Single-Cell RNA Sequencing Reveals the Tissue Architecture in Human High-Grade Serous Ovarian Cancer.

Junfen Xu Yifeng Fang Kelie Chen Sen Li Sangsang Tang Yan Ren Yixuan Cen Weidong FeiBo ZhangYuanming Shen Wei-Guo Lv

Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2022)

Our transcriptomic results analyzed by scRNA-seq delineate an ecosystemic landscape of HGSOC at early or late stages with a focus on its heterogeneity with TME. The major applications of our findings are a four-EMT gene model for prediction of HGSOC patient outcomes, mCAFs' capability of enhancing ovarian cancer cell invasion and potential therapeutic value of anti-TIGIT treatment.

Keyphrases

single cell
high grade
rna seq
low grade
high throughput
endothelial cells
epithelial mesenchymal transition
genome wide
copy number
combination therapy
gene expression