Abstract

Owing to unique facets, such as large surface area, tunable synthesis parameters, and ease of functionalization, mesoporous silica nanoparticles (MSNs) have transpired as a worthwhile platform for cancer theranostics over the last decade. The full potential of MSNs in cancer theranostics, however, is yet to be realized. While MSNs can be employed for targeted drug delivery and imaging, their effectiveness can frequently be hindered by factors, such as biological barriers, complex tumor microenvironment, target non-specificity and ineffectiveness of individual functionalized moieties. The primary purpose of this review is to highlight technological advances such as tumor-specific, stimuli-responsive “smart” MSNs and multimodal MSN-based hybrid nanoplatforms that have the potential to overcome these limitations and improve MSN effectiveness in cancer theranostics. This article offers an extensive overview of MSN technology in cancer theranostics, outlining key directions for future research as well as the challenges that are involved in this aspect. We aim to underline the vitality of MSN technology and the relevance of current research and advancements in this field to potentially enhance clinical outcomes through the provision of more precise and focused theranostic approaches.

Details

Title
Mesoporous silica nanotechnology: promising advances in augmenting cancer theranostics
Author
Dutta Gupta, Yashaswi 1 ; Mackeyev, Yuri 2 ; Krishnan, Sunil 2 ; Bhandary, Suman 1 

 Adamas University, Department of Biological Sciences, School of Life Science and Biotechnology, Kolkata, India (GRID:grid.502979.0) (ISNI:0000 0004 6087 8632) 
 The University of Texas Health Science Center (UTHealth), Vivian L. Smith Department of Neurosurgery, Houston, USA (GRID:grid.267308.8) (ISNI:0000 0000 9206 2401) 
Pages
9
Publication year
2024
Publication date
Dec 2024
Publisher
Springer Nature B.V.
ISSN
18686958
e-ISSN
18686966
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2921366266
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.