLAUR as a marker gene for two distinct subtypes in GBM. One subtype is featured by inflammatory activities and the other subtype is marked by ECM remodeling processes. Using the whole-transcriptome data from single cells, we are able to uncover the molecular cooperators of PLAUR for both subtypes without presuming biological pathways. Two protein networks comprise the molecular context of PLAUR, with each of the two subtypes characterized by a different dominant network. We concluded that targeting PLAUR directly influences the mechanisms represented by these two protein networks, regardless of the subtype of the targeted cell.
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Affiliation(s)
- Yue He
- Department of Clinical Physiology, Nuclear Medicine and PET & Cluster for Molecular Imaging, Copenhagen University Hospital—Rigshospitalet, 2200 Copenhagen, Denmark; (Y.H.); (K.B.V.D.)
- Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Kristina B. V. Døssing
- Department of Clinical Physiology, Nuclear Medicine and PET & Cluster for Molecular Imaging, Copenhagen University Hospital—Rigshospitalet, 2200 Copenhagen, Denmark; (Y.H.); (K.B.V.D.)
- Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Maria Rossing
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark (F.O.B.)
- Department of Clinical Medicine, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Frederik Otzen Bagger
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark (F.O.B.)
| | - Andreas Kjaer
- Department of Clinical Physiology, Nuclear Medicine and PET & Cluster for Molecular Imaging, Copenhagen University Hospital—Rigshospitalet, 2200 Copenhagen, Denmark; (Y.H.); (K.B.V.D.)
- Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
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4
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Cutshaw G, Uthaman S, Hassan N, Kothadiya S, Wen X, Bardhan R. The Emerging Role of Raman Spectroscopy as an Omics Approach for Metabolic Profiling and Biomarker Detection toward Precision Medicine. Chem Rev 2023; 123:8297-8346. [PMID: 37318957 PMCID: PMC10626597 DOI: 10.1021/acs.chemrev.2c00897] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Omics technologies have rapidly evolved with the unprecedented potential to shape precision medicine. Novel omics approaches are imperative toallow rapid and accurate data collection and integration with clinical information and enable a new era of healthcare. In this comprehensive review, we highlight the utility of Raman spectroscopy (RS) as an emerging omics technology for clinically relevant applications using clinically significant samples and models. We discuss the use of RS both as a label-free approach for probing the intrinsic metabolites of biological materials, and as a labeled approach where signal from Raman reporters conjugated to nanoparticles (NPs) serve as an indirect measure for tracking protein biomarkers in vivo and for high throughout proteomics. We summarize the use of machine learning algorithms for processing RS data to allow accurate detection and evaluation of treatment response specifically focusing on cancer, cardiac, gastrointestinal, and neurodegenerative diseases. We also highlight the integration of RS with established omics approaches for holistic diagnostic information. Further, we elaborate on metal-free NPs that leverage the biological Raman-silent region overcoming the challenges of traditional metal NPs. We conclude the review with an outlook on future directions that will ultimately allow the adaptation of RS as a clinical approach and revolutionize precision medicine.
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Affiliation(s)
- Gabriel Cutshaw
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50012, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
| | - Saji Uthaman
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50012, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
| | - Nora Hassan
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50012, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
| | - Siddhant Kothadiya
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50012, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
| | - Xiaona Wen
- Biologics Analytical Research and Development, Merck & Co., Inc., Rahway, NJ, 07065, USA
| | - Rizia Bardhan
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50012, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
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5
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Murali VP, Karunakaran V, Murali M, Lekshmi A, Kottarathil S, Deepika S, Saritha VN, Ramya AN, Raghu KG, Sujathan K, Maiti KK. A clinically feasible diagnostic spectro-histology built on SERS-nanotags for multiplex detection and grading of breast cancer biomarkers. Biosens Bioelectron 2023; 227:115177. [PMID: 36871528 DOI: 10.1016/j.bios.2023.115177] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 02/14/2023] [Accepted: 02/22/2023] [Indexed: 02/27/2023]
Abstract
Simultaneous detection of multiple biomarkers is always an obstacle in immunohistochemical (IHC) analysis. Herein, a straightforward spectroscopy-driven histopathologic approach has emerged as a paradigm of Raman-label (RL) nanoparticle probes for multiplex recognition of pertinent biomarkers in heterogeneous breast cancer. The nanoprobes are constructed by sequential incorporation of signature RL and target specific antibodies on gold nanoparticles, which are coined as Raman-Label surface enhanced Raman scattering (RL-SERS)-nanotags to evaluate simultaneous recognition of clinically relevant breast cancer biomarkers i.e., estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor2 (HER2). As a foot-step assessment, breast cancer cell lines having varied expression levels of the triple biomarkers are investigated. Subsequently, the optimized detection strategy using RL-SERS-nanotags is subjected to clinically confirmed, retrospective formalin-fixed paraffin embedded (FFPE) breast cancer tissue samples to fish out the quick response of singleplex, duplex as well as triplex biomarkers in a single tissue specimen by adopting a ratiometric signature RL-SERS analysis which enabled to minimize the false negative and positive results. Significantly, sensitivity and specificity of 95% and 92% for singleplex, 88% and 85% for duplex, and 75% and 67% for triplex biomarker has been achieved by assessing specific Raman fingerprints of the respective SERS-tags. Furthermore, a semi-quantitative evaluation of HER2 grading between 4+/2+/1+ tissue samples was also achieved by the Raman intensity profiling of the SERS-tag, which is fully in agreement with the expensive fluorescent in situ hybridization analysis. Additionally, the practical diagnostic applicability of RL-SERS-tags has been achieved by large area SERS imaging of areas covering 0.5-5 mm2 within 45 min. These findings unveil an accurate, inexpensive and multiplex diagnostic modality envisaging large-scale multi-centric clinical validation.
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Affiliation(s)
- Vishnu Priya Murali
- CSIR-National Institute for Interdisciplinary Science & Technology (NIIST), Chemical Sciences & Technology Division (CSTD), Organic Chemistry Section, Industrial Estate, Thiruvananthapuram, 695019, Kerala, India
| | - Varsha Karunakaran
- CSIR-National Institute for Interdisciplinary Science & Technology (NIIST), Chemical Sciences & Technology Division (CSTD), Organic Chemistry Section, Industrial Estate, Thiruvananthapuram, 695019, Kerala, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Madhukrishnan Murali
- CSIR-National Institute for Interdisciplinary Science & Technology (NIIST), Chemical Sciences & Technology Division (CSTD), Organic Chemistry Section, Industrial Estate, Thiruvananthapuram, 695019, Kerala, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Asha Lekshmi
- Regional Cancer Centre (RCC), Division of Cancer Research, Thiruvananthapuram, 695011, Kerala, India
| | - Shamna Kottarathil
- CSIR-National Institute for Interdisciplinary Science & Technology (NIIST), Chemical Sciences & Technology Division (CSTD), Organic Chemistry Section, Industrial Estate, Thiruvananthapuram, 695019, Kerala, India
| | - Selvakumar Deepika
- CSIR-National Institute for Interdisciplinary Science & Technology (NIIST), Chemical Sciences & Technology Division (CSTD), Organic Chemistry Section, Industrial Estate, Thiruvananthapuram, 695019, Kerala, India
| | - Valliamma N Saritha
- Regional Cancer Centre (RCC), Division of Cancer Research, Thiruvananthapuram, 695011, Kerala, India
| | - Adukkadan N Ramya
- CSIR-National Institute for Interdisciplinary Science & Technology (NIIST), Chemical Sciences & Technology Division (CSTD), Organic Chemistry Section, Industrial Estate, Thiruvananthapuram, 695019, Kerala, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Kozhiparambil G Raghu
- CSIR-National Institute for Interdisciplinary Science & Technology (NIIST), Agro-Processing and Technology Division (APTD), Industrial Estate, Thiruvananthapuram, 695019, Kerala, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Kunjuraman Sujathan
- Regional Cancer Centre (RCC), Division of Cancer Research, Thiruvananthapuram, 695011, Kerala, India.
| | - Kaustabh Kumar Maiti
- CSIR-National Institute for Interdisciplinary Science & Technology (NIIST), Chemical Sciences & Technology Division (CSTD), Organic Chemistry Section, Industrial Estate, Thiruvananthapuram, 695019, Kerala, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
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6
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Ir(III)-based Ratiometric Hypoxic Probe for Cell Imaging. CHINESE JOURNAL OF POLYMER SCIENCE 2023. [DOI: 10.1007/s10118-023-2922-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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7
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Andreou C, Weissleder R, Kircher MF. Multiplexed imaging in oncology. Nat Biomed Eng 2022; 6:527-540. [PMID: 35624151 DOI: 10.1038/s41551-022-00891-5] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 09/06/2021] [Indexed: 01/24/2023]
Abstract
In oncology, technologies for clinical molecular imaging are used to diagnose patients, establish the efficacy of treatments and monitor the recurrence of disease. Multiplexed methods increase the number of disease-specific biomarkers that can be detected simultaneously, such as the overexpression of oncogenic proteins, aberrant metabolite uptake and anomalous blood perfusion. The quantitative localization of each biomarker could considerably increase the specificity and the accuracy of technologies for clinical molecular imaging to facilitate granular diagnoses, patient stratification and earlier assessments of the responses to administered therapeutics. In this Review, we discuss established techniques for multiplexed imaging and the most promising emerging multiplexing technologies applied to the imaging of isolated tissues and cells and to non-invasive whole-body imaging. We also highlight advances in radiology that have been made possible by multiplexed imaging.
