High expression of RPL27A predicts poor prognosis in patients with hepatocellular carcinoma

World J Surg Oncol. 2023 Jul 21;21(1):209. doi: 10.1186/s12957-023-03102-w.

Abstract

Background: Hepatocellular carcinoma (HCC) is one of the most common cancers in the digestive system with rapid progression and poor prognosis. Recent studies have shown that RPL27A could be used as a biomarker for a variety of cancers, but its role in HCC is not clear.

Method: We analyzed the expression of RPL27A in the pan-cancer analysis and analyzed the relationship between the expression of RPL27A and the clinical features and prognosis of patients with HCC. We evaluated the expression difference of RPL27A in HCC tissues and paired normal adjacent tissues using immunohistochemistry. Furthermore, we analyzed the co-expression genes of RPL27A and used them to explore the possible mechanism of RPL27A and screen hub genes effecting HCC. In addition, we studied the role of RPL27A in immune infiltration and mutation.

Results: We found that the expression level of RPL27A increased in a variety of cancers, including HCC. In HCC patients, the high expression of RPL27A was related to progression and poor prognosis as an independent predictor. We also constructed a protein interaction network through co-expression gene analysis of RPL27A and screened 9 hub genes. Enrichment analysis showed that co-expression genes were associated with ribosome pathway, viral replication, nuclear-transcribed mRNA catabolic process, and nonsense-mediated decay. We found that the expression level of RPL27A was closely related to TP53 mutation and immune infiltration in HCC.

Conclusion: RPL27A might become a biomarker in the diagnosis, treatment, and follow-up of patients with HCC.

Keywords: Co-expression genes; HCC; Immune infiltration; Prognosis; RPL27A.

MeSH terms

  • Carcinoma, Hepatocellular* / genetics
  • Gene Expression
  • Humans
  • Liver Neoplasms* / genetics
  • Mutation
  • Prognosis
  • Protein Interaction Maps

Substances

  • RPL27A protein, human