Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data.
Ke LiuPatrick A NewburyBenjamin S GlicksbergWilliam Z D ZengShreya PaithankarEran R AndrechekBin ChenPublished in: Nature communications (2019)
Cell lines are widely-used models to study metastatic cancer although the extent to which they recapitulate the disease in patients remains unknown. The recent accumulation of genomic data provides an unprecedented opportunity to evaluate the utility of them for metastatic cancer research. Here, we reveal substantial genomic differences between breast cancer cell lines and metastatic breast cancer patient samples. We also identify cell lines that more closely resemble the different subtypes of metastatic breast cancer seen in the clinic and show that surprisingly, MDA-MB-231 cells bear little genomic similarities to basal-like metastatic breast cancer patient samples. Further comparison suggests that organoids more closely resemble the transcriptome of metastatic breast cancer samples compared to cell lines. Our work provides a guide for cell line selection in the context of breast cancer metastasis and highlights the potential of organoids in these studies.
Keyphrases
- metastatic breast cancer
- copy number
- papillary thyroid
- squamous cell carcinoma
- end stage renal disease
- small cell lung cancer
- case report
- squamous cell
- genome wide
- single cell
- chronic kidney disease
- electronic health record
- induced apoptosis
- gene expression
- newly diagnosed
- childhood cancer
- cell cycle arrest
- primary care
- peritoneal dialysis
- young adults
- risk assessment
- lymph node metastasis
- breast cancer cells
- artificial intelligence
- human health