scholarly journals Overexpressed pseudogene MT1L associated with tumor immune infiltrates and indicates a worse prognosis in BLCA

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Yanpeng Ding ◽  
Nuomin Liu ◽  
Mengge Chen ◽  
Yulian Xu ◽  
Sha Fang ◽  
...  
Keyword(s):  
Immune Cells ◽  
Biological Function ◽  
Prognostic Biomarker ◽  
Poor Survival ◽  
Common Cancer ◽  
Kaplan Meier ◽  
Cox Analysis ◽  
Kaplan Meier Plotter ◽  
Worse Prognosis

Abstract Background BLCA is a common cancer worldwide, and it is both aggressive and fatal. Immunotherapy (ICT) has achieved an excellent curative effect in BLCA; however, only some BLCA patients can benefit from ICT. MT1L is a pseudogene, and a previous study suggested that MT1L can be used as an indicator of prognosis in colorectal cancer. However, the role of MT1L in BLCA has not yet been determined. Methods Data were collected from TCGA, and logistic regression, Kaplan-Meier plotter, and multivariate Cox analysis were performed to demonstrate the correlation between the pseudogene MT1L and the prognosis of BLCA. To identify the association of MT1L with tumor-infiltrating immune cells, TIMER and TISIDB were utilized. Additionally, GSEA was performed to elucidate the potential biological function. Results The expression of MT1L was decreased in BLCA. Additionally, MT1L was positively correlated with immune cells, such as Tregs (ρ = 0.708) and MDSCs (ρ = 0.664). We also confirmed that MT1L is related to typical markers of immune cells, such as PD-1 and CTLA-4. In addition, a high MT1L expression level was associated with the advanced T and N and high grade in BLCA. Increased expression of MT1L was significantly associated with shorter OS times of BLCA patients (p < 0.05). Multivariate Cox analysis revealed that MT1L expression could be an independent prognostic factor in BLCA. Conclusion Collectively, our findings demonstrated that the pseudogene MT1L regulates the immune microenvironment, correlates with poor survival, and is an independent prognostic biomarker in BLCA.

scholarly journals Overexpressed Pseudogene MT1L Associated with Tumor Immune Infiltrates and Indicates a Worse Prognosis in BLCA

2020 ◽  
Author(s):  
Yanpeng Ding ◽  
Nuomin Liu ◽  
Mengge Chen ◽  
Yulian Xu ◽  
Sha Fang ◽  
...  
Keyword(s):  
Immune Cells ◽  
Poor Survival ◽  
Common Cancer ◽  
Kaplan Meier ◽  
High Stage ◽  
Cox Analysis ◽  
Biologic Function ◽  
Kaplan Meier Plotter ◽  
Worse Prognosis

Abstract Background BLCA is common cancer worldwide, aggressive, and fatal. Immunotherapy (ICT) has achieved an excellent curative effect in BLCA; however, only part of these patients can benefit from ICT treatment. MT1L belongs to pseudogene, and a previous study has suggested that MT1L can be used as an indicator of prognosis in colorectal cancer. However, the role of MT1L in BLCA has not yet been illuminated. Methods Data was collected from TCGA, and logistic regression, Kaplan-Meier Plotter, and multivariate Cox analysis have been performed to demonstrate the correlation between pseudogene MT1L and prognosis in BLCA. To identify the association of MT1L with tumor-infiltrating immune cells, TIMER and TISIDB were utilized. And GSEA was performed to illuminate the potential biologic function. Results The expression of MT1L was decreased in BLCA. And it is positively connected with immune cells, like Tregs(ρ=0.708) and MDSCs(ρ=0.664). We also confirmed that MT1L is related to typical markers of immune cells，like PD-1, CTLA-4. Besides, the high MT1L expression level is related to the high stage of T, N, and the high grade in BLCA and the increased expression of MT1L was significantly associated with the shorter OS of BLCA patients (P<0.05). Multivariate Cox analysis revealed that MT1L expression could be an independent prognostic factor of BLCA. Conclusion Collectively, our findings demonstrated that pseudogene MT1L regulates the immune microenvironment, correlates with poor survival, and serves as an independent prognostic biomarker in BLCA.

