Pre-Clinical Research
Computational Bioinformatic Studies
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Patients’ datasets integrating tumor molecular profiling and patient survival data uncover candidate biomarker genes for diagnostic tumor subtyping and personalized treatment.
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Data mining and virtual drug screening to identify targets and candidate drugs
Pre-clinical Testing In Vitro
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Glioblastoma cells grown in cell culture dishes, neurosphere cultures, 3-D Organoids to recapitulate patient’ tumor features, and models to mimic the blood brain barrier, or tumor blood vessel formation (angiogenesis).
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Screening and testing new chemotherapy, targeted therapy, FDA-approved drugs, radiation, natural products.
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Drug selectivity to target cancer cells and spare normal cells.
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Candidate drugs are tested alone and combined to other treatments to evaluate inhibition of proliferation and cell killing
Pre-clinical Testing In Vivo
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In vitro pre-clinical findings are validated for safety and efficacy in mice or rat glioblastoma models before clinical evaluation in humans.
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Glioblastoma patient-derived xenograft (PDX) models represent intratumoral heterogeneity and invasiveness of the original tumor and predict response to treatment.
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High cost and technical expertise limit the translation of in vivo findings into clinical trials.