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Construction of a ceRNA network of hub genes affecting immune infiltration in ovarian cancer identified by WGCNA.
Su, Rongjia; Jin, Chengjuan; Zhou, Lina; Cao, Yannan; Kuang, Menghua; Li, Linxia; Xiang, Jiangdong.
Affiliation
  • Su R; Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, 650 Xin Songjiang Road, Shanghai, 201620, China.
  • Jin C; Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, 650 Xin Songjiang Road, Shanghai, 201620, China.
  • Zhou L; Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, 650 Xin Songjiang Road, Shanghai, 201620, China.
  • Cao Y; Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, 650 Xin Songjiang Road, Shanghai, 201620, China.
  • Kuang M; Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, 650 Xin Songjiang Road, Shanghai, 201620, China.
  • Li L; Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, 650 Xin Songjiang Road, Shanghai, 201620, China.
  • Xiang J; Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, 650 Xin Songjiang Road, Shanghai, 201620, China. xjd13818757959@126.com.
BMC Cancer ; 21(1): 970, 2021 Aug 30.
Article in En | MEDLINE | ID: mdl-34461858
BACKGROUND: Ovarian cancer is the leading cause of death among gynecological malignancies. Immunotherapy has demonstrated potential effects in ovarian cancer. However, few studies on immune-related prognostic signatures in ovarian cancer have been reported. This study aimed to identify hub genes associated with immune infiltrates to provide insight into the immune regulatory mechanisms in ovarian cancer. METHODS: Raw data and clinical information were downloaded from The Cancer Genome Atlas (TCGA) and University of California, Santa Cruz (UCSC) Xena websites. Single-sample gene set enrichment analysis (ssGSEA) and weighted gene co-expression network analysis (WGCNA) were used to identify hub genes. Kaplan-Meier analysis and differential expression analysis were applied to explore the real hub genes. RESULTS: Through ssGSEA and WGCNA, 7 hub genes (LY9, CD5, CXCL9, IL2RG, SLAMF1, SLAMF6, and SLAMF7) were identified. Finally, LY9 and SLAMF1 were recognized as the real hub genes in immune infiltrates of ovarian cancer. LY9 and SLAMF1 are classified as SLAM family receptors involved in the activation of hematopoietic cells and the pathogenesis of multiple malignancies. Furthermore, 12 lncRNAs and 43 miRNAs significantly related to the 2 hub genes were applied to construct a lncRNA-miRNA-mRNA ceRNA network. The lncRNA-miRNA-mRNA ceRNA network shows upstream regulatory sites of the 2 hub genes. CONCLUSIONS: These findings improve our understanding of the regulatory mechanism of and reveal potential immune checkpoints for immunotherapy for ovarian cancer.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers, Tumor / Gene Expression Regulation, Neoplastic / Lymphocytes, Tumor-Infiltrating / MicroRNAs / Gene Regulatory Networks / RNA, Long Noncoding / Carcinoma, Ovarian Epithelial Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Middle aged Language: En Journal: BMC Cancer Journal subject: NEOPLASIAS Year: 2021 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers, Tumor / Gene Expression Regulation, Neoplastic / Lymphocytes, Tumor-Infiltrating / MicroRNAs / Gene Regulatory Networks / RNA, Long Noncoding / Carcinoma, Ovarian Epithelial Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Middle aged Language: En Journal: BMC Cancer Journal subject: NEOPLASIAS Year: 2021 Document type: Article Affiliation country: Country of publication: