Nanocarrier-based targeting of metabolic pathways for endometrial cancer: Status and future perspectives

Biomed Pharmacother. 2023 Oct:166:115348. doi: 10.1016/j.biopha.2023.115348. Epub 2023 Aug 26.

Abstract

Cancer is the second-most lethal global disease, as per health reports, and is responsible for around 70% of deaths in low- and middle-income countries. Endometrial cancer is one of the emerging malignancies and has been predicted as a public health challenge for the future. Insulin resistance, obesity, and diabetes mellitus are the key metabolic factors that promote risks for the development of endometrial cancer. Various signaling pathways and associated genes are involved in the genesis of endometrial cancer, and any mutation or deletion in such related factors leads to the induction of endometrial cancer. The conventional way of drug delivery has been used for ages but is associated with poor management of cancer due to non-targeting of the endometrial cancer cells, low efficacy of the therapy, and toxicity issues as well. In this context, nanocarrier-based therapy for the management of endometrial cancer is an effective alternate choice that overcomes the problems associated with conventional therapy. In this review article, we highlighted the nanocarrier-based targeting of endometrial cancer, with a special focus on targeting various metabolic signaling pathways. Furthermore, the future perspectives of nanocarrier-based targeting of metabolic pathways in endometrial cancer were also underpinned. It is concluded that targeting metabolic signaling pathways in endometrial cancer via nanocarrier scaffolds is the future of pharmaceutical design for the significant management and treatment of endometrial cancer.

Keywords: Endometrial cancer; Metabolic risk factors; Metabolic signaling pathways; Nanocarrier targeting.

Publication types

  • Review

MeSH terms

  • Drug Delivery Systems
  • Drug Design
  • Endometrial Neoplasms* / drug therapy
  • Female
  • Humans
  • Metabolic Networks and Pathways
  • Signal Transduction