scholarly journals FCGR1A Serves as a Novel Biomarker and Correlates With Immune Infiltration in Four Cancer Types

2020 ◽  
Author(s):  
Jili Xu ◽  
Yong Guo
Keyword(s):  
Overall Survival ◽  
T Cell ◽  
Differential Expression Analysis ◽  
Renal Clear Cell Carcinoma ◽  
High Expression ◽  
Immune Gene ◽  
Gene Markers ◽  
Immune Infiltration ◽  
Normal Tissues ◽  
Cancer Types

Abstract Background: FCGR1A encodes a protein that plays an important role in the immune response. The prognosis and tumor immune infiltration of FCGR1A in heterogeneous tumors remains unclear.Methods: Differential expression analysis of FCGR1A between tumor and normal tissues and the difference in overall survival (OS) among different cancer types were performed by Gene Expression Profiling Interactive Analysis (GEPIA). The correlation between FCGR1A and cancer immune infiltration or immue gene markers was completed through Tumor Immune Estimation Resource (TIMER) site. Results: FCGR1A exhibited high expression in various cancer types. FCGR1A was significantly correlated with the overall survival (OS) of cervical and endocervical cancer (CESC), cholangiocarcinoma (CHOL), kidney renal clear cell carcinoma (KIRC) and skin cutaneous melanoma (SKCM) (P<.05). High expression of FCGR1A meant a better prognosis except for KIRC. FCGR1A showed significant differences at different stages of KIRC and SKCM (P<.05). Furthermore, FCGR1A was notably associated with immune infiltrating levels of CD4+ T cell, CD8+ T cell, B cell, macrophage, neutrophil, and dendritic cell in the four cancers (P<.05). FCGR1A also showed close relevance with different immune gene markers. The copy number variation (CNV) of FCGR1A significantly influenced the abundance of immune infiltration in KIRC and SKCM. Conclusion: FCGR1A may be a potential prognostic biomarker and related to immune infiltration levels in diverse cancers, especially in CESC, CHOL, KIRC, and SKCM. Besides, FCGR1A may be involved in the activation, regulation or induction of immune cells.

scholarly journals Cystathionine Gamma-Lyase Is A Prognostic Biomarker And Related To Immune Infiltrates In Hepatocellular Carcinoma

2021 ◽  
Author(s):  
Xinrui Wu ◽  
Fengyuan Liu ◽  
Shifan Liu ◽  
Chengqi Song ◽  
Huiqun Wu
Keyword(s):  
Hepatocellular Carcinoma ◽  
T Cell ◽  
Immune Cells ◽  
Protective Factor ◽  
Pyridoxal Phosphate ◽  
Residual Tumor ◽  
R Package ◽  
High Expression ◽  
Gene Markers ◽  
Normal Tissues

Abstract PurposeThe role of cystathionine γ-lyase (CTH) in the prognosis and immune invasion of hepatocellular carcinoma (HCC) has not been reported.MethodsCombined with the clinical characteristics of HCC, CTH was analyzed via R package and various databases in this study.ResultsCompared with normal tissues, the level of CTH in HCC was significantly decreased, the extent of which was related to tumor clinicopathologic stage, gender, tumor status, residual tumor, histologic stage, race, alpha-fetoprotein (AFP), albumin, drinking and smoking. The results suggested that CTH might be a protective factor for the survival of HCC patients. Further functional analysis showed that the high expression of CTH was enriched in the reactome signaling by interleukins and the reactome neutrophil degranulation. Moreover, the expression of CTH was negatively correlated with the CD56 (bright) NK cells and Follicular helper T cell (TFH), positively correlated with Th17 cells and central memory T cell (Tcm), and closely correlated with the gene markers of a variety of immune cells. Also, high expression of CTH based on immune cells predicted the better prognosis of HCC. Pyridoxal phosphate, L-cysteine, Carboxymethylthio-3-(3-chlorophenyl)-1,2,4-oxadiazol, 2-[(3-Hydroxy-2-Methyl-5-Phosphonooxymethyl-Pyridin-4-Ylmethyl)-Imino]-5-phosphono-pent-3-enoic acid and L-2-amino-3-butynoic acid may be the targeted candidate medications for the treatment of CTH in HCC.ConclusionIn brief, CTH can be used as a biomarker to predict the prognosis and immune infiltration of HCC.

