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Functional States in Tumor-Initiating Cell Differentiation in Human Colorectal Cancer

Authors :
Ava Oberlack
Mathias Kalxdorf
Katharina Jechow
Mark Kriegsmann
Stephan M Tirier
Jeroen Krijgsveld
Christian Conrad
Roland Eils
Karin Laaber
Torsten Müller
Teresa G Krieger
Martin Schneider
Friederike Herbst
Mario Huerta
Sebastian M. Dieter
Claudia R. Ball
Robert Lorenz Chua
Foo Wei Ten
Martina K. Zowada
Katharina Kriegsmann
Jeongbin Park
Hanno Glimm
Source :
Cancers, Vol 13, Iss 1097, p 1097 (2021), Cancers, Volume 13, Issue 5
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Simple Summary Different types of cells with tumor-initiating cell (TIC) activity contribute to colorectal cancer (CRC) progression and resistance to anti-cancer treatment. In this study, we aimed to understand whether different cell types exist within a patient-derived tumor culture, distinguishable by different patterns of their gene expression. By mRNA sequencing of patient-derived CRC cultures at the single-cell level, we defined expression programs that closely resemble differentiated cell populations of the normal intestine. Here, cell type-associated subpopulations showed differences in functional properties such as cell growth and energy metabolism. Subsequent functional analyses in vitro and in vivo demonstrated that metabolic states are linked to TIC activity in primary CRC cultures. We also show that TIC activity is dependent on oxidative phosphorylation, which may therefore represent a target for novel therapies. Abstract Intra-tumor heterogeneity of tumor-initiating cell (TIC) activity drives colorectal cancer (CRC) progression and therapy resistance. Here, we used single-cell RNA-sequencing of patient-derived CRC models to decipher distinct cell subpopulations based on their transcriptional profiles. Cell type-specific expression modules of stem-like, transit amplifying-like, and differentiated CRC cells resemble differentiation states of normal intestinal epithelial cells. Strikingly, identified subpopulations differ in proliferative activity and metabolic state. In summary, we here show at single-cell resolution that transcriptional heterogeneity identifies functional states during TIC differentiation. Furthermore, identified expression signatures are linked to patient prognosis. Targeting transcriptional states associated to cancer cell differentiation might unravel novel vulnerabilities in human CRC.

Details

Language :
English
ISSN :
20726694
Volume :
13
Issue :
1097
Database :
OpenAIRE
Journal :
Cancers
Accession number :
edsair.doi.dedup.....93275a2f81dd2a7d12d51b5498ddae82