scholarly journals Pseudogene HSPA7 is a Poor Prognostic Biomarker in Kidney Renal Clear Cell Carcinoma (KIRC) and Correlated With Immune Infiltrates

2021 ◽  
Author(s):  
Chunjin Ding ◽  
Rundong He ◽  
Jinghan Zhang ◽  
Zhan Dong ◽  
Jun Wu
Keyword(s):  
Cox Regression ◽  
Clear Cell ◽  
Prognostic Biomarker ◽  
Renal Clear Cell Carcinoma ◽  
Database Analysis ◽  
Kaplan Meier ◽  
Tumor Tissues ◽  
Infiltrating Cells ◽  
Cox Analysis

Abstract Background: Pseudogenes played important roles in tumorigenesis, while there are nearly no reports about the expression and roles of HSPA7 in the cancer. Methods: Firstly,we used Logistic regression,the KS test, the GEPIA database, UALCAN database and qRT-PCR to analyze the level of HSPA7 expressed in KIRC,then we used the Cox regression and the Kaplan-Meier curve to analyze the overall survival(OS) of KIRC patients with different Clinico-pathological parameters. Thirdly, we used the multivariate Cox analysis of influencing factors to compare the correlation between the HSPA7 expression level and the clinical parameters. Finally, we used multi-GSEA analysis and the Tumor Immunoassay Resource (TIMER) database to explore the functional role of HSPA7 in KIRC. Results: The HSPA7 is highly expressed in KIRC tumor tissues, and its expression is related to clinico-pathological features and survival in KIRCpatints.GSEA analysis displayed the high expression of HSPA7 in KIRC were related to several tumor-related and immune-related pathways. With the TIMER database analysis we showed that HSPA7 levels were correlated with the CD4+ T cells, neutrophils and Dendritic Cell.Conclusions: Our study showed that HSPA7 is very important in the tumor progression and may act as a poor prognostic biomarker for KIRC tumor by modulating immune infiltrating cells.

scholarly journals Butyrophilin-like 9 expression is associated with outcome in lung adenocarcinoma

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Weishuang Ma ◽  
Jiaming Liang ◽  
Junjian Mo ◽  
Siyuan Zhang ◽  
Ningdong Hu ◽  
...  
Keyword(s):  
B Cells ◽  
Lung Adenocarcinoma ◽  
Prognostic Biomarker ◽  
Checkpoint Inhibitors ◽  
The Past ◽  
Kaplan Meier ◽  
Nsclc Patients ◽  
The Relationship ◽  
Kaplan Meier Plotter

Abstract Background Lung adenocarcinoma (LUAD) is the most prevalent non-small cell lung cancer (NSCLC). Patients with LUAD have a poor 5-year survival rate. The use of immune checkpoint inhibitors (ICIs) for the treatment of LUAD has been on the rise in the past decade. This study explored the prognostic role of butyrophilin-like 9 (BTNL9) in LUAD. Methods Gene expression profile of buytrophilins (BTNs) was determined using the GEPIA database. The effect of BTNL9 on the survival of LUAD patients was assessed using Kaplan-Meier plotter and OncoLnc. Correlation between BTNL9 expression and tumor-infiltrating immune cells (TILs) was explored using TIMER and GEPIA databases. Further, the relationship between BTNL9 expression and drug response was evaluated using CARE. Besides, construction and evaluation of nomogram based on BTNL9 expression and TNM stage. Results BTNL9 expression was downregulated in LUAD and was associated with a poor probability of 1, 3, 5-years overall survival (OS). In addition, BTNL9 expression was regulated at epigenetic and post-transcriptional modification levels. Moreover, BTNL9 expression was significantly positively correlated with ImmuneScore and ESTIMATEScore. Furthermore, BTNL9 expression was positively associated with infiltration levels of B cells, CD4+ T cells, and macrophages. Kaplan-Meier analysis showed that BTNL9 expression in B cells and dendritic cells (DCs) was significantly associated with OS. BTNL9 expression was significantly positively correlated with CARE scores. Conclusions These findings show that BTNL9 is a potential prognostic biomarker for LUAD. Low BTNL9 expression levels associated with low infiltration levels of naïve B cells, and DCs in the tumor microenvironment are unfavorable for OS in LUAD patients.