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Affiliation(s)
- Chrysafis Andreou
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Center for Molecular Imaging and Nanotechnology (CMINT), Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus
| | - Ralph Weissleder
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. .,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. .,Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
| | - Moritz F Kircher
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA.,Department of Imaging, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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8
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Qian N, Min W. Super-multiplexed vibrational probes: Being colorful makes a difference. Curr Opin Chem Biol 2022; 67:102115. [PMID: 35077919 PMCID: PMC8940683 DOI: 10.1016/j.cbpa.2021.102115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 12/19/2021] [Accepted: 12/20/2021] [Indexed: 11/03/2022]
Abstract
Biological systems with intrinsic complexity require multiplexing techniques to comprehensively describe the phenotype, interaction, and heterogeneity. Recent years have witnessed the development of super-multiplexed vibrational microscopy, overcoming the 'color barrier' of fluorescence-based optical techniques. Here, we will review the recent progress in the design and applications of super-multiplexed vibrational probes. We hope to illustrate how rainbow-like vibrational colors can be generated from systematic studies on structure-spectroscopy relationships and how being colorful makes a difference to various biomedical applications.
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Affiliation(s)
- Naixin Qian
- Department of Chemistry, Columbia University, New York, NY, 10027, USA
| | - Wei Min
- Department of Chemistry, Columbia University, New York, NY, 10027, USA.
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9
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Yin H, Jin Z, Duan W, Han B, Han L, Li C. Emergence of Responsive Surface-Enhanced Raman Scattering Probes for Imaging Tumor-Associated Metabolites. Adv Healthc Mater 2022; 11:e2200030. [PMID: 35182455 DOI: 10.1002/adhm.202200030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 02/03/2022] [Indexed: 11/11/2022]
Abstract
As a core hallmark of cancer, metabolic reprogramming alters the metabolic networks of cancer cells to meet their insatiable appetite for energy and nutrient. Tumor-associated metabolites, the products of metabolic reprogramming, are valuable in evaluating tumor occurrence and progress timely and accurately because their concentration variations usually happen earlier than the aberrances demonstrated in tissue structure and function. As an optical spectroscopic technique, surface-enhanced Raman scattering (SERS) offers advantages in imaging tumor-associated metabolites, including ultrahigh sensitivity, high specificity, multiplexing capacity, and uncompromised signal intensity. This review first highlights recent advances in the development of stimuli-responsive SERS probes. Then the mechanisms leading to the responsive SERS signal triggered by tumor metabolites are summarized. Furthermore, biomedical applications of these responsive SERS probes, such as the image-guided tumor surgery and liquid biopsy examination for tumor molecular typing, are summarized. Finally, the challenges and prospects of the responsive SERS probes for clinical translation are also discussed.
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Affiliation(s)
- Hang Yin
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
| | - Ziyi Jin
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
| | - Wenjia Duan
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
| | - Bing Han
- Minhang Hospital Fudan University Xinsong Road 170 Shanghai 201100 China
| | - Limei Han
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
| | - Cong Li
- Minhang Hospital and Key Laboratory of Smart Drug Delivery Ministry of Education State Key Laboratory of Medical Neurobiology School of Pharmacy Fudan University Shanghai 201203 China
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10
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Liu H, Gao X, Xu C, Liu D. SERS Tags for Biomedical Detection and Bioimaging. Theranostics 2022; 12:1870-1903. [PMID: 35198078 PMCID: PMC8825578 DOI: 10.7150/thno.66859] [Citation(s) in RCA: 77] [Impact Index Per Article: 38.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 12/09/2021] [Indexed: 11/05/2022] Open
Abstract
Surface-enhanced Raman scattering (SERS) has emerged as a valuable technique for molecular identification. Due to the characteristics of high sensitivity, excellent signal specificity, and photobleaching resistance, SERS has been widely used in the fields of environmental monitoring, food safety, and disease diagnosis. By attaching the organic molecules to the surface of plasmonic nanoparticles, the obtained SERS tags show high-performance multiplexing capability for biosensing. The past decade has witnessed the progress of SERS tags for liquid biopsy, bioimaging, and theranostics applications. This review focuses on the advances of SERS tags in biomedical fields. We first introduce the building blocks of SERS tags, followed by the summarization of recent progress in SERS tags employed for detecting biomarkers, such as DNA, miRNA, and protein in biological fluids, as well as imaging from in vitro cell, bacteria, tissue to in vivo tumors. Further, we illustrate the appealing applications of SERS tags for delineating tumor margins and cancer diagnosis. In the end, perspectives of SERS tags projecting into the possible obstacles are deliberately proposed in future clinical translation.
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Affiliation(s)
- Huiqiao Liu
- College of Chemistry and Chemical Engineering, Xinyang Key Laboratory of Functional Nanomaterials for Bioanalysis, Xinyang Normal University, Xinyang 464000, China
| | - Xia Gao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Chen Xu
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin Institute of Coloproctology, Tianjin 300000, China
| | - Dingbin Liu
- State Key Laboratory of Medicinal Chemical Biology, Research Center for Analytical Sciences, and Tianjin Key Laboratory of Molecular Recognition and Biosensing, College of Chemistry, Nankai University, Tianjin 300071, China
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11
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Gomes MC, Chen J, Cunha A, Trindade T, Zheng G, Tomé JPC. Complex cellular environments imaged by SERS nanoprobes using sugars as an all-in-one vector. J Mater Chem B 2021; 9:9285-9294. [PMID: 34709285 DOI: 10.1039/d1tb01360b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Raman spectroscopy coupled with confocal microscopy offers an alternative bioimaging technique overcoming limitations associated with sensitivity, tissue penetration and image resolution. Allied to the surface-enhanced Raman scattering (SERS) properties of gold nanoparticles (AuNP), we designed SERS nanoprobes with enhanced properties and straightforward application as bio-labelling agents for gliomas. The ensuing nanoprobes coated with simple sugar units (galactose or glucose) allowed assessing information about their intracellular localization (vesicular structures), with impressive sensitivity towards complex environments and proved the ability to overcome biological auto-fluorescence and high penetration in tissues. We validate the use of sugars as an all-in-one vector (Raman reporter, conferring high stability, biocompatibility and affinity to glioma cells) as imaging agents using an impressive technique.
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Affiliation(s)
- Maria C Gomes
- LAQV-REQUINTE and Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.,Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada.
| | - Juan Chen
- Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada.
| | - Angela Cunha
- CESAM and Department of Biology, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Tito Trindade
- CICECO-Aveiro Institute of Materials and Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Gang Zheng
- Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada. .,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - João P C Tomé
- LAQV-REQUINTE and Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.,CQE and Departamento de Engenharia Química, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal.
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12
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Becker L, Janssen N, Layland SL, Mürdter TE, Nies AT, Schenke-Layland K, Marzi J. Raman Imaging and Fluorescence Lifetime Imaging Microscopy for Diagnosis of Cancer State and Metabolic Monitoring. Cancers (Basel) 2021; 13:cancers13225682. [PMID: 34830837 PMCID: PMC8616063 DOI: 10.3390/cancers13225682] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/05/2021] [Accepted: 11/10/2021] [Indexed: 02/08/2023] Open
Abstract
Hurdles for effective tumor therapy are delayed detection and limited effectiveness of systemic drug therapies by patient-specific multidrug resistance. Non-invasive bioimaging tools such as fluorescence lifetime imaging microscopy (FLIM) and Raman-microspectroscopy have evolved over the last decade, providing the potential to be translated into clinics for early-stage disease detection, in vitro drug screening, and drug efficacy studies in personalized medicine. Accessing tissue- and cell-specific spectral signatures, Raman microspectroscopy has emerged as a diagnostic tool to identify precancerous lesions, cancer stages, or cell malignancy. In vivo Raman measurements have been enabled by recent technological advances in Raman endoscopy and signal-enhancing setups such as coherent anti-stokes Raman spectroscopy or surface-enhanced Raman spectroscopy. FLIM enables in situ investigations of metabolic processes such as glycolysis, oxidative stress, or mitochondrial activity by using the autofluorescence of co-enzymes NADH and FAD, which are associated with intrinsic proteins as a direct measure of tumor metabolism, cell death stages and drug efficacy. The combination of non-invasive and molecular-sensitive in situ techniques and advanced 3D tumor models such as patient-derived organoids or microtumors allows the recapitulation of tumor physiology and metabolism in vitro and facilitates the screening for patient-individualized drug treatment options.
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Affiliation(s)
- Lucas Becker
- Department for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering, University of Tübingen, 72076 Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, 72076 Tübingen, Germany
| | - Nicole Janssen
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, University of Tübingen, 72076 Tübingen, Germany
| | - Shannon L Layland
- Department for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering, University of Tübingen, 72076 Tübingen, Germany
| | - Thomas E Mürdter
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, University of Tübingen, 72076 Tübingen, Germany
| | - Anne T Nies
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, 72076 Tübingen, Germany
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, University of Tübingen, 72076 Tübingen, Germany
| | - Katja Schenke-Layland
- Department for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering, University of Tübingen, 72076 Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, 72076 Tübingen, Germany
- NMI Natural and Medical Sciences Institute at the University of Tübingen, 72770 Reutlingen, Germany
- Cardiovascular Research Laboratories, Department of Medicine/Cardiology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90073, USA
| | - Julia Marzi
- Department for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering, University of Tübingen, 72076 Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, 72076 Tübingen, Germany
- NMI Natural and Medical Sciences Institute at the University of Tübingen, 72770 Reutlingen, Germany
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13
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Lin T, Song YL, Kuang P, Chen S, Mao Z, Zeng TT. Nanostructure-based surface-enhanced Raman scattering for diagnosis of cancer. Nanomedicine (Lond) 2021; 16:2389-2406. [PMID: 34530631 DOI: 10.2217/nnm-2021-0298] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Cancer is a malignant disease that seriously affects human health and life. Early diagnosis and timely treatment can significantly improve the survival rate of cancer patients. Surface-enhanced Raman scattering (SERS) is an optical technology that can detect and image samples at the single-molecule level. It has the advantages of rapidity, high specificity, high sensitivity and no damage to the sample. The performance of SERS is highly dependent on the properties, size and morphology of the SERS substrate. Preparation of SERS substrates with good reproducibility and chemical stability is a key factor in realizing the wide application of SERS technology in cancer diagnosis. In this review we provide a detailed presentation of the latest research on SERS in cancer diagnosis and the detection of cancer biomarkers, mainly focusing on nanotechnological approaches in cancer diagnosis by using SERS. We also consider the future development of nanostructure-based SERS in cancer diagnosis.
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Affiliation(s)
- Ting Lin
- Department of Hematology, Research Laboratory of Hematology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ya-Li Song
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Pu Kuang
- Department of Hematology, Research Laboratory of Hematology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Si Chen
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zhigang Mao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ting-Ting Zeng
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
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14
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House BJ, Kwon MJ, Schaefer JM, Barth CW, Solanki A, Davis SC, Gibbs SL. Clinically relevant dual probe difference specimen imaging (DDSI) protocol for freshly resected breast cancer specimen staining. BMC Cancer 2021; 21:440. [PMID: 33882909 PMCID: PMC8059239 DOI: 10.1186/s12885-021-08179-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 04/05/2021] [Indexed: 11/12/2022] Open
Abstract
Background Re-excision rates following breast conserving surgery (BCS) remain as high as ~ 35%, with positive margins detected during follow-up histopathology. Additional breast cancer resection surgery is not only taxing on the patient and health care system, but also delays adjuvant therapies, increasing morbidity and reducing the likelihood of a positive outcome. The ability to precisely resect and visualize tumor margins in real time within the surgical theater would greatly benefit patients, surgeons and the health care system. Current tumor margin assessment technologies utilized during BCS involve relatively lengthy and labor-intensive protocols, which impede the surgical work flow. Methods In previous work, we have developed and validated a fluorescence imaging method termed dual probe difference specimen imaging (DDSI) to accurately detect benign and malignant tissue with direct correlation to the targeted biomarker expression levels intraoperatively. The DDSI method is currently on par with touch prep cytology in execution time (~ 15-min). In this study, the main goal was to shorten the DDSI protocol by decreasing tissue blocking and washing times to optimize the DDSI protocol to < 10-min whilst maintaining robust benign and malignant tissue differentiation. Results We evaluated the utility of the shortened DDSI staining methodology using xenografts grown from cell lines with varied epidermal growth factor receptor (EGFR) expression levels, comparing accuracy through receiver operator characteristic (ROC) curve analyses across varied tissue blocking and washing times. An optimized 8-min DDSI methodology was developed for future clinical translation. Conclusions Successful completion of this work resulted in substantial shortening of the DDSI methodology for use in the operating room, that provided robust, highly receptor specific, sensitive diagnostic capabilities between benign and malignant tissues.
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Affiliation(s)
- Broderick J House
- Biomedical Engineering Department, Oregon Health & Science University, 2730 S Moody Ave, Mail Code: CL3SG, Portland, OR, 97201, USA
| | - Marcus J Kwon
- Biomedical Engineering Department, Oregon Health & Science University, 2730 S Moody Ave, Mail Code: CL3SG, Portland, OR, 97201, USA
| | - Jasmin M Schaefer
- Biomedical Engineering Department, Oregon Health & Science University, 2730 S Moody Ave, Mail Code: CL3SG, Portland, OR, 97201, USA
| | - Connor W Barth
- Biomedical Engineering Department, Oregon Health & Science University, 2730 S Moody Ave, Mail Code: CL3SG, Portland, OR, 97201, USA
| | - Allison Solanki
- Biomedical Engineering Department, Oregon Health & Science University, 2730 S Moody Ave, Mail Code: CL3SG, Portland, OR, 97201, USA
| | - Scott C Davis
- Thayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA
| | - Summer L Gibbs
- Biomedical Engineering Department, Oregon Health & Science University, 2730 S Moody Ave, Mail Code: CL3SG, Portland, OR, 97201, USA. .,Knight Cancer Institute, Oregon Health & Science University, 2730 S Moody Ave, Mail Code: CL3SG, Portland, OR, 97201, USA.
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15
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Shen Y, Yue J, Xu W, Xu S. Recent progress of surface-enhanced Raman spectroscopy for subcellular compartment analysis. Theranostics 2021; 11:4872-4893. [PMID: 33754033 PMCID: PMC7978302 DOI: 10.7150/thno.56409] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 01/25/2021] [Indexed: 12/14/2022] Open
Abstract
Organelles are involved in many cell life activities, and their metabolic or functional disorders are closely related to apoptosis, neurodegenerative diseases, cardiovascular diseases, and the development and metastasis of cancers. The explorations of subcellular structures, microenvironments, and their abnormal conditions are conducive to a deeper understanding of many pathological mechanisms, which are expected to achieve the early diagnosis and the effective therapy of diseases. Organelles are also the targeted locations of drugs, and they play significant roles in many targeting therapeutic strategies. Surface-enhanced Raman spectroscopy (SERS) is a powerful analytical tool that can provide the molecular fingerprint information of subcellular compartments and the real-time cellular dynamics in a non-invasive and non-destructive way. This review aims to summarize the recent advances of SERS studies on subcellular compartments, including five parts. The introductions of SERS and subcellular compartments are given. SERS is promising in subcellular compartment studies due to its molecular specificity and high sensitivity, and both of which highly match the high demands of cellular/subcellular investigations. Intracellular SERS is mainly cataloged as the labeling and label-free methods. For subcellular targeted detections and therapies, how to internalize plasmonic nanoparticles or nanostructure in the target locations is a key point. The subcellular compartment SERS detections, SERS measurements of isolated organelles, investigations of therapeutic mechanisms from subcellular compartments and microenvironments, and integration of SERS diagnosis and treatment are sequentially presented. A perspective view of the subcellular SERS studies is discussed from six aspects. This review provides a comprehensive overview of SERS applications in subcellular compartment researches, which will be a useful reference for designing the SERS-involved therapeutic systems.
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Affiliation(s)
- Yanting Shen
- State Key Laboratory of Supramolecular Structure and Materials, Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130012, People's Republic of China
- School of Pharmaceutical Sciences, Key Laboratory of Innovative Drug Development and Evaluation, Hebei Medical University, Shijiazhuang, 050017, China
| | - Jing Yue
- State Key Laboratory of Supramolecular Structure and Materials, Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130012, People's Republic of China
| | - Weiqing Xu
- State Key Laboratory of Supramolecular Structure and Materials, Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130012, People's Republic of China
| | - Shuping Xu
- State Key Laboratory of Supramolecular Structure and Materials, Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130012, People's Republic of China
- Department of Molecular Sciences, ARC Centre of Excellence for Nanoscale BioPhotonics (CNBP), Macquarie University, Sydney, New South Wales 2109, Australia
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16
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Balasundaram G, Krafft C, Zhang R, Dev K, Bi R, Moothanchery M, Popp J, Olivo M. Biophotonic technologies for assessment of breast tumor surgical margins-A review. JOURNAL OF BIOPHOTONICS 2021; 14:e202000280. [PMID: 32951321 DOI: 10.1002/jbio.202000280] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 09/15/2020] [Accepted: 09/18/2020] [Indexed: 06/11/2023]
Abstract
Breast conserving surgery (BCS) offering similar surgical outcomes as mastectomy while retaining breast cosmesis is becoming increasingly popular for the management of early stage breast cancers. However, its association with reoperation rates of 20% to 40% following incomplete tumor removal warrants the need for a fast and accurate intraoperative surgical margin assessment tool that offers cellular, structural and molecular information of the whole specimen surface to a clinically relevant depth. Biophotonic technologies are evolving to qualify as such an intraoperative tool for clinical assessment of breast cancer surgical margins at the microscopic and macroscopic scale. Herein, we review the current research in the application of biophotonic technologies such as photoacoustic imaging, Raman spectroscopy, multimodal multiphoton imaging, diffuse optical imaging and fluorescence imaging using medically approved dyes for breast cancer detection and/or tumor subtype differentiation toward intraoperative assessment of surgical margins in BCS specimens, and possible challenges in their route to clinical translation.
