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Biological molecular layer classification of muscle-invasive bladder cancer opens new treatment opportunities.

Lucía Trilla-FuertesAngelo Gámez-PozoGuillermo Prado-VázquezAndrea Zapater-MorosMariana Díaz-AlmirónJorge M ArevalilloMaría Ferrer-GómezHilario NavarroPaloma MaínEnrique EspinosaÁlvaro PintoJuan Ángel Fresno Vara
Published in: BMC cancer (2019)
Our approach, based on layer analyses, established a Luminal group candidate for therapy with androgen receptor inhibitors, a proliferative Basal group which seems to be a good candidate for chemotherapy, and an immune-high group candidate for immunotherapy.
Keyphrases
  • muscle invasive bladder cancer
  • machine learning
  • deep learning
  • squamous cell carcinoma
  • stem cells
  • mesenchymal stem cells
  • bone marrow
  • single molecule
  • cell therapy
  • rectal cancer