Machine learning approach identifies inflammatory gene signature for predicting survival outcomes in hepatocellular carcinoma.

Journal: Scientific reports
Published Date: Dec 5, 2024

Abstract

BACKGROUND: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, often linked to chronic inflammation. Our study aimed to probe inflammation pathways at the genetic level and pinpoint biomarkers linked to HCC patient survival.

Authors

  • Noor N Al-Bzour
    Department of Medicine, Division of Hematology & Oncology, University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA.
  • Ayah N Al-Bzour
    Department of Medicine, Division of Hematology & Oncology, University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA.
  • Abdelrahman Qasaymeh
    Department of Medicine, Division of Hematology & Oncology, University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA.
  • Azhar Saeed
    Department of Pathology and Laboratory Medicine, University of Vermont Medical Center, Burlington, VT, USA.
  • Lujia Chen
    Department of Biomedical Informatics, University of Pittsburgh, 5607 Baum Blvd, 15237, Pittsburgh, PA, USA. luc17@pitt.edu.
  • Anwaar Saeed
    Department of Medicine, Division of Hematology & Oncology, University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA. saeeda3@upmc.edu.

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