Model-informed experimental design recommendations for distinguishing intrinsic and acquired targeted therapeutic resistance in head and neck cancer DOI Creative Commons

Santiago D. Cárdenas,

Constance J. Reznik,

Ruchira S. Ranaweera

и другие.

npj Systems Biology and Applications, Год журнала: 2022, Номер 8(1)

Опубликована: Сен. 8, 2022

The promise of precision medicine has been limited by the pervasive resistance to many targeted therapies for cancer. Inferring timing (i.e., pre-existing or acquired) and mechanism drug-induced) such is crucial designing effective new therapeutics. This paper studies cetuximab in head neck squamous cell carcinoma (HNSCC) using tumor volume data obtained from patient-derived xenografts. We ask if mechanisms can be determined this alone, not, what would needed deduce underlying mode(s) resistance. To answer these questions, we propose a family mathematical models, with each member assuming different present method fitting models individual volumetric data, utilize model selection parameter sensitivity analyses ask: which member(s) best describes HNSCC response cetuximab, does that tell us about driving resistance? find along time-course single dose initial fraction and, some instances, escalation are required distinguish among thereby infer These findings inform future experimental design so leverage synergy wet laboratory experimentation modeling study novel cancer

Язык: Английский

Mathematical modeling of radiotherapy: impact of model selection on estimating minimum radiation dose for tumor control DOI Creative Commons

Achyudhan R. Kutuva,

Jimmy J. Caudell, Kosj Yamoah

и другие.

Frontiers in Oncology, Год журнала: 2023, Номер 13

Опубликована: Окт. 9, 2023

Introduction Radiation therapy (RT) is one of the most common anticancer therapies. Yet, current radiation oncology practice does not adapt RT dose for individual patients, despite wide interpatient variability in radiosensitivity and accompanying treatment response. We have previously shown that mechanistic mathematical modeling tumor volume dynamics can simulate volumetric response to patients estimation personalized optimal reduction. However, understanding implications choice underlying model critical when calculating dose. Methods In this study, we evaluate biological effects 2 models on personalization: (1) cytotoxicity cancer cells lead direct reduction (DVR) (2) responses microenvironment carrying capacity (CCR) subsequent shrinkage. Tumor growth was simulated as logistic with pre-treatment being described proliferation saturation index (PSI). The effect according each respective a standard schedule fractionated Gy weekday fractions. Parameter sweeps were evaluated intrinsic rate parameter both observe qualitative impact parameter. then calculated minimum required locoregional control (LRC) across all combinations full range radiosensitvity values. Results Both estimate higher will require lower achieve LRC. two make opposite estimates PSI LRC: DVR tumors values LRC, while CCR Discussion Ultimately, these results show importance which best describes particular setting, before using any such recommendations.

Язык: Английский

Процитировано

9

Gompertz models with periodical treatment and applications to prostate cancer DOI Creative Commons

Leonardo Schultz,

Antonio Gondim,

Shigui Ruan

и другие.

Mathematical Biosciences & Engineering, Год журнала: 2024, Номер 21(3), С. 4104 - 4116

Опубликована: Янв. 1, 2024

<abstract><p>In this paper, Gompertz type models are proposed to understand the temporal tumor volume behavior of prostate cancer when a periodical treatment is provided. Existence, uniqueness, and stability periodic solutions established. The used fit data forecast growth based on treatments using capsaicin docetaxel anticancer drugs. Numerical simulations show that combination most efficient cancer.</p></abstract>

Язык: Английский

Процитировано

3

Modeling tumors as complex ecosystems DOI Creative Commons
Guim Aguadé‐Gorgorió, Alexander R.A. Anderson, Ricard V. Solé

и другие.

iScience, Год журнала: 2024, Номер 27(9), С. 110699 - 110699

Опубликована: Авг. 10, 2024

Many cancers resist therapeutic intervention. This is fundamentally related to intratumor heterogeneity: multiple cell populations, each with different phenotypic signatures, coexist within a tumor and its metastases. Like species in an ecosystem, cancer populations are intertwined complex network of ecological interactions. Most mathematical models ecology, however, cannot account for such diversity or predict consequences. Here, we propose that the generalized Lotka-Volterra model (GLV), standard tool describe species-rich communities, provides suitable framework ecology heterogeneous tumors. We develop GLV growth discuss how emerging properties provide new understanding disease. potential extensions their application plasticity, cancer-immune interactions, metastatic growth. Our work outlines set questions road map further research ecology.

