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Fernandes TCD, Lima E, Boto RE, Ferreira D, Fernandes JR, Almeida P, Ferreira LFV, Silva AM, Reis LV. In vitro phototherapeutic effects of indolenine-based mono- and dithiosquaraine cyanine dyes against Caco-2 and HepG2 human cancer cell lines. Photodiagnosis Photodyn Ther 2020; 31:101844. [PMID: 32485406 DOI: 10.1016/j.pdpdt.2020.101844] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 05/15/2020] [Accepted: 05/26/2020] [Indexed: 12/14/2022]
Abstract
Photodynamic therapy is a noninvasive approach for the treatment of oncological and nononcological diseases which has attempted to address the shortcomings and disadvantages of conventional cancer therapies. Given the scarcity of photosensitizers that exhibit desirable characteristics for its potential application in this therapeutic strategy, the main aims of this work were the study of the photophysical and photochemical properties, and the in vitro photobiological activity of several squaraine cyanine dyes. Thus, herein, the synthesis of indolenine-based N-methyl and N-ethyl mono- and dithiosquaraine dyes, the study of their spectroscopical properties, aggregation behavior, photodegradation and singlet oxygen production ability, and the further application of the previously synthesized dyes in colorectal adenocarninoma and hepatocellular carcinoma cell lines to evaluate their phototherapeutic effects, are described. Thionation significantly favored the ability to singlet oxygen production, and moderate photostability was observed for squaraine and monothionated dyes. Squaraine and monothiosquaraine cyanine dyes showed high promise within the tested concentration range regarding their potential application as cancer photodynamic therapy photosensitizers. Squaraine dyes' monothionation resulted in the preparation of compounds with poor photocytotoxicity, which was an undesirable effect on their phototherapeutic application.
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Affiliation(s)
- Tânia C D Fernandes
- Chemistry Centre of Vila Real (CQ-VR), University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5001-801, Vila Real, Portugal; Centre for Research and Technology of Agro-Environmental and Biological Sciences (CITAB-UTAD), University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5001-801, Vila Real, Portugal
| | - Eurico Lima
- Chemistry Centre of Vila Real (CQ-VR), University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5001-801, Vila Real, Portugal
| | - Renato E Boto
- Health Sciences Research Centre (CICS-UBI), University of Beira Interior, Av. Infante D. Henrique, 6201-506 Covilhã, Portugal; Chemistry Department, University of Beira Interior, Rua Marquês de Ávila e Bolama, 6201-001, Covilhã, Portugal
| | - Diana Ferreira
- Instituto de Bioengenharia e Biociências (iBB), Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001, Lisboa, Portugal
| | - José R Fernandes
- Chemistry Centre of Vila Real (CQ-VR), University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5001-801, Vila Real, Portugal; Physical Department, University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5001-801, Vila Real, Portugal
| | - Paulo Almeida
- Health Sciences Research Centre (CICS-UBI), University of Beira Interior, Av. Infante D. Henrique, 6201-506 Covilhã, Portugal; Chemistry Department, University of Beira Interior, Rua Marquês de Ávila e Bolama, 6201-001, Covilhã, Portugal
| | - Luis F V Ferreira
- Instituto de Bioengenharia e Biociências (iBB), Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001, Lisboa, Portugal
| | - Amélia M Silva
- Centre for Research and Technology of Agro-Environmental and Biological Sciences (CITAB-UTAD), University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5001-801, Vila Real, Portugal; Department of Biology and Environment, University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5001-801, Vila Real, Portugal.
| | - Lucinda V Reis
- Chemistry Centre of Vila Real (CQ-VR), University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5001-801, Vila Real, Portugal; Chemistry Department, University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5001-801, Vila Real, Portugal.
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Spring BQ, Lang RT, Kercher EM, Rizvi I, Wenham RM, Conejo-Garcia JR, Hasan T, Gatenby RA, Enderling H. Illuminating the Numbers: Integrating Mathematical Models to Optimize Photomedicine Dosimetry and Combination Therapies. FRONTIERS IN PHYSICS 2019; 7:46. [PMID: 31123672 PMCID: PMC6529192 DOI: 10.3389/fphy.2019.00046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Cancer photomedicine offers unique mechanisms for inducing local tumor damage with the potential to stimulate local and systemic anti-tumor immunity. Optically-active nanomedicine offers these features as well as spatiotemporal control of tumor-focused drug release to realize synergistic combination therapies. Achieving quantitative dosimetry is a major challenge, and dosimetry is fundamental to photomedicine for personalizing and tailoring therapeutic regimens to specific patients and anatomical locations. The challenge of dosimetry is perhaps greater for photomedicine than many standard therapies given the complexity of light delivery and light-tissue interactions as well as the resulting photochemistry responsible for tumor damage and drug-release, in addition to the usual intricacies of therapeutic agent delivery. An emerging multidisciplinary approach in oncology utilizes mathematical and computational models to iteratively and quantitively analyze complex dosimetry, and biological response parameters. These models are parameterized by preclinical and clinical observations and then tested against previously unseen data. Such calibrated and validated models can be deployed to simulate treatment doses, protocols, and combinations that have not yet been experimentally or clinically evaluated and can provide testable optimal treatment outcomes in a practical workflow. Here, we foresee the utility of these computational approaches to guide adaptive therapy, and how mathematical models might be further developed and integrated as a novel methodology to guide precision photomedicine.