scholarly journals FCGR1A Serves as a Novel Biomarker and Correlates With Immune Infiltration in Four Cancer Types

2020 ◽  
Vol 7 ◽  
Author(s):  
Ji-li Xu ◽  
Yong Guo
Keyword(s):  
T Cells ◽  
Immune Cells ◽  
Gene Marker ◽  
Immune Gene ◽  
Prognostic Impact ◽  
Ppi Network ◽  
Gene Markers ◽  
Immune Infiltration ◽  
Kegg Analysis ◽  
Cancer Types

BackgroundFCGR1A encodes a protein that plays an important role in the immune response. The prognostic impact and immune infiltration of FCGR1A in heterogeneous cancers remain unclear.MethodsDifferential expression of FCGR1A between tumor and normal tissues and the discrepancies in overall survival (OS) among diverse cancer types were performed by Gene Expression Profiling Interactive Analysis. The correlation between FCGR1A and immune cells or gene marker sets of immune infiltrates was analyzed via Tumor Immune Estimation Resource (TIMER). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and protein-to-protein interaction (PPI) network were used to explore the function and related genes of FCGR1A. The relationships among these genes were further analyzed by TIMER.ResultsFCGR1A is highly expressed in various cancer types. FCGR1A was significantly correlated with the OS of cervical and endocervical cancer (CESC), cholangiocarcinoma (CHOL), kidney renal clear cell carcinoma (KIRC), and skin cutaneous melanoma (SKCM) (P &lt; 0.05). High expression of FCGR1A meant a better prognosis besides KIRC. FCGR1A showed significant differences at different stages of KIRC and SKCM (P &lt; 0.05). Furthermore, FCGR1A was notably associated with infiltrating levels of CD4+ T cells, CD8+ T cells, B cells, macrophages, neutrophils, and dendritic cells in the four cancers (P &lt; 0.05). FCGR1A also showed close relevance with different immune gene markers. The copy number variation of FCGR1A significantly influenced the abundance of immune infiltration in KIRC and SKCM. GO, KEGG analysis, and PPI network analysis revealed that FCGR1A is involved in many pathophysiological processes and was most related to FCGR3A. And this gene indicated highly significant positive correlations with FCGR1A in four cancers.ConclusionFCGR1A may be a potential prognostic biomarker and related to immune infiltration levels in diverse cancers, especially in CESC, CHOL, KIRC, and SKCM. Besides, FCGR1A may be involved in the activation, regulation, or induction of immune cells and diverse physiological and pathological processes.

scholarly journals CTHRC1 Is a Prognostic Biomarker and Correlated With Immune Infiltrates in Kidney Renal Papillary Cell Carcinoma and Kidney Renal Clear Cell Carcinoma

2021 ◽  
Vol 10 ◽  
Author(s):  
Fenfang Zhou ◽  
Dexin Shen ◽  
Yaoyi Xiong ◽  
Songtao Cheng ◽  
Huimin Xu ◽  
...  
Keyword(s):  
Cell Carcinoma ◽  
Immune Cells ◽  
Clear Cell ◽  
Clear Cell Carcinoma ◽  
Renal Clear Cell Carcinoma ◽  
Extracellular Matrix Protein ◽  
Gene Markers ◽  
Clinical Prognosis ◽  
Immune Infiltration ◽  
Normal Tissues

