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Haider M, Elsherbeny A, Pittalà V, Consoli V, Alghamdi MA, Hussain Z, Khoder G, Greish K. Nanomedicine Strategies for Management of Drug Resistance in Lung Cancer. Int J Mol Sci 2022; 23:1853. [PMID: 35163777 PMCID: PMC8836587 DOI: 10.3390/ijms23031853] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 02/01/2022] [Accepted: 02/01/2022] [Indexed: 12/12/2022] Open
Abstract
Lung cancer (LC) is one of the leading causes of cancer occurrence and mortality worldwide. Treatment of patients with advanced and metastatic LC presents a significant challenge, as malignant cells use different mechanisms to resist chemotherapy. Drug resistance (DR) is a complex process that occurs due to a variety of genetic and acquired factors. Identifying the mechanisms underlying DR in LC patients and possible therapeutic alternatives for more efficient therapy is a central goal of LC research. Advances in nanotechnology resulted in the development of targeted and multifunctional nanoscale drug constructs. The possible modulation of the components of nanomedicine, their surface functionalization, and the encapsulation of various active therapeutics provide promising tools to bypass crucial biological barriers. These attributes enhance the delivery of multiple therapeutic agents directly to the tumor microenvironment (TME), resulting in reversal of LC resistance to anticancer treatment. This review provides a broad framework for understanding the different molecular mechanisms of DR in lung cancer, presents novel nanomedicine therapeutics aimed at improving the efficacy of treatment of various forms of resistant LC; outlines current challenges in using nanotechnology for reversing DR; and discusses the future directions for the clinical application of nanomedicine in the management of LC resistance.
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Affiliation(s)
- Mohamed Haider
- Department of Pharmaceutics and Pharmaceutical Technology, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates; (Z.H.); (G.K.)
| | - Amr Elsherbeny
- Division of Molecular Therapeutics and Formulation, School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UK;
| | - Valeria Pittalà
- Department of Drug and Health Science, University of Catania, 95125 Catania, Italy; (V.P.); (V.C.)
| | - Valeria Consoli
- Department of Drug and Health Science, University of Catania, 95125 Catania, Italy; (V.P.); (V.C.)
| | - Maha Ali Alghamdi
- Department of Biotechnology, College of Science, Taif University, Taif 21974, Saudi Arabia;
- Department of Molecular Medicine, Princess Al-Jawhara Centre for Molecular Medicine, School of Medicine and Medical Sciences, Arabian Gulf University, Manama 329, Bahrain;
| | - Zahid Hussain
- Department of Pharmaceutics and Pharmaceutical Technology, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates; (Z.H.); (G.K.)
| | - Ghalia Khoder
- Department of Pharmaceutics and Pharmaceutical Technology, College of Pharmacy, University of Sharjah, Sharjah 27272, United Arab Emirates; (Z.H.); (G.K.)
| | - Khaled Greish
- Department of Molecular Medicine, Princess Al-Jawhara Centre for Molecular Medicine, School of Medicine and Medical Sciences, Arabian Gulf University, Manama 329, Bahrain;
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Dubay R, Urban JN, Darling EM. Single-Cell Microgels for Diagnostics and Therapeutics. ADVANCED FUNCTIONAL MATERIALS 2021; 31:2009946. [PMID: 36329867 PMCID: PMC9629779 DOI: 10.1002/adfm.202009946] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Indexed: 05/14/2023]
Abstract
Cell encapsulation within hydrogel droplets is transforming what is feasible in multiple fields of biomedical science such as tissue engineering and regenerative medicine, in vitro modeling, and cell-based therapies. Recent advances have allowed researchers to miniaturize material encapsulation complexes down to single-cell scales, where each complex, termed a single-cell microgel, contains only one cell surrounded by a hydrogel matrix while remaining <100 μm in size. With this achievement, studies requiring single-cell resolution are now possible, similar to those done using liquid droplet encapsulation. Of particular note, applications involving long-term in vitro cultures, modular bioinks, high-throughput screenings, and formation of 3D cellular microenvironments can be tuned independently to suit the needs of individual cells and experimental goals. In this progress report, an overview of established materials and techniques used to fabricate single-cell microgels, as well as insight into potential alternatives is provided. This focused review is concluded by discussing applications that have already benefited from single-cell microgel technologies, as well as prospective applications on the cusp of achieving important new capabilities.
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Affiliation(s)
- Ryan Dubay
- Center for Biomedical Engineering, Brown University, 175 Meeting St., Providence, RI 02912, USA
- Draper, 555 Technology Sq., Cambridge, MA 02139, USA
| | - Joseph N Urban
- Center for Biomedical Engineering, Brown University, 175 Meeting St., Providence, RI 02912, USA
| | - Eric M Darling
- Department of Molecular Pharmacology, Physiology, and Biotechnology, Center for Biomedical Engineering, School of Engineering, Department of Orthopaedics, Brown University, 175 Meeting St., Providence, RI 02912, USA
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Liu Q, Chen C, Gao A, Tong HH, Xie L. VariFunNet, an integrated multiscale modeling framework to study the effects of rare non-coding variants in Genome-Wide Association Studies: applied to Alzheimer's Disease. PROCEEDINGS. IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE 2017; 2017:2177-2182. [PMID: 29692948 DOI: 10.1109/bibm.2017.8217995] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
It is a grand challenge to reveal the causal effects of DNA variants in complex phenotypes. Although statistical techniques can establish correlations between genotypes and phenotypes in Genome-Wide Association Studies (GWAS), they often fail when the variant is rare. The emerging Network-based Association Studies aim to address this shortcoming in statistical analysis, but are mainly applied to coding variations. Increasing evidences suggest that non-coding variants play critical roles in the etiology of complex diseases. However, few computational tools are available to study the effect of rare non-coding variants on phenotypes. Here we have developed a multiscale modeling variant-to-function-to-network framework VariFunNet to address these challenges. VariFunNet first predict the functional variations of molecular interactions, which result from the non-coding variants. Then we incorporate the genes associated with the functional variation into a tissue-specific gene network, and identify subnetworks that transmit the functional variation to molecular phenotypes. Finally, we quantify the functional implication of the subnetwork, and prioritize the association of the non-coding variants with the phenotype. We have applied VariFunNet to investigating the causal effect of rare non-coding variants on Alzheimer's disease (AD). Among top 21 ranked causal non-coding variants, 16 of them are directly supported by existing evidences. The remaining 5 novel variants dysregulate multiple downstream biological processes, all of which are associated with the pathology of AD. Furthermore, we propose potential new drug targets that may modulate diverse pathways responsible for AD. These findings may shed new light on discovering new biomarkers and therapies for the prevention, diagnosis, and treatment of AD. Our results suggest that multiscale modeling is a potentially powerful approach to studying causal genotype-phenotype associations.
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Affiliation(s)
- Qiao Liu
- Biochemistry, The Graduate Center, The City University of New York, New York, United States
| | - Chen Chen
- School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, United States
| | - Annie Gao
- Princeton High School, Princeton, United States
| | - Hang Hang Tong
- School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, United States
| | - Lei Xie
- Department of Computer Science Hunter College, The City University of New York, New York, United States
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Samir A, Elgamal BM, Gabr H, Sabaawy HE. Nanotechnology applications in hematological malignancies (Review). Oncol Rep 2015; 34:1097-105. [PMID: 26134389 PMCID: PMC4530900 DOI: 10.3892/or.2015.4100] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Accepted: 02/16/2015] [Indexed: 02/06/2023] Open
Abstract
A major limitation to current cancer therapies is the development of therapy-related side-effects and dose limiting complications. Moreover, a better understanding of the biology of cancer cells and the mechanisms of resistance to therapy is rapidly developing. The translation of advanced knowledge and discoveries achieved at the molecular level must be supported by advanced diagnostic, therapeutic and delivery technologies to translate these discoveries into useful tools that are essential in achieving progress in the war against cancer. Nanotechnology can play an essential role in this aspect providing a transforming technology that can translate the basic and clinical findings into novel diagnostic, therapeutic and preventive tools useful in different types of cancer. Hematological malignancies represent a specific class of cancer, which attracts special attention in the applications of nanotechnology for cancer diagnosis and treatment. The aim of the present review is to elucidate the emerging applications of nanotechnology in cancer management and describe the potentials of nanotechnology in changing the key fundamental aspects of hematological malignancy diagnosis, treatment and follow-up.
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Affiliation(s)
- Ahmed Samir
- Department of Clinical Pathology, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Basma M Elgamal
- Department of Clinical Pathology, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Hala Gabr
- Department of Clinical Pathology, Kasr Al‑Ainy Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Hatem E Sabaawy
- Department of Clinical Pathology, Kasr Al‑Ainy Faculty of Medicine, Cairo University, Cairo, Egypt
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Kim ES, Ahn EH, Dvir T, Kim DH. Emerging nanotechnology approaches in tissue engineering and regenerative medicine. Int J Nanomedicine 2014; 9 Suppl 1:1-5. [PMID: 24872698 PMCID: PMC4024971 DOI: 10.2147/ijn.s61212] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Affiliation(s)
- Eung-Sam Kim
- Department of Bioengineering, University of Washington, Seattle, WA, USA ; Department of Biological Sciences, Chonnam National University, Gwangju, Korea
| | - Eun Hyun Ahn
- Department of Pathology, University of Washington, Seattle, WA, USA ; Institute of Stem Cell and Regenerative Medicine, School of Medicine, University of Washington, Seattle, WA, USA
| | - Tal Dvir
- Department of Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv, Israel ; Center for Nanoscience and Nanotechnology, Tel Aviv University, Tel Aviv, Israel
| | - Deok-Ho Kim
- Department of Bioengineering, University of Washington, Seattle, WA, USA ; Institute of Stem Cell and Regenerative Medicine, School of Medicine, University of Washington, Seattle, WA, USA ; Center for Cardiovascular Biology, University of Washington, Seattle, WA, USA
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