An integrative pan-cancer analysis of COPB1 based on data mining

2020 ◽  
pp. 1-15
Author(s):  
Heyan Chen ◽  
Kunlong Li ◽  
Yijun Li ◽  
Peilin Xie ◽  
Jianjun He ◽  
...  
Keyword(s):  
Prognostic Biomarker ◽  
Tumor Infiltrating Lymphocytes ◽  
Normal Tissues ◽  
Kaplan Meier ◽  
Online Databases ◽  
Infiltrating Lymphocytes ◽  
The Relationship ◽  
Kaplan Meier Plotter ◽  
Pan Cancer

BACKGROUND: Cancer will become the leading cause of death worldwide in the 21st century, meanwhile, immunotherapy is the most popular cancer treatment methods in recent years. COPI Coat Complex Subunit Beta 1 (COPB1) relates to human innate immunity. However, the role of COPB1 in pan-cancer remains unclear. OBJECTIVE: The purpose of this study was to explore the relationship between COPB1 mRNA expression and tumor infiltrating lymphocytes and immune examination sites in pan-cancer. METHODS: Data from multiple online databases were collected. The BioGPS, UALCAN Database, COSMIC, cBioPortal, Cancer Regulome tools, Kaplan-Meier Plotter and TIMER website were utilized to perform the analysis. RESULTS: Upregulation of COPB1 has been widely observed in tumors tissues compared with normal tissues. Although COPB1 has poor prognosis in pan-cancer, COPB1 high expression was beneficial to the survival of ESCA patients. Unlike ESCA, COPB1 expression in STAD was positively correlated with tumor infiltrating lymphocytes, including B cells, CD8+ T cells, neutrophils, macrophages, and dendritic cells. Finally, we also found that the expression of COPB1 in STAD was positively correlated with PD-L1 and CTLA4. CONCLUSIONS: COPB1 may be a prognostic biomarker for pan-carcinoma, and also provide an immune anti-tumor strategy for STAD based on the expression of COPB1.

scholarly journals Pseudogene HSPA7 is a poor prognostic biomarker in Kidney Renal Clear Cell Carcinoma (KIRC) and correlated with immune infiltrates

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chunjin Ding ◽  
Rundong He ◽  
Jinghan Zhang ◽  
Zhan Dong ◽  
Jun Wu
Keyword(s):  
Cox Regression ◽  
Prognostic Biomarker ◽  
Renal Clear Cell Carcinoma ◽  
Expression Level ◽  
Database Analysis ◽  
Kaplan Meier ◽  
Tumor Tissues ◽  
Infiltrating Cells ◽  
Cox Analysis

Abstract Background Pseudogenes played important roles in tumorigenesis, while there are nearly no reports about the expression and roles of HSPA7 in the cancer. Methods Firstly, we used Logistic regression, the KS test, the GEPIA database, UALCAN database and qRT-PCR to analyze the expression level of HSPA7 in KIRC, then we used the Cox regression and the Kaplan–Meier curve to analyze the overall survival (OS) of KIRC patients with different Clinico-pathological parameters. Thirdly, we used the multivariate Cox analysis of influencing factors to compare the correlation between the HSPA7 expression level and the clinical parameters. Finally, we used multi-GSEA analysis and the Tumor Immunoassay Resource (TIMER) database to explore the functional role of HSPA7 in KIRC Results The HSPA7 is highly expressed in KIRC tumor tissues, and its expression is related to clinico-pathological features and survival in KIRC patients. GSEA analysis displayed the high expression of HSPA7 in KIRC were related to several tumor-related and immune-related pathways. With the TIMER database analysis we showed that HSPA7 levels were correlated with the CD4+ T cells, neutrophils and Dendritic Cell. Conclusions Our study showed that HSPA7 is very important in the tumor progression and may act as a poor prognostic biomarker for KIRC tumor by modulating immune infiltrating cells.

