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Research Paper|Volume 15, Issue 8|pp 3141—3157

Profiling and integrated analysis of transcriptional addiction gene expression and prognostic value in hepatocellular carcinoma

Xiaowei Du1, Hao Wang2, Jing Xu2, Yufei Zhang2, Tingsong Chen2, Gao Li2
  • 1First Affiliated Hospital of Fujian Medical University, Fuzhou, China
  • 2Second Department of Oncology, Seventh People’s Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
Received: January 6, 2023Accepted: April 15, 2023Published: April 22, 2023
https://doi.org/10.18632/aging.204676

Copyright: © 2023 Du et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Transcriptional dysregulation caused by genomic and epigenetic alterations in cancer is called “transcriptional addiction”. Transcriptional addiction is an important pathogenic factor of tumor malignancy. Hepatocellular carcinoma (HCC) genomes are highly heterogeneous, with many dysregulated genes. Our study analyzed the possibility that transcriptional addiction-related genes play a significant role in HCC. All data sources for conducting this study were public cancer databases and tissue microarrays. We identified 38 transcriptional addiction genes, and most were differentially expressed genes. Among patients of different groups, there were significant differences in overall survival rates. Both nomogram and risk score were independent predictors of HCC outcomes. Transcriptional addiction gene expression characteristics determine the sensitivity of patients to immunotherapy, cisplatin, and sorafenib. Besides, HDAC2 was identified as an oncogene, and its expression was correlated with patient survival time. Our study conclusively demonstrated that transcriptional addiction is crucial in HCC. We provided biomarkers for predicting the prognosis of HCC patients, which can more precisely guide the patient’s treatment.