Bioinformatics analysis of the association between long non-coding RNA ubiquitin-specific peptidase 30 antisense RNA 1 (lncRNA USP30-AS1) and immune cell infiltration in ovarian serous cystadenocarcinoma.
- Author:
Haiyan WANG
1
;
Shouguo HUANG
2
;
Qiu MENG
1
;
Jing ZHANG
1
;
Li WEI
3
Author Information
1. Department of Obstetrics and Gynecology, Affiliated Haikou Hospital of Xiangya School of Medicine, Central South University, Haikou 570208, China.
2. Department of Obstetrics and Gynecology, Affiliated Haikou Hospital of Xiangya School of Medicine, Central South University, Haikou 570208, China. *Corresponding author, E-mail: shouguohuang@126.com.
3. Department of Obstetrics and Gynecology, Xijing Hospital, Air Force Medical University, Xi'an 710032, China.
- Publication Type:Journal Article
- MeSH:
Female;
Humans;
Pregnancy;
CD8-Positive T-Lymphocytes;
Computational Biology;
Cystadenocarcinoma, Serous/genetics*;
RNA, Antisense;
RNA, Long Noncoding/genetics*;
Ubiquitin-Specific Proteases/genetics*
- From:
Chinese Journal of Cellular and Molecular Immunology
2023;39(9):834-840
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the expression of long non-coding RNA ubiquitin-specific peptidase 30 antisense RNA 1 (lncRNA USP30-AS1) and its relationship with immune infiltration in ovarian serous cystadenocarcinoma (OSC), and to determine its prognostic role in OSC. Methods The Cancer Genome Atlas (TCGA) database was utilized to retrieve the expression of USP30-AS1 and clinical information of 384 OSC patients. Wilcoxon rank-sum test was employed to compare the expression of USP30-AS1 between OSC and normal ovarian tissues. Logistic regression analysis was conducted to assess the relationship between clinical pathological features and USP30-AS1. Gene set enrichment analysis (GSEA) and single-sample gene set enrichment analysis (ssGSEA) were performed to investigate enrichment pathways and functions and quantify the degree of immune cell infiltration in USP30-AS1. Based on the expression level of long non-coding RNA (lncRNA) USP30-AS1, the samples were divided into high and low expression groups according to the expression mean. Log-rank tests, univariate and multivariate proportional hazards model (Cox) were used to compare prognostic differences between different USP30-AS1 expression groups. The impact of lncRNA USP30-AS1 expression on other genomic analyses was also analyzed. Results High expression of USP30-AS1 was significantly associated with the International Federation of Gynecology and Obstetrics (FIGO) stage of the tumor. Multivariate survival analysis indicated that USP30-AS1 expression level served as an independent prognostic marker for OSC. GSEA data showed that high expression of USP30-AS1 might activate programmed death 1 (PD-1) signaling pathway, cytotoxic T lymphocyte-associated protein 4 (CTLA4) pathway, B-cell receptor signaling pathway, cell apoptosis, fibroblast growth factor receptor (FGFR) signaling pathway, and Janus kinase/signal transducer and activator of transcription (JAK/STAT) signaling pathway. The expression of USP30-AS1 was negatively correlated with immune cell infiltration, including B cells, CD4+ T cells, dendritic cells, CD8+ T cells, and neutrophils. Conclusion USP30-AS1 may be used as a prognostic molecular marker for OSC.
