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 FURIN Correlated with Immune Infiltration Serves as a Potential Biomarker in SARS-CoV-2 Infection-Related Lung Adenocarcinoma

2021 ◽  
Author(s):  
Lianxiang Luo ◽  
Manshan Li ◽  
Jiating Su ◽  
Xinyue Yao ◽  
Hui Luo
Keyword(s):  
Lung Adenocarcinoma ◽  
Immune Cell ◽  
Clinical Feature ◽  
Related Gene ◽  
Poor Overall Survival ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Potential Biomarker ◽  
Kaplan Meier Plotter

Abstract Background: FURIN, as a proprotein invertase, has been found to be expressed in a variety of cancers and plays an important role in cancer. In addition, SARS-CoV-2 requires FURIN to enter human cell. However, the role of FURIN in lung adenocarcinoma remains unclear. And the expression of SARS-CoV-2 related gene in lung adenocarcinoma have not been clarify. Methods: In this study, we obtained the expression data of Oncomine, TIMER, GEPIA, HPA. Then we used UALCAN database to analyze the expression of FURIN in different clinical feature subgroups. In PrognoScan and Kaplan-Meier plotter databases, we found a certain association between FURIN and poor OS outcomes in LUAD patients. Then we used the cBioPortal database to determine the type and frequency of FURIN changes in LUAD patients. Studies based on the TIMER database show a strong correlation between FURIN expression and various immune cell infiltrates and markers. Analysis in UALCAN database showed that the decreased promoter methylation level of FURIN in LUAD may lead to the high expression of FURIN. Furthermore, we used the LinkedOmics database to evaluate gene co-expression of FURIN in LUAD and to investigate their role in tumor immunity. Finally, we evaluated the expression of FURIN in LUAD patients who infected with SARS-CoV.Results: FURIN was highly expressed in lung adenocarcinoma. And FURIN expression was significantly associated with poor overall survival. FURIN expression was found to be correlated with six major permeable immune cells and with macrophage immune marker in LUAD patients. In addition, SARS-CoV-2 infection might affect the expression of FURIN. Conclusions: FURIN, as SARS-CoV-2 related gene, was highly expressed in LUAD. Furthermore, FURIN can be used as a promising biomarker for determining prognosis and immune infiltration in LUAD patients.

scholarly journals SNX20AR/MiRNA-301a-3p/SNX20 Axis Associated With Cell Proliferation and Immune Infiltration in Lung Adenocarcinoma

2021 ◽  
Vol 8 ◽  
Author(s):  
Yixiao Yuan ◽  
Xiulin Jiang ◽  
Lin Tang ◽  
Juan Wang ◽  
Qianqian Liu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Proliferation ◽  
Lung Adenocarcinoma ◽  
Cancer Progression ◽  
Immune Cell ◽  
Human Cancer ◽  
Dna Hypermethylation ◽  
Over Expression ◽  
Immune Infiltration ◽  
And Migration

Lung cancer is the most common tumor with severe morbidity and high mortality. Increasing evidence has demonstrated that SNX20 plays crucial roles in the progression of human cancer. However, the functions and mechanism of SNX20 in LUAD are still barely known. Here, we employ the TCGA, GEO and CCLE databases to examine the expression of SNX20 in human varies cancer, the results shown that SNX20 is down-regulated in lung Adenocarcinoma, SNX20 level was significantly positive correlated with poor prognosis and lung cancer immune cell infiltration. We found that over-expression of SNX20 significantly restrain NSCLC cell proliferation and migration. Subsequently, we discover a network regulating SNX20 in LUAD, further study found that the decreased of the SNX20 likely caused by DNA hypermethylation. Furthermore, we identified that SNX20AR/miRNA-301a-3p mediated decreased of SNX20 correlated with lung cancer progression and cancer immune infiltration in LUAD. Our findings suggested that ncRNAs play a crucial role in the regulatory network of SNX20. Collectively, our findings demonstrate the suppressor roles of the SNX20AR/miRNA-301a-3p/SNX20 axis in Lung Adenocarcinoma, represent that SNX20 have the potential of as an effective therapeutic target in future.

scholarly journals Upregulated CCNE1 Correlates with Poor Prognosis, Tumor Immune Infiltration and Escape in Breast Cancer