scholarly journals FCGBP Is a Prognostic Biomarker and Associated With Immune Infiltration in Glioma

2022 ◽  
Vol 11 ◽  
Author(s):  
Tengfeng Yan ◽  
Daofeng Tian ◽  
Junhui Chen ◽  
Yinqiu Tan ◽  
Yue Cheng ◽  
...  
Keyword(s):  
Immune Response ◽  
Predictive Marker ◽  
Immune Markers ◽  
Immune Infiltration ◽  
Pathway Enrichment ◽  
Kaplan Meier ◽  
Igg Binding ◽  
Kaplan Meier Plotter ◽  
Worse Prognosis

The Fc Fragment of IgG Binding Protein (FCGBP) has been proven to participate in intestinal tumor immunity. However, the biological role of FCGBP has remained unclear in glioma. The differential expression of FCGBP was explored by Oncomine and GEPIA databases. The effect of FCGBP on prognosis was analyzed via Kaplan–Meier plotter and GEPIA. The Tumor Immune Estimation Resource (TIMER) tool was used to determine the correlations of FCGBP expression with tumor immune infiltration. Firstly, FCGBP was highly expressed in glioma and correlated with a worse prognosis. Gene Ontology (GO) and KEGG pathway enrichment analyses revealed that the differentially expressed genes (DEGs) and co-expression genes of FCGBP were mainly involved in the immune response. Furthermore, FCGBP expression was positively associated with multiple immune cells infiltrates as well as the expression levels of multiple immune markers in glioma. FCGBP co-expression networks mostly participated in the regulation of immune response. Finally, immunohistochemistry (IHC) assays were conducted to explore the expression of FCGBP, PD-L1, CCL2 and CD8 in glioma and correlations between them. We found that PDL1 and FCGBP were synchronously upregulated in glioma tissues. These findings revealed a new mechanism by which FCGBP participates in the immune tolerance of glioma, and implied the potential of FCGBP as a therapeutic target or predictive marker for patients.

scholarly journals APOC1 is a Potential Prognostic Biomarker and Correlated With Immune Infiltration in ESCC

2020 ◽  
Author(s):  
Jia-yi XIE ◽  
Ming Liu ◽  
Yaxin Luo ◽  
Zhen Wang ◽  
Zhenghong Lu ◽  
...  
Keyword(s):  
T Cells ◽  
Transcription Factors ◽  
Cd8 T Cells ◽  
Immune Cells ◽  
Poor Prognosis ◽  
Killer Cell ◽  
Gene Set Enrichment Analysis ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Kaplan Meier Plotter

