Bioinformatic analysis of molecular expression patterns during the development and progression of metabolic dysfunction-associated steatotic liver disease (MASLD).

The global incidence of metabolic dysfunction-associated steatotic liver disease (MASLD) continues to rise, primarily driven by the escalating obesity epidemic worldwide. MASLD, a spectrum of liver disorders, can progress to more severe conditions, metabolic dysfunction-associated steatohepatitis (MASH), ultimately culminating in hepatocellular carcinoma (HCC). Given the complex nature of MASLD, there is an urgent need to develop robust risk prediction models and design specialized cancer screening initiatives tailored specifically for individuals with MASLD.