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Sun J, Wang J, Hu W, Wang Y, Zhang Q, Hu X, Chou T, Zhang B, Gallaro C, Halloran M, Liang L, Ren L, Wang H. A Porous Bimetallic Au@Pt Core-Shell Oxygen Generator to Enhance Hypoxia-Dampened Tumor Chemotherapy Synergized with NIR-II Photothermal Therapy. ACS NANO 2022; 16:10711-10728. [PMID: 35838683 DOI: 10.1021/acsnano.2c02528] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The characteristic hypoxia of solid tumors and inadequate oxygen supply become a key causation of the resistance to chemotherapy in cancer treatment. Herein, a bimetallic oxygen nanogenerator, i.e., porous Au@Pt core-shell nanostructures, is particularly developed to reduce the multidrug resistance by oxygenating the tumor along with synergistic chemo-photothermal therapy for efficient tumor eradication. The porous platinum (Pt) shell was able to catalyze oxygen generation from endogenous hydrogen peroxide in the tumor, reducing the exocytosis of doxorubicin (DOX) via suppressed expression of hypoxia-inducible factor-1α, multidrug resistance gene 1, and P-glycoprotein. The strong absorbance of Au@Pt nanostructures in NIR window II enabled NIR-II photothermal therapy. Further incorporation of DOX into the mesopores of Au@Pt nanostructures with the assistance of phase change materials (PCM) led to the formulation of Au@Pt-DOX-PCM-PEG nanotherapeutics for NIR-II-activated chemotherapy. This work presents an efficient H2O2-driven oxygenerator for enhanced hypoxia-dampened chemotherapy and NIR-II photothermal therapy.
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Affiliation(s)
- Jingyu Sun
- Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, New Jersey 07030, United States
| | - Jinping Wang
- Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, New Jersey 07030, United States
- Key Laboratory of Molecular Biophysics of Hebei Province, Institute of Biophysics, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, 300401, Tianjin, People's Republic of China
| | - Wei Hu
- Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, New Jersey 07030, United States
| | - Yuhao Wang
- Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, New Jersey 07030, United States
| | - Qiang Zhang
- Department of Biomaterials, Key Laboratory of Biomedical Engineering of Fujian Province, State Key Lab of Physical Chemistry of Solid Surface, College of Materials, Xiamen University, Xiamen, Fujian 361005, People's Republic of China
| | - Xiaotong Hu
- Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, New Jersey 07030, United States
| | - Tsengming Chou
- Laboratory for Multiscale Imaging, Stevens Institute of Technology, Hoboken, New Jersey 07030, United States
| | - Beilu Zhang
- Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, New Jersey 07030, United States
| | - Cosmo Gallaro
- Department of Physics, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, New Jersey 07030, United States
| | - Meghan Halloran
- Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, New Jersey 07030, United States
| | - Lyu Liang
- Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, New Jersey 07030, United States
| | - Lei Ren
- Department of Biomaterials, Key Laboratory of Biomedical Engineering of Fujian Province, State Key Lab of Physical Chemistry of Solid Surface, College of Materials, Xiamen University, Xiamen, Fujian 361005, People's Republic of China
| | - Hongjun Wang
- Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, New Jersey 07030, United States
- Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, New Jersey 07030, United States
- Center for Healthcare Innovation, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, New Jersey 07030, United States
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Song J, Peng J, Liu X, Zhou D, Yang C, Luan J. Diagnosis and Treatment of Non-Small Cell Lung Cancer: Adenosine Triphosphate Tumor Chemosensitivity Assay. INT J PHARMACOL 2022. [DOI: 10.3923/ijp.2022.842.849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Wang J, Zhang B, Sun J, Wang Y, Wang H. Nanomedicine-Enabled Modulation of Tumor Hypoxic Microenvironment for Enhanced Cancer Therapy. ADVANCED THERAPEUTICS 2020; 3:1900083. [PMID: 34277929 PMCID: PMC8281934 DOI: 10.1002/adtp.201900083] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Indexed: 01/21/2023]
Abstract
Hypoxia is a common condition of solid tumors that is mainly caused by enhanced tumor proliferative activity and dysfunctional vasculature. In the treatment of hypoxic human solid tumors, many conventional therapeutic approaches (e.g., oxygen-dependent photodynamic therapy, anticancer drug-based chemotherapy or X-ray induced radiotherapy) become considerably less effective or ineffective. In recent years, various strategies have been explored to deliver or generate oxygen inside solid tumors to overcome tumorous hypoxia and show promising evidence to improve the antitumor efficiency. In this review, the extrinsic regulation of tumor hypoxia via nanomaterial delivery is discussed followed by a summary of the mechanisms through which the modulated tumor hypoxic microenvironment improves therapeutic efficacy. The review concludes with future perspectives, to specifically address the translation of nanomaterial-based therapeutic strategies for clinical applications.
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Affiliation(s)
- Jinping Wang
- Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA
| | - Beilu Zhang
- Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, NJ 07030, USA
| | - Jingyu Sun
- Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, NJ 07030, USA
| | - Yuhao Wang
- Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA
| | - Hongjun Wang
- Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA; Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, NJ 07030, USA
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Pandey SK, Yadav S, Goel Y, Singh SM. Cytotoxic action of acetate on tumor cells of thymic origin: Role of MCT-1, pH homeostasis and altered cell survival regulation. Biochimie 2019; 157:1-9. [DOI: 10.1016/j.biochi.2018.10.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Accepted: 10/15/2018] [Indexed: 02/07/2023]
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Predicting Tumor Sensitivity to Chemotherapeutic Drugs in Oral Squamous Cell Carcinoma Patients. Sci Rep 2018; 8:15545. [PMID: 30341378 PMCID: PMC6195614 DOI: 10.1038/s41598-018-33998-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 10/10/2018] [Indexed: 02/01/2023] Open
Abstract
Oral Squamous Cell Carcinoma (OSCC) patients respond poorly to chemotherapy. We analyzed the expression of 11 drug response-related genes in 31 OSCC biopsies, collected prior to any treatment, using custom-designed PCR array. Further, we investigated the drug response pattern of selected anticancer drugs by BH3 (Bcl2 Homology-3) profiling in the primary cells isolated from OSCC tissues. Then, we correlated the results of drug-response gene expression pattern with apoptotic priming to predict tumor response to chemotherapy. The best performing drug (BPD) and response differences (RD) between the drugs were identified using statistical methods to select the best choice of drug in a personalized manner. Based on the correlation, we classified OSCC tumors as sensitive (13 tumors), moderately responsive (16 tumors) or resistant (2 tumors) to chemotherapy. We found that up-regulation of genes linked with drug resistance facilitates survival of tumor samples, which was revealed by the percentage of apoptotic priming. Moreover, we found that paclitaxel-induced 40–45% apoptotic priming compared to other drugs. Average response difference (RD) analysis showed that 80% of tumors responded well to paclitaxel as compared to other drugs studied. Therefore, gene expression analysis with BH3 profiling reveals drug sensitivity that could be translated for drug selection before treatment.
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