Kidney renal clear cell carcinoma (KIRC) and kidney renal papillary cell carcinoma (KIRP) are the most common RCC types. RCC has high immune infiltration levels, and immunotherapy is currently one of the most promising treatments for RCC. Collagen triple helix repeat containing 1 (CTHRC1) is an extracellular matrix protein that regulates tumor invasion and modulates the tumor microenvironment. However, the association of CTHRC1 with the prognosis and tumor-infiltrating lymphocytes of KIRP and KIRC has not been reported. We examined the CTHRC1 expression differences in multiple tumor tissues and normal tissues via exploring TIMER, Oncomine, and UALCAN databases. Then, we searched the Kaplan-Meier plotter database to evaluate the correlation of CTHRC1 mRNA level with clinical outcomes. Subsequently, the TIMER platform and TISIDB website were chosen to assess the correlation of CTHRC1 with tumor immune cell infiltration level. We further explored the causes of aberrant CTHRC1 expression in tumorigenesis. We found that CTHRC1 level was significantly elevated in KIRP and KIRC tissues relative to normal tissues. CTHRC1 expression associates with tumor stage, histology, lymph node metastasis, and poor clinical prognosis in KIRP. The CTHRC1 level correlates to tumor grade, stage, nodal metastasis, and worse survival prognosis. Additionally, CTHRC1 is positively related to different tumor-infiltrating immune cells in KIRP and KIRC. Moreover, CTHRC1 was closely correlated with the gene markers of diverse immune cells. Also, high CTHRC1 expression predicted a worse prognosis in KIRP and KIRC based on immune cells. Copy number variations (CNV) and DNA methylation might contribute to the abnormal upregulation of CTHRC1 in KIRP and KIRC. In conclusion, CTHRC1 can serve as a biomarker to predict the prognosis and immune infiltration in KIRP and KIRC.

scholarly journals Key Markers Involved in the Anticolon Cancer Response of CD8+ T Cells through the Regulation of Cholesterol Metabolism

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Liang Dong ◽  
Xi Yang ◽  
Yangyanqiu Wang ◽  
Yin Jin ◽  
Qing Zhou ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Network Analysis ◽  
Gene Family ◽  
Cd8 T Cells ◽  
Cholesterol Metabolism ◽  
Differential Expression Analysis ◽  
High Expression ◽  
Ppi Network ◽  
Low Expression

Background. T cell-mediated antitumor immune response is the basis of colorectal cancer (CRC) immunotherapy. Cholesterol plays an important role in T cell signal transduction and function. Apolipoprotein E (APOE) plays a major role in cholesterol metabolism. Objective. To screen and analyze key markers involved in the anticolon cancer response of CD8+ T cells through the regulation of cholesterol metabolism. Methods. Based on the median cutoff of the expression value of APOE according to the data downloaded from The Cancer Genome Atlas and Gene Expression Omnibus database, patients were grouped into low and high expression groups. Differences in clinical factors were assessed, and survival analysis was performed. Differentially expressed genes (DEGs) in the high and low expression groups were screened, followed by the analysis of differences in tumor-infiltrating immune cells and weighted gene coexpression network analysis results. The closely related genes to APOE were identified, followed by enrichment analysis, protein–protein interaction (PPI) network analysis, and differential expression analysis. Immunohistochemical staining (IHC) was used to detect the expression of CD8 in CRC tissues. Results. There were significant differences in prognosis and pathologic_N between the APOE low and high expression groups. A total of 2,349 DEGs between the high and low expression groups were selected. A total of 967 genes were obtained from the blue and brown modules. The probability of distribution of CD8+ T cells differed significantly between the two groups, and 320 closely related DEGs of APOE were screened. Genes including the HLA gene family, B2M, IRF4, and STAT5A had a higher degree in the PPI network. GEO datasets verified the prognosis and the related DEGs of APOE. IHC staining verified the relationship between the distribution of CD8+ T cells and APOE expression. Conclusion. Genes including the HLA gene family, B2M, IRF4, and STAT5A might be the key genes involved in the anticolon cancer response of CD8+ T cells through the regulation of cholesterol metabolism.

scholarly journals CDCA3 Is a Novel Prognostic Biomarker Associated with Immune Infiltration in Hepatocellular Carcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Zhihuai Wang ◽  
Shuai Chen ◽  
Gaochao Wang ◽  
Sun Li ◽  
Xihu Qin
Keyword(s):  
Hepatocellular Carcinoma ◽  
T Cells ◽  
Immune Cell ◽  
Disease Free Survival ◽  
In Silico Analysis ◽  
Gene Markers ◽  
Free Survival ◽  
Immune Infiltration ◽  
Normal Tissues ◽  
Tumor Tissues

Cell division cycle-associated protein-3 (CDCA3) contributes to the regulation of the cell cycle. CDCA3 plays an important role in the carcinogenesis of various cancers; however, the association between CDCA3 expression, prognosis of patients, and immune infiltration in the tumor microenvironment is still unknown. Here, we demonstrated that CDCA3 was differentially expressed between the tumor tissues and corresponding normal tissues using in silico analysis in the ONCOMINE and Tumor Immune Estimation Resource (TIMER) databases. We analyzed the relationship between the expression of CDCA3 and prognosis of patients with hepatocellular carcinoma (HCC) using the Kaplan–Meier plotter database and Gene Expression Profiling Interactive Analysis (GEPIA). Furthermore, we determined the prognostic value of CDCA3 expression using univariate and multivariate analyses. We observed that CDCA3 expression closely correlated with immune infiltration and gene markers of infiltrating immune cells in the TIMER database. CDCA3 was highly expressed in the tumor tissues than in the adjacent normal tissues in various cancers, including HCC. Increased expression of CDCA3 was accompanied by poorer overall survival (OS), relapse-free survival (RFS), progression-free survival (PFS), and disease-specific survival (DSS). The correlation between CDCA3 expression and OS and disease-free survival (DFS) was also studied using GEPIA. CDCA3 expression was associated with the levels of immune cell infiltration and was positively correlated with tumor purity. Moreover, CDCA3 expression was associated with gene markers such as PD-1, CTLA4, LAG3, and TIM-3 from exhausted T cells, CD3D, CD3E, and CD2 from T cells, and TGFB1 and CCR8 located on the surface of Tregs. Thus, we demonstrated that CDCA3 may be a potential target and biomarker for the management and diagnosis of HCC.

scholarly journals Integrated analysis identifies AQP9 correlates with immune infiltration and acts as a prognosticator in multiple cancers

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Xiaohong Liu ◽  
Qian Xu ◽  
Zijing Li ◽  
Bin Xiong
Keyword(s):  
Survival Data ◽  
Integrated Analysis ◽  
Immune Gene ◽  
Gene Markers ◽  
Lung Cancers ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Aquaporin 9 ◽  
Infiltrating Cells ◽  
The Relationship

AbstractAquaporin 9 (AQP9), as an aquaglyceroporin, is expressed in many immune cells and plays important role in tumor initiation and progression. However, the relationship between AQP9 and tumor-infiltrating cells, and its prognostic value in cancers still require comprehensive understanding. Herein, we aimed to elucidate the correlations of AQP9 with prognosis and immune infiltration levels in diverse cancers. We detected the expression and survival data of AQP9 through Oncomine, TIMER, Kaplan–Meier Plotter and PrognoScan databases. The correlations between AQP9 and immune infiltrates were analyzed in TIMER database. Our results found that high AQP9 expression was significantly correlated with worse prognosis in breast, colon and lung cancers, while predicted better prognosis in gastric cancer. Moreover, AQP9 had significant association with various immune infiltrating cells including CD8+ and CD4+ T cells, neutrophils, macrophages and dendritic cells (DCs), and diverse immune gene markers in BRCA, COAD, LUAD, LUSC and STAD. AQP9 was also significantly correlated with the regulation of tumor associated macrophages (TAM). These results indicate that AQP9 can play as a significant biomarker to determine the prognosis and the immune infiltrating levels in different cancers. It might also contribute to the development of the immunotherapy in breast, colon, lung and gastric cancers.

Analysis of associations of CXCR3 ligands with immune microenvironment and aggressiveness in murine and human pancreatic ductal adenocarcinoma.

2020 ◽  
Vol 38 (4_suppl) ◽  
pp. 762-762
Author(s):  
Andrew Cannon ◽  
Christopher M Thompson ◽  
Pranita Atri ◽  
Rakesh Bhatia ◽  
Sushil Kumar ◽  
...  
Keyword(s):  
Overall Survival ◽  
T Cell ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Nk Cell ◽  
Cd8 T Cell ◽  
High Expression ◽  
Ductal Adenocarcinoma ◽  
Bioinformatics Analyses ◽  
Dismal Prognosis ◽  
M1 Macrophage

