Radiobiology of Glioblastoma Recent Advances and Related Pathobiology /
This text properly considers the most recent and relevant advances in molecular RB of GB, taking into account the related topics of pathobiology, and underscores the most promising translational perspectives from the preclinical to the clinical domain. Section I (From Bedside to Bench) discusses con...
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| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Humana Press,
2016.
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| Series: | Current Clinical Pathology,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Introduction and Background
- The “Radio-resistance” of Glioblastoma in the Clinical Setting, and the Present Therapeutic Options
- Radiobiological Hints from Clinical Studies
- Chemo-radiotherapy: Radiation Total Dose and Fractionation
- Clinical Evidence and Radiobiological Background of Particle Radiation Therapy
- Mathematical Modeling of Radiobiological Parameters from Clinical Studies
- Clinical, Pathology and Molecular Prognostic Parameters of Response to Chemo- and Radiotherapy from Clinical Series
- Radiation Tolerance of Normal Brain: QUANTEC 2010 and Beyond
- Basic Knowledge of Glioblastoma Radiobiology
- Molecular Radiobiology and Mathematical Modeling
- Genetic and Epigenetic Determinants in Tumor Initiation and Progression
- Tumor Microenvironment
- Cell Death Pathways, with Special Regard to Ionizing Radiation and Temozolomide Therapy
- mi-RNA Manipulation in Modifying Radiation Sensitivity in Glioblastoma Models
- Glioma Stem-like Cells and Radiation Resistance
- Hypoxia and Radiation Resistance
- Invasiveness and Radiation Failures
- Nanoparticle Technology for Research Radiobiology
- The Molecular Classification of Glioblastoma as a Translational Instrument
- Translational Perspectives for Gene Therapy
- Pre-Clinical Models of Glioblastoma in Radiobiology: Evolving Protocols and Research Methods
- From Molecular to Clinical Radiation Biology
- Perspectives of the Large Data-Bases and Ontologic Models of Correlation of Pre-clinical and Clinical Results
- Conclusive Remarks and Perspectives for Future Research.
