The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Cancer‐Associated, Stimuli‐Driven, Turn on Theranostics for Multimodality Imaging and Therapy
Open accessAbstract
Advances in bioinformatics, genomics, proteomics, and metabolomics have facilitated the development of novel anticancer 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.
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Metadata
- Authors
- Li, X., Kim, J., Yoon, J., & Chen, X.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2017-03-29
- Volume
- 29
- Issue
- 23
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2602000459
- Cited by
- 362
- References
- 11
- FWCI
- 22.23
- Type
- journal article
- Language
- en
- Open access
- green
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- Li, X., Kim, J., Yoon, J., & Chen, X. (2017). Cancer‐Associated, Stimuli‐Driven, Turn on Theranostics for Multimodality Imaging and Therapy. Advanced Materials. https://doi.org/10.1002/adma.201606857
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
