Proteomic subtyping highlights tumor heterogeneity of human HCC.

ABSTRACT: Hepatocellular carcinoma (HCC) has a poor prognosis. While molecular profiling has identified subclasses with potentially druggable pathways, implementation in routine diagnostics remains challenging. Although immunohistology may aid HCC classification, multiplexed protein-based approaches have not yet been established. Proteomic heterogeneity in HCC tissue also remains poorly understood. Tissue microarrays from 58 HCC patients were analyzed using a multispectral imaging platform, enabling the detection of multiple protein biomarkers on a single tissue slide. A machine learning-based algorithm facilitated single-cell expression analysis, clustering, and spatial distribution assessment. A 4-plex immunofluorescence marker panel was designed and applied to interrogate altered signaling pathwa

SUBMITTER: Ritz T 

PROVIDER: S-EPMC12647349 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature