Comparison of Glioblastoma Cell Culture Platforms Based on Transcriptional Similarity with Paired Tissue.
Junseong ParkIlkyoo KohJunghwa ChaYoojung OhJin-Kyoung ShimHyejin KimJu Hyung MoonKyung Hwan KimJong Hee ChangPilnam KimSeok-Gu KangPublished in: Pharmaceuticals (Basel, Switzerland) (2024)
No standardized in vitro cell culture models for glioblastoma (GBM) have yet been established, excluding the traditional two-dimensional culture. GBM tumorspheres (TSs) have been highlighted as a good model platform for testing drug effects and characterizing specific features of GBM, but a detailed evaluation of their suitability and comparative performance is lacking. Here, we isolated GBM TSs and extracellular matrices (ECM) from tissues obtained from newly diagnosed IDH1 wild-type GBM patients and cultured GBM TSs on five different culture platforms: (1) ordinary TS culture liquid media (LM), (2) collagen-based three-dimensional (3D) matrix, (3) patient typical ECM-based 3D matrix, (4) patient tumor ECM-based 3D matrix, and (5) mouse brain. For evaluation, we obtained transcriptome data from all cultured GBM TSs using microarrays. The LM platform exhibited the most similar transcriptional program to paired tissues based on GBM genes, stemness- and invasiveness-related genes, transcription factor activity, and canonical signaling pathways. GBM TSs can be cultured via an easy-to-handle and cost- and time-efficient LM platform while preserving the transcriptional program of the originating tissues without supplementing the ECM or embedding it into the mouse brain. In addition to applications in basic cancer research, GBM TSs cultured in LM may also serve as patient avatars in drug screening and pre-clinical evaluation of targeted therapy and as standardized and clinically relevant models for precision medicine.
Keyphrases
- transcription factor
- gene expression
- newly diagnosed
- endothelial cells
- case report
- wild type
- high throughput
- end stage renal disease
- signaling pathway
- stem cells
- extracellular matrix
- ejection fraction
- machine learning
- peritoneal dialysis
- oxidative stress
- electronic health record
- quality improvement
- ionic liquid
- papillary thyroid
- rna seq
- cell proliferation
- endoplasmic reticulum stress
- lymph node metastasis
- adverse drug
- induced apoptosis