Peer-Reviewed Publication
Hepatology2026October 2, 2026Journal Article

TESERA: morphologic subtyping and prognostic stratification of hepatocellular carcinoma from H&E whole-slide images.

Tyler M Yasaka1,2,3,4,5, Shaila Afrin5,6, Po-Yuan Chen5, Laura M Molina1,4,7, Chang Kyung Kim1,2,4, Prerna Chakkingal1,2,4, Anisha Jain1,2,3,4, Brandon M Lehrich1,2,3,4, Sucha Singh1,2, Minakshi Poddar1,2, Rebekah E Dadey5,8, Aatur D Singhi4,7, Riyue Bao5,8, Kiyoko Oshima7, Dhanpat Jain9, Satdarshan P Monga1,2,4,5,10, Yu-Chiao Chiu4,5,6,8
1Organ Pathobiology and Therapeutics Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
2Department of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
3Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
4Pittsburgh Liver Research Center, University of Pittsburgh Medical Center and University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
5University of Pittsburgh Medical Center Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA 15232, USA.
6Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
7Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
8Division of Malignant Hematology and Medical Oncology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
9Department of Pathology, Yale School of Medicine, New Haven, CT 06510, USA.
10Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.

Abstract

BACKGROUND AIMS: Hepatocellular carcinoma (HCC) remains among the most lethal cancers worldwide, yet few tools exist to characterize HCC biology and stratify patient risk at the point of care. We developed TESERA (Tissue Encoded Subtype Elucidation and Risk Assessment), a computational pathology framework that derives both unsupervised subtypes and a prognostic index directly from hematoxylin and…

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