Cancer Management and Research (Mar 2022)
Integrated Bioinformatics Analysis and Validation of the Prognostic Value of RBM10 Expression in Hepatocellular Carcinoma
Abstract
Shu-Jie Pang,1,* Zhe Sun,1,* Wen-Feng Lu,1,* Hui Si-Ma,1 Zhi-Peng Lin,2 Yang Shi,1 Ying-Cheng Yang,1 Xi-Jun Zhao,1 Guang-Shun Yang,1 Guang-Zhi Jin,3 Ning Yang1 1Department V of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, 200438, People’s Republic of China; 2Department of Hepatobiliary Surgery, The 940th Hospital of CPLA Joint Logistics Support Force, Lanzhou, 730050, People’s Republic of China; 3Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ning Yang, Department V of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, 200438, People’s Republic of China, Tel +86 21 81877591, Fax +86 21 6556 6851, Email [email protected] Guang-Zhi Jin, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, People’s Republic of China, Email [email protected]: RBM10ʹs function in hepatocellular carcinoma (HCC) has rarely been addressed. We intend to explore the prognostic significance and therapeutic meaning of RBM10 in HCC in this study.Methods: Multiple common databases were integrated to analyze the expression status and prognostic meaning of RBM10 in HCC. The relationship between RBM10 mRNA level and clinical features was also assessed. Multiple enrichment analyses of the differentially expressed genes between RBM10 high- and low- transcription groups were constructed by using R software (version 4.0.2). A Search Tool for Retrieval of Interacting Genes database was used to construct the protein–protein interaction network between RBM10 and other proteins. A tumor immune estimation resource database was employed to identify the relationship between RBM10 expression and immune cell infiltrates. The prognostic value of RBM10 expression was validated in our HCC cohort by immunohistochemistry test.Results: The transcription of RBM10 mRNA was positively correlated with tumor histologic grade (p < 0.001), T classification (p < 0.001), and tumor stage (p < 0.001). High transcription of RBM10 in HCC predicted a dismal overall survival (p = 0.0037) and recurrence-free survival (p < 0.001). Kyoto Encyclopedia of Genes and Genomes, Gene Ontology, and Gene Set Enrichment Analysis all revealed that RBM10 was involved in the regulation of cell cycle, DNA replication, and immune-related pathways. Tumor immune estimation analysis revealed that RBM10 transcription was positively related to multiple immune cell infiltrates and the expressions of PD-1 and PD-L1.Conclusion: RBM10 was demonstrated to be a dismal prognostic factor and a potential biomarker for immune therapy in HCC in that it may be involved in the immune-related signaling pathways.Keywords: RBM10, hepatocellular carcinoma, prognosis, differentially expressed gene, integrated bioinformatics analysis
