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Aberrant Expressions of PSMD14 in Tumor Tissue are the Potential Prognostic Biomarkers for Hepatocellular Carcinoma after Curative Resection.
- Source :
-
Current genomics [Curr Genomics] 2023 Dec 28; Vol. 24 (6), pp. 368-384. - Publication Year :
- 2023
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Abstract
- Introduction: Hepatocellular carcinoma (HCC) has a high mortality rate, with curative resection being the primary treatment. However, HCC patients have a large possibility of recurrence within 5 years after curative resection.<br />Methods: Thus, identifying biomarkers to predict recurrence is crucial. In our study, we analyzed data from CCLE, GEO, and TCGA, identifying eight oncogenes associated with HCC. Subsequently, the expression of 8 genes was tested in 5 cases of tumor tissues and the adjacent non-tumor tissues. Then ATP6AP1 , PSMD14 and HSP90AB1 were selected to verify the expression in 63 cases of tumor tissues and the adjacent non-tumor tissues. The results showed that ATP6AP1 , PSMD14, HSP90AB1 were generally highly expressed in tumor tissues. A five-year follow-up of the 63 clinical cases, combined with Kaplan-Meier Plotter's relapse-free survival (RFS) analysis, found a significant correlation between PSMD14 expression and recurrence in HCC patients. Subsequently, we analyzed the PSMD14 mutations and found that the PSMD14 gene mutations can lead to a shorter disease-free survival time for HCC patients.<br />Results: The results of enrichment analysis indicated that the differentially expressed genes related to PSMD14 are mainly enriched in the signal release pathway.<br />Conclusion: In conclusion, our research showed that PSMD14 might be related to recurrence in HCC patients, and the expression of PSMD14 in tumor tissue might be a potential prognostic biomarker after tumor resection in HCC patients.<br />Competing Interests: The authors declare no conflict of interest, financial or otherwise.<br /> (© 2023 Bentham Science Publishers.)
Details
- Language :
- English
- ISSN :
- 1389-2029
- Volume :
- 24
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Current genomics
- Publication Type :
- Academic Journal
- Accession number :
- 38327651
- Full Text :
- https://doi.org/10.2174/0113892029277262231108105441