scholarly journals Pan-Cancer Analysis of Atrial-Fibrillation-Related Innate Immunity Gene ANXA4

2021 ◽  
Vol 8 ◽  
Author(s):  
Tao Yan ◽  
Shijie Zhu ◽  
Yu Shi ◽  
Changming Xie ◽  
Miao Zhu ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Survival Analysis ◽  
Sinus Rhythm ◽  
Enrichment Analysis ◽  
Related Gene ◽  
Expression Levels ◽  
Immune Infiltration ◽  
Immune Related Gene ◽  
Cancer Types ◽  
Pan Cancer

Background: Atrial fibrillation (AF) is the most common tachyarrhythmia around the world. Cancer is one of the main causes of death worldwide. A recent study demonstrated that cancer was associated with an increased incidence of AF. In the present study, we aimed to explore possible mechanisms and potential common therapeutic targets between AF and cancer.Methods: Differentially expressed proteins between AF and sinus rhythm were identified utilizing proteomics analysis. Weighted gene correlation network analysis was applied to cluster proteins into different modules and investigate associations between modules and AF. Hub immune-related genes were selected via InnateDB database and verified using qRT-PCR. RNA sequencing and clinical data of 33 different cancer types were achieved from The Cancer Genome Atlas (TCGA). The correlations between ANXA4 expression and the prognosis were calculated utilizing Cox regression analysis and Kaplan-Meier survival analysis. Spearman's rank correlation test was used to assess associations between ANXA4 and immune infiltration and DNA methylation. Enrichment analysis was performed through gene ontology and gene set enrichment analysis (GSEA).Results:ANXA4 was identified as hub immune-related gene between AF and sinus rhythm. Expression levels of ANXA4 increased in diverse cancer types. Survival analysis suggested prognostic significance of ANXA4 expression levels in various cancer types. Immune correlation analysis indicated that ANXA4 expression levels were associated with tumor immune infiltration in most cancer types. ANXA4 might influence the efficacy of immunotherapy via tumor burden and microsatellite instability. GSEA results indicated that high ANXA4 expression groups were mainly enriched in peroxisome, bile acid biosynthesis, and p53 pathway.Conclusion:ANXA4 was identified as a hub immune-related gene in AF, which has never been reported. Pan-cancer analysis indicated its potential as a novel clinical prognostic marker and therapeutic target in diverse cancer types. ANXA4 might play crucial roles in AF and cancer, and targeted therapy for ANXA4 might reduce the incidence of AF in cancer patients.

scholarly journals Comprehensive Pan-Cancer Analysis and the Regulatory Mechanism of ASF1B, a Gene Associated With Thyroid Cancer Prognosis in the Tumor Micro-Environment

2021 ◽  
Vol 11 ◽  
Author(s):  
Jing Ma ◽  
Wei Han ◽  
Kai Lu
Keyword(s):  
Gene Expression ◽  
Survival Analysis ◽  
Thyroid Cancer ◽  
Prognostic Marker ◽  
Enrichment Analysis ◽  
Differential Analysis ◽  
Expression Levels ◽  
Multiple Cancers ◽  
Mtorc1 Signaling ◽  
Pan Cancer

BackgroundThe incidence of thyroid cancer, whose local recurrence and metastasis lead to death, has always been high and the pathogenesis of papillary thyroid carcinoma (PTC) has not been clearly elucidated. Therefore, the research for more accurate prognosis-related predictive biomarkers is imminent, and a key gene can often be a prognostic marker for multiple tumors.MethodsGene expression profiles of various cancers in the TCGA and GTEx databases were downloaded, and genes significantly associated with the prognosis of THCA were identified by combining differential analysis with survival analysis. Then, a series of bioinformatics tools and methods were used to analyze the expression of the gene in each cancer and the correlation of each expression with prognosis, tumor immune microenvironment, immune neoantigens, immune checkpoints, DNA repair genes, and methyltransferases respectively. The possible biological mechanisms were also investigated by GSEA enrichment analysis.Results656 differentially expressed genes were identified from two datasets and 960 DEGs that were associated with disease-free survival in THCA patients were screened via survival analysis. The former and the latter were crossed to obtain 7 key genes, and the gene with the highest risk factor, ASF1B, was selected for this study. Differential analysis of multiple databases showed that ASF1B was commonly and highly expressed in pan-cancer. Survival analysis showed that high ASF1B expression was significantly associated with poor patient prognosis in multiple cancers. In addition, ASF1B expression levels were found to be associated with tumor immune infiltration in THCA, KIRC, LGG, and LIHC, and with tumor microenvironment in BRCA, LUSC, STAD, UCEC, and KIRC. Further analysis of the relationship between ASF1B expression and immune checker gene expression suggested that ASF1B may regulate tumor immune patterns in most tumors by regulating the expression levels of specific immune checker genes. Finally, GSEA enrichment analysis showed that ASF1B high expression was mainly enriched in cell cycle, MTORC1 signaling system, E2F targets, and G2M checkpoints pathways.ConclusionsASF1B may be an independent prognostic marker for predicting the prognosis of THCA patients. The pan-cancer analysis suggested that ASF1B may play an important role in the tumor micro-environment and tumor immunity and it has the potential of serving as a predictive biomarker for multiple cancers.

scholarly journals Prognostic and immunological value of LTB4R in pan-cancer

2021 ◽  
Vol 18 (6) ◽  
pp. 9336-9356
Author(s):  
Sidan Long ◽  
◽  
Shuangshuang Ji ◽  
Kunmin Xiao ◽  
Peng Xue ◽  
...  
Keyword(s):  
Immune Cells ◽  
Prognostic Significance ◽  
Enrichment Analysis ◽  
Negative Influence ◽  
Leukotriene B4 ◽  
Gene Set Enrichment Analysis ◽  
Functional Enrichment ◽  
Immune Infiltration ◽  
Significant Difference ◽  
Pan Cancer

<abstract> <sec><title>Background</title><p>LTB4 receptor 1 (LTB4R), as the high affinity leukotriene B4 receptor, is rapidly revealing its function in malignancies. However, it is still uncertain.</p> </sec> <sec><title>Methods</title><p>We investigated the expression pattern and prognostic significance of LTB4R in pan-cancer across different databases, including ONCOMINE, PrognoScan, GEPIA, and Kaplan-Meier Plotter, in this study. Meanwhile, we explored the significance of LTB4R in tumor metastasis by HCMDB. Then functional enrichment analysis of related genes was performed using GeneMANIA and DAVID. Lastly, utilizing the TIMER datasets, we looked into the links between LTB4R expression and immune infiltration in malignancies.</p> </sec> <sec><title>Results</title><p>In general, tumor tissue displayed higher levels of LTB4R expression than normal tissue. Although LTB4R had a negative influence on pan-cancer, a high expression level of LTB4R was protective of LIHC (liver hepatocellular carcinoma) patients' survival. There was no significant difference in the distribution of LTB4R between non-metastatic and metastatic tumors. Based on Gene Set Enrichment Analysis, LTB4R was implicated in pathways involved in inflammation, immunity, metabolism, and cancer diseases. The correlation between immune cells and LTB4R was found to be distinct across cancer types. Furthermore, markers of infiltrating immune cells, such as Treg, T cell exhaustion and T helper cells, exhibited different LTB4R-related immune infiltration patterns.</p> </sec> <sec><title>Conclusion</title><p>The LTB4R is associated with immune infiltrates and can be used as a prognostic biomarker in pan-cancer.</p> </sec> </abstract>

Interferon Regulatory Factor 4 (IRF4) is a Prognostic Marker and Related to Immune Infiltration in Breast and Colorectal Cancers

2020 ◽  
Author(s):  
Qingyan Huang ◽  
Zhikang Yu ◽  
Yuhong Gan ◽  
Heming Wu ◽  
Zhixiong Zhong
Keyword(s):  
T Cells ◽  
Immune Cells ◽  
Enrichment Analysis ◽  
Interferon Regulatory Factor ◽  
Colorectal Cancers ◽  
Regulatory Factor ◽  
Expression Levels ◽  
Immune Infiltration ◽  
Prognostic Outcome ◽  
Interferon Regulatory Factor 4

Abstract Background: Interferon regulatory factor 4 (IRF4) is a transcription factor that involves in immune cells differentiation. However, it is not clear the relationship between IRF4 and tumor prognosis and immune infiltration.Methods: IRF4 expression levels in different cancers and corresponding normal tissues were analyzed by Oncomine database and Tumor Immune Estimation Resource (TIMER). The prognosis value of IRF4 was assessed by PrognoScan and Kaplan-Meier plotter. The correlation between IRF4 and tumor-infiltrating immune cells and immune cells markers was performed by TIMER and Gene Expression Profiling Interactive Analysis (GEPIA). In addition, we explored the genes regulated by IRF4 in Gene Transcription Regulation Database (GTRD) and then put the above genes in Enrich online tool for Gene Ontology (GO) and pathway enrichment analysis.Results: Decreased expression levels of IRF4 were observed in breast and colorectal cancers. Survival analysis shown that high level of IRF4 was associated with better prognostic outcome in breast and colorectal cancer patients. IRF4 expression was positively correlated with infiltrating levels of B cells, CD8+ T cells, T cells (general), dendritic cells (DCs), Th1, T cell exhaustion and monocytes, and immune cells markers. Beside, functional enrichment analysis of the potential genes regulated by IRF4 indicated that IRF4 may be involved in many important biological processes including immune regulation by regulating various genes.Conclusions: High expression of IRF4 shown better prognostic outcome for breast and colorectal cancers. IRF4 was associated with immune infiltration in breast and colorectal cancers. Therefore, IRF4 maybe serve as a potential prognostic biomarker in breast and colorectal cancers with immune infiltration.

scholarly journals A Cholesterol Homeostasis-Related Gene Signature Predicts Prognosis of Endometrial Cancer and Correlates With Immune Infiltration

2021 ◽  
Vol 12 ◽  
Author(s):  
Yili Chen ◽  
Kaping Lee ◽  
Yanchun Liang ◽  
Shuhang Qin ◽  
Yuan Zhu ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Roc Curve ◽  
Cholesterol Metabolism ◽  
Enrichment Analysis ◽  
Gene Signature ◽  
Cholesterol Homeostasis ◽  
Related Gene ◽  
Training Cohort ◽  
Cox Regression Analysis ◽  
Immune Infiltration

Background: Endometrial cancer (EC) is one of the most common gynecological malignancies in women. Cholesterol metabolism has been confirmed to be closely related to tumor proliferation, invasion and metastasis. However, the correlation between cholesterol homeostasis-related genes and prognosis of EC remains unclear.Methods: EC patients from the Cancer Genome Atlas (TCGA) database were randomly divided into training cohort and test cohort. Transcriptome analysis, univariate survival analysis and LASSO Cox regression analysis were adopted to construct a cholesterol homeostasis-related gene signature from the training cohort. Subsequently, Kaplan-Meier (KM) plot, receiver operating characteristic (ROC) curve and principal component analysis (PCA) were utilized to verify the predictive performance of the gene signature in two cohorts. Additionally, enrichment analysis and immune infiltration analysis were performed on differentially expressed genes (DEGs) between two risk groups.Results: Seven cholesterol homeostasis-related genes were selected to establish a gene signature. KM plot, ROC curve and PCA in two cohorts demonstrated that the gene signature was an efficient independent prognostic indicator. The enrichment analysis and immune infiltration analysis indicated that the high-risk group generally had lower immune infiltrating cells and immune function.Conclusion: We constructed and validated a cholesterol homeostasis-related gene signature to predict the prognosis of EC, which correlated to immune infiltration and expected to help the diagnosis and precision treatment of EC.

scholarly journals Construction and Validation of an Immune-Related Gene Prognostic Index for Esophageal Squamous Cell Carcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Qinghua Ji ◽  
Yingying Cai ◽  
Sachin Mulmi Shrestha ◽  
Duo Shen ◽  
Wei Zhao ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Index ◽  
Enrichment Analysis ◽  
Response To Therapy ◽  
Gene Set Enrichment Analysis ◽  
Related Gene ◽  
Immune Related Gene