Abstract PurposeEsophageal cancer (EC) is the sixth leading cause of cancer death worldwide. Esophageal squamous cell carcinoma (ESCC) is a predominant subtype of EC. Identifying diagnostic biomarkers for ESCC is necessary for cancer practice. Increasing evidence illustrates that apolipoprotein C-1 (APOC1) participates in the carcinogenesis. However, the biological function of APOC1 in ESCC remains unclear. Patients and methodsWe investigated the expression level of APOC1 using TIMER2.0 and GEO databases, the prognostic value of APOC1 in ESCC using Kaplan-Meier plotter and TCGA databases. We used LinkedOmics to identify co-expressed genes with APOC1 and perform GO and KEGG pathway analysis. The target networks of kinases, miRNAs and transcription factors were predicted by gene set enrichment analysis (GSEA). The correlations between APOC1 and immune infiltration were calculated using TIMER2.0 and CIBERSORT databases. We further performed the prognostic analysis based on APOC1 expression levels in related immune cells subgroups via Kaplan-Meier plotter database. ResultsAPOC1 was found overexpressed in tumor tissues in multiple ESCC cohorts and high APOC1 expression was related to a dismal prognosis. Multivariate analysis confirmed that APOC1 overexpression was an independent indicator of poor OS. Functional network analysis indicated that APOC1 might regulate the natural killer cell mediated cytotoxicity, phagosome, AMPK and hippo signaling through pathways involving some cancer-related kinases, miRNA and transcription factors. Immune infiltration analysis showed that APOC1 was significantly positively correlated with M0 macrophages cells, M1 macrophages cells and activated NK cells, negatively correlated with regulatory T cells, CD8 T cells, neutrophils and monocytes. High APOC1 expression had a poor prognosis in server immune cells subgroups in ESCC, including decreased CD8+ T cells subgroups. ConclusionThese findings suggest that increased expression of APOC1 is related to poor prognosis and immune infiltration in ESCC. APOC1 holds promise for serving as a valuable diagnostic and prognostic marker in ESCC.

Low TWEAK expression indicates poor survival and is correlated with sparse TIICs in lung adenocarcinoma (LUAD).

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21017-e21017
Author(s):  
Jinchun Wu ◽  
Xianyu Liu ◽  
Yanhua Mou ◽  
Shan Zeng ◽  
Jin Zhang ◽  
...  
Keyword(s):  
T Cells ◽  
Lung Adenocarcinoma ◽  
Cd8 T Cells ◽  
Immune Cells ◽  
Poor Prognosis ◽  
Immune Escape ◽  
Underlying Mechanism ◽  
Memory Cd8 T Cells ◽  
Kaplan Meier ◽  
Kaplan Meier Plotter

e21017 Background: Lung adenocarcinoma (LUAD) occupies the most of non-small cell lung cancer (NSCLC) and shows promising response to PD-1 immunotherapy, but immune escape will cause treatment failure indicating poor prognosis. TWEAK (Tumor necrosis factor-related weak inducer of apoptosis, also known as TNFSF12) combining with its receptor FN14 (fibroblast growth factor–inducible 14) mediates crucial innate and adaptive immune pathways to promote the progression of multiple autoimmune diseases. So we assumed that TWEAK is a prognostic predictor and related with tumor-infiltrating immune cells (TIICs) in LUAD. Methods: TWEAK expression of LUAD was primarily investigated in The Cancer Immunome Atlas (TCIA) and then validated in Tumor Immune Estimation Resource (TIMER) databases. We assessed the effect of TWEAK on the survival via the Kaplan-Meier plotter, GEPIA2 (gene expression profiling interactive analysis) and PrognoScan databases. The relation between TWEAK and TIICs was explored in TIMER and TCIA, as well as the correlation of TWEAK and FN14 was analyzed in TIMER and GEPIA2. Results: Low TWEAK expression was significantly associated with poor relapse-free survival (RFS) (HR = 0.62, 95% CI = 0.4~0.97, logrank P = 0.035) and overall survival (OS) (HR = 0.61, 95% CI = 0.46~0.83, logrank P = 0.0012) in LUAD from Kaplan-Meier plotter. Similar impacts of TWEAK on the survival were validated in GEPIA2 and four independent cohorts from PrognoScan (jacob-00182-CANDF, GSE13213, jacob-00182-MSK and GSE31210). Moreover, reduced TWEAK expression was closely related with the paucity of TIICs which contributed to poor OS, including central memory CD8 T cells, plasmacytoid dendritic cells, activated CD8 T cells, monocytes, T follicular helper cells, immature B cells and eosinophils. In addition, TWEAK expression was positively related with the expression level of FN14 in both GEPIA2(R = 0.13, P= 0.0031) and TIMER (partial.cor = 0.212, P= 2.04e-06). Conclusions: Low TWEAK expression maybe indicate poor prognosis in LUAD, and correlated with the impaired infiltration of immune cells in the tumor region. The defective TWEAK/FN14 pathway possibly accounts for these observations, but the underlying mechanism needs to be further explored.

