Fluorescent self-reporting theranostic platforms for tumour therapy: from cytotoxin release monitoring to therapeutic feedback evaluation

Abstract

Controlled drug release, which enables targeted drug delivery, enhances selectivity and safety, and holds broad application prospects in precision tumour therapy, is frequently limited by unpredictable cytotoxic release and variable therapeutic effects. To address this challenge, fluorescent self-reporting theranostic platforms (FSRTPs) have emerged as a promising approach, enabling real-time monitoring of drug release dynamics and therapeutic efficacy. This paper reviews fluorescence single-/dual-mode imaging-guided controlled-release therapeutics developed in recent years, highlighting their design rationales, imaging strategies, and biological applications. In addition, the characteristics of FSRTPs are critically compared across different therapeutic modalities from the dual perspectives of cytotoxin-release monitoring and therapeutic-feedback evaluation. A core focus is achieving high-resolution intracellular drug tracking and real-time biomarker sensing (e.g., Caspase-3) to enable prompt assessment of tumour cell apoptosis. Finally, we identify key bottlenecks in imaging depth, drug quantification, and pharmacokinetics and propose next-generation design principles to facilitate the clinical translation of adaptive, personalized cancer therapies.

Graphical abstract: Fluorescent self-reporting theranostic platforms for tumour therapy: from cytotoxin release monitoring to therapeutic feedback evaluation

Transparent peer review

To support increased transparency, we offer authors the option to publish the peer review history alongside their article.

View this article’s peer review history

Article information

Article type
Review Article
Submitted
03 Feb 2026
Accepted
10 Apr 2026
First published
14 Apr 2026

J. Mater. Chem. B, 2026, Advance Article

Fluorescent self-reporting theranostic platforms for tumour therapy: from cytotoxin release monitoring to therapeutic feedback evaluation

Y. Guan, J. Zhao, S. Hou, Y. Sun, Y. Yao, Z. Long, J. Zhou and C. Duan, J. Mater. Chem. B, 2026, Advance Article , DOI: 10.1039/D6TB00272B

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements