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Optimizing live-animal bioluminescence imaging prediction of tumor burden in human prostate cancer xenograft models in SCID-NSG mice.

Sangyub KimYong ZhangSuni TangChongtao QinDeepkamal KareliaArati SharmaCheng JiangJunxuan Lü
Published in: The Prostate (2019)
Our body of work highlighted a framework to validate imaging protocols to ensure the acquisition of interpretable BLI data as an indicator of xenograft tumor burden. The vast tissue heterogeneity in prostate tumor xenografts and variable luciferase expression constrained this technology from achieving a high correlation.
Keyphrases
  • prostate cancer
  • high resolution
  • endothelial cells
  • radical prostatectomy
  • poor prognosis
  • big data
  • binding protein
  • artificial intelligence
  • high fat diet induced
  • quantum dots
  • pluripotent stem cells