Literature DB >> 29376542

Construction of iron oxide nanoparticle-based hybrid platforms for tumor imaging and therapy.

Yong Hu1, Serge Mignani, Jean-Pierre Majoral, Mingwu Shen, Xiangyang Shi.   

Abstract

The aim of this original review is to highlight and analyze the most recent progress and challenges in the synthesis and surface modifications of superparamagnetic iron oxide (Fe3O4) nanoparticles (NPs) for multimodal imaging and therapy applications, which represent important fields in medicine in general and cancer in particular. Thus, the oncology domain is rapidly moving to a more personalized medicine including precision imaging and theranostic approaches. Novel biocompatible Fe3O4 nanoparticulate systems have been designed for enhanced and targeted cellular uptake by surface layer coating modifications, to have improved r2 relaxivity for sensitive magnetic resonance (MR) imaging applications, to have the ability to be used for dual mode imaging, and to be used for imaging-guided cancer therapy. In this review, we analyzed in depth the new strategies for generating biocompatible multifunctional Fe3O4 nanoplatforms for both the diagnosis and therapy of cancer.

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Year:  2018        PMID: 29376542     DOI: 10.1039/c7cs00657h

Source DB:  PubMed          Journal:  Chem Soc Rev        ISSN: 0306-0012            Impact factor:   54.564


  30 in total

1.  Target-specific delivery of oxaliplatin to HER2-positive gastric cancer cells in vivo using oxaliplatin-au-fe3o4-herceptin nanoparticles.

Authors:  Daren Liu; Xiaowen Li; Changlei Chen; Chao Li; Chuanbiao Zhou; Weidong Zhang; Jiangang Zhao; Jie Fan; Kai Cheng; Li Chen
Journal:  Oncol Lett       Date:  2018-03-22       Impact factor: 2.967

2.  Amperometric hydrogen peroxide sensor using a glassy carbon electrode modified with a nanocomposite prepared from ferumoxytol and reduced graphene oxide decorated with platinum nanoparticles.

Authors:  Yuanyuan Zhang; Yulin Duan; Zeyu Shao; Chen Chen; Mei Yang; Guodong Lu; Wenfeng Xu; Xiaoling Liao
Journal:  Mikrochim Acta       Date:  2019-05-29       Impact factor: 5.833

Review 3.  Multimodal Composite Iron Oxide Nanoparticles for Biomedical Applications.

Authors:  Shameer Pillarisetti; Saji Uthaman; Kang Moo Huh; Yang Seok Koh; Sangjoon Lee; In-Kyu Park
Journal:  Tissue Eng Regen Med       Date:  2019-10-01       Impact factor: 4.169

Review 4.  Supramolecular metal-based nanoparticles for drug delivery and cancer therapy.

Authors:  Xiaomin Jiang; Chunbai He; Wenbin Lin
Journal:  Curr Opin Chem Biol       Date:  2021-02-22       Impact factor: 8.822

5.  Phase-separating peptides for direct cytosolic delivery and redox-activated release of macromolecular therapeutics.

Authors:  Yue Sun; Sze Yi Lau; Zhi Wei Lim; Shi Chieh Chang; Farid Ghadessy; Anthony Partridge; Ali Miserez
Journal:  Nat Chem       Date:  2022-02-03       Impact factor: 24.274

6.  Manipulation of the Size and Phase Composition of Yttrium Iron Garnet Nanoparticles by Pulsed Laser Post-Processing in Liquid.

Authors:  Tim Hupfeld; Frederic Stein; Stephan Barcikowski; Bilal Gökce; Ulf Wiedwald
Journal:  Molecules       Date:  2020-04-17       Impact factor: 4.411

Review 7.  Recent Progress in the Development of Poly(lactic-co-glycolic acid)-Based Nanostructures for Cancer Imaging and Therapy.

Authors:  Ki-Taek Kim; Jae-Young Lee; Dae-Duk Kim; In-Soo Yoon; Hyun-Jong Cho
Journal:  Pharmaceutics       Date:  2019-06-14       Impact factor: 6.321

Review 8.  Stimuli-Responsive Iron Oxide Nanotheranostics: A Versatile and Powerful Approach for Cancer Therapy.

Authors:  Morgan E Lorkowski; Prabhani U Atukorale; Ketan B Ghaghada; Efstathios Karathanasis
Journal:  Adv Healthc Mater       Date:  2020-11-23       Impact factor: 9.933

Review 9.  Shape-, size- and structure-controlled synthesis and biocompatibility of iron oxide nanoparticles for magnetic theranostics.

Authors:  Wensheng Xie; Zhenhu Guo; Fei Gao; Qin Gao; Dan Wang; Bor-Shuang Liaw; Qiang Cai; Xiaodan Sun; Xiumei Wang; Lingyun Zhao
Journal:  Theranostics       Date:  2018-05-11       Impact factor: 11.556

10.  Machine learning predicts the functional composition of the protein corona and the cellular recognition of nanoparticles.

Authors:  Zhan Ban; Peng Yuan; Fubo Yu; Ting Peng; Qixing Zhou; Xiangang Hu
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-24       Impact factor: 11.205

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