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Identification of Prognostic Related Gene Expression Profile in Hepatocellular Carcinoma

Justin Fan1,*, He Wang2

1The Haverford School, 450 Lancaster Ave, Haverford, PA, USA.

2Department of Pathology, School of Medicine, Yale University, New Haven, CT, USA.

*Corresponding author: Justin Fan

Published: 10 April 2023 How to cite this paper

Abstract

Human Hepatocellular Carcinoma (HCC) is one of the most common and aggressive types of cancer. With over 70,000 deaths occurring worldwide from 2015 to 2022, it is the second major cause of cancer-related mortality. The high mortality associated with this disease is mainly attributed to the inability to diagnose HCC patients at an early stage. Gene expression (RNA-seq) data from 371 human HCC samples were downloaded from the TCGA data portal at the National Cancer Institute and analyzed to define the molecular characteristics of the tumors and their association with cancer survival. A total of 2481 genes that correlated to cancer survival and tumor stages were identified. GSEA analysis further identified that down-regulated lipid metabolism-related pathways and oxidative stress pathways may be involved in cancer progression. Some genes such as acyl-CoA dehydrogenase very long chain (LCAD), ApoA1, Aldo-keto reductase family 1 member D1 (AKR1D1), Retinol binding protein 5(RBP5), Dimethylaniline monooxygenase [N-oxide-forming] 5 (FMO5), and Oxidative stress-induced growth inhibitor 1(OKL38 family) may be potential biomarkers for HCC progression. In addition, we also observed potential virals involved in the expression data.

KEYWORDS: Hepatocellular Carcinoma, Gene expression profile, Clinical outcomes, Deregulated molecular pathways

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How to cite this paper

Justin Fan, He Wang. Identification of Prognostic Related Gene Expression Profile in Hepatocellular Carcinoma. International Journal of Medicine Frontiers, 2023, 6(1), 11-24.


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