762 Background: The complex milieu of cytokines within pancreatic ductal adenocarcinoma (PDAC) promotes tumor progression and immune suppression thereby contributing to the dismal prognosis of patients with PDAC. However, the roles of many cytokines, including CXCR3 ligands, in PDAC have not been thoroughly investigated. Methods: Bioinformatics analyses of PDAC microarray and TCGA datasets were used to identify cytokines overexpressed in PDAC, their association with patient survival as well as the expression of cognate cytokine receptors. Comparative analysis of cytokine expression in KrasLSL-G12D-P53LSL-R172H-Pdx1-Cre (KPC) and KrasLSL-G12D-Pdx1-Cre (KC) murine PDAC models were used to validate these findings. Pathway and CIBERSORT analyses were employed to determine mechanistic basis of altered survival associated with cytokines of interest. Results: Of the 149 cytokines analyzed, CXCR3 ligands CXCL9 and CXCL10 were highly and consistently overexpressed in PDAC datasets. Concurrently, CXCL9, CXCL10 and PF4 were overexpressed in the aggressive KPC murine model compared to the indolent KC model. CXCR3 showed robust expression in PDAC in microarray, TCGA and IHC analyses. Interestingly, high expression of CXCR3 ligands was associated with shorter overall survival (p = 0.04 for CXCL9, 10 and 11 and p = 0.02 for PF4) while high expression of CXCR3 was associated with increased overall survival (p = 0.03). Pathway analysis of genes correlated with CXCR3 and/or its ligands showed that CXCR3 ligands may promote T-cell exhaustion (p < 0.001). Finally, CIBERSORT analysis of TCGA data demonstrated that high CXCR3 expression was associated with increased CD8 T-cell and naïve B-cell signatures and loss of plasma cells signatures. High CXCR3 ligand expression was associated with increased CD8 T-cell, and M1 macrophage, and loss of NK-cell signatures(p < 0.05). Conclusions: CXCR3 ligands are overexpressed in PDAC and are associated with poor survival, likely related to alterations in tumor immune infiltrate/activity and may represent targets to augment anti-tumor immunity.

scholarly journals Increased coexpression of PD-L1 and TIM3/TIGIT is associated with poor overall survival of patients with esophageal squamous cell carcinoma

2021 ◽  
Vol 9 (10) ◽  
pp. e002836
Author(s):  
Peipei Wang ◽  
Yueyun Chen ◽  
Qingqin Long ◽  
Qing Li ◽  
Jiangfang Tian ◽  
...  
Keyword(s):  
Overall Survival ◽  
Squamous Cell Carcinoma ◽  
T Cell ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Survival Time ◽  
Squamous Cell ◽  
High Expression ◽  
Poor Overall Survival ◽  
Validation Data

BackgroundImmune checkpoint (IC) blockades (ICBs) significantly improve patients’ clinical outcomes with solid tumors. Because the objective response rate of single-agent ICB is limited, it is meaningful to explore the combination of ICs for immunotherapy.MethodsRNA sequencing data of 95 newly diagnosed patients with esophageal squamous cell carcinoma (ESCC) from The Cancer Genome Atlas (TCGA) database were used to explore the prognostic significance of ICs. The results were validated by immunohistochemistry of 58 ESCC tissue samples from our clinical center.ResultsThe results of both TCGA and validation data suggested that high expression of programmed cell death 1 ligand 1 (PD-L1), T-cell immunoglobulin and mucin-domain-containing-3 (TIM3), and T-cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain (TIGIT) was associated with poor overall survival (OS) of patients with ESCC. Importantly, PD-L1/TIM3 or PD-L1/TIGIT was the optimal combination for predicting poor OS and short restricted mean survival time of patients with ESCC and was an independent prognostic factor. Moreover, a nomogram model constructed by PD-L1, TIM3, and TIGIT together with the primary tumor, regional lymph node, distant metastasis stage could provide a concise and precise prediction of 1-year and 2-year OS rates and median survival time. PD-L1/TIM3 or PD-L1/TIGIT had a positive correlation with CD8+ T cells. Notably, PD-1 and TIM3/TIGIT were primarily coexpressed on CD8+ tumor-infiltrating lymphocyte in patients with ESCC by multiplexed immunofluorescence.ConclusionHigh expression of ICs was associated with poor OS of patients with ESCC. PD-L1/TIM3 and PD-L1/TIGIT were the optimal combinations for predicting OS, which might be potential targets for future ICBs therapy of ESCC.

scholarly journals Prognostic Significance and Immune Infiltration of Microenvironment‐related Signatures in Pancreatic Cancer