Язык: Английский

Процитировано

3

Spatial interactions modulate tumor growth and immune infiltration DOI Creative Commons
Sadegh Marzban, Sonal Srivastava,

Sharon Kartika

и другие.

npj Systems Biology and Applications, Год журнала: 2024, Номер 10(1)

Опубликована: Сен. 30, 2024

Язык: Английский

Процитировано

3

Stackelberg Evolutionary Games of Cancer Treatment: What Treatment Strategy to Choose if Cancer Can be Stabilized? DOI Creative Commons
Mónica L. Salvioli, Hasti Garjani, Mohammadreza Satouri

и другие.

Dynamic Games and Applications, Год журнала: 2024, Номер unknown

Опубликована: Дек. 14, 2024

Abstract We present a game-theoretic model of polymorphic cancer cell population where the treatment-induced resistance is quantitative evolving trait. When stabilization tumor burden possible, we expand into Stackelberg evolutionary game, physician leader and cells are followers. The chooses treatment dose to maximize an objective function that proxy patient’s quality life. In response, evolve level maximizes their proliferation survival. Assuming in its ecological equilibrium, compare outcomes three different strategies: giving maximum tolerable throughout, corresponding standard care for most metastatic cancers, ecologically enlightened therapy, anticipates short-run, response treatment, but not evolution evolutionarily both consequences treatment. Of therapeutic strategies, therapy leads highest values function, lowest dose, resistance. Conversely, our model, worst

Язык: Английский

Процитировано

3

Comparacion de estrategias de control predictivo estocástico no lineal aplicadas a la quimioterapia DOI Creative Commons
Andrés Hernández-Rivera, Pablo Velarde, Ascensión Zafra‐Cabeza

и другие.

Revista Iberoamericana de Automática e Informática Industrial RIAI, Год журнала: 2025, Номер unknown

Опубликована: Янв. 10, 2025

El modelado matemático de sistemas biomédicos puede ayudar a los profesionales oncológicos diseñar ciclos administración fármacos más seguros y eficaces. Para lograr este objetivo, en el proceso toma decisiones se utiliza modelo del crecimiento tumoral impacto la quimioterapia. Sin embargo, son propensos un alto grado incertidumbre, no solo por errores medición, sino también dinámica sistema modelada variabilidad entre pacientes. abordar problema, han aplicado restricciones probabilísticas al control fármacos, haciéndolo robusto frente perturbaciones. Este trabajo compara una versión lineal otra linealizada las formulaciones estocásticas predictivo basado modelo. Ambos algoritmos mejoran eficacia seguridad tratamiento, con diferencias cuanto conservadurismo coste computacional.

Процитировано

0

Dynamic Behaviors of a Periodic System with Threshold Policy-Guided Periodic and Intermittent Therapy of Tumor DOI
Biao Tang,

Yanni Xiao,

Jianhong Wu

и другие.

SIAM Journal on Applied Mathematics, Год журнала: 2025, Номер 85(1), С. 366 - 392

Опубликована: Фев. 18, 2025

Язык: Английский

Процитировано

0

Proper likelihood functions for parameter estimation in S-shaped models of unperturbed tumor growth DOI Creative Commons
Erick Eduardo Ramirez-Torres, Antonio Rafael Selva Castañeda, L. Rández

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 24, 2025

The analysis of unperturbed tumor growth kinetics, particularly the estimation parameters for S-shaped equations used to describe growth, requires an appropriate likelihood function that accounts increasing error in solid measurements as size grows over time. This study aims propose suitable functions parameter models growth. Five different are evaluated and compared using three Bayesian criteria (the Information Criterion, Deviance Bayes Factor) along with hypothesis tests on residuals. These applied fit data from Ehrlich, fibrosarcoma Sa-37, F3II tumors Gompertz equation, though they generalizable other or analogous systems (e.g., microorganisms, viruses). Results indicate volume-dependent dispersion outperform standard constant-variance capturing variability measurements, Thres model, which provides interpretable Additionally, models, such those assuming a normal distribution, remain valuable complementary benchmarks analysis. It is concluded incorporating preferred accurate clinically meaningful modeling, whereas constant-dispersion serve useful complements consistency historical comparability.

Язык: Английский

Процитировано

0

Exploring trade-offs in drug administration for cancer treatment: A multi-criteria optimisation approach DOI
Marı́a José Torres, Fran Sérgio Lobato, Gustavo Barbosa Libotte

и другие.

Mathematical Biosciences, Год журнала: 2025, Номер unknown, С. 109404 - 109404

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Stability of the Darwinian Dynamics: Effect of Intraspecific Competition and Human Intervention DOI Creative Commons
Mohammadreza Satouri, Jafar Rezaei, Kateřina Staňková

и другие.

Dynamic Games and Applications, Год журнала: 2025, Номер unknown

Опубликована: Март 20, 2025

Язык: Английский

Процитировано

0