2021 ◽  
Author(s):  
Jiaxi Feng ◽  
Yanan Hu ◽  
Dan Liu ◽  
Shanshan Wang ◽  
Mengci Zhang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Immune Cells ◽  
Poor Prognosis ◽  
Immune Cell ◽  
High Expression ◽  
Expression Level ◽  
Immune Cell Infiltration ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Kaplan Meier Plotter

Abstract Background Breast cancer (BC) is the most common malignant tumor in women and widely known for its poor prognosis. More and more research has discovered that cyclin E1 (CCNE1) plays an important role in progression of various types of cancer. But its specific mechanism in BC progression still needs further research to explore.Methods At first, we determined the expression and prognostic value of CCNE1 through The Cancer Genome Atlas (TCGA) database and The Genotype-Tissue Expression (GTEx) data. Then, we predicted the upstream non-coding RNAs of CCNE1 through StarBase, GEPIA, and Kaplan-Meier plotter database. We further studied the correlation of CCNE1 expression with BC immune cell infiltration, biomarkers of immune cells and immune checkpoints expression through TIMER and GEPIA databases.Results The results suggested that CCNE1 was significantly upregulated in BC and its high expression was correlated with poor prognosis in BC patients. Next, we identified long noncoding RNA (lncRNA) LINC00511 / microRNA-195-5p (miR-195-5p) / CCNE1 axis as the most potential pathway that could regulate CCNE1 expression in BC through StarBase, GEPIA, and Kaplan-Meier plotter database. Furthermore, our in-depth research discovered that CCNE1 expression level was significantly correlated with tumor immune cell infiltration, biomarkers of immune cells, and immune checkpoint expression in BC. conclusions In summary, high expression level of CCNE1 was significantly correlated with poor prognosis, tumor immune infiltration and escape in BC.

scholarly journals Identification of SHMT2 as a Potential Prognostic Biomarker and Correlating With Immune Infiltrates in Lung Adenocarcinoma

2020 ◽  
Author(s):  
Lianxiang Luo ◽  
Yushi Zheng ◽  
Zhiping Lin ◽  
Xiaodi Li ◽  
Xiaoling Li ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Immune Cell ◽  
Prognostic Biomarker ◽  
Tumor Infiltrating Lymphocytes ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Kaplan Meier ◽  
Online Databases ◽  
Cox Proportional Hazard Regression

Abstract Background: The role of Serine hydroxymethyltransferase2 (SHMT2) in diverse cancers has attracted increasing attention. However, the prognostic role of SHMT2 in lung adenocarcinoma (LUAD) and its relationship with immune cell infiltration is yet to be studied.Methods: The data of mRNA and clinic in LUAD were respectively downloaded from the GEO and TCGA database. We conducted a biological analysis to select the signature gene SHMT2. Online databases including Oncomine, GEPIA, TISIDB, TIMER, and HPA were applied to analyze the characterization of SHMT2 expression, prognosis and the correlation with immune infiltrates in LUAD.Results: The mRNA expression and protein expression of SHMT2 in LUAD were higher than normal tissue. A Kaplan-Meier analysis showed the lower expression level of SHMT2 had a better overall survival rate. Multivariate analysis and the Cox proportional hazard regression model revealed that SHMT2 expression was an independent prognostic factor for patients with LUAD. Meanwhile, the gene SHMT2 was highly associated with tumor-infiltrating lymphocytes in LUAD.Conclusions: These results suggest that the SHMT2 gene is a promising candidate as a potential prognostic biomarker and highly associated with different types of phenotypes of immune cell infiltration in LUAD.

scholarly journals Bromine domain protein 4 is an important marker for prognosis of ovarian cancer and tumor immune infiltration

2021 ◽  
Author(s):  
Chujia Chen ◽  
Zhiyong Yang ◽  
Qiuchan Zhao ◽  
Bangming Xu ◽  
Donglin Cao
Keyword(s):  
Ovarian Cancer ◽  
Immune Cell ◽  
Expression Level ◽  
Immune Markers ◽  
Immune Infiltration ◽  
Normal Tissues ◽  
Kaplan Meier ◽  
Domain Protein ◽  
Kaplan Meier Plotter

Abstract Background Ovarian cancer (OC) is one of the most common malignant gynecological tumors, but its pathogenesis is unclear. Bromine domain protein 4 (BRD4) is involved in the malignant transformation of cells, as well as the invasion and metastasis of tumor cells. The biological role of BRD4 in ovarian cancer is yet to be determined. Methods The differential expression of BRD4 in OC and corresponding normal tissues was evaluated by exploring the Tumor Immune Assessment Resources (TIMER) and the Oncomine database. The correlation between the expression level of BRD4 and the prognosis of OC patients was evaluated using the Kaplan-Meier Plotter database. Using TIMER, we further studied the correlation between BRD4 and tumor immune cell infiltration. Results The expression of BRD4 was significantly higher in patients with OC, and high BRD4 expression was closely related to low overall survival rate. The BRD4 expression was associated with the levels of immune markers of macrophages, dendritic cells, neutrophils, and various effector T cells. Taken together, these findings show that BRD4 expression is significantly related to immune infiltration in OC and suggest that BRD4 might play an important role in the immune evasion of OC cells. Conclusion The expression level of BRD4 in OC tissues is significantly upregulated, and its high expression is significantly associated with poor prognosis of patients and is closely related to tumor immune infiltration. These results suggest that BRD4 can be used as a prognostic marker and a marker of immune infiltration in OC.

Multiomics analysis reveals high-immune infiltration in tumor-adjacent lung tissues affects the prognosis of stage I NSCLC.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 8540-8540
Author(s):  
Lisa Ying ◽  
Dan Su ◽  
Zhang Chunliu ◽  
Yiping Tian ◽  
Jing Bai ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Immune Cell ◽  
Cell Activity ◽  
Squamous Carcinoma ◽  
Human Leukocyte ◽  
Lung Cancer Screening ◽  
Spiral Ct ◽  
Stage I ◽  
Immune Infiltration ◽  
Tumor Tissues

8540 Background: Along with the wide application of low-dose spiral CT in lung cancer screening, a large number of resectable patients with lung cancer are identified, especially stage I Non-Small Cell Lung Cancer (NSCLC). However, their prognosis varies greatly and 5-year recurrence rate of stage I NSCLC is around 30%. Therefore, it is crucial to explore the potential mechanism of recurrence of early NSCLC. Methods: Eighty-seven patients with stage I NSCLC were enrolled from April 2008 to July 2015, including 79 squamous carcinoma and 28 adenocarcinoma. Frozen tumor tissues and paired tumor-adjacent lung tissues were collected to employ targeted panel sequencing, RNA sequencing and TCR repertoire sequencing. Results: Ninety-five non-silent mutations were detected in tumor-adjacent lung tissues with a median tumor mutation burden of 1.5/Mb, significantly lower than that in tumor tissues (11/Mb), p < 0.05. 42 mutations were specifically detected in the adjacent normal tissues, enriching in the immune response pathways. Comparing with paired tumors, tumor-adjacent lung tissues were found more favorable immune infiltration including higher immune cell activity like CD8+ T cell (0.50 vs 0.43, p < 0.0001), up-regulated immune-associated pathways, higher TCR clonality (0.19 vs 0.18, p < 0.05), less loss of heterozygosity (LOH) of human leukocyte antigen (HLA) (6.25% vs 50%, p < 0.0001) and observed predicted neoantigens expression (1 vs 128, p < 0.01). However, more shared viral-associated TCRs in tumor and tumor-adjacent tissues were found using the GLIPH algorithm. Prognostic analysis showed patients with higher overlap of TCR in tumors and tumor-adjacent lung tissues were prone to recur in five years. Furthermore, patients with higher immune infiltration in tumor-adjacent lung tissues had favorable outcomes than those with lower immune infiltration (HR: 0.37 for DFS, p < 0.05, HR: 0.31 for OS, p < 0.05), irrelevant of the infiltration level in tumor tissues. Conclusions: Immune microenvironment in tumor-adjacent lung tissues plays important roles in progress of stage I NSCLC.

scholarly journals COL5A3 is a prognostic biomarker and correlated with immune infiltrates in pancreatic cancer

2021 ◽  
Author(s):  
Yongjie Li ◽  
Min Zeng ◽  
Ting Wang ◽  
Feng Jiang
Keyword(s):  
Pancreatic Cancer ◽  
Roc Curve ◽  
Prognostic Biomarker ◽  
Expression Profiles ◽  
Functional Enrichment ◽  
High Expression ◽  
Immune Infiltration ◽  
Normal Tissues ◽  
Kaplan Meier ◽  
Tumor Tissues

