NIR Ratiometric Fluorescent Antibody‐Drug Conjugate for Metastatic Ovarian Cancer Theranostics and Treatment Response Monitoring
In vivo optical imaging advances antibody-drug conjugate (ADC) optimization by enabling real-time monitoring of biological stimulus-responsive drug behavior. Ratiometric probes, incorporating orthogonal wavelength-encoded multicolor detection and stimuli-cleavable linkages, are preferred over single-color strategies. Here, the synthesis of n501-CYMMAF (cyanine-decorated Monomethylauristatin F) is described as a novel ratiometric theranostic agent for dual efficacy in ovarian metastasis treatment and in situ treatment response monitoring. With low-dose administration (2.5 mg kg<sup>-1</sup>), exceptional target affinity (EC<sub>50(n501-CYMMAF)</sub> = 1.17 nm), and favorable biosafety (delivery to tumor-parts only), n501-CYMMAF enables experimental verification of treatment-evading metastatic cell populations through in situ fluorescent tracking, providing crucial insights into tumor recurrence pathways and judgement of treatment terminal point. In general, n501-CYMMAF represents a prototype for next-generation smart theranostics, integrating treatment and endpoint assessment to offer a platform for precision metastasis management.
Authors
- Tao Pu (ORCID: https://orcid.org/0009-0002-4632-4695)
- Zhenlin Yang (ORCID: https://orcid.org/0000-0001-9735-4742)
- Tianlei Ying (ORCID: https://orcid.org/0000-0002-9597-2843)
- Cheng Li (ORCID: https://orcid.org/0000-0002-7381-4940)
- Youhua Xie (ORCID: https://orcid.org/0000-0002-2416-7708)
- Gang Wang (ORCID: https://orcid.org/0000-0002-3201-6950)
- Zeyuan Yu (ORCID: https://orcid.org/0000-0002-6462-8417)
- Yanling Wu (ORCID: https://orcid.org/0000-0001-8780-8640)
- Yibing Shi (ORCID: https://orcid.org/0009-0004-5348-4747)
Institutions
- Shanghai University (CN)
- Sun Yat-sen University (CN)
- Fudan University (CN)
- Zhongshan Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Children's Hospital of Fudan University (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2025-11-28
- DOI
- https://doi.org/10.1002/advs.202516607
- Primary Topic
- Nanoplatforms for cancer theranostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00