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A pan-cancer analysis of RNASEH1, a potential regulator of the tumor microenvironment
Yi, Chen; Yang, Jun; Zhang, Ting; Xie, Shien; Li, Wentao; Qin, Liu; Chen, Dongjuan.
Affiliation
  • Yi, Chen; Nanchang Hangkong University. Ministry of Education. Key Laboratory of Nondestructive Testing. Jiangxi. China
  • Yang, Jun; Nanchang Hangkong University. Ministry of Education. Key Laboratory of Nondestructive Testing. Jiangxi. China
  • Zhang, Ting; Nanchang Hangkong University. Department of Biomedical Engineering. Jiangxi. China
  • Xie, Shien; Nanchang Hangkong University. Department of Biomedical Engineering. Jiangxi. China
  • Li, Wentao; Nanchang Hangkong University. Department of Biomedical Engineering. Jiangxi. China
  • Qin, Liu; Huazhong University of Science and Technology. Tongji Medical College. Maternal and Child Health Hospital of Hubei Province. Wuhan. China
  • Chen, Dongjuan; Huazhong University of Science and Technology. Tongji Medical College. Maternal and Child Health Hospital of Hubei Province. Wuhan. China
Clin. transl. oncol. (Print) ; 25(8): 2569-2586, aug. 2023. ilus, graf
Article in English | IBECS | ID: ibc-222432
Responsible library: ES1.1
Localization: ES15.1 - BNCS
ABSTRACT
Background RNASEH1 (Ribonuclease H1) encodes an endonuclease that specifically degrades the RNA of RNA–DNA hybrids and acts in DNA replication and repair. Although there are many studies on RNASEH1, the research of RNASEH1 in cancers is still insufficient. Therefore, in order to clarify the physiological mechanism of RNASEH1 in tumor cells, we evaluated the role of RNASEH1 by combining The Cancer Genome Atlas (TCGA) pan-cancer data and Genotype-Tissue Expression (GTEx) normal tissue data. Methods RNASEH1 expression was analyzed by using RNAseq data from TCGA and the GTEx database. The Human Protein Atlas (HPA), GeneCards and STRING database were used to explore the protein information of RNASEH1. The prognostic value of RNASEH1 was analyzed by using the clinical survival data from TCGA. Differential analysis of RNASEH1 in different cancers was performed by using R package “DESeq2”, and enrichment analysis of RNASEH1 was conducted by using R package “clusterProfiler”. We downloaded the immune cell infiltration score of TCGA samples from published articles and online databases, and the correlation analysis between immune cell infiltration levels and RNASEH1 expression was performed. Not only that, we further evaluated the association of RNASEH1 with immune activating genes, immunosuppressive genes, chemokines and chemokine receptors. At the end of the article, the differential expression of RNASEH1 in pan-cancer was validated by using GSE54129, GSE40595, GSE90627, GSE106937, GSE145976 and GSE18672, and qRT-PCR was also performed for verification. Finding RNASEH1 was significantly overexpressed in 19 cancers and the overexpression was closely correlated with poor prognosis. Moreover, the expression of RNASEH1 was significantly correlated with the regulation of the tumor microenvironment (AU)
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Collection: National databases / Spain Database: IBECS Main subject: Ribonuclease H / Tumor Microenvironment / Neoplasms Limits: Humans Language: English Journal: Clin. transl. oncol. (Print) Year: 2023 Document type: Article Institution/Affiliation country: Huazhong University of Science and Technology/China / Nanchang Hangkong University/China
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Collection: National databases / Spain Database: IBECS Main subject: Ribonuclease H / Tumor Microenvironment / Neoplasms Limits: Humans Language: English Journal: Clin. transl. oncol. (Print) Year: 2023 Document type: Article Institution/Affiliation country: Huazhong University of Science and Technology/China / Nanchang Hangkong University/China
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