Literature DB >> 28370546

Cancer-Associated, Stimuli-Driven, Turn on Theranostics for Multimodality Imaging and Therapy.

Xingshu Li1, Jihoon Kim2, Juyoung Yoon1, Xiaoyuan Chen2.   

Abstract

Advances in bioinformatics, genomics, proteomics, and metabolomics n class="Chemical">have facilitated the development of novel antin>n class="Disease">cancer agents that have decreased side effects and increased safety. Theranostics, systems that have combined therapeutic effects and diagnostic capabilities, have garnered increasing attention recently because of their potential use in personalized medicine, including cancer-targeting treatments for patients. One interesting approach to achieving this potential involves the development of cancer-associated, stimuli-driven, turn on theranostics. Multicomponent constructs of this type would have the capability of selectively delivering therapeutic reagents into cancer cells or tumor tissues while simultaneously generating unique signals that can be readily monitored under both in vitro and in vivo conditions. Specifically, their combined anticancer activities and selective visual signal respond to cancer-associated stimuli, would make these theranostic agents more highly efficient and specific for cancer treatment and diagnosis. This article focuses on the progress of stimuli-responsive turn on theranostics that activate diagnostic signals and release therapeutic reagents in response to the cancer-associated stimuli. The present article not only provides the fundamental backgrounds of diagnostic and therapeutic tools that have been widely utilized for developing theranostic agents, but also discusses the current approaches for developing stimuli-responsive turn on theranostics.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  cancer anomalies; imaging modalities; targeting therapy; theranostics

Mesh:

Substances:

Year:  2017        PMID: 28370546      PMCID: PMC5544499          DOI: 10.1002/adma.201606857

Source DB:  PubMed          Journal:  Adv Mater        ISSN: 0935-9648            Impact factor:   30.849


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