Targeting signaling cascades by bioactive phytocompounds in osteosarcoma: A novel therapeutic approach

Konstantin M Nakov1, M Elise Gething1, Tiana K Kassis1

  • 1Department of Pharmacology, College of Osteopathic Medicine, Lake Erie College of Osteopathic Medicine, Bradenton, FL 34211, USA.

PubMed

Insights

Bioactive phytochemicals show promise in treating osteosarcoma by inhibiting cancer cell growth and spread. Further research is needed to overcome limitations for clinical use in osteosarcoma patients.

Area of Science:

  • Oncology
  • Pharmacology
  • Natural Products Chemistry

Background:

  • Osteosarcoma is an aggressive bone cancer with poor outcomes for metastatic disease.
  • Current chemotherapy offers limited long-term survival benefits.
  • Novel therapeutic strategies targeting molecular mechanisms are needed.

Purpose of the Study:

  • To systematically review preclinical evidence on phytochemicals for osteosarcoma.
  • To evaluate their efficacy, molecular mechanisms, and limitations for clinical translation.
  • To explore phytochemicals as potential osteosarcoma therapeutics.

Main Methods:

  • Systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.
  • Analysis of preclinical studies on major phytochemical classes (phenolics, sulfur-containing compounds, terpenoids, alkaloids).
  • Investigation of effects on osteosarcoma cell lines and animal models.

Main Results:

  • Phytochemicals demonstrated significant antiproliferative, proapoptotic, and antimetastatic effects.
  • Mechanisms involved modulation of PI3K/Akt/mTOR and MAPK pathways.
  • Compounds also regulated mitochondrial apoptosis and epithelial-mesenchymal transition, with some showing in vivo tumor suppression.

Conclusions:

  • Multitargeted phytochemicals hold therapeutic potential for osteosarcoma management.
  • Significant limitations in bioavailability, dosing, and models hinder clinical translation.
  • Future research requires standardized formulations and pharmacokinetic optimization for clinical validation.

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