Therapy optimization in Glioblastoma (TOG) – Molab

Nombre tema.

Publicaciones

A transient population precedes and supports the acquisition of temozolomide resistance in glioblastoma
Nature Communications (2018 submitted)
M. Rabe, S. Dummont, A. Alvarez-Arenas Alcami et al

Flux density and coating strongly influence nanoparticle internalization into cells
Nanoletters (2018, submitted)
Belén Cortés-Llanos, Gabriel F. Calvo, Juan Belmonte-Beitia, Sandra M. Ocampo, Leonor de la Cueva, Lucas Pérez, Cristobal Belda-Iniesta, Gorka Salas and Ángel Ayuso-Sacido.

Ultimate dynamics and optimal control of a multi-compartment model of tumor resistance to chemotherapy
Discrete and Continuous Dynamical Systems B, (2018 submitted)
A. Alvarez-Arenas, K.E. Starkov, G. F. Calvo, Juan Belmonte-Beitia

Is possible to establish the postoperative extent of resection of glioblastoma with 18F-fluorocholine PET/CT?
Clinical Nuclear Medicine (2018)
A. M. García Vicente, J. Pérez-Beteta, M. Calvo, M. Villena, A. Soriano

Regulation of the oxidative balance with Coenzyme Q10 sensitizes human glioblastoma cells to radiation and temozolomide
Radiotherapy and Oncology (2018) doi:10.1016/j.radonc.2018.04.033
J Frontiñán, R Santiago, C Nieva, G Ferrín, A Martínez, MV Gomez, M Moreno, J Ariza, E Lozano, J Arjona, A Gil, M De la Mata, M Pesic, JR Peinado, JM Villalba, L Pérez-Romasanta, et al

Tumor Surface Regularity at MR Imaging Predicts Survival and Response to Surgery in Patients with Glioblastoma
Radiology 288(1), 218-225 (2018)
J. Pérez-Beteta, D. Molina, A. Fernández, B. Luque, E.. Arregui, M. Calvo et al

Approaching the Rank Aggregation Problem by Local Search-based Metaheuristics.
Information Sciences (2018) doi:10.1016/j.cam.2018.03.014
Juan A. Aledo, José A. Gámez, David Molina.

Changes in the retreatment radiation tolerance of the spinal cord with time after the initial treatment
International Journal of Radiation Biology 94:6, 515-531 (2018)
T. E. Wooley, J. Belmonte-Beitia, G. F. Calvo, J. W. Hopewell, E. A. Gaffney and B. Jones

Intratumoral heterogeneity in 18F-FDG PET/CT by textural analysis in breast cancer as predictive and prognostic subrogate.
Annals of Nuclear Medicine 32(6), 379-388 (2018).
D. Molina A. M. Garcia Vicente, J. Perez-Beteta, M. Amo-Salas, A. Martinez-Gonzalez, Maria J. Tello Galan, Angel Soriano Castrejon, Victor M. Perez-Garcia

Labile Hemoglobin as a Glycemic Biomarker for Patient-Specific Monitoring of Diabetes: Mathematical Modelling Approach
Journal of the Royal Society Interface, 15(142), 20180224 (2018)
O. León-Triana, G. F. Calvo, J. Belmonte-Beitia, M. Rosa Durán, J. Escribano-Serrano, A. Michan-Doña, V. M. Pérez-García

Predictive and prognostic potential of volume-based metabolic variables obtained by basal 18F-FDG PET/CT in breast cancer with neoadjuvant chemotherapy indication
Revista Española de Medicina Nuclear e Imagen Molecular 37(2), 73-79 (2017)
A. M. García Vicente, J. Pérez-Beteta, M. Amo-Salas, D. Molina, G. Jiménez Londoño, A. M. Soriano, M. J. Tello, F. J. Pena Pardo, A. Martínez-González

A Mathematical Model Describes the Malignant Transformation of Low Grade Gliomas: Prognostic implications
PLOS One 12(8):e0179999 (2017)
M. U. Bogdanska, M. Bodnar, M. J. Piotrowska, M. Murek, P. Schucht, J. Beck, A. Martínez-González, V. M. Pérez-García

A mathematical model of low grade gliomas treated with temozolomide and its therapeutical implications
Mathematical Biosciences 288 (2017) 1-13
M. U. Bogdanska, M. Bodnar, J. Belmonte-Beitia, M. Murek, P. Schucht, J. Beck, V.M. Pérez-García

Assessing response in locally advanced breast cancer treated with neaodjuvant chemotherapy: Predictive and prognostic potential of volume-based metabolic variables with 18F-FDG PET/CT
Cancer Research 77, P4-01-04 (2017)
Munoz-Sanchez MDM, Soriano MC, Garcia-Vicente AM Molina-Garrido MJ, Perez-Beteta J, Olaverri-Herandez, A , Molina-Garcia D, Crespo JAS, Perez-Garcia VM, Val-Perez E, Martin-Ordonez F, Chacon-Muniz JL,

Combined in-silico and on-chip validation of pseudopalisade formation hypothesis in Glioblastoma
Neuro-Oncology 19(3):iii62-iii62 (2017)
A. Martínez-González, J. M. Ayuso, R. Monge, M. Virumbrales-Muñoz, G. A. Llamazares, A. Hernández-Laín, P. Sánchez-Gómez, V. M. Pérez-García, L. J. Fernández, I. Ochoa

Glioblastoma on a microfluidic chip: Generating pseudopalisades and enhancing cancer cell’s aggressiveness through blood vessel obstruction events
Neuro-Oncology 19(4), 503-513 (2017).
JM Ayuso, R Monge, A Martínez-González, GA Llamazares, J Berganzo, A Hernández-Laín, J Santolaria, M Doblaré, C Hubert, J Rich, P Sánchez-Gómez, VM Pérez-García, I Ochoa, LJ Fernández

Glioblastoma: Does the pre-treatment geometry matter? A postcontrast T1 MRI-based study
European Radiology 27(3), 1096-1104 (2017)
J. Pérez-Beteta, A. Martínez-González, D. Molina, M. Amo, B. Luque, E. Arregui, M. Calvo, J. M. Borrás, C. López, M. Claramonte, J. Barcia, L. Iglesias, J. Avecillas, D.Albillo,…., V. M.Pérez-García

Lack of robustness of textural measures obtained from 3D brain tumor MRIs impose a need for standardization
PLoS One 12(6):e0178843 (2017)
David Molina, Julián Pérez-Beteta, Alicia Martínez-González, Juan Martino, Carlos Velasquez, Estanislao Arana, Víctor M. Pérez-García

Malignant transformation of low-grade gliomas. Prognostic implications from mathematical model
Neuro-Oncology 19(3), iii85-iii85 (2017)
M. U. Bogdanska, M. Bodnar, M. J. Piotrowska, M. Murek, P. Schucht, J. Beck, A. Martínez-Gonzalez, V. M. Perez-Garcia

Metabolic tumor burden assessed by dual time point 18F-FDG PET/CT in locally advanced breast cancer: Relation with tumor biology.
Molecular Imaging and Biology 19(4), 636-644 (2017)
A. M. García-Vicente, J. Pérez-Beteta, A. Martínez-González, V.M. Pérez-García, D. Molina, G.A. Jiménez Londoño, A. Soriano

Non-Standard Radiotherapy Fractionations Delay the Time to Malignant Transformation in Low-Grade Gliomas
PLoS One 12(6):e0178552 (2017)
Araceli Henares-Molina, Sebastien Benzekry, Pedro C Lara, Marcial García-Rojo, Víctor M Pérez-García, and Alicia Martínez-González

Novel geometrical imaging biomarkers predict survival and allow for patient selection for surgery in glioblastoma patients
Neuro-Oncology 19(3):iii80-iii80 (2017)
J. Pérez-Beteta, D. Molina, A. Martínez-González, E. Arregui, B. Asenjo, L. Iglesias, J. Martino, L. Pérez-Romasanta, E. Arana, V. M. Pérez-García

Optimized radiotherapy protocols delay the malignant transformation of low-grade gliomas in-silico
Neuro Oncol (2017) 19 (3): iii12.
Henares-Molina A, Benzecry S, Lara P, García-Rojo M, Pérez-García VM, Martínez-González A

Optimizing the delivery of combination therapy for tumors: A mathematical model
International Journal of Biomathematics 10 (2017) 1750039
Clara Rojas Rodríguez and Juan Belmonte-Beitia

Recommendations for computation of textural measures obtained from 3D brain tumor MRIs: A robustness analysis points out the need for standardization
Neuro-Oncology 19 (3): iii44 (2017)
D. Molina, J. Pérez-Beteta, A. Martínez-González, C. Velásquez, J. Martino, B. Luque, A. Revert, I. Herruzo, E. Arana, V. M. Pérez-García

Stochastic modelling of slow-progressing tumors: analysis and applications to the cell interplay and control of low grade gliomas
Communications in Nonlinear Science and Numerical Simulation 49 (2017) 63-80
Clara Rojas Rodríguez, Gabriel Fernández Calvo, Ignacio Ramis Conde, Juan Belmonte Beitia

Tackling the supervised label ranking problem by bagging weak learners
Information Fusion 35, 38-50 (2017)
Juan A. Aledo, José A. Gámez, David Molina

Textural features and SUV-based variables assessed by dual time point 18F-FDG PET/CT in locally advanced breast cancer
Annals of Nuclear Medicine 31(10) 726-735 (2017)
García-Vicente AM, Molina D, Pérez-Beteta J, Amo-Salas, M, Martínez-González A, Bueno G, Tello-Galán MJ, Soriano-Castrejón A

Towards individualized survival prediction in glioblastoma patients using machine learning methods
Neuro-Oncology 19(3):iii84-iii84 (2017)
L. Vera, J. Pérez-Beteta, D. Molina, J. M. Borrás, M. Benavides, J. A. Barcia, C. Velásquez, D. Albillo, P. Lara, V. M. Pérez-García

Proyectos

Nonlinear waves: Applications to biological and Physical Systems
Junta de Comunidades de Castilla-La Mancha

Therapy optimization in glioblastoma: An integrative human data-based approach using mathematical models
James S. Mc. Donnell Foundation

Sponsors

© Mathematical Oncology Laboratory – MOLAB
Universidad de Castilla-La Mancha