Computational Identification of Preneoplastic Cells Displaying High Stemness and Risk of Cancer Progression.

Tianyuan Liu Xuan Zhao Yuan LinQi LuoShaosen ZhangYiyi XiYamei ChenLin LinWenyi FanJie YangYuling MaAlok K MaityYanyi HuangJianbin WangJiang ChangDongxin LinAndrew E Teschendorff Chen Wu

Published in: Cancer research (2022)

This study develops a computational strategy to dissect the heterogeneity of differentiation states within a preneoplastic cell population, allowing identification of stem-like cells that may drive cancer progression.

Keyphrases

papillary thyroid
single cell
squamous cell
induced apoptosis
stem cells
epithelial mesenchymal transition
cell cycle arrest
cell therapy
lymph node metastasis
squamous cell carcinoma
childhood cancer
oxidative stress
bioinformatics analysis
cell death
mesenchymal stem cells
young adults
cancer stem cells