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Cancer stem cell transcriptome landscape reveals biomarkers driving breast carcinoma heterogeneity.

Zhifa ZhangXiao ChenJianying ZhangKostya Ken Ostrikov
Published in: Breast cancer research and treatment (2021)
Our study contributes in identifying a CSC feature panel for breast carcinomas that drives breast carcinoma heterogeneity at the transcriptional level, which provides a reservoir for diagnostic marker and/or therapeutic target identification once experimentally validated as demonstrated by ATP6V1B1.
Keyphrases
  • single cell
  • cancer stem cells
  • rna seq
  • gene expression
  • machine learning
  • high grade
  • genome wide
  • oxidative stress
  • heat shock