2020 ◽  
Author(s):  
Qian Lu ◽  
Yu Zhang ◽  
Weihong Gu ◽  
Xinrong Ji ◽  
Zhong Chen
Keyword(s):  
Pancreatic Cancer ◽  
Overall Survival ◽  
Immune Cell ◽  
Differential Expression Analysis ◽  
Prognostic Significance ◽  
Ductal Adenocarcinoma ◽  
Immune Infiltration ◽  
Protein Protein Interaction ◽  
Tumor Tissues ◽  
Cox Analysis

Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the highly fatal and most aggressive types of malignancies and accounts for the vast majority of Pancreatic Cancer (PC). Numerous studies have reported that the tumor microenvironment (TME) was significantly correlated with the oncogenesis, progress, and prognosis of various malignancies. Therefore, mining of TME-related genes is reasonably important to improve the overall survival (OS) of patients with PDAC. Methods: The Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) algorithm was applied to identify differential expressed genes (DEGs). Functional and pathway enrichment analyses, protein–protein interaction (PPI) network construction and module analysis, overall survival analysis and tumor immune estimation resource (TIMER) database analysis were then performed on DEGs. Results: Data analysis indicated that higher immune scores were correlated with better overall survival (P = 0.033). Differential expression analysis obtained 90 intersection genes influencing both stromal and immune scores. Among these intersection genes, CA9, EBI3, SPOCK2, WDFY4, CD1D and CCL22 were significantly correlated with OS in PDAC patients. Moreover, multivariate Cox analysis revealed that CA9, SPOCK2 and CD1D were the most significant prognostic genes, and were closely correlated with immune infiltration in TCGA cohort. Further analysis indicated that CD1D were significantly related with immune cell biomarkers for PDAC patients. Conclusions: In summary, our findings provide a more comprehensive insight into TME and show a list of prognostic immune associated genes in PDAC. However, further studies on these genes need to be performed to gain additional understanding of the association between TME and prognosis in PDAC.

scholarly journals CLDN6 and CLDN10 are Associated with Immune Infiltration of Ovarian Cancer: A Study of Claudin Family

2020 ◽  
Author(s):  
Peipei Gao ◽  
Ting Peng ◽  
Canhui Cao ◽  
Shitong Lin ◽  
Ping Wu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
T Cell ◽  
Tumor Microenvironment ◽  
Immune Cells ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Gene Markers ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
The Relationship

Abstract Background: Claudin family is a group of membrane proteins related to tight junction. There are many studies about them in cancer, but few studies pay attention to the relationship between them and the tumor microenvironment. In our research, we mainly focused on the genes related to the prognosis of ovarian cancer, and explored the relationship between them and the tumor microenvironment of ovarian cancer.Methods: The cBioProtal provided the genetic variation pattern of claudin gene family in ovarian cancer. The ONCOMINE database and Gene Expression Profiling Interactive Analysis (GEPIA) were used to exploring the mRNA expression of claudins in cancers. The prognostic potential of these genes was examined via Kaplan-Meier plotter. Immunologic signatures were enriched by gene set enrichment analysis (GSEA). The correlations between claudins and the tumor microenvironment of ovarian cancer were investigated via Tumor Immune Estimation Resource (TIMER).Results: In our research, claudin genes were altered in 363 (62%) of queried patients/samples. Abnormal expression levels of claudins were observed in various cancers. Among them, we found that CLDN3, CLDN4, CLDN6, CLDN10, CLDN15 and CLDN16 were significantly correlated with overall survival of patients with ovarian cancer. GSEA revealed that CLDN6 and CLDN10 were significantly enriched in immunologic signatures about B cell, CD4 T cell and CD8 T cell. What makes more sense is that CLDN6 and CLDN10 were found related to the tumor microenvironment. CLDN6 expression was negatively correlated with immune infiltration level in ovarian cancer, and CLDN10 expression was positively correlated with immune infiltration level in ovarian cancer. Further study revealed the CLDN6 expression level was negatively correlated with gene markers of various immune cells in ovarian cancer. And, the expression of CLDN10 was positive correlated with gene markers of immune cells in ovarian cancer.Conclusions: CLDN6 and CLDN10 were prognostic biomarkers, and correlated with immune infiltration in ovarian cancer. Our results revealed new roles for CLDN6 and CLDN10, and they were potential therapeutic targets in the treatment of ovarian cancer.

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