TABLE 2.
Tumor model | 3D culture | Microfluidic device | Notes | References |
---|---|---|---|---|
Lung | ✓ | Identification of therapeutic targets based on NGS results of patient-derived organoids | Yokota et al. (2021) | |
Metastatic colorectal cancer | ✓ | Test on drug sensitivity and resistance using a gel-free 3D cutlure device | Sogawa et al. (2021) | |
Triple-negative breast cancer | ✓ | Multi-parametric profiling of drug sensitivity on individual tumor types | Cromwell et al. (2022) | |
Cervical tissue | ✓ | Endo- and ectocervical derived organoids that can recapitulate in vitro the viral infections (e.g. HPV) cause of the cervival cancer | Lõ et al. (2021) | |
Liver | ✓ | Bio-active silk 3D tunable matrix that enable prolonged growth, high metabolic activity and overall enhancement of tumor properties | Arora et al. (2021) | |
Glioblastoma | ✓ | Optimization of defined media and protocol for culturing glioblastoma organoids, used to model personalized CAR-T immunotherapy | Jacob et al. (2020) | |
Pancreas | ✓ | Tumoroid profiling, using a multi-omics approach, to identify molecular and functional cancer subtypes to predict therapeutic responses | Tiriac et al. (2018) | |
Rectal cancer | ✓ | Living biobank of 80 patient-derived rectal cancer tumoroids. They demonstrated to accurately confirm the clinical outcomes of locally advanced rectal cancer (LARC) | Yao et al. (2020) |