Advances and prospects of MIL-based drug delivery systems in the diagnosis and treatment of cervical cancer

Abstract

Cervical cancer, a common type of cancer with gynecological malignant tumors, poses a serious threat to women's health. Despite significant advances in cancer treatment, there is still a lack of effective early detection methods, and many therapeutic approaches suffer from low specificity and adverse side effects. Therefore, there is an urgent need to explore efficient diagnostic methods and targeted treatments with strong specificity and high efficacy. The Materials of Institute Lavoisier (MIL) family of materials possesses favorable porosity, large specific surface area, high drug-loading capacity, tunable pore sizes, and superior chemical stability. Notably, their satisfactory biocompatibility has further promoted their widespread research in cancer diagnosis and targeted therapy. Inspired by this, this review summarizes recent developments in the application of MIL materials in cervical cancer diagnosis and treatment. Primarily, the properties, structures, and synthesis methods of MIL materials, including MIL-100, MIL-101, MIL-88, and MIL-53, are introduced. Then, the application of MIL materials in the diagnosis of cervical cancer is discussed. MIL-based nanoplatforms for chemotherapy (CT), chemodynamic therapy (CDT), photothermal therapy (PTT), photodynamic therapy (PDT), and related combination therapies in cervical cancer treatment are reviewed. Finally, the challenges encountered in applying MIL materials in cervical cancer treatment are summarized, and prospects for their future development are provided.

Graphical abstract: Advances and prospects of MIL-based drug delivery systems in the diagnosis and treatment of cervical cancer

Article information

Article type
Perspective
Submitted
26 Apr 2026
Accepted
08 Jun 2026
First published
09 Jun 2026

Dalton Trans., 2026, Advance Article

Advances and prospects of MIL-based drug delivery systems in the diagnosis and treatment of cervical cancer

Y. Zhang, Y. Ye, Q. Zhong, Z. Yan, Z. Feng, A. Nezamzadeh-Ejhieh, G. Jiang, Y. Pan, Z. Gou and J. Liu, Dalton Trans., 2026, Advance Article , DOI: 10.1039/D6DT00965D

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