| Autor: |
Rodrigo Carlessi, Elena Denisenko, Ebru Boslem, Julia Koehn-Gaone, Nathan Main, N. Dianah B. Abu Bakar, Gayatri D. Shirolkar, Matthew Jones, Daniel Poppe, Benjamin J. Dwyer, Connie Jackaman, M. Christian Tjiam, Ryan Lister, Michael Karin, Jonathan A. Fallowfield, Timothy J. Kendall, Stuart J. Forbes, John K. Olynyk, George Yeoh, Alistair R. R. Forrest, Grant A. Ramm, Mark A. Febbraio, Janina E. E. Tirnitz-Parker |
| Rok vydání: |
2022 |
| DOI: |
10.1101/2022.03.25.485695 |
| Popis: |
SUMMARYCurrent approaches to stage chronic liver diseases have limited utility to directly predict liver cancer risk. Here, we employed single nucleus RNA sequencing (snRNA-seq) to characterize the cellular microenvironment of healthy and chronically injured pre-malignant livers using two distinct mouse models. Analysis of 40,748 hepatic nuclei unraveled a previously uncharacterized disease-associated hepatocyte transcriptional state (daHep). These cells were absent in healthy livers, but were increasingly prevalent as chronic liver disease progressed towards hepatocarcinogenesis. Gene expression deconvolution of 1,439 human liver transcriptomes from publicly available datasets revealed that daHep frequencies highly correlate with current histopathological liver disease staging systems. Importantly, we show that high daHep levels precede carcinogenesis in mice and humans and predict a higher risk of hepatocellular carcinoma (HCC) development. This novel transcriptional signature with diagnostic and, more importantly, prognostic significance has the potential to change the way chronic liver disease patients are staged, surveilled and risk-stratified. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
