Biobanked Glioblastoma Patient-Derived Organoids as a Precision Medicine Model to Study Inhibition of Invasion.
Emilie DarriguesEdward H ZhaoAnnick De LooseMadison P LeeMichael J BorrelliRobert L EoffDeni S GalileoNarsimha R PenthalaPeter A CrooksAnaliz RodriguezPublished in: International journal of molecular sciences (2021)
Glioblastoma (GBM) is highly resistant to treatment and invasion into the surrounding brain is a cancer hallmark that leads to recurrence despite surgical resection. With the emergence of precision medicine, patient-derived 3D systems are considered potentially robust GBM preclinical models. In this study, we screened a library of 22 anti-invasive compounds (i.e., NF-kB, GSK-3-B, COX-2, and tubulin inhibitors) using glioblastoma U-251 MG cell spheroids. We evaluated toxicity and invasion inhibition using a 3D Matrigel invasion assay. We next selected three compounds that inhibited invasion and screened them in patient-derived glioblastoma organoids (GBOs). We developed a platform using available macros for FIJI/ImageJ to quantify invasion from the outer margin of organoids. Our data demonstrated that a high-throughput invasion screening can be done using both an established cell line and patient-derived 3D model systems. Tubulin inhibitor compounds had the best efficacy with U-251 MG cells, however, in ex vivo patient organoids the results were highly variable. Our results indicate that the efficacy of compounds is highly related to patient intra and inter-tumor heterogeneity. These results indicate that such models can be used to evaluate personal oncology therapeutic strategies.
Keyphrases
- cell migration
- high throughput
- signaling pathway
- oxidative stress
- induced apoptosis
- stem cells
- squamous cell carcinoma
- immune response
- case report
- palliative care
- mesenchymal stem cells
- big data
- inflammatory response
- bone marrow
- machine learning
- young adults
- toll like receptor
- multiple sclerosis
- blood brain barrier
- induced pluripotent stem cells
- lymph node metastasis