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Affiliation(s)
- Ghayathri Balasundaram
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | | | - Ruochong Zhang
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Kapil Dev
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Renzhe Bi
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Mohesh Moothanchery
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, University Jena, Jena, Germany
| | - Malini Olivo
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
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17
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Elumalai S, Managó S, De Luca AC. Raman Microscopy: Progress in Research on Cancer Cell Sensing. SENSORS (BASEL, SWITZERLAND) 2020; 20:E5525. [PMID: 32992464 PMCID: PMC7582629 DOI: 10.3390/s20195525] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 09/21/2020] [Accepted: 09/24/2020] [Indexed: 02/07/2023]
Abstract
In the last decade, Raman Spectroscopy (RS) was demonstrated to be a label-free, non-invasive and non-destructive optical spectroscopy allowing the improvement in diagnostic accuracy in cancer and analytical assessment for cell sensing. This review discusses how Raman spectra can lead to a deeper molecular understanding of the biochemical changes in cancer cells in comparison to non-cancer cells, analyzing two key examples, leukemia and breast cancer. The reported Raman results provide information on cancer progression and allow the identification, classification, and follow-up after chemotherapy treatments of the cancer cells from the liquid biopsy. The key obstacles for RS applications in cancer cell diagnosis, including quality, objectivity, number of cells and velocity of the analysis, are considered. The use of multivariant analysis, such as principal component analysis (PCA) and linear discriminate analysis (LDA), for an automatic and objective assessment without any specialized knowledge of spectroscopy is presented. Raman imaging for cancer cell mapping is shown and its advantages for routine clinical pathology practice and live cell imaging, compared to single-point spectral analysis, are debated. Additionally, the combination of RS with microfluidic devices and high-throughput screening for improving the velocity and the number of cells analyzed are also discussed. Finally, the combination of the Raman microscopy (RM) with other imaging modalities, for complete visualization and characterization of the cells, is described.
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Affiliation(s)
| | | | - Anna Chiara De Luca
- Institute of Biochemistry and Cell Biology (IBBC), National Research Council of Italy (CNR), Via P. Castellino 111, 80131 Naples, Italy; (S.E.); (S.M.)
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18
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Blanco-Formoso M, Alvarez-Puebla RA. Cancer Diagnosis through SERS and Other Related Techniques. Int J Mol Sci 2020; 21:ijms21062253. [PMID: 32214017 PMCID: PMC7139671 DOI: 10.3390/ijms21062253] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 03/17/2020] [Accepted: 03/20/2020] [Indexed: 12/11/2022] Open
Abstract
Cancer heterogeneity increasingly requires ultrasensitive techniques that allow early diagnosis for personalized treatment. In addition, they should preferably be non-invasive tools that do not damage surrounding tissues or contribute to body toxicity. In this context, liquid biopsy of biological samples such as urine, blood, or saliva represents an ideal approximation of what is happening in real time in the affected tissues. Plasmonic nanoparticles are emerging as an alternative or complement to current diagnostic techniques, being able to detect and quantify novel biomarkers such as specific peptides and proteins, microRNA, circulating tumor DNA and cells, and exosomes. Here, we review the latest ideas focusing on the use of plasmonic nanoparticles in coded and label-free surface-enhanced Raman scattering (SERS) spectroscopy. Moreover, surface plasmon resonance (SPR) spectroscopy, colorimetric assays, dynamic light scattering (DLS) spectroscopy, mass spectrometry or total internal reflection fluorescence (TIRF) microscopy among others are briefly examined in order to highlight the potential and versatility of plasmonics.
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Affiliation(s)
- Maria Blanco-Formoso
- Department of Physical Chemistry and EMaS, Universitat Rovira i Virgili, 43007 Tarragona, Spain
- Correspondence: (M.B.-F.); (R.A.A.-P.)
| | - Ramon A. Alvarez-Puebla
- Department of Physical Chemistry and EMaS, Universitat Rovira i Virgili, 43007 Tarragona, Spain
- ICREA, Passeig Lluís Companys 23, 08010 Barcelona, Spain
- Correspondence: (M.B.-F.); (R.A.A.-P.)
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19
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Meng B, Folaron MR, Byrd BK, Samkoe KS, Strawbridge RS, Barth C, Gibbs SL, Davis SC. Topical dual-probe staining using quantum dot-labeled antibodies for identifying tumor biomarkers in fresh specimens. PLoS One 2020; 15:e0230267. [PMID: 32160634 PMCID: PMC7065915 DOI: 10.1371/journal.pone.0230267] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Accepted: 02/25/2020] [Indexed: 12/26/2022] Open
Abstract
Purpose Rapid, intra-operative identification of tumor tissue in the margins of excised specimens has become an important focus in the pursuit of reducing re-excision rates, especially for breast conserving surgery. Dual-probe difference specimen imaging (DDSI) is an emerging approach that uses the difference in uptake/clearance kinetics between a pair of fluorescently-labeled stains, one targeted to a biomarker-of-interest and the other an untargeted isotype, to reveal receptor-specific images of the specimen. Previous studies using antibodies labeled with either enhanced Raman particles or organic fluorophores have shown promising tumor vs. normal diagnostic performance. Yet, the unique properties of quantum dot-labeled antibody complexes (QDACs), which provide spectrally-distinct fluorescence emission from a common excitation source, make them ideal candidates for this application. Herein, we evaluate the diagnostic performance of QDAC-based DDSI in excised xenografts. Procedures Excised fresh specimens of normal tissue and human tumor xenografts with elevated expression of HER2 were stained with a HER2-targeted QDAC and an untargeted QDAC isotype. Stained specimens were imaged on a custom hyperspectral imaging system capable of spectrally separating the quantum dot signatures, and images processed using the DDSI approach. The diagnostic performance of this technique under different incubation temperatures and probe concentrations was evaluated using receiver-operator characteristic analysis. Results HER2-targeted QDAC-DDSI was able to distinguish HER2(+) tumors from normal tissue with reasonably high diagnostic performance; however, this performance was sensitive to temperature during the staining procedure. Area under the curve values were 0.61 when staining at room temperature but increased to over 0.81 when staining at 37 °C. Diagnostic performance was not affected by increasing stain concentration. Conclusions This study is the first to report dual-probe difference imaging of specimens using QDACs and hyperspectral imaging. Our results show promising diagnostic performance under certain conditions, and compel further optimization and evaluation of this intra-operative margin assessment technique.
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Affiliation(s)
- Boyu Meng
- Thayer School of Engineering at Dartmouth College, Hanover, New Hampshire, United States of America
| | - Margaret R. Folaron
- Thayer School of Engineering at Dartmouth College, Hanover, New Hampshire, United States of America
| | - Brook K. Byrd
- Thayer School of Engineering at Dartmouth College, Hanover, New Hampshire, United States of America
| | - Kimberley S. Samkoe
- Geisel School of Medicine at Dartmouth College, Hanover, New Hampshire, United States of America
- Department of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States of America
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States of America
| | - Rendall S. Strawbridge
- Thayer School of Engineering at Dartmouth College, Hanover, New Hampshire, United States of America
| | - Connor Barth
- Biomedical Engineering Department, Oregon Health and Science University, Portland, Oregon, United States of America
| | - Summer L. Gibbs
- Biomedical Engineering Department, Oregon Health and Science University, Portland, Oregon, United States of America
| | - Scott C. Davis
- Thayer School of Engineering at Dartmouth College, Hanover, New Hampshire, United States of America
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States of America
- * E-mail:
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20
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Fang W, Zhu W, Chen H, Zhang H, Hong S, Wei W, Zhao T. MRI Enhancement and Tumor Targeted Drug Delivery Using Zn2+-Doped Fe3O4 Core/Mesoporous Silica Shell Nanocomposites. ACS APPLIED BIO MATERIALS 2020; 3:1690-1697. [DOI: 10.1021/acsabm.9b01244] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Weijun Fang
- College of Basic Medicine, Anhui Medical University, Hefei 230032, China
| | - Wenjuan Zhu
- School of Chemistry and Chemical Engineering, Hefei Normal University, Hefei 230601, China
| | - Hu Chen
- School of Chemistry and Chemical Engineering, Hefei Normal University, Hefei 230601, China
| | - Hanyuan Zhang
- Department of Sports Medicine and Arthroscopic Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Shi Hong
- College of Basic Medicine, Anhui Medical University, Hefei 230032, China
| | - Wenmei Wei
- College of Basic Medicine, Anhui Medical University, Hefei 230032, China
| | - Tingting Zhao
- College of Basic Medicine, Anhui Medical University, Hefei 230032, China
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21
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Juneja S, Bhattacharya J. Biosynthetically grown dendritic silver nanostructures for visible Surface Enhanced Resonance Raman Spectroscopy (v-SERRS). NEW J CHEM 2020. [DOI: 10.1039/d0nj03040f] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A simple approach to achieve high SERS enhancement for bio-analyte detection at visible wavelength through a resonance Raman (RR) effect has been proposed in this study.
