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Pre-Clinical Research​

Computational Bioinformatic Studies ​

  • Patients’ datasets integrating tumor molecular profiling and patient survival data uncover candidate biomarker genes for diagnostic tumor subtyping and personalized treatment. ​

  • Data mining and virtual drug screening to identify targets and candidate drugs

Pre-clinical Testing In Vitro ​

  • 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).​

  • Screening and testing new chemotherapy, targeted therapy, FDA-approved drugs, radiation, natural products.​

  • Drug selectivity to target cancer cells and spare normal cells.​

  • Candidate drugs are tested alone and combined to other treatments to evaluate inhibition of proliferation and cell killing

Pre-clinical Testing In Vivo ​

  • In vitro pre-clinical findings are validated for safety and efficacy in mice or rat glioblastoma models before clinical evaluation in humans. ​

  • Glioblastoma patient-derived xenograft (PDX) models represent intratumoral heterogeneity and invasiveness of the original tumor and predict response to treatment.​

  • High cost and technical expertise limit the translation of in vivo findings into clinical trials.

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