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Delivery Strategies for Melittin-Based Cancer Therapy.

Jie ZhouChao WanJing ChengHao HuangJonathan F LovellHonglin Jin
Published in: ACS applied materials & interfaces (2021)
Melittin (MLT) has been studied preclinically as an anticancer agent based on its broad lytic effects in multiple tumor types. However, unsatisfactory tissue distribution, hemolysis, rapid metabolism, and limited specificity are critical obstacles that limit the translation of MLT. Emerging drug delivery strategies hold promise for targeting, controlled drug release, reduced side effects, and ultimately improved treatment efficiency. In this review, we discuss recent advances in the use of diverse carriers to deliver MLT, with an emphasis on the design and mechanisms of action. We further outline the opportunities for MLT-based cancer immunotherapy.
Keyphrases
  • drug delivery
  • cancer therapy
  • drug release
  • big data
  • machine learning
  • replacement therapy
  • solid state
  • artificial intelligence