Recent advances in covalent organic frameworks for cancer diagnosis and therapy

Ahmad Reza Bagheri1, Chengjun Li, Xiaoli Zhang

  • 1Institute of Environmental Research at Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China. jiajianbo03@gmail.com hyzhou001@gzhu.edu.cn.

Biomaterials Science
|July 28, 2021
PubMed

Insights

Covalent organic frameworks (COFs) show promise for advanced cancer diagnosis and therapy. This review explores COF synthesis, functionalization, and their potential in cancer theranostics, addressing current limitations and future directions.

Area of Science:

  • Materials Science
  • Nanotechnology
  • Oncology

Background:

  • Cancer diagnosis and therapy face challenges like side effects, drug resistance, and recurrence.
  • Covalent organic frameworks (COFs) offer biocompatibility, porous structures, and easy functionalization for drug delivery.
  • Novel diagnostic and therapeutic strategies are urgently needed to overcome existing cancer treatment limitations.

Purpose of the Study:

  • To review synthesis and functionalization methods for COFs.
  • To investigate the application of COFs in cancer diagnosis and therapy.
  • To assess the advantages, limitations, mechanisms, and future perspectives of COFs in cancer theranostics.

Main Methods:

  • Literature review of COF synthesis and functionalization techniques.
  • Analysis of studies applying COFs for cancer diagnosis and therapy.
  • Evaluation of COF mechanisms in cancer treatment and theranostic potential.

Main Results:

  • COFs exhibit ideal properties for loading therapeutic agents and functional species.
  • COFs demonstrate potential in various cancer diagnostic and therapeutic applications.
  • Current understanding of COF applications in theranostics is limited, requiring further investigation.

Conclusions:

  • COFs are promising materials for developing innovative cancer diagnostic and therapeutic strategies.
  • Further research is needed to fully understand and optimize COFs for clinical cancer theranostics.
  • Addressing challenges in COF design and application will pave the way for improved cancer treatment outcomes.

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