Researchers recently witnessed a sudden transcriptomic change that turns healthy liver tissue cancerous. They observe it by combining RNA sequencing, bioinformatics, and mathematical modeling. Researchers later used the collected data to develop a quantitative analytical tool that evaluates cancer risk in patients with chronic liver disease. After analyzing the math model on a mouse, researchers used the analytical tool on humans and were able to predict which people had cancer and which had chronic liver disease. However, researchers believe further testing is required before it can be used in a clinical setting.
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