scholarly journals Profiles of immune infiltration in ovarian cancer and their clinical significance: a gene expression-based study

2021 ◽  
Vol 42 (2) ◽  
pp. 346
Keyword(s):  
Gene Expression ◽  
Ovarian Cancer ◽  
Clinical Significance ◽  
Immune Infiltration

scholarly journals ITGB2 as a Novel Biomarker Correlating With Prognosis and Immune Infiltrates in Ovarian Cancer

2021 ◽  
Author(s):  
chanyuan li ◽  
Ting Wan ◽  
Ting Deng ◽  
Junya Cao ◽  
He Huang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Protein Interaction ◽  
Ppi Network ◽  
Hub Genes ◽  
Immune Infiltration ◽  
Protein Protein Interaction ◽  
Kaplan Meier ◽  
Kaplan Meier Plotter

Abstract Background: Epithelial ovarian cancer is nowadays one of the malignancies in women, this study aimed to identify novel biomarkers to predict prognosis and immunotherapy efficacy.Methods: The differentially expressed genes (DEGs) obtained from online database Gene Expression Omnibus (GEO)were screened via GEO2R and Venn diagram software, gene enrichment was analysed by Gene Ontology(GO) function and Kyoto Encyclopedia of Genes and Genomes(KEGG), then protein protein interaction(PPI)network and Cytoscape software were used to confirm the genes closely related to ovarian cancer. Survival analysis of hub genes were obtained from Kaplan–Meier plotter, with their differential expression in specimen validated by Gene Expression Profiling Interactive Analysis (GEPIA) and an integrated repository portal for tumor-immune system interactions (TISIDB). Finally, we used the Tumor Immune Estimation Resource 2.0 (TIMER2.0) and application Estimate the Proportion of Immune and Cancer cells (EPIC) to search the immune infiltration characteristics of the genes.Results: 355 DEGs between epithelial ovarian cancer and normal ovarian tissue were screened out. These DEGs were associated with extracellular exosome, bicellular tight junction and cell-cell junction, and remarkably enriched in molecules of cell adhesion and leukocyte transendothelial migration activity. Ten hub genes were identified via protein protein interaction (PPI) network: PTAFR, HLA-DRA, OAS2, OAS3, PTPN6, LYN, VAMP8, IRF6, ITGB2, CD47. Furthermore, the Kaplan–Meier plotter was conducted, overexpression of four genes was positively connected to poor prognosis in ovarian cancer:OAS2, OAS3, ITGB2, CD47,which were also correlated with immune infiltrates in ovarian cancer and had the highest degree of correlation with tumor associated macrophages (TAMs) infiltration, among which ITGB2 was highly correlated with TAMs infiltration level.Conclusion: ITGB2, OAS2, OAS3, and CD47 are upregulated with unfavorable prognosis in ovarian cancer, and ITGB2 may act as a novel prognostic biomarker with immune infiltration values.

scholarly journals Clinical Significance of Organic Anion Transporting Polypeptide Gene Expression in High-Grade Serous Ovarian Cancer

2018 ◽  
Vol 9 ◽  
Author(s):  
Martin Svoboda ◽  
Felicitas Mungenast ◽  
Andreas Gleiss ◽  
Ignace Vergote ◽  
Adriaan Vanderstichele ◽  
...  
Keyword(s):  
Gene Expression ◽  
Ovarian Cancer ◽  
Clinical Significance ◽  
Organic Anion ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Organic Anion Transporting Polypeptide

scholarly journals A Comprehensive Analysis of the Downregulation of miRNA-1827 and Its Prognostic Significance by Targeting SPTBN2 and BCL2L1 in Ovarian Cancer

2021 ◽  
Vol 8 ◽  
Author(s):  
Penghui Feng ◽  
Zhitong Ge ◽  
Zaixin Guo ◽  
Lin Lin ◽  
Qi Yu
Keyword(s):  
Gene Expression ◽  
Ovarian Cancer ◽  
Clinical Significance ◽  
Target Genes ◽  
Cellular Proliferation ◽  
Interaction Analysis ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Enrichment Analysis ◽  
Hub Genes

