Research output per year
Research output per year
Project Details
Description
Our major research interest is the improvement of the diagnosis, treatment and therapy response follow-up of abnormal brain masses, using noninvasive monitoring tools based in Nuclear Magnetic Resonance. With this major goal in mind, several sublines related to MR methodology are being investigated, which include:
- Treatment with conventional or novel therapeutic agents and response follow-up of preclinical brain tumour models.
- Search for molecular surrogate biomarkers of in vivo tumor therapy response, through in vitro, ex vivo and in vivo studies of cell lines, animal models and their biopsies. Correlation with molecular and cellular parameters (histopathology, genomics). Potential translation to clinical practice.
- In vivo molecular phenotyping of tumor progression and therapy response.
- Classifier development and their implementation into decision-support systems (DSS) for helping in clinical decision making in an evidence-based medicine context.
- Characterization of the type and grade of human brain tumors and other neural pathologies by imaging (MRI) and in vivo magnetic resonance spectroscopy (MRS, MRSI). Therapy response characterization in treated patients, using pattern recognition tools developed with preclinical models.
- Treatment with conventional or novel therapeutic agents and response follow-up of preclinical brain tumour models.
- Search for molecular surrogate biomarkers of in vivo tumor therapy response, through in vitro, ex vivo and in vivo studies of cell lines, animal models and their biopsies. Correlation with molecular and cellular parameters (histopathology, genomics). Potential translation to clinical practice.
- In vivo molecular phenotyping of tumor progression and therapy response.
- Classifier development and their implementation into decision-support systems (DSS) for helping in clinical decision making in an evidence-based medicine context.
- Characterization of the type and grade of human brain tumors and other neural pathologies by imaging (MRI) and in vivo magnetic resonance spectroscopy (MRS, MRSI). Therapy response characterization in treated patients, using pattern recognition tools developed with preclinical models.
| Acronym | GABRMN |
|---|---|
| Status | Active |
| Effective start/end date | 1/01/07 → 31/12/30 |
Collaborative partners
Funding
- Instituto de Salud Carlos III (ISCIII): €1,748,010.00
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology
Julià-Sapé, M., 10 Jan 2024, In: Cancers. 16, 2, 55 p., 300.Research output: Contribution to journal › Review article › Research › peer-review
Open Access1 Citation (Scopus)2 Downloads (Pure) -
Correlation of MR-Based Metabolomics and Molecular Profiling in the Tumor Microenvironment of Temozolomide-Treated Orthotopic GL261 Glioblastoma in Mice
Zhao, K., Bopp, M. H. A., Möschl, V., Pagenstecher, A., Mulero-Acevedo, M., Vázquez, M., Barcia, C., Arús i Caraltó, C., Nimsky, C., Rusch, T., Bartsch, J. W. & Candiota Silveira, A. P., 2023, In: International Journal of Molecular Sciences. 24, 24Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Platinum-Based Nanoformulations for Glioblastoma Treatment : The Resurgence of Platinum Drugs?
Alfonso-Triguero, P., Lorenzo, J., Candiota, A. P., Arús i Caraltó, C., Ruiz-Molina, D. & Novio, F., May 2023, In: Nanomaterials. 13, 10, 1619.Research output: Contribution to journal › Article › Research › peer-review
Open Access5 Citations (Scopus)