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Affiliation(s)
- Subhavna Juneja
- NanoBiotechnology Lab, School of Biotechnology
- Jawaharlal Nehru University
- India
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22
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Guerrini L, Alvarez-Puebla RA. Surface-Enhanced Raman Spectroscopy in Cancer Diagnosis, Prognosis and Monitoring. Cancers (Basel) 2019; 11:E748. [PMID: 31146464 PMCID: PMC6627759 DOI: 10.3390/cancers11060748] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 05/23/2019] [Accepted: 05/27/2019] [Indexed: 12/28/2022] Open
Abstract
As medicine continues to advance our understanding of and knowledge about the complex and multifactorial nature of cancer, new major technological challenges have emerged in the design of analytical methods capable of characterizing and assessing the dynamic heterogeneity of cancer for diagnosis, prognosis and monitoring, as required by precision medicine. With this aim, novel nanotechnological approaches have been pursued and developed for overcoming intrinsic and current limitations of conventional methods in terms of rapidity, sensitivity, multiplicity, non-invasive procedures and cost. Eminently, a special focus has been put on their implementation in liquid biopsy analysis. Among optical nanosensors, those based on surface-enhanced Raman scattering (SERS) have been attracting tremendous attention due to the combination of the intrinsic prerogatives of the technique (e.g., sensitivity and structural specificity) and the high degree of refinement in nano-manufacturing, which translate into reliable and robust real-life applications. In this review, we categorize the diverse strategic approaches of SERS biosensors for targeting different classes of tumor biomarkers (cells, nucleic acids and proteins) by illustrating key recent research works. We will also discuss the current limitations and future research challenges to be addressed to improve the competitiveness of SERS over other methodologies in cancer medicine.
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Affiliation(s)
- Luca Guerrini
- Department of Physical and Inorganic Chemistry and EMaS, Universitat Rovira I Virgili, Carrer de Marcel.lí Domingo s/n, 43007 Tarragona, Spain.
| | - Ramon A Alvarez-Puebla
- Department of Physical and Inorganic Chemistry and EMaS, Universitat Rovira I Virgili, Carrer de Marcel.lí Domingo s/n, 43007 Tarragona, Spain.
- ICREA, Passeig Lluís Companys 23, 08010 Barcelona, Spain.
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23
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Chen Y, Xie W, Glaser AK, Reder NP, Mao C, Dintzis SM, Vaughan JC, Liu JTC. Rapid pathology of lumpectomy margins with open-top light-sheet (OTLS) microscopy. BIOMEDICAL OPTICS EXPRESS 2019; 10:1257-1272. [PMID: 30891344 PMCID: PMC6420271 DOI: 10.1364/boe.10.001257] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 01/11/2019] [Accepted: 01/25/2019] [Indexed: 05/18/2023]
Abstract
Open-top light-sheet microscopy is a technique that can potentially enable rapid ex vivo inspection of large tissue surfaces and volumes. Here, we have optimized an open-top light-sheet (OTLS) microscope and image-processing workflow for the comprehensive examination of surgical margin surfaces, and have also developed a novel fluorescent analog of H&E staining that is robust for staining fresh unfixed tissues. Our tissue-staining method can be achieved within 2.5 minutes followed by OTLS microscopy of lumpectomy surfaces at a rate of up to 1.5 cm2/minute. An image atlas is presented to show that OTLS image quality surpasses that of intraoperative frozen sectioning and can approximate that of gold-standard H&E histology of formalin-fixed paraffin-embedded (FFPE) tissues. Qualitative evidence indicates that these intraoperative methods do not interfere with downstream post-operative H&E histology and immunohistochemistry. These results should facilitate the translation of OTLS microscopy for intraoperative guidance of lumpectomy and other surgical oncology procedures.
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Affiliation(s)
- Ye Chen
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA
- These authors contributed equally
| | - Weisi Xie
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA
- These authors contributed equally
| | - Adam K. Glaser
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA
| | - Nicholas P. Reder
- Department of Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Chenyi Mao
- Department of Chemistry, University of Washington Seattle, WA 98195, USA
| | - Suzanne M. Dintzis
- Department of Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Joshua C. Vaughan
- Department of Chemistry, University of Washington Seattle, WA 98195, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA
| | - Jonathan T. C. Liu
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA
- Department of Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA
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Kang S, Xu X, Navarro E, Wang Y, Liu JTC, Tichauer KM. Modeling the binding and diffusion of receptor-targeted nanoparticles topically applied on fresh tissue specimens. Phys Med Biol 2019; 64:045013. [PMID: 30654346 DOI: 10.1088/1361-6560/aaff81] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Nanoparticle (NP) contrast agents targeted to cancer biomarkers are increasingly being engineered for the early detection of cancer, guidance of therapy, and monitoring of response. There have been recent efforts to topically apply biomarker-targeted NPs on tissue surfaces to image the expression of cell-surface receptors over large surface areas as a means of evaluating tumor margins to guide wide local excision surgeries. However, diffusion and nonspecific binding of the NPs present challenges for relating NP retention on the tissue surface with the expression of cancer cell receptors. Paired-agent methods that employ a secondary 'control' NP to account for these nonspecific effects can improve cancer detection. Yet these paired-agent methods introduce multidimensional complexity (with tissue staining, rinsing, imaging, and data analysis protocols all being subject to alteration), and could be greatly simplified with accurate, predictive in silico models of NP binding and diffusion. Here, we outline and validate such a model to predict the diffusion, as well as specific and nonspecific binding, of targeted and control NPs topically applied on tissue surfaces. In order to inform the model, in vitro experiments were performed to determine relevant NP diffusion and binding rate constants in tissues. The predictive capacity of the model was validated by comparing simulated distributions of various sizes of NPs in comparison with experimental results. The regression of predicted and experimentally measured concentration-depth profiles yielded <15% error (compared to ~70% error obtained using a previous model of NP diffusion and binding).
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Affiliation(s)
- Soyoung Kang
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98105, United States of America. These authors contributed equally to this work
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25
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Li M, Wu J, Ma M, Feng Z, Mi Z, Rong P, Liu D. Alkyne- and Nitrile-Anchored Gold Nanoparticles for Multiplex SERS Imaging of Biomarkers in Cancer Cells and Tissues. Nanotheranostics 2019; 3:113-119. [PMID: 30899639 PMCID: PMC6427935 DOI: 10.7150/ntno.30924] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 02/05/2019] [Indexed: 01/02/2023] Open
Abstract
Surface-enhanced Raman spectroscopy (SERS) has proven a powerful tool for multiplex detection and imaging due to its narrow peak width and high sensitivity. However, conventional SERS reporters are limited to thiolated compounds, which have limitations such as chemical stability and spectral overlap. Here, we used alkyne- and nitrile-bearing molecules to directly fabricate a set of SERS tags for multiplex imaging. The alkyne and nitrile groups act as both the anchoring points to interact with gold nanoparticle (AuNP) surfaces and the reporters exhibiting strong and nonoverlapping signals in the cellular Raman-silent region. The SERS tags were subsequently modified with different antibodies for multicolor imaging of cancer cells and human breast cancer tissues. The reporters have a simple and readily accessible structure, hence providing new opportunities to prepare SERS nanoprobes
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Affiliation(s)
- Mingmin Li
- College of Chemistry, Research Center for Analytical Sciences, State Key Laboratory of Medicinal Chemical Biology, and Tianjin Key Laboratory of Molecular Recognition and Biosensing, Nankai University, Tianjin 300071, China
| | - Jianzhen Wu
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan 410013, China
| | - Mengtian Ma
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan 410013, China
| | - Zhichao Feng
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan 410013, China
| | - Ze Mi
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan 410013, China
| | - Pengfei Rong
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan 410013, China
| | - Dingbin Liu
- College of Chemistry, Research Center for Analytical Sciences, State Key Laboratory of Medicinal Chemical Biology, and Tianjin Key Laboratory of Molecular Recognition and Biosensing, Nankai University, Tianjin 300071, China
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26
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Folaron MR, Strawbridge RR, Samkoe KS, Gibbs SL, Davis SC. Effect of staining temperature on topical dual stain imaging of tissue specimens for tumor identification. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2019; 10862:108620L. [PMID: 31929674 PMCID: PMC6953721 DOI: 10.1117/12.2509848] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
In the pursuit of reducing re-excision rates in breast conserving surgery, a dual probe specimen staining technique has emerged as a promising approach to identify positive margins during surgery. This approach generally involves staining the tissue with a fluorescent dye targeted to a biomarker of interest, such as a cell surface receptor, and an untargeted counterpart, imaging both dyes and using the two images together to compensate for instrumentation inhomogeneities and non-specific uptake. A growing body of literature suggests that this approach can effectively discriminate tumor and normal tissue in gross fresh specimens in reasonable timeframes. However, the robustness of the staining protocol is still under investigation as all parameters have not been fully evaluated. In this paper, we examine the effect of staining temperature on diagnostic performance. Tumor (overexpressing EGFR) and normal fresh specimens were stained at room temperature or 37 °C and diagnostic performance compared using area under the curve (AUC) from receiver operator characteristic (ROC) analysis. The results suggest that the use of Licor IRDye800CW-labeled anti-EGFR antibody and Licor IRdye680RD-labeled control antibody as the probe pair is not significantly affected by staining temperature, in contrast to our experience with quantum-dot labeled antibodies. The robustness of the technique using these stains is reassuring and simplifies the staining protocol.
