Introduction of Androgen Receptor Targeting shRNA Inhibits Tumor Growth in Patient-Derived Prostate Cancer Xenografts.
Patrick B ThomasSaeid AlinezhadAndre JoshiKatrina SweeneyBrian W-C TseGregor TevzStephen McPhersonColleen C NelsonElizabeth D WilliamsIan VelaPublished in: Current oncology (Toronto, Ont.) (2023)
Patient-derived xenograft (PDX) models have been established as important preclinical cancer models, overcoming some of the limitations associated with the use of cancer cell lines. The utility of prostate cancer PDX models has been limited by an inability to genetically manipulate them in vivo and difficulties sustaining PDX-derived cancer cells in culture. Viable, short-term propagation of PDX models would allow in vitro transfection with traceable reporters or manipulation of gene expression relevant to different studies within the prostate cancer field. Here, we report an organoid culture system that supports the growth of prostate cancer PDX cells in vitro and permits genetic manipulation, substantially increasing the scope to use PDXs to study the pathobiology of prostate cancer and define potential therapeutic targets. We have established a short-term PDX-derived in vitro cell culture system which enables genetic manipulation of prostate cancer PDXs LuCaP35 and BM18. Genetically manipulated cells could be re-established as viable xenografts when re-implanted subcutaneously in immunocompromised mice and were able to be serially passaged. Tumor growth of the androgen-dependent LuCaP35 PDX was significantly inhibited following depletion of the androgen receptor (AR) in vivo. Taken together, this system provides a method to generate novel preclinical models to assess the impact of controlled genetic perturbations and allows for targeting specific genes of interest in the complex biological setting of solid tumors.
Keyphrases
- prostate cancer
- radical prostatectomy
- gene expression
- induced apoptosis
- genome wide
- papillary thyroid
- dna methylation
- type diabetes
- copy number
- cell cycle arrest
- stem cells
- squamous cell
- metabolic syndrome
- risk assessment
- mesenchymal stem cells
- oxidative stress
- climate change
- transcription factor
- lymph node metastasis