Resveratrol Nanoformulations for Cancer Management: A Comprehensive Review of Disease-Specific Strategies and

Huifang Yang1, Zilin Cheng1, Yilin Wang1

  • 1Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, People's Republic of China.

Insights

Resveratrol (RES) nanoformulations show promise for cancer therapy by overcoming poor bioavailability. Further research is needed for clinical translation of these advanced drug delivery systems.

Area of Science:

  • Oncology
  • Nanotechnology
  • Pharmacology

Background:

  • Cancer is a leading cause of death globally, necessitating novel therapies with reduced toxicity and drug resistance.
  • Resveratrol (RES), a natural compound, exhibits anticancer properties but suffers from poor bioavailability, limiting its clinical use.
  • Nanotechnology offers a solution to enhance RES delivery and efficacy.

Purpose of the Study:

  • To review recent advancements in Resveratrol (RES)-loaded nanoformulations for cancer treatment.
  • To evaluate the therapeutic performance of various RES nanoformulations in different cancer types.
  • To identify challenges and propose a framework for the clinical translation of RES nanocarriers.

Main Methods:

  • Comprehensive literature review of RES nanoformulations.
  • Analysis of therapeutic outcomes in preclinical cancer models (prostate, lung, colorectal, breast, etc.).
  • Evaluation of tumor targeting, controlled release, and resistance reversal strategies.
  • Assessment of modulation of key cancer pathways (NF-κB, p53, PI3K/Akt/mTOR).

Main Results:

  • Various RES nanoformulations (nanoparticles, liposomes, micelles, etc.) demonstrate improved anticancer effects.
  • These systems enhance tumor targeting, controlled drug release, and overcome multidrug resistance.
  • RES nanoformulations modulate critical cancer-related signaling pathways.

Conclusions:

  • RES nanoformulations represent a promising strategy to improve cancer therapy efficacy and overcome RES limitations.
  • Scalable manufacturing, safety, targeted delivery, and biomarker-guided trials are crucial for clinical translation.
  • A prioritization framework is proposed for future translational studies and computational analyses.

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