Modelling the Effect of Docosa Hexaenoic Acid (DHA) in cancer therapy

Abstract

Author(s): Satyanararayana Rentala, Mounika Ramachandruni, Varsha Hannah Rajasekhar, Aditi Jha, Shaik Gulnaz, Saradha Janaki Gundlapalli

Background: Docosahexaenoic Acid (DHA), an omega-3 fatty acid, has demonstrated potential anti-cancer properties, including anti-proliferative and pro-apoptotic effects on tumor cells. Understanding the impact of DHA on tumor growth dynamics can inform therapeutic strategies and optimize treatment efficacy. Tumor growth models, including the exponential, logistic, and Gompertz models, provide frameworks for quantifying these effects.

Objective: This study aims to integrate the effects of DHA into various tumor growth models to evaluate its impact on tumor dynamics and to provide insights into its potential as a therapeutic agent in cancer treatment.

Methods: The effects of DHA were incorporated into the exponential, logistic, and Gompertz growth models by modifying the intrinsic growth rate parameter. Experimental data from in vitro and in vivo studies were used to estimate the reduction in growth rates due to DHA treatment. The modified models were analyzed to determine the extent of DHA's impact on tumor growth. Results: Incorporation of DHA into the exponential growth model indicated a significant reduction in the intrinsic growth rate (

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Awards Nomination

Editors List

  • Ahmed Hussien Alshewered

    University of Basrah College of Medicine, Iraq

  • Sudhakar Tummala

    Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh

     

     

     

  • Alphonse Laya

    Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis

     

  • Fava Maria Giovanna

     

  • Manuprasad Avaronnan

Onkologia i Radioterapia peer review process verified at publons
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