Personalized Oncology Care Revolutionized with New Simulation Application

Personalized Oncology Care Revolutionized with New Simulation Application

CancerMate, a groundbreaking simulation app, is providing a valuable tool for oncologists and pharmaceutical researchers in the field of personalised cancer treatment. Developed using COMSOL Multiphysics and COMSOL CompilerTM, the app allows for easy distribution of virtual scenarios and detailed information on cancer progression [1][4].

The user-friendly interface of the CancerMate app caters to patient-specific data, such as total observation period, patient mass, body surface area, baseline Ki67 and TIL values, dosage, and creatinine levels [1]. By integrating this data, the app's virtual biomarkers inform the model's predictions and are applied to a set of equations that describe tumor growth and response to treatment over time [1].

In the context of nonmetastatic triple-negative breast cancer (TNBC) patients, COMSOL Multiphysics has been instrumental in creating the CancerMate simulation app. This app allows clinicians to simulate patient-specific tumor behaviour and treatment outcomes without requiring expertise in simulation software [1][4].

The app's model, built on COMSOL's multiphysics capabilities, combines molecular, cellular, and tissue-level processes into a coherent, validated model. This approach facilitates personalised treatment planning by simulating how a patient’s tumor may respond to various therapies based on individual biological parameters [1]. The model's integration of heterogeneous data—from molecular kinetics to tissue mechanics—enables detailed prediction of tumor progression and therapeutic efficacy, supporting precision oncology decisions tailored to nonmetastatic TNBC patients [1].

CancerMate offers several benefits for the clinical setting. It can help clinicians assess and monitor tumor lesion volumes, potentially modifying treatment duration using in silico tools [1]. The app is designed to help oncologists better monitor solid tumor progression and adjust therapeutic strategies accordingly [1]. By providing more personalised and precise treatment decisions, the use of CancerMate could potentially improve patient care [1].

The mathematical model built for CancerMate predicts the metabolic response of breast cancer, virtualises tumor progression, and predicts tumor dynamics in response to therapy for individual patients [1]. Virtual biomarkers in the app are used to supplement or predict traditional clinical biomarkers [1].

Gianpaolo Ruocco, CEO of iBMB Srls, the initiative behind CancerMate, stated that the app allows doctors to run virtual scenarios, reducing the burden on the patient and the cost of the treatment [1]. The current version of CancerMate is ready for implementation in a clinical setting for triple-negative breast cancer treated with LYNPARZA® [1].

In conclusion, COMSOL Multiphysics is contributing significantly to personalised oncology by enabling the creation of detailed, physics-based simulation models that integrate multi-scale biological data. The CancerMate app, developed using this software, is a testament to this, providing a user-friendly interface that allows clinicians to simulate patient-specific tumor behaviour and treatment outcomes without requiring expertise in simulation software [1][4]. This shift towards predictive oncology, taking patient-specific data into account to better understand tumor responses to treatments, is set to revolutionise the field of cancer treatment.

[1] CancerMate: A Mathematical Model for Simulating the Proliferation of Cancer Cells in Patients with Non-Metastatic Triple-Negative Breast Cancer and Virtualizing Lesion Volumes Before They Undergo Neoadjuvant LYNPARZA® (olaparib) Chemotherapy. Ruocco, G., et al. (2021). [4] COMSOL Multiphysics Software Contributes to Personalized Oncology. COMSOL. (2021). Retrieved from https://www.comsol.com/blogs/comsol-multiphysics-software-contributes-to-personalized-oncology

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