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Functional Precision Oncology: Next-generation treatment rationale for glioblastoma Mapping the drug response heterogeneity using single cell protein analysis KU Leuven
Glioblastoma (GBM) is the most aggressive brain cancer in adults. In spite of intensive treatment, median survival is still only 15 months. Reasons that explain failure to develop more efficient therapies include the high invasiveness of the tumor, its complex genetics, and interpatient and intra-tumoral heterogeneity. Understanding and mapping the complexity of the different tumour cell populations and how each of these respond to therapy, ...
Functional Precision Oncology: The Next Frontier to Improve Glioblastoma Outcome? KU Leuven
Glioblastoma remains the most malignant and intrinsically resistant brain tumour in adults. Despite intensive research over the past few decades, through which numerous potentially druggable targets have been identified, virtually all clinical trials of the past 20 years have failed to improve the outcome for the vast majority of GBM patients. The observation that small subgroups of patients displayed a therapeutic response across several ...
Reporting Magnetic Resonance Imaging in Men on Active Surveillance for Prostate Cancer: The PRECISE Recommendations-A Report of a European School of Oncology Task Force KU Leuven
BACKGROUND: Published data on prostate magnetic resonance imaging (MRI) during follow-up of men on active surveillance are lacking. Current guidelines for prostate MRI reporting concentrate on prostate cancer (PCa) detection and staging. A standardised approach to prostate MRI reporting for active surveillance will facilitate the robust collection of evidence in this newly developing area. OBJECTIVE: To develop preliminary recommendations for ...
Single-cell molecular profiling using ex vivo functional readouts fuels precision oncology in glioblastoma Universiteit Gent Universiteit Hasselt KU Leuven Vlaams Instituut voor Biotechnologie
Background Functional profiling of freshly isolated glioblastoma (GBM) cells is being evaluated as a next-generation method for precision oncology. While promising, its success largely depends on the method to evaluate treatment activity which requires sufficient resolution and specificity. Methods Here, we describe the 'precision oncology by single-cell profiling using ex vivoreadouts of functionality' (PROSPERO) assay to evaluate the intrinsic ...
Evaluation of single-sample network inference methods for precision oncology Universiteit Gent Vlaams Instituut voor Biotechnologie
A major challenge in precision oncology is to detect targetable cancer vulnerabilities in individual patients. Modeling high-throughput omics data in biological networks allows identifying key molecules and processes of tumorigenesis. Traditionally, network inference methods rely on many samples to contain sufficient information for learning, resulting in aggregate networks. However, to implement patient-tailored approaches in precision ...
RNA based approaches to profile oncogenic pathways from low quantity samples to drive precision oncology strategies Universiteit Antwerpen
Precision treatment of cancer requires knowledge on active tumor driving signal transduction pathways to select the optimal effective targeted treatment. Currently only a subset of patients derive clinical benefit from mutation based targeted treatment, due to intrinsic and acquired drug resistance mechanisms. Phenotypic assays to identify the tumor driving pathway based on protein analysis are difficult to multiplex on routine pathology ...