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Affiliation(s)
- Margaret R Folaron
- Thayer School of Engineering, Dartmouth College, 14 Engineering Dr., Hanover, NH USA 03755-8001
| | - Rendall R Strawbridge
- Thayer School of Engineering, Dartmouth College, 14 Engineering Dr., Hanover, NH USA 03755-8001
| | - Kimberley S Samkoe
- Thayer School of Engineering, Dartmouth College, 14 Engineering Dr., Hanover, NH USA 03755-8001
- Department of Surgery, Geisel School of Medicine, 1 Rope Ferry Rd., Hanover, NH USA 03755
| | - Summer L Gibbs
- OHSU Center for Spatial Systems Biomedicine, Oregon Health & Science University, Portland, OR 97201
| | - Scott C Davis
- Thayer School of Engineering, Dartmouth College, 14 Engineering Dr., Hanover, NH USA 03755-8001
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27
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Delineating the tumor margin with intraoperative surface-enhanced Raman spectroscopy. Anal Bioanal Chem 2019; 411:3993-4006. [DOI: 10.1007/s00216-019-01577-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Revised: 12/21/2018] [Accepted: 01/04/2019] [Indexed: 10/27/2022]
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28
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Noonan J, Asiala SM, Grassia G, MacRitchie N, Gracie K, Carson J, Moores M, Girolami M, Bradshaw AC, Guzik TJ, Meehan GR, Scales HE, Brewer JM, McInnes IB, Sattar N, Faulds K, Garside P, Graham D, Maffia P. In vivo multiplex molecular imaging of vascular inflammation using surface-enhanced Raman spectroscopy. Am J Cancer Res 2018; 8:6195-6209. [PMID: 30613292 PMCID: PMC6299693 DOI: 10.7150/thno.28665] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2018] [Accepted: 10/18/2018] [Indexed: 01/09/2023] Open
Abstract
Vascular immune-inflammatory responses play a crucial role in the progression and outcome of atherosclerosis. The ability to assess localized inflammation through detection of specific vascular inflammatory biomarkers would significantly improve cardiovascular risk assessment and management; however, no multi-parameter molecular imaging technologies have been established to date. Here, we report the targeted in vivo imaging of multiple vascular biomarkers using antibody-functionalized nanoparticles and surface-enhanced Raman scattering (SERS). Methods: A series of antibody-functionalized gold nanoprobes (BFNP) were designed containing unique Raman signals in order to detect intercellular adhesion molecule 1 (ICAM-1), vascular cell adhesion molecule 1 (VCAM-1) and P-selectin using SERS. Results: SERS and BFNP were utilized to detect, discriminate and quantify ICAM-1, VCAM-1 and P-selectin in vitro on human endothelial cells and ex vivo in human coronary arteries. Ultimately, non-invasive multiplex imaging of adhesion molecules in a humanized mouse model was demonstrated in vivo following intravenous injection of the nanoprobes. Conclusion: This study demonstrates that multiplexed SERS-based molecular imaging can indicate the status of vascular inflammation in vivo and gives promise for SERS as a clinical imaging technique for cardiovascular disease in the future.
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29
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A Raman Imaging Approach Using CD47 Antibody-Labeled SERS Nanoparticles for Identifying Breast Cancer and Its Potential to Guide Surgical Resection. NANOMATERIALS 2018; 8:nano8110953. [PMID: 30463284 PMCID: PMC6265869 DOI: 10.3390/nano8110953] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 11/10/2018] [Accepted: 11/15/2018] [Indexed: 12/31/2022]
Abstract
Raman spectroscopic imaging has shown great promise for improved cancer detection and localization with the use of tumor targeting surface enhanced Raman scattering (SERS) nanoparticles. With the ultrasensitive detection and multiplexing capabilities that SERS imaging has to offer, scientists have been investigating several clinical applications that could benefit from this unique imaging strategy. Recently, there has been a push to develop new image-guidance tools for surgical resection to help surgeons sensitively and specifically identify tumor margins in real time. We hypothesized that SERS nanoparticles (NPs) topically applied to breast cancer resection margins have the potential to provide real-time feedback on the presence of residual cancer in the resection margins during lumpectomy. Here, we explore the ability of SERS nanoparticles conjugated with a cluster of differentiation-47 (CD47) antibody to target breast cancer. CD47 is a cell surface receptor that has recently been shown to be overexpressed on several solid tumor types. The binding potential of our CD47-labeled SERS nanoparticles was assessed using fluorescence assisted cell sorting (FACS) on seven different human breast cancer cell lines, some of which were triple negative (negative expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER2)). Xenograft mouse models were also used to assess the ability of our Raman imaging system to identify tumor from normal tissue. A ratiometric imaging strategy was used to quantify specific vs. nonspecific probe binding, resulting in improved tumor-to-background ratios. FACS analysis showed that CD47-labeled SERS nanoparticles bound to seven different breast cancer cell lines at levels 12-fold to 70-fold higher than isotype control-labeled nanoparticles (p < 0.01), suggesting that our CD47-targeted nanoparticles actively bind to CD47 on breast cancer cells. In a mouse xenograft model of human breast cancer, topical application of CD47-targeted nanoparticles to excised normal and cancer tissue revealed increased binding of CD47-targeted nanoparticles on tumor relative to normal adjacent tissue. The findings of this study support further investigation and suggest that SERS nanoparticles topically applied to breast cancer could guide more complete surgical resection during lumpectomy.
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30
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Davis RM, Kiss B, Trivedi DR, Metzner TJ, Liao JC, Gambhir SS. Surface-Enhanced Raman Scattering Nanoparticles for Multiplexed Imaging of Bladder Cancer Tissue Permeability and Molecular Phenotype. ACS NANO 2018; 12:9669-9679. [PMID: 30203645 PMCID: PMC6202635 DOI: 10.1021/acsnano.8b03217] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2018] [Accepted: 08/28/2018] [Indexed: 05/20/2023]
Abstract
Bladder cancer has the highest recurrence rate of all cancers due in part to inadequate transurethral resection. Inadequate resection is caused by the inability of cystoscopes to detect invisible lesions during the resection procedure. To improve detection and resection of nonmuscle invasive bladder cancer, we quantified the ability of a surface-enhanced Raman nanoparticle and endoscope system to classify bladder tissue as normal or cancerous. Both antibody-based (active) and tissue permeability-based (passive) targeting mechanisms were evaluated by topically applying nanoparticles to ex vivo human bladder tissue samples. Multiplexed molecular imaging of CD47 and Carbonic Anhydrase 9 tumor proteins gave a receiver operating characteristic area under the curve (ROC AUC of 0.93 (0.75, 1.00). Furthermore, passively targeted nanoparticles enabled tissue classification with an ROC AUC of 0.93 (0.73, 1.00). Passively targeted nanoparticles penetrated 5-fold deeper and bound to tumor tissue at 3.3-fold higher concentrations in cancer compared to normal bladder urothelium, suggesting the existence of an enhanced surface permeability and retention effect in human bladder cancer.
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Affiliation(s)
- Ryan M. Davis
- Department
of Radiology and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California 94305, United States
| | - Bernhard Kiss
- Department
of Radiology and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California 94305, United States
- Department
of Urology, Stanford University School of
Medicine, Stanford, California 94305, United States
| | - Dharati R. Trivedi
- Department
of Urology, Stanford University School of
Medicine, Stanford, California 94305, United States
- Veterans
Affairs, Palo Alto Health Care System, Palo Alto, California 94550, United States
| | - Thomas J. Metzner
- Department
of Urology, Stanford University School of
Medicine, Stanford, California 94305, United States
| | - Joseph C. Liao
- Department
of Urology, Stanford University School of
Medicine, Stanford, California 94305, United States
- Veterans
Affairs, Palo Alto Health Care System, Palo Alto, California 94550, United States
| | - Sanjiv S. Gambhir
- Department
of Radiology and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California 94305, United States
- E-mail:
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31
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Zhang K, Liu X, Man B, Yang C, Zhang C, Liu M, Zhang Y, Liu L, Chen C. Label-free and stable serum analysis based on Ag-NPs/PSi surface-enhanced Raman scattering for noninvasive lung cancer detection. BIOMEDICAL OPTICS EXPRESS 2018; 9:4345-4358. [PMID: 30615731 PMCID: PMC6157787 DOI: 10.1364/boe.9.004345] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 07/25/2018] [Accepted: 08/10/2018] [Indexed: 05/29/2023]
Abstract
Surface-enhanced Raman scattering (SERS) has a broad application prospect in the field of tumor detection owing to its ultrahigh detective sensitivity. However, SERS analysis of serum remain a challenge in terms of repeatability and stability due to the maldistribution of the silver nanoparticles (Ag-NPs)-serum. With the aim to make up for this shortcoming, we report a new method for obtaining stable serum Raman signals utilizing the ordered arrays of pyramidal silicon (PSi) and Ag-NPs. We prove the practicability of this method by detecting the samples of serum from 50 lung cancer patients and 50 normal healthy people. Principal component analysis (PCA) of the serum SERS spectra shows that the spectral data of the two sample groups can form obvious and completely separated clusters. The receiver operating characteristic curve provides the sensitivity (100%) and specificity (90%) from the PCA-LDA method. This research indicates that a stable and label-free analysis technique of serum SERS based on Ag-NPs/PSi and PCA-LDA is promising for noninvasive lung cancer diagnoses.
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Affiliation(s)
- Kun Zhang
- Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Xijun Liu
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated with Shandong University, Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Baoyuan Man
- Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Cheng Yang
- Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Chao Zhang
- Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Mei Liu
- Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Yongheng Zhang
- Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
| | - Lisheng Liu
- Key Laboratory of Animal Resistance Research, College of Life Science, Shandong Normal University, Jinan 250014, China
| | - Chuansong Chen
- Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China
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32
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Abstract
The development of novel nanoparticles consisting of both diagnostic and therapeutic components has increased over the past decade. These "theranostic" nanoparticles have been tailored toward one or more types of imaging modalities and have been developed for optical imaging, magnetic resonance imaging, ultrasound, computed tomography, and nuclear imaging comprising both single-photon computed tomography and positron emission tomography. In this review, we focus on state-of-the-art theranostic nanoparticles that are capable of both delivering therapy and self-reporting/tracking disease through imaging. We discuss challenges and the opportunity to rapidly adjust treatment for individualized medicine.
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Affiliation(s)
- Cristina Zavaleta
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
| | - Dean Ho
- School of Dentistry, University of California, Los Angeles, Los Angeles, CA, USA
- Weintraub Center for Reconstructive Biotechnology, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Eun Ji Chung
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
- Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, USA
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33
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Detection of Intracellular Gold Nanoparticles: An Overview. MATERIALS 2018; 11:ma11060882. [PMID: 29795017 PMCID: PMC6025619 DOI: 10.3390/ma11060882] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 05/14/2018] [Accepted: 05/21/2018] [Indexed: 01/10/2023]
Abstract
Photothermal therapy (PTT) takes advantage of unique properties of gold nanoparticles (AuNPs) (nanospheres, nanoshells (AuNSs), nanorods (AuNRs)) to destroy cancer cells or tumor tissues. This is made possible thanks principally to both to the so-called near-infrared biological transparency window, characterized by wavelengths falling in the range 700–1100 nm, where light has its maximum depth of penetration in tissue, and to the efficiency of cellular uptake mechanisms of AuNPs. Consequently, the possible identification of intracellular AuNPs plays a key role for estimating the effectiveness of PTT treatments. Here, we review the recognized detection techniques of such intracellular probes with a special emphasis to the exploitation of near-infrared biological transparency window.
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34
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Huang X, Song J, Yung BC, Huang X, Xiong Y, Chen X. Ratiometric optical nanoprobes enable accurate molecular detection and imaging. Chem Soc Rev 2018; 47:2873-2920. [PMID: 29568836 PMCID: PMC5926823 DOI: 10.1039/c7cs00612h] [Citation(s) in RCA: 448] [Impact Index Per Article: 74.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Exploring and understanding biological and pathological changes are of great significance for early diagnosis and therapy of diseases. Optical sensing and imaging approaches have experienced major progress in this field. Particularly, an emergence of various functional optical nanoprobes has provided enhanced sensitivity, specificity, targeting ability, as well as multiplexing and multimodal capabilities due to improvements in their intrinsic physicochemical and optical properties. However, one of the biggest challenges of conventional optical nanoprobes is their absolute intensity-dependent signal readout, which causes inaccurate sensing and imaging results due to the presence of various analyte-independent factors that can cause fluctuations in their absolute signal intensity. Ratiometric measurements provide built-in self-calibration for signal correction, enabling more sensitive and reliable detection. Optimizing nanoprobe designs with ratiometric strategies can surmount many of the limitations encountered by traditional optical nanoprobes. This review first elaborates upon existing optical nanoprobes that exploit ratiometric measurements for improved sensing and imaging, including fluorescence, surface enhanced Raman scattering (SERS), and photoacoustic nanoprobes. Next, a thorough discussion is provided on design strategies for these nanoprobes, and their potential biomedical applications for targeting specific biomolecule populations (e.g. cancer biomarkers and small molecules with physiological relevance), for imaging the tumor microenvironment (e.g. pH, reactive oxygen species, hypoxia, enzyme and metal ions), as well as for intraoperative image guidance of tumor-resection procedures.
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Affiliation(s)
- Xiaolin Huang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, P. R. China. and Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.
| | - Jibin Song
- Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA. and MOE Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou 350108, P. R. China
| | - Bryant C Yung
- Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.
| | - Xiaohua Huang
- Department of Chemistry, University of Memphis, 213 Smith Chemistry Bldg., Memphis, TN 38152, USA
| | - Yonghua Xiong
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, P. R. China.
| | - Xiaoyuan Chen
- Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, Maryland 20892, USA.
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35
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Wang Y“W, Yang Q, Kang S, Wall MA, Liu JTC. High-speed Raman-encoded molecular imaging of freshly excised tissue surfaces with topically applied SERRS nanoparticles. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-8. [PMID: 29658229 PMCID: PMC5899991 DOI: 10.1117/1.jbo.23.4.046005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2018] [Accepted: 03/26/2018] [Indexed: 05/03/2023]
Abstract
Surface-enhanced Raman scattering (SERS) nanoparticles (NPs) are increasingly being engineered for a variety of disease-detection and treatment applications. For example, we have previously developed a fiber-optic Raman-encoded molecular imaging (REMI) system for spectral imaging of biomarker-targeted SERS NPs topically applied on tissue surfaces to identify residual tumors at surgical margins. Although accurate tumor detection was achieved, the commercial SERS NPs used in our previous studies lacked the signal strength to enable high-speed imaging with high pixel counts (large fields of view and/or high spatial resolution), which limits their use for certain time-constrained clinical applications. As a solution, we explored the use of surface-enhanced resonant Raman scattering (SERRS) NPs to enhance imaging speeds. The SERRS NPs were synthesized de novo, and then conjugated to HER2 antibodies to achieve high binding affinity, as validated by flow cytometry. Under identical tissue-staining and imaging conditions, the targeted SERRS NPs enabled reliable identification of HER2-overexpressed tumor xenografts with 50-fold-enhanced imaging speed compared with our standard targeted SERS NPs. This enables our REMI system to image tissue surfaces at a rate of 150 cm2 per minute at a spatial resolution of 0.5 mm.
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Affiliation(s)
- Yu “Winston” Wang
- University of Washington, Department of Mechanical Engineering, Seattle, Washington, United States
- Address all correspondence to: Yu “Winston” Wang, ; Jonathan T. C. Liu,
| | - Qian Yang
- University of Washington, Department of Mechanical Engineering, Seattle, Washington, United States
- Chengdu Medical College, Collaborative Innovation Center of Sichuan for Elderly Care and Health, School of Pharmacy, Chengdu, China
| | - Soyoung Kang
- University of Washington, Department of Mechanical Engineering, Seattle, Washington, United States
| | - Matthew A. Wall
- University of Washington, Department of Mechanical Engineering, Seattle, Washington, United States
- Institute for Systems Biology, Seattle, Washington, United States
| | - Jonathan T. C. Liu
- University of Washington, Department of Mechanical Engineering, Seattle, Washington, United States
- University of Washington, School of Medicine, Department of Pathology, Seattle, Washington, United States
- Address all correspondence to: Yu “Winston” Wang, ; Jonathan T. C. Liu,
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36
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Kang S, Wang Y“W, Xu X, Navarro E, Tichauer KM, Liu JT. Microscopic investigation of" topically applied nanoparticles for molecular imaging of fresh tissue surfaces. JOURNAL OF BIOPHOTONICS 2018; 11:e201700246. [PMID: 29227576 PMCID: PMC5903997 DOI: 10.1002/jbio.201700246] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Accepted: 12/07/2017] [Indexed: 05/04/2023]
Abstract
Previous studies have shown that functionalized nanoparticles (NPs) topically applied on fresh tissues are able to rapidly target cell-surface protein biomarkers of cancer. Furthermore, studies have shown that a paired-agent approach, in which an untargeted NP is co-administered with a panel of targeted NPs, controls for the nonspecific behavior of the NPs, enabling quantitative imaging of biomarker expression. However, given the complexities in nonspecific accumulation, diffusion, and chemical binding of targeted NPs in tissues, studies are needed to better understand these processes at the microscopic scale. Here, fresh tissues were stained with a paired-agent approach, frozen, and sectioned to image the depth-dependent accumulation of targeted and untargeted NPs. The ratio of targeted-to-untargeted NP concentrations-a parameter used to distinguish between tumor and benign tissues-was found to diminish with increasing NP diffusion depths due to nonspecific accumulation and poor washout. It was then hypothesized and experimentally demonstrated that larger NPs would exhibit less diffusion below tissue surfaces, enabling higher targeted-to-untargeted NP ratios. In summary, these methods and investigations have enabled the design of NP agents with improved sensitivity and contrast for rapid molecular imaging of fresh tissues.
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Affiliation(s)
- Soyoung Kang
- Department of Mechanical Engineering, University of Washington, Seattle, WA
| | - Yu “Winston” Wang
- Department of Mechanical Engineering, University of Washington, Seattle, WA
| | - Xiaochun Xu
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL
| | - Eric Navarro
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL
| | - Kenneth M. Tichauer
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL
| | - Jonathan T.C. Liu
- Department of Mechanical Engineering, University of Washington, Seattle, WA
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37
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Kim YI, Jeong S, Jun BH, Lee YS, Lee YS, Jeong DH, Lee DS. Endoscopic imaging using surface-enhanced Raman scattering. EUROPEAN JOURNAL OF NANOMEDICINE 2017. [DOI: 10.1515/ejnm-2017-0005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AbstractIn this review, we assessed endoscopic imaging using surface-enhanced Raman scattering (SERS). As white-light endoscopy, the current standard for gastrointestinal endoscopy, is limited to morphology, Raman endoscopy using surface-enhanced Raman scattering nanoparticles (SERS endoscopy) was introduced as one of the novel functional modalities. SERS endoscopy has multiplex capability and high sensitivity with low autofluorescence and photobleaching. As a result, multiple molecular characteristics of the lesion can be accurately evaluated in real time while performing endoscopy using SERS probes and appropriate instrumentation. Especially, recently developed dual modality of fluorescence and SERS endoscopy offers easy localization with identification of multiple target molecules. For clinical use of SERS endoscopy in the future, problems of limited field of view and cytotoxicity should be addressed by fusion imaging, topical administration, and non-toxic coating of nanoparticles. We expect SERS endoscopic imaging would be an essential endoscopic technique for diagnosis of cancerous lesions, assessment of resection margins and evaluation of therapeutic responses.
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38
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Barth CW, Schaefer JM, Rossi VM, Davis SC, Gibbs SL. Optimizing fresh specimen staining for rapid identification of tumor biomarkers during surgery. Theranostics 2017; 7:4722-4734. [PMID: 29187899 PMCID: PMC5706095 DOI: 10.7150/thno.21527] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 09/18/2017] [Indexed: 12/26/2022] Open
Abstract
RATIONALE Positive margin status due to incomplete removal of tumor tissue during breast conserving surgery (BCS) is a prevalent diagnosis usually requiring a second surgical procedure. These follow-up procedures increase the risk of morbidity and delay the use of adjuvant therapy; thus, significant efforts are underway to develop new intraoperative strategies for margin assessment to eliminate re-excision procedures. One strategy under development uses topical application of dual probe staining and a fluorescence imaging strategy termed dual probe difference specimen imaging (DDSI). DDSI uses a receptor-targeted fluorescent probe and an untargeted, spectrally-distinct fluorescent companion imaging agent topically applied to fresh resected specimens, where the fluorescence from each probe is imaged and a normalized difference image is computed to identify tumor-target distribution in the specimen margins. While previous reports suggested this approach is a promising new tool for surgical guidance, advancing the approach into the clinic requires methodical protocol optimization and further validation. METHODS In the present study, we used breast cancer xenografts and receiver operator characteristic (ROC) curve analysis to evaluate a wide range of staining and imaging parameters, and completed a prospective validation study on multiple tumor phenotypes with different target expression. Imaging fluorophore-probe pair, concentration, and incubation times were systematically optimized using n=6 tissue specimen replicates per staining condition. Resulting tumor vs. normal adipose tissue diagnostic performance were reported and staining patterns were validated via receptor specific immunohistochemistry colocalization. Optimal staining conditions were tested in receptor positive and receptor negative cohorts to confirm specificity. RESULTS The optimal staining conditions were found to be a one minute stain in a 200 nM probe solution (area under the curve (AUC) = 0.97), where the choice of fluorescent label combination did not significantly affect the diagnostic performance. Using an optimal threshold value determined from ROC curve analysis on a training data set, a prospective study on xenografts resulted in an AUC=0.95 for receptor positive tumors and an AUC = 0.50 for receptor negative (control) tumors, confirming the diagnostic performance of this novel imaging technique. CONCLUSIONS DDSI provides a robust, molecularly specific imaging methodology for identifying tumor tissue over benign mammary adipose tissue. Using a dual probe imaging strategy, nonspecific accumulation of targeted probe was corrected for and tumor vs. normal tissue diagnostic potential was improved, circumventing difficulties with ex vivo tissue specimen staining and allowing for rapid clinical translation of this promising technology for tumor margin detection during BCS procedures.
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Affiliation(s)
| | | | - Vincent M. Rossi
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755
| | - Scott C. Davis
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755
| | - Summer L. Gibbs
- Biomedical Engineering Department
- Knight Cancer Institute
- OHSU Center for Spatial Systems Biomedicine, Oregon Health & Science University, Portland, OR 97201
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39
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Shi H, Chen N, Su Y, Wang H, He Y. Reusable Silicon-Based Surface-Enhanced Raman Scattering Ratiometric Aptasensor with High Sensitivity, Specificity, and Reproducibility. Anal Chem 2017; 89:10279-10285. [DOI: 10.1021/acs.analchem.7b01881] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Huayi Shi
- Laboratory
of Nanoscale Biochemical Analysis,
Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Institute of Functional Nano and Soft Materials and Collaborative
Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou, Jiangsu 215123, China
| | - Na Chen
- Laboratory
of Nanoscale Biochemical Analysis,
Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Institute of Functional Nano and Soft Materials and Collaborative
Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou, Jiangsu 215123, China
| | - Yuanyuan Su
- Laboratory
of Nanoscale Biochemical Analysis,
Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Institute of Functional Nano and Soft Materials and Collaborative
Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou, Jiangsu 215123, China
| | - Houyu Wang
- Laboratory
of Nanoscale Biochemical Analysis,
Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Institute of Functional Nano and Soft Materials and Collaborative
Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou, Jiangsu 215123, China
| | - Yao He
- Laboratory
of Nanoscale Biochemical Analysis,
Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Institute of Functional Nano and Soft Materials and Collaborative
Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou, Jiangsu 215123, China
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40
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Wang YW, Reder NP, Kang S, Glaser AK, Liu JTC. Multiplexed Optical Imaging of Tumor-Directed Nanoparticles: A Review of Imaging Systems and Approaches. Nanotheranostics 2017; 1:369-388. [PMID: 29071200 PMCID: PMC5647764 DOI: 10.7150/ntno.21136] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Accepted: 07/08/2017] [Indexed: 12/18/2022] Open
Abstract
In recent decades, various classes of nanoparticles have been developed for optical imaging of cancers. Many of these nanoparticles are designed to specifically target tumor sites, and specific cancer biomarkers, to facilitate the visualization of tumors. However, one challenge for accurate detection of tumors is that the molecular profiles of most cancers vary greatly between patients as well as spatially and temporally within a single tumor mass. To overcome this challenge, certain nanoparticles and imaging systems have been developed to enable multiplexed imaging of large panels of cancer biomarkers. Multiplexed molecular imaging can potentially enable sensitive tumor detection, precise delineation of tumors during interventional procedures, and the prediction/monitoring of therapy response. In this review, we summarize recent advances in systems that have been developed for the imaging of optical nanoparticles that can be heavily multiplexed, which include surface-enhanced Raman-scattering nanoparticles (SERS NPs) and quantum dots (QDs). In addition to surveying the optical properties of these various types of nanoparticles, and the most-popular multiplexed imaging approaches that have been employed, representative preclinical and clinical imaging studies are also highlighted.
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Affiliation(s)
- Yu Winston Wang
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA
| | - Nicholas P Reder
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA.,Department of Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Soyoung Kang
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA
| | - Adam K Glaser
- 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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41
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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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42
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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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43
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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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44
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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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45
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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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