scholarly journals SLC2A5 Correlated with Immune Infiltration: A Candidate Diagnostic and Prognostic Biomarker for Lung Adenocarcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Lianxiang Luo ◽  
Jiating Su ◽  
Yushi Zheng ◽  
Fangfang Huang ◽  
Riming Huang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lung Adenocarcinoma ◽  
Immune Cell ◽  
Prognostic Biomarker ◽  
Clinical Feature ◽  
Lung Cancer Patients ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Tumor Tissues ◽  
Kaplan Meier Plotter

Lung adenocarcinoma (LUAD) is a major subtype of lung cancer with a relatively poor prognosis, requiring novel therapeutic approaches. Great advances in new immunotherapy strategies have shown encouraging results in lung cancer patients. This study is aimed at elucidating the function of SLC2A5 in the prognosis and pathogenesis of LUAD by analyzing public databases. The differential expression of SLC2A5 in various tissues from Oncomine, GEPIA, and other databases was obtained, and SLC2A5 expression at the protein level in normal and tumor tissues was detected with the use of the HPA database. Then, we used the UALCAN database to analyze the expression of SLC2A5 in different clinical feature subgroups. Notably, in both PrognoScan and Kaplan-Meier plotter databases, we found a certain association between SLC2A5 and poor OS outcomes in LUAD patients. Studies based on the TIMER database show a strong correlation between SLC2A5 expression and various immune cell infiltrates and markers. The data analysis in the UALCAN database showed that the decreased promoter methylation level of SLC2A5 in LUAD may lead to the high expression of SLC2A5. Finally, we used the LinkedOmics database to evaluate the SLC2A5-related coexpression and functional networks in LUAD and to investigate their role in tumor immunity. These findings suggest that SLC2A5 correlated with immune infiltration can be used as a candidate diagnostic and prognostic biomarker in LUAD patients.

scholarly journals MicroRNAs expression profile in CCR6+ regulatory T cells

2014 ◽  
Author(s):  
Juanjuan Zhao ◽  
Yongju Li ◽  
Yan Hu ◽  
Chao Chen ◽  
Ya Zhou ◽  
...  
Keyword(s):  
T Cells ◽  
Regulatory T Cells ◽  
Signaling Pathways ◽  
Expression Profile ◽  
Immune Cells ◽  
Potential Role ◽  
Biological Function ◽  
Fold Change ◽  
Insight Into

Backgroud: CCR6+ CD4+ regulatory T cells (CCR6+Tregs), a distinct Tregs subset, played an important role in various immune diseases. Recent evidence showed that microRNAs (miRNAs) are vital regulators in the function of immune cells. However, the potential role of miRNAs in the function of CCR6+Tregs remains largely unknown. In this study, we detected the expression profile of miRNAs in CCR6+ Tregs. Materials and Methods: The expression profile of miRNAs as well as genes in CCR6+Tregs or CCR6-Tregs from Balb/c mice were detected by microarray. The signaling pathways were analyzed using Keggs pathway library. Results: We found that there were 58 miRNAs significantly upregulated and 62 downregulated up to 2 fold in CCR6+Tregs compared with CCR6-Tregs. Moreover, 1391 genes were observed with 3 fold change and 20 signaling pathways were enriched using Keggs pathway library. Conclusion: The present data firstly showed CCR6+Tregs expressed specific miRNAs pattern, which provide an insight into the role of miRNAs in the biological function of distinct Tregs subsets.

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