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Affiliation(s)
- Bryan Q. Spring
- Translational Biophotonics Cluster, Northeastern University, Boston, MA, United States
- Department of Physics, Northeastern University, Boston, MA, United States
- Department of Bioengineering, Northeastern University, Boston, MA, United States
| | - Ryan T. Lang
- Translational Biophotonics Cluster, Northeastern University, Boston, MA, United States
- Department of Physics, Northeastern University, Boston, MA, United States
| | - Eric M. Kercher
- Translational Biophotonics Cluster, Northeastern University, Boston, MA, United States
- Department of Physics, Northeastern University, Boston, MA, United States
| | - Imran Rizvi
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, United States
- Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Robert M. Wenham
- Department of Gynecologic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
| | - José R. Conejo-Garcia
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
| | - Tayyaba Hasan
- Wellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Division of Health Sciences and Technology, Harvard University and Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Robert A. Gatenby
- Department of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
- Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
| | - Heiko Enderling
- Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
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Gao S, Zhang M, Zhu X, Qu Z, Shan T, Xie X, Wang Y, Feng X. Apoptotic effects of Photofrin-Diomed 630-PDT on SHEEC human esophageal squamous cancer cells. Int J Clin Exp Med 2015; 8:15098-15107. [PMID: 26628993 PMCID: PMC4658882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Accepted: 08/27/2015] [Indexed: 06/05/2023]
Abstract
Photodynamic therapy (PDT) using photofrin-II is a clinically effective treatment for both non-neoplastic and neoplastic diseases. Herein, we performed an in vitro experiment to study the anti-tumor effect and mechanisms of photofrin-II mediated PDT for esophageal squamous cell carcinoma (ESCC) cell line, SHEEC. In this study, human ESCC cell line SHEEC and parental normal cell line SHEE were used. The anti-tumor effect of PDT was determined by evaluating cell viability using CCK-8 assay, apoptosis and generation of reactive oxygen species (ROS). PDT induced significant apoptosis in SHEEC and SHEE cells in a time- and photofrin-II dose-dependent manner. Furthermore, PDT treatment induced significant death of SHEEC, instead of SHEE cells. The apoptotic outcome was accompanied by concurrent generation of ROS. In summary, PDT shed light on therapy of ESCC, functioning as a useful tool for ESCC clinical treatment, providing a better understanding of Photofrin-Diomed 630-PDT in SHEEC cells.
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Affiliation(s)
- Shegan Gao
- Department of Oncology, The First Affiliated Hospital of Henan University of Science and Technology No. 24 Jinghua Road, Luoyang, Henan, China
| | - Mengxi Zhang
- Department of Oncology, The First Affiliated Hospital of Henan University of Science and Technology No. 24 Jinghua Road, Luoyang, Henan, China
| | - Xiaojuan Zhu
- Department of Oncology, The First Affiliated Hospital of Henan University of Science and Technology No. 24 Jinghua Road, Luoyang, Henan, China
| | - Zhifeng Qu
- Department of Oncology, The First Affiliated Hospital of Henan University of Science and Technology No. 24 Jinghua Road, Luoyang, Henan, China
| | - Tanyou Shan
- Department of Oncology, The First Affiliated Hospital of Henan University of Science and Technology No. 24 Jinghua Road, Luoyang, Henan, China
| | - Xuanhu Xie
- Department of Oncology, The First Affiliated Hospital of Henan University of Science and Technology No. 24 Jinghua Road, Luoyang, Henan, China
| | - Ying Wang
- Department of Oncology, The First Affiliated Hospital of Henan University of Science and Technology No. 24 Jinghua Road, Luoyang, Henan, China
| | - Xiaoshan Feng
- Department of Oncology, The First Affiliated Hospital of Henan University of Science and Technology No. 24 Jinghua Road, Luoyang, Henan, China
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