Abstract Background Pancreatic cancer is a malignant tumor of digestive system with high fatality rate, and its prognosis is very poor. Type Ⅴ collagen α3 (COL5A3) is highly expressed in a variety of tumor tissues, but its prognostic value and immune infiltration in pancreatic cancer are still unclear. Therefore, we evaluated the prognostic role of COL5A3 in pancreatic cancer and its correlation with immune infiltration. Methods The transcriptional expression profiles of COL5A3 in pancreatic cancer and normal tissues were downloaded from the Cancer Genome Atlas (TCGA). In the GEO (Gene expression omnibus) dataset (GSE16515), we compared the expression of COL5A3 in normal and tumor tissues. The expression of COL5A3 protein was evaluated by the human protein atlas (THPA). The effect of COL5A3 on survival was evaluated by Kaplan-Meier method. Receiver operating characteristic (ROC) curve was used to distinguish pancreatic cancer from paracancerous normal tissues. Protein-protein interaction (PPI) network was constructed by the STRING. Use the "ClusterProfiler" package for functional enrichment analysis. Tumor immune estimation resource (TIMER) and tumor-immune system interaction database (TISIDB) were used to determine the relationship between COL5A3mRNA expression and immune infiltration. Results Compared with normal tissues, COL5A3 is highly expressed in pancreatic cancer tissues. The high expression of COL5A3 is related to the poor clinicopathological features and poor prognosis of pancreatic cancer. Kaplan-Meier survival analysis showed that the prognosis of pancreatic cancer patients with high expression of COL5A3 was worse than that of patients with low expression of COL5A3. ROC curve shows that COL5A3 has high sensitivity and specificity in the diagnosis of pancreatic cancer. Correlation analysis showed that the expression of COL5A3mRNA was related to immune cell infiltration. Conclusion This study reveals for the first time that COL5A3 may be a new prognostic biomarker related to immune infiltration and provide a new target for the diagnosis and treatment of pancreatic cancer.

scholarly journals Hepcidin Upregulation in Lung Cancer: A Potential Therapeutic Target Associated With Immune Infiltration

2021 ◽  
Vol 12 ◽  
Author(s):  
Yumei Fan ◽  
Bing Liu ◽  
Fei Chen ◽  
Zhiyuan Song ◽  
Bihui Han ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Prognostic Value ◽  
Immune Cell ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Gene Set Enrichment ◽  
Hepcidin Expression ◽  
Lung Cancer Patients ◽  
Immune Infiltration

Lung cancer has the highest death rate among cancers globally. Hepcidin is a fascinating regulator of iron metabolism; however, the prognostic value of hepcidin and its correlation with immune cell infiltration in lung cancer remain unclear. Here, we comprehensively clarified the prognostic value and potential function of hepcidin in lung cancer. Hepcidin expression was significantly increased in lung cancer. High hepcidin expression was associated with sex, age, metastasis, and pathological stage and significantly predicted an unfavorable prognosis in lung cancer patients. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) results suggested that hepcidin is involved in the immune response. Furthermore, hepcidin expression was positively correlated with the infiltration levels of immune cells and the expression of diverse immune cell marker sets. Importantly, hepcidin may affect prognosis partially by regulating immune infiltration in lung cancer patients. Hepcidin may serve as a candidate prognostic biomarker for determining prognosis associated with immune infiltration in lung cancer.

scholarly journals Upregulated CCNE1 Correlates with Poor Prognosis, Tumor Immune Infiltration and Escape in Breast Cancer

2021 ◽  
Author(s):  
Jiaxi Feng ◽  
Yanan Hu ◽  
Dan Liu ◽  
Shanshan Wang ◽  
Mengci Zhang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Immune Cells ◽  
Poor Prognosis ◽  
Immune Cell ◽  
High Expression ◽  
Expression Level ◽  
Immune Cell Infiltration ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Kaplan Meier Plotter

Abstract BackgroundBreast cancer (BC) is the most common malignant tumor in women and widely known for its poor prognosis. More and more research has discovered that cyclin E1 (CCNE1) plays an important role in progression of various types of cancer. But its specific mechanism in BC progression still needs further research to explore.MethodsAt first, we determined the expression and prognostic value of CCNE1 through The Cancer Genome Atlas (TCGA) database and The Genotype-Tissue Expression (GTEx) data. Then, we predicted the upstream non-coding RNAs of CCNE1 through StarBase, GEPIