Big data and biomarker design
An ever-increasing amount of data is available in cancer research, much of it not yet fully used, provided by the different ‘omics’ technologies (genomics, radiomics, proteomics, etc.). cancer types for diagnosis, therapy planning, response assessment and follow-up. We study the properties of current quantifiers of tumor properties (such as heterogeneity or morphological features) to determine which can be surrogates of the disease status. We also define new properties based on mathematical models that could be used as prognostic and response biomarkers. We further study how to combine the biomarkers into more complex prognostic and predictive models.
Publications
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Brain Metastasis Response to Stereotactic Radio Surgery: A Mathematical ApproachOdelaisy León-Triana, Julián Pérez-Beteta , David Albillo, Ana Ortiz de Mendivil, Luis Pérez-Romasanta, Estanislao Arana, Víctor M Pérez-GarcíaMathematics (2021, submitted)
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Evolutionary dynamics at the tumor edge reveals metabolic imaging biomarkersJiménez-Sánchez J, Bosque JJ, Jiménez-Londoño GA, Molina-García D, Martínez-Rubio A, Pérez-Beteta J, Ortega-Sabater C, Honguero-Martínez AF, García-Vicente AM, Calvo GF, Pérez-García VM.Proceedings of the National Academy of Sciences (USA) XX(YY) ZZZZ (2021).
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High-dimensional Analysis of Single-cell Flow Cytometry Data Predicts Relapse in Childhood Acute Lymphoblastic LeukemiaChulián, S.; Martínez-Rubio, Á.; Pérez-García, V.M.; Rosa, M.; Blázquez-Goñi, C.; Rodríguez Gutiérrez, J.F.; Hermosín-Ramos, L.; Molinos-Quintana, Á.; Caballero-Velázquez, T.; Ramírez-Orellana, M.; Castillo Robleda, A.; Fernández-Martínez, J.L.Cancers 13(1), 17 (2021).
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Universal scaling laws rule explosive growth in human cancersVíctor M. Pérez-García, Gabriel F. Calvo, Jesús J. Bosque, Odelaisy León-Triana, Juan Jiménez, Julián Pérez-Beteta, J Belmonte-Beitia, M Valiente, L Zhu, P García-Gómez, P Sánchez-Gómez, E Hernández, R Hortigüela, Y. Azimzade, D Molina-García, A Martínez, A Acosta, A Ortiz de Mendivil, F Vallette, P Schucht, M Murek, M Pérez-Cano, D Albillo, AF Honguero, G. A. Jiménez, E Arana, AM García-VicenteNature Physics 16, 1232-1237 (2020)
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Tumor width on T1-weighted MRI images of glioblastoma as a prognostic biomarker: A mathematical modelJ. Pérez Beteta, J. Belmonte-Beitia, V.M. Pérez-GarcíaMathematical Modelling of Natural Phenomena 15, 10 (2020)
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Approaching the Rank Aggregation Problem by Local Search-based Metaheuristics.J. A. Aledo, J. A. Gámez, D. Molina.Journal of Computational and Applied Mathematics 354, 445-456 (2019)
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Prognostic models based on imaging findings in glioblastoma: Human versus MachineD. Molina-García, L. Vera, J. Pérez-Beteta, E. Arana, V. M. Pérez-GarcíaScientific Reports 9:5982 (2019)
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Lack of robustness of textural measures obtained from 3D brain tumor MRIs impose a need for standardizationD. Molina, J. Pérez-Beteta, A. Martínez-González, J. Martino, C. Velasquez, E. Arana, V. M. Pérez-GarcíaPLoS One 12(6):e0178843 (2017)
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Recommendations for computation of textural measures obtained from 3D brain tumor MRIs: A robustness analysis points out the need for standardizationD. Molina, J. Pérez-Beteta, A. Martínez-González, C. Velásquez, J. Martino, B. Luque, A. Revert, I. Herruzo, E. Arana, V. M. Pérez-GarcíaNeuro-Oncology 19 (3): iii44 (2017)
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Towards individualized survival prediction in glioblastoma patients using machine learning methodsL. Vera, J. Pérez-Beteta, D. Molina, J. M. Borrás, M. Benavides, J. A. Barcia, C. Velásquez, D. Albillo, P. Lara, V. M. Pérez-GarcíaNeuro-Oncology 19(3):iii84-iii84 (2017)
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Influence of grey level and space discretization on brain tumor heterogeneity measures obtained from MRIsD. Molina, J. Pérez-Beteta, A. Martínez-González, J. Martino, C. Velasquez, E. Arana, V. M. Pérez-GarcíaComputers in Biology and Medicine 78, 49-57 (2016)
Projects
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James S. Mc Donnell Foundation (USA) (2015 - 2016)
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James S. Mc. Donnell Foundation (USA) (2015 - 2018)
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James S. Mc. Donnell Foundation (USA) (2018 - 2021)
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FECYT: Fundación Española para la Ciencia y la Tecnología (2018 - 2020)
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Ministerio de Ciencia e Innovación (Spain) (2020 - 2023)
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Ministerio de Economía y Competitividad (2016 - 2019)
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Junta de Andalucía (2020 - 2023)
Members
- Victor M. Pérez García
- Alicia Martínez González
- Luis Vera
- Carlos Velásquez
- François M. Vallette
- Philippe Schucht
- María Rosa Durán
- Julián Pérez Beteta
- David Molina García
- Álvaro Martínez Rubio
- Juan Jiménez Sánchez
- Gabriel Fernández Calvo
- Salvador Chulián
- Jesús Bosque Martínez
- Juan Belmonte Beitia
- Estanislao Arana
- José David Albillo Labarra