Background: Previous studies demonstrated that miRNA-1827 could repress various cancers on proliferation, angiogenesis, and metastasis. However, little attention has been paid to its role in ovarian cancer as a novel biomarker or intervention target, especially its clinical significance and underlying regulatory network.Methods: A meta-analysis of six microarrays was adopted here to determine the expression trend of miRNA-1827, and was further validated by gene expression profile data and cellular experiments. We explored the functional annotations through enrichment analysis for the differentially expressed genes targeted by miRNA-1827. Subsequently, we identified two hub genes, SPTBN2 and BCL2L1, based on interaction analysis using two online archive tools, miRWALK (it consolidates the resources of 12 miRNA-focused servers) and Gene Expression Profiling Interactive Analysis (GEPIA). Finally, we validated their characteristics and clinical significance in ovarian cancer.Results: The comprehensive meta-analysis revealed that miRNA-1827 was markedly downregulated in clinical and cellular specimens. Transfection of the miRNA-1827 mimic could significantly inhibit cellular proliferation. Concerning its target genes, they were involved in diverse biological processes related to tumorigenesis, such as cell proliferation, migration, and the apoptosis signaling pathway. Moreover, interaction analysis proved that two hub genes, SPTBN2 and BCL2L1, were highly associated with poor prognosis in ovarian cancer.Conclusion: These integrated bioinformatic analyses indicated that miRNA-1827 was dramatically downregulated in ovarian cancer as a tumor suppressor. The upregulation of its downstream modulators, SPTBN2 and BCL2L1, was associated with an unfavorable prognosis. Thus, the present study has identified miRNA-1827 as a potential intervention target for ovarian cancer based on our bioinformatic analysis processes.

scholarly journals Clinical Significance of p53 Gene Expression with Immunohistochemical Staining in Ovarian Cancer

1995 ◽  
Vol 6 (1) ◽  
pp. 7
Author(s):  
Jae Wook Kim ◽  
Yeun Hae Lee ◽  
Young Tae Kim ◽  
Chung Pil Lee ◽  
Dong Kyu Kim ◽  
...  
Keyword(s):  
Gene Expression ◽  
Ovarian Cancer ◽  
Clinical Significance ◽  
Immunohistochemical Staining ◽  
P53 Gene

scholarly journals Clinical significance of circulating tumor cell related markers in patients with epithelial ovarian cancer before and after adjuvant chemotherapy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Meysam Yousefi ◽  
Sara Rajaie ◽  
Vahideh Keyvani ◽  
Somayeh Bolandi ◽  
Malihe Hasanzadeh ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Adjuvant Chemotherapy ◽  
Epithelial Ovarian Cancer ◽  
Clinical Significance ◽  
Therapy Response ◽  
Serum Levels ◽  
Circulating Tumor Cell ◽  
Tumor Stage ◽  
Disease Stage ◽  
Before And After

AbstractCirculating tumor cells (CTCs) have recently been considered as new prognostic and diagnostic markers for various human cancers; however, their significance in epithelial ovarian cancer (EOC) remains to be elucidated. In this study, using quantitative real-time PCR, we evaluated the expression of EPCAM, MUC1, CEA, HE4 and CA125 mRNAs, as putative markers of CTCs, in the blood of 51 EOC patients before and/or after adjuvant chemotherapy. Our results demonstrated that, before chemotherapy, the expression of EPCAM, MUC1, CEA and HE4 mRNAs were correlated to each other. CEA expression was correlated with tumor stage (r = 0.594, p = 0.000) before chemotherapy, whereas its expression after chemotherapy was correlated with serum levels of CA125 antigen (r = 0.658, p = 0.000). HE4 mRNA showed the highest sensitivity both before and after chemotherapy (82.98% and 85.19%, respectively) and the persistence of this marker after chemotherapy was associated with advanced disease stage. The expression of CA125 mRNA had negative correlation with the other markers and with tumor stage and therapy response (evaluated by the measurement of serum CA125 antigen). Collectively, our results indicated a better clinical significance of tumor-specific markers (CEA and HE4 mRNAs) compared to epithelial-specific markers (EPCAM and MUC1 mRNAs).

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