Beyond Imaging and Genetic Signature in Glioblastoma: Radiogenomic Holistic Approach in Neuro-Oncology.
Lidia GattoEnrico FranceschiAlicia TosoniVincenzo Di NunnoCaterina TononRaffaele LodiRaffaele AgatiStefania BartoliniAlba Ariela BrandesPublished in: Biomedicines (2022)
Glioblastoma (GBM) is a malignant brain tumor exhibiting rapid and infiltrative growth, with less than 10% of patients surviving over 5 years, despite aggressive and multimodal treatments. The poor prognosis and the lack of effective pharmacological treatments are imputable to a remarkable histological and molecular heterogeneity of GBM, which has led, to date, to the failure of precision oncology and targeted therapies. Identification of molecular biomarkers is a paradigm for comprehensive and tailored treatments; nevertheless, biopsy sampling has proved to be invasive and limited. Radiogenomics is an emerging translational field of research aiming to study the correlation between radiographic signature and underlying gene expression. Although a research field still under development, not yet incorporated into routine clinical practice, it promises to be a useful non-invasive tool for future personalized/adaptive neuro-oncology. This review provides an up-to-date summary of the recent advancements in the use of magnetic resonance imaging (MRI) radiogenomics for the assessment of molecular markers of interest in GBM regarding prognosis and response to treatments, for monitoring recurrence, also providing insights into the potential efficacy of such an approach for survival prognostication. Despite a high sensitivity and specificity in almost all studies, accuracy, reproducibility and clinical value of radiomic features are the Achilles heel of this newborn tool. Looking into the future, investigators' efforts should be directed towards standardization and a disciplined approach to data collection, algorithms, and statistical analysis.
Keyphrases
- poor prognosis
- magnetic resonance imaging
- clinical practice
- gene expression
- palliative care
- long non coding rna
- end stage renal disease
- current status
- newly diagnosed
- ejection fraction
- chronic kidney disease
- high resolution
- computed tomography
- dna methylation
- single molecule
- free survival
- deep learning
- magnetic resonance
- genome wide
- risk assessment
- big data
- mass spectrometry
- smoking cessation
- photodynamic therapy
- artificial intelligence
- case control
- patient reported
- basal cell carcinoma