Hepatocellular Carcinoma Immune Microenvironment Analysis: A Comprehensive Assessment with Computational and Classical Pathology.

Journal: Clinical cancer research : an official journal of the American Association for Cancer Research
PMID: 39264292

Abstract

PURPOSE: The spatial variability and clinical relevance of the tumor immune microenvironment (TIME) are still poorly understood for hepatocellular carcinoma (HCC). In this study, we aim to develop a deep learning (DL)-based image analysis model for the spatial analysis of immune cell biomarkers and microscopically evaluate the distribution of immune infiltration.

Authors

  • Caner Ercan
    Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland.
  • Salvatore Lorenzo Renne
    Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy. salvatore.renne@hunimed.eu.
  • Luca Di Tommaso
    Department of Biomedical Sciences, Humanitas University, Milan, Italy.
  • Charlotte K Y Ng
    IRCCS Humanitas Research Hospital, Milan, Italy.
  • Salvatore Piscuoglio
    Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Luigi M Terracciano
    Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland.

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