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Phytochemical innovations in oral cancer therapy: targeting oncogenic pathways with natural compounds

  • Punniyakoti V. Thanikachalam ORCID logo , Mahalakshmi Devaraji ORCID logo EMAIL logo , Nandhini Jayaprakash , Harshitha Sivakumar , Divya Balamurugan and Harish Kanna Shanmugan
Published/Copyright: July 11, 2025

Abstract

Oral squamous cell carcinoma (OSCC) remains a significant global health concern due to its high mortality rate, late-stage diagnosis, and limited treatment options. Conventional therapies such as surgery, radiotherapy, and chemotherapy often face limitations including drug resistance, recurrence, and systemic toxicity, prompting the need for alternative strategies. This narrative review synthesizes recent preclinical evidence on the use of natural phytochemicals including alkaloids, flavonoids, tannins, saponins, and terpenoids for OSCC treatment. These compounds demonstrate anticancer effects through apoptosis induction, oxidative stress modulation, immunoregulation, and metastasis inhibition. In vitro and in vivo studies highlight their cytotoxicity, tumor-suppressive properties, and pharmacokinetic profiles. Additionally, nanotechnology-based delivery systems have shown potential in overcoming bioavailability barriers and enhancing therapeutic efficacy. However, most findings are preclinical, and challenges such as poor pharmacokinetics, off-target effects, and limited clinical trial data must be addressed. This review emphasizes the translational promise of phytochemicals and calls for further clinical validation to integrate these agents into OSCC management.


Corresponding author: Mrs. Mahalakshmi Devaraji, Assistant Professor, Department of Pharmaceutical Chemistry, Saveetha College of Pharmacy, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, 602105, India, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: Punniyakoti V. Thanikachalam: validation, visualization, writing – review & editing. Mahalakshmi Devaraji: conceptualization, data curation, writing – original draft. Nandhini J.: validation, visualization. Divya B.: conceptualization. Harshitha G.S.: writing– original draft. Harish Kanna S.: visualization, writing – review and editing.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2025-04-01
Accepted: 2025-06-24
Published Online: 2025-07-11

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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