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Get Free AccessCurrent approaches to staging chronic liver diseases have limited utility for predicting liver cancer risk. Here, we employed single-nucleus RNA sequencing (snRNA-seq) to characterize the cellular microenvironment of healthy and pre-malignant livers using two distinct mouse models. Downstream analyses unraveled a previously uncharacterized disease-associated hepatocyte (daHep) transcriptional state. These cells were absent in healthy livers but increasingly prevalent as chronic liver disease progressed. Copy number variation (CNV) analysis of microdissected tissue demonstrated that daHep-enriched regions are riddled with structural variants, suggesting these cells represent a pre-malignant intermediary. Integrated analysis of three recent human snRNA-seq datasets confirmed the presence of a similar phenotype in human chronic liver disease and further supported its enhanced mutational burden. Importantly, we show that high daHep levels precede carcinogenesis and predict a higher risk of hepatocellular carcinoma development. These findings may change the way chronic liver disease patients are staged, surveilled, and risk stratified.
Rodrigo Carlessi, Elena Denisenko, Ebru Boslem, Julia Köhn‐Gaone, Nathan Main, N. Dianah B. Abu Bakar, Gayatri D. Shirolkar, Matthew Jones, Aaron B. Beasley, Daniel Poppe, Benjamin J. Dwyer, Connie Jackaman, M. Christian Tjiam, Ryan Lister, Michael Karin, Jonathan Fallowfield, Timothy J. Kendall, Stuart J. Forbes, Elin S. Gray, John K. Olynyk, George C. Yeoh, Alistair R. R. Forrest, Grant A. Ramm, Mark A. Febbraio, Janina E. E. Tirnitz‐Parker (2023). Single-nucleus RNA sequencing of pre-malignant liver reveals disease-associated hepatocyte state with HCC prognostic potential. , 3(5), DOI: https://doi.org/10.1016/j.xgen.2023.100301.
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Type
Article
Year
2023
Authors
25
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1016/j.xgen.2023.100301
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