A5049322853- Mathematical Biology Tumor Growth
- Cancer Genomics and Diagnostics
- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Microtubule and mitosis dynamics
- Bioinformatics and Genomic Networks
- Mathematical and Theoretical Epidemiology and Ecology Models
- Renal cell carcinoma treatment
- Nanoparticle-Based Drug Delivery
- Effects of Radiation Exposure
- Ferroptosis and cancer prognosis
- Histone Deacetylase Inhibitors Research
- Extracellular vesicles in disease
- Evolution and Genetic Dynamics
- Cancer Immunotherapy and Biomarkers
- Mitochondrial Function and Pathology
- Pancreatic and Hepatic Oncology Research
- Medical Imaging Techniques and Applications
- Drug Transport and Resistance Mechanisms
- 3D Printing in Biomedical Research
- Cancer Cells and Metastasis
University of Castilla-La Mancha
2016-2023
Centre de Recherche Inria Bordeaux - Sud-Ouest
2021-2022
Abstract Drug resistance limits the therapeutic efficacy in cancers and leads to tumor recurrence through ill-defined mechanisms. Glioblastoma (GBM) are deadliest brain tumors adults. GBM, at diagnosis or after treatment, resistant temozolomide (TMZ), standard chemotherapy. To better understand acquisition of this resistance, we performed a longitudinal study, using combination mathematical models, RNA sequencing, single cell analyses, functional drug assays human glioma line (U251). After...
Abstract Development of drug resistance in cancer has major implications for patients’ outcome. It is related to processes involved the decrease efficacy, which are strongly influenced by intratumor heterogeneity and changes microenvironment. Heterogeneity arises, a large extent, from genetic mutations analogously Darwinian evolution, when selection tumor cells results adaptation microenvironment, but could also emerge as consequence epigenetic driven stochastic events. An important...
Renal Cell Carcinoma (RCC) is difficult to treat with 5-year survival rate of 10% in metastatic patients. Main reasons therapy failure are lack validated biomarkers and scarce knowledge the biological processes occurring during RCC progression. Thus, investigation mechanisms regulating progression fundamental improve therapy.In order identify molecular markers gene involved steps progression, we generated several cell lines higher aggressiveness by serially passaging mouse renal cancer RENCA...
Distant metastasis-free survival (DMFS) curves are widely used in oncology. They classically analyzed using the Kaplan-Meier estimator or agnostic statistical models from analysis. Here we report on a method to extract more information DMFS mathematical model of primary tumor growth and metastatic dissemination. The depends two parameters, α μ , respectively quantifying We assumed these be lognormally distributed patient population. propose for identification parameters distributions based...
We optimize radiotherapy (RT) administration strategies for treating low-grade gliomas. Specifically, we consider different tumour growth laws, both with and without spatial effects. In each scenario, find the optimal treatment in sense of maximizing overall survival time a virtual glioma patient, whose progresses according to examined laws. discover that an extreme protraction therapeutic strategy, which amounts substantially extending interval between RT sessions, may lead better control....
In this paper, a non-trivial generalization of mathematical model put forward in [35] to account for the development resistance by tumors chemotherapy is presented. A study existence and local stability solutions, as well ultimate dynamics model, addressed. An analysis different chemotherapeutical protocols using discretization optimization methods carried out. number objective functionals are considered necessary optimality conditions provided. Since control variable appears linearly...
Abstract We present an analysis of a mathematical model describing the key features most frequent and aggressive type primary brain tumor: glioblastoma. The captures salient physiopathological characteristics this invasion normal tissue, cell proliferation formation necrotic core. Our study, based on phase space analysis, geometric perturbation theory, exact solutions numerical simulations, proves existence bright solitary waves in tumor coupled with kink anti-kink fronts for tissue Finally,...
We have developed a 3D biosphere model using patient-derived cells (PDCs) from glioblastoma (GBM), the major form of primary brain tumors in adult, plus cancer-activated fibroblasts (CAFs), obtained by culturing mesenchymal stem with GBM conditioned media. The effect MSC/CAFs on proliferation, cell-cell interactions, and response to treatment PDCs was evaluated. Proliferation presence CAFs statistically lower but spheroids formed within 3D-biosphere were larger. A for 5 days Temozolomide...
Abstract Non-small-cell lung cancer is the leading cause of death worldwide. Although radiotherapy an effective treatment choice for early-stage cases, 5-year survival rate patients diagnosed in late-stages remains poor. Increasing evidence suggests that local and systemic effects dependent on induced anti-tumor immune responses. We believe educated adaptation plans based not only responses, but also tumor-immune ecosystem composition at beginning might increase tumor control. propose two...