Early Identification of At-Risk Patients: ProteomicSignature Predicts Progression to DecompensatedCirrhosis
Marie Louise N. Therkelsen, Nicolai J. Wewer Albrechtsen, Mikkel Parsberg Werge, Mira Thing, Puria Nabilou, Elias Badal Rashu, Liv Eline Hetland, Signe Boye Knudsen, Anders Ellekaer Junker, Elisabeth Douglas Galsgaard, Jesper Velgaard Olsen, Mads Grønborg, Nina Kimer, Lise Lotte Gluud
This paper identifies a four-protein proteomic signature that predicts progression to decompensated cirrhosis with high accuracy in both training and external validation cohorts.
bioRxiv · Mar 5, 2026 · PreprintBioinformatics