Patient-specific ex vivo models of human tumours that recapitulate the pathological
characteristics and complex ecology of native tumours could help determine the most …

A physiologically relevant glioma tumor model is important to the study of disease
progression and screening drug candidates. However, current preclinical glioma models …

Many drugs show promising results in laboratory research but eventually fail clinical trials.
We hypothesize that one main reason for this translational gap is that current cancer models …

Glioblastoma (GBM) is the most common and devastating primary brain tumor, leading to a
uniform fatality after diagnosis. A major difficulty in eradicating GBM is the presence of …

Glioblastoma multiforme (GBM) is the most lethal primary brain tumor characterized by high
cellular and molecular heterogeneity, hypervascularization, and innate drug resistance …

Glioblastoma‐associated macrophages (GAMs) play a crucial role in the progression and
invasiveness of glioblastoma multiforme (GBM); however, the exact crosstalk between GAMs …

Frequent discrepancies between preclinical and clinical results of anticancer agents
demand a reliable translational platform that can precisely recapitulate the biology of human …

The tumor microenvironment plays a critical role in tumor growth, progression, and
therapeutic resistance, but interrogating the role of specific tumor-stromal interactions on …

Cancer treatment is challenged by the heterogeneous nature of cancer, where prognosis
depends on tumor type and disease stage, as well as previous treatments. Optimal patient …

Glioblastoma is the most common and deadly primary brain malignancy. Despite advances
in precision medicine oncology (PMO) allowing the identification of molecular vulnerabilities …