Description:FIELD OF INVENTION:
The present invention relates to a system and method for predicting heterogenous growth and metastasis of tumor. More particularly, the present invention discloses a system and method of predicting the aggressiveness and metastasis along with the heterogeneous behaviour of Pancreatic Ductal Adenocarcinoma (PDAC) tumors based on continuum representation of the tumor microenvironment using Partial Differential Equations (PDE), and the subclonal progression using Agent-Based Modeling (ABM).

BACKGROUND OF INVENTION:
In the relentless battle against cancer, understanding the complex dynamics of tumor growth is paramount for devising effective treatment strategies. Tumor progression is a combined result of the tumor microenvironment as well as the genetic variations in tumor population resulting in tumor subclones. Intratumor heterogeneity (ITH) is a pivotal determinant influencing tumor evolution, progression, metastasis, and treatment resistance. Random genetic mutations contribute significan , Claims:1. A System (S) for predicting heterogeneous tumor growth and metastasis, the System (S) comprising:
- a continuum representation model (CRM) of the tumor microenvironment using Partial diffusion equation (PDE) analysis to depict the continuous tumor microenvironment, encompassing the continuous diffusion of oxygen and nutrients, extracellular matrix, and chemoattractant concentration;
- an Agent-Based Model (ABM) to simulate individual cell behaviours, genetic mutations, and clonal evolution;
- weighted neural network (WNN) to predict future metastasis;
wherein, the System (S) provides a comprehensive assessment of tumor heterogeneity to obtain metastatic signatures for predicting aggressiveness and heterogeneity of tumor through a gradient-based system.
2. The System (S) as claimed in claim 1, wherein the integrated model comprising the continuum representation of the tumor microenvironment with an Agent-Based Model (ABM) is used to simulate individual cell behaviours, genetic mutations, and clonal evolut