Integrative analysis of spatial and single-cell transcriptome data from human pancreatic cancer reveals an intermediate cancer cell population associated with poor prognosis.

Seongryong KimGalam LeemJunjeong ChoiYongjun KohSuho LeeSang-Hee NamJin Su KimChan Hee ParkHo Kyoung HwangKyoung Il MinJung Hyun JoHee Seung LeeMoon Jae ChungJeong Youp ParkSeung Woo ParkSi Young SongEui-Cheol ShinChang Moo KangSeungmin BangJong-Eun Park

Published in: Genome medicine (2024)

This integrative analysis not only provides a comprehensive landscape of pancreatic cancer and fibroblast population, but also suggests a novel insight to the dynamic states of pancreatic cancer cells and unveils potential therapeutic targets.

Keyphrases

poor prognosis
single cell
rna seq
long non coding rna
endothelial cells
high throughput
gene expression
electronic health record
induced pluripotent stem cells
network analysis
genome wide
big data
dna methylation
pluripotent stem cells
climate change
human health
artificial intelligence