» Articles » PMID: 34435618

Correlation Analysis of RDM1 Gene with Immune Infiltration and Clinical Prognosis of Hepatocellular Carcinoma

Overview
Journal Biosci Rep
Specialty Cell Biology
Date 2021 Aug 26
PMID 34435618
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: Liver hepatocellular carcinoma (LIHC) is one of the most common primary malignant liver tumors worldwide. The RAD52 motif-containing protein 1 (RDM1) has been shown to play a role in mediating DNA damage repair and homologous recombination. The present study was designed to determine the expression of RDM1 and its prognostic value as well as its relationship with immune infiltration in LIHC patients.

Methods: Oncomine and Tumor Immunoassay Resource were used to assess the expression of RDM1. PrognoScan and Kaplan-Meier bioinformatics database were used to analyze the impact of clinical influencing factors on prognosis. Finally, the Tumor Immune Assessment Resource (TIMER) and Gene Expression Analysis Interactive Analysis (GEPIA) databases were used to detect the correlation between the expression of RDM1 and expression of marker genes related to immune infiltration. Immunohistochemistry (IHC) method was used to detect the expression level of RDM1 in 90 cases of hepatocellular carcinoma and adjacent normal liver tissues.

Results: RDM1 expression was up-regulated in most cancers. The expression of RDM1 was remarkably higher than that of the corresponding normal control genes in LIHC tissues. The increase in RDM1 messenger RNA (mRNA) expression was closely related to the decreases in overall survival (OS) and progression-free survival (PFS). Additionally, the increase in RDM1 mRNA expression was closely related to the infiltration levels of macrophages, CD8+ T cells and B cells and was positively correlated with a variety of immune markers in LIHC.

Conclusion: The findings of the present study demonstrate that RDM1 is a potentially valuable prognostic biomarker that can help determine the progression of cancer and is associated with immune cell infiltration in LIHC.

Citing Articles

The genetic architecture of complete blood counts in lactating Holstein dairy cows.

Siberski-Cooper C, Mayes M, Gorden P, Kramer L, Bhatia V, Koltes J Front Genet. 2024; 15:1360295.

PMID: 38601075 PMC: 11004310. DOI: 10.3389/fgene.2024.1360295.


m5C regulator-mediated methylation modification phenotypes characterized by distinct tumor microenvironment immune heterogenicity in colorectal cancer.

Chen Z, Li Q, Lin Y, Lin S, Gao J, Chen S Sci Rep. 2023; 13(1):11950.

PMID: 37488178 PMC: 10366215. DOI: 10.1038/s41598-023-37300-z.

References
1.
Sun X, Wang S, Li Q . Comprehensive Analysis of Expression and Prognostic Value of Sirtuins in Ovarian Cancer. Front Genet. 2019; 10:879. PMC: 6754078. DOI: 10.3389/fgene.2019.00879. View

2.
Li T, Fan J, Wang B, Traugh N, Chen Q, Liu J . TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells. Cancer Res. 2017; 77(21):e108-e110. PMC: 6042652. DOI: 10.1158/0008-5472.CAN-17-0307. View

3.
Mizuno H, Kitada K, Nakai K, Sarai A . PrognoScan: a new database for meta-analysis of the prognostic value of genes. BMC Med Genomics. 2009; 2:18. PMC: 2689870. DOI: 10.1186/1755-8794-2-18. View

4.
West S . Molecular views of recombination proteins and their control. Nat Rev Mol Cell Biol. 2003; 4(6):435-45. DOI: 10.1038/nrm1127. View

5.
Hou G, Liu P, Yang J, Wen S . Mining expression and prognosis of topoisomerase isoforms in non-small-cell lung cancer by using Oncomine and Kaplan-Meier plotter. PLoS One. 2017; 12(3):e0174515. PMC: 5371362. DOI: 10.1371/journal.pone.0174515. View