Immune checkpoint inhibitor (ICI) therapy may benefit patients with advanced esophageal squamous cell carcinoma (ESCC); however, novel biomarkers are needed to help predict the response of patients to treatment. Differentially expressed immune-related genes within The Cancer Genome Atlas ESCC dataset were selected using the weighted gene coexpression network and lasso Cox regression analyses. Based on these data, an immune-related gene prognostic index (IRGPI) was constructed. The molecular characteristics of the different IRGPI subgroups were assessed using mutation information and gene set enrichment analysis. Differences in immune cell infiltration and the response to ICI therapy and other drugs were also analyzed. Additionally, tumor and adjacent control tissues were collected from six patients with ESCC and the expression of these genes was verified using real-time quantitative polymerase chain reaction. IRGPI was designed based on CLDN1, HCAR3, FNBP1L, and BRCA2, the expression of which was confirmed in ESCC samples. The prognosis of patients in the high-IRGPI group was poor, as verified using publicly available expression data. KMT2D mutations were more common in the high-IRGPI group. Enrichment analysis revealed an active immune response, and immune infiltration assessment showed that the high-IRGPI group had an increased infiltration degree of CD8 T cells, which contributed to the improved response to ICI treatment. Collectively, these data demonstrate that IRGPI is a robust biomarker for predicting the prognosis and response to therapy of patients with ESCC.

scholarly journals ITGA5 Is a Prognostic Biomarker and Correlated with Immune Infiltration In Gastrointestinal Cancers

2020 ◽  
Author(s):  
Hai Zhu ◽  
Gang Wang ◽  
Haixing Zhu ◽  
Aman Xu
Keyword(s):  
Gastric Cancer ◽  
Immune Cell ◽  
Prognostic Biomarker ◽  
Interaction Network ◽  
Enrichment Analysis ◽  
Functional Enrichment ◽  
Th2 Cells ◽  
Integrin Subunit ◽  
Expression Levels ◽  
Immune Infiltration

Abstract Background: Integrin Subunit Alpha 5 (ITGA5) belongs to the integrin alpha chain family, is vital for promoting cancer cell invasion, metastasis. However, the correlation between ITGA5 expression and immune infiltration in gastrointestinal (GI) tumors remain unclear.Methods: The expression levels of ITGA5 were detected by Oncomine and Tumor Immune Estimation Resource (TIMER). The association between ITGA5 and prognosis of patients was identified by Kaplan–Meier plotter, Gene Expression Profiling Interactive Analysis 2(GEPIA2) and PrognoScan. We evaluated the correlation between ITGA5 expression and immune infiltrating level via TIMER. Besides, TIMER and immunohistochemistry (IHC) staining were used to explore correlations between ITGA5 expression and markers of immune infiltrates cells. Furthermore, we constructed protein-protein interaction (PPI) network and performed functional enrichment by GeneMANIA and Metascape.Results: ITGA5 was generally overexpressed and correlated with worse prognosis in multiple types of GI tumors. In addition, ITGA5 expression levels was significantly associated with tumor purity and immune infiltration levels of different immune cells in GI tumors. Interestingly, Immune markers for monocytes, tumor - associated macrophages (TAMs), macrophages 2 (M2) cells and T-helper 2 (Th2) cells were found to be significantly and positively correlated with ITGA5 expression levels in colon and gastric cancer. Results from IHC staining further proved that markers of Th2 and M2 cell were significantly increased in gastric cancer patients with high ITGA5 expression levels. Lastly, interaction network and function enrichment analysis revealed ITGA5 were mainly involved in “integrin mediated signaling pathway”, “leukocyte migration”, “cell-substrate adhesion”.Conclutions: our study demonstrated that ITGA5 may act as an essential regulator of tumor immune cell infiltration and a valuable prognostic biomarker in GI tumors. Additional work is needed to fully elucidate the underlying mechanisms behind these observations.

scholarly journals An Integrative Pan-Cancer Analysis Revealing LCN2 as an Oncogenic Immune Protein in Tumor Microenvironment

2020 ◽  
Vol 10 ◽  
Author(s):  
Wen-Xiu Xu ◽  
Jian Zhang ◽  
Yu-Ting Hua ◽  
Su-Jin Yang ◽  
Dan-Dan Wang ◽  
...  
Keyword(s):  
T Cells ◽  
Cytochrome P450 ◽  
Interaction Analysis ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Functional Enrichment ◽  
Sterile Inflammation ◽  
Lipocalin 2 ◽  
Immune Infiltration ◽  
Pan Cancer

BackgroundLipocalin 2 (LCN2), an innate immune protein, plays a pivotal role in promoting sterile inflammation by regulating immune responses. However, the role of LCN2 in diverse cancers remains poorly defined. This research aimed to investigate the correlation between LCN2 expression and immunity and visualize its prognostic landscape in pan-cancer.MethodsRaw data in regard to LCN2 expression in cancer patients were acquired from TCGA and GTEx databases. Besides, we investigated the genomic alterations, expression pattern, and survival analysis of LCN2 in pan-cancer across numerous databases, including cBioPortal and GEPIA database. The correlation between LCN2 expression and tumor immune infiltration was explored via TIMER, and we utilized CIBERSORT and ESTIMATE computational methods to assess the proportion of tumor-infiltrating immune cells (TIICs) and the amount of stromal and immune components from TCGA database. Protein–Protein Interaction analysis was performed in GeneMANIA database, and gene functional enrichment was performed by Gene Set Enrichment Analysis (GSEA).ResultsOn balance, tumor tissue had a higher LCN2 expression level compared with that in normal tissue. Elevated expression of LCN2 was related to poor clinical regimen with OS and RFS. There were significant positive correlations between LCN2 expression and TIICs, including CD8+ T cells, CD4+ T cells, B cells, neutrophils, macrophages, and dendritic cells. Moreover, markers of TIICs exhibited different LCN2-related immune infiltration patterns. GSEA analysis showed that the expression of LCN2 was related to retinol metabolism, drug metabolism cytochrome P450 and metabolism of xenobiotics by cytochrome P450.ConclusionsThese findings suggested that LCN2 might serve as a biomarker for immune infiltration and poor prognosis in cancers, shedding new light on therapeutics of cancers.

scholarly journals CD96 Correlates With Immune Infiltration and Impacts Patient Prognosis: A Pan-Cancer Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Wenrui Ye ◽  
Cong Luo ◽  
Fangkun Liu ◽  
Zhixiong Liu ◽  
Fenghua Chen
Keyword(s):  
T Cells ◽  
Nk Cells ◽  
Protective Factor ◽  
Immune Checkpoints ◽  
Lower Grade ◽  
Immune Infiltration ◽  
Potential Biomarker ◽  
Cancer Types ◽  
Patient Prognosis ◽  
Pan Cancer

BackgroundImmunotherapy has significantly improved patient outcomes, but encountered obstacles recently. CD96, a novel immune checkpoint expressed on T cells and natural killer (NK) cells, is essential for regulating immune functions. However, how CD96 correlating with immune infiltration and patient prognosis in pan-cancer remains unclear.MethodsHPA, TCGA, GEO, GTEx, Oncomine, TIMER2.0, PrognoScan, Linkedomics, Metascape, and GEPIA2 databases were used to analyze CD96 in cancers. Visualization of data was mostly achieved by R language, version 4.0.2.ResultsIn general, CD96 was differentially expressed between most cancer and adjacent normal tissues. CD96 significantly impacted the prognosis of diverse cancers. Especially, high CD96 expression was associated with poorer overall survival (OS) and disease-specific survival (DSS) in the TCGA lower grade glioma (LGG) cohort (OS, HR = 2.18, 95% CI = 1.79–2.66, P &lt; 0.001). The opposite association was significantly observed in skin cutaneous melanoma (SKCM) cohort (OS, HR = 0.96, 95% CI = 0.94–0.98, P &lt; 0.001). Notably, SKCM samples demonstrated the highest CD96 mutation frequency among all cancer types. Furthermore, in most cancers, CD96 expression level was significantly correlated with expression levels of recognized immune checkpoints and abundance of multiple immune infiltrates including CD8+ T cells, dendric cells (DCs), macrophages, monocytes, NK cells, neutrophils, regulatory T cells (Tregs), and follicular helper T cells (Tfh). CD96 was identified as a risk factor, protective factor, and irrelevant variable in LGG, SKCM and adrenocortical carcinoma (ACC), respectively. CD96 related genes were involved in negative regulation of leukocyte in LGG, however, involved in multiple positive immune processes in SKCM. Furthermore, CD96 was significantly associated with particular immune marker subsets. Importantly, it strongly correlated with markers of type 1 helper T cell (Th1) in SKCM, but not in LGG or ACC either.ConclusionsCD96 participates in diverse immune responses, governs immune cell infiltration, and impacts malignant properties of various cancer types, thus standing as a potential biomarker for determining patient prognosis and immune infiltration in multiple cancers, especially in glioma and melanoma.

scholarly journals GPX7 is Identified as a Novel Prognostic Indicator for Brain Lower Grade Glioma (LGG): Evidence from a Pan-Cancer Analysis

2021 ◽  
Author(s):  
Qianqian Zhao ◽  
Yin Yang ◽  
Luyu Zhang ◽  
Yingying Wang ◽  
Tianpei Wang ◽  
...  
Keyword(s):  
Glutathione Peroxidase ◽  
Poor Prognosis ◽  
Enrichment Analysis ◽  
Prognostic Indicator ◽  
Lower Grade ◽  
Free Survival ◽  
Multiple Tumors ◽  
Expression Levels ◽  
Lower Grade Glioma ◽  
Pan Cancer

Abstract Background: Glutathione peroxidase-7 (GPX7), a newly discovered non-selenium-containing protein with glutathione peroxidase activity, is located near the endoplasmic reticulum. Various studies have reported the involvement of GPX7 in cancer disease progression. However, the expression patterns of GPX7 and its prognostic potential have not been evaluated from a pan-cancer perspective. Moreover, the relationship between GPX7 and prognosis in Brain Lower Grade Glioma (LGG) patients remains unclear.Methods: Expression levels of GPX7 were evaluated using the Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) databases. Kaplan-Meier plotter and Gene Expression Profiling Interactive Analysis (GEPIA2) were used to evaluate the effect of GPX7 on clinical prognosis in TCGA tumors. Correlations between GPX7 and cancer immune infiltrates were investigated using the Tumor Immune Estimation Resource (TIMER) site and Estimating the Proportions of Immune and Cancer cells (EPIC) algorithm. In addition, the GEPIA2 and STRING websites were used for enrichment analysis of GPX7-related genes. Finally, we constructed a prognostic Nomogram for LGG to verify the overall survival (OS) outcomes of patients.Results: GPX7 was found to be overexpressed in multiple tumors. Elevated expression levels of GPX7 were associated with poor prognosis regarding OS, disease-free survival (DFS) and progression-free survival (PFS) of LGG patients (OS Hazard ratio (HR) = 1.044, p < 0.0001; DFS HR = 1.035, p < 0.0001; PFS HR = 1.045, p < 0.0001). Concordance index (C-index) of the nomogram for LGG was 0.845 (95% CI, 0.825 to 0.865; p < 0.001). The nomogram exhibited a better predictability. In addition, GPX7 expression and the abundance of Cancer-associated fibroblasts (CAFs) were positively correlated in most cancer types. Enrichment analysis revealed that GPX7 may be involved in the glutathione derivative biosynthetic and glutathione metabolic biological processes.Conclusion: GPX7 was found to be upregulated in multiple tumors, which was correlated with poor prognosis in LGG. Therefore, GPX7 is a potential prognostic indicator for LGG. There is a strong correlation between GPX7 expression levels and glutathione metabolic pathways. GPX7 holds promise for the use of glutathione metabolism for guided therapy in cancer patients.

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