Characterization of primary normal and malignant breast cancer cell and their response to chemotherapy and immunostimulatory agents.

Anna A NushtaevaGrigory A StepanovDmitry V SemenovEvgeny S JuravlevEvgenia A BalahonovaAlexey V GerasimovSergey V SidorovEugeniy I SavelyevElena V KuliginaVladimir A RichterOlga A Koval

Published in: BMC cancer (2018)

Our data demonstrated that primary cancer cells are a useful model for the development of novel cancer treatments. Our findings suggest that expression of IFIT3 mRNA can be used as a prognostic marker of breast cancer cell sensitivity to immunostimulating therapeutics.

Keyphrases

poor prognosis
papillary thyroid
binding protein
single cell
small molecule
electronic health record
squamous cell
childhood cancer
radiation therapy
young adults
machine learning
mesenchymal stem cells
artificial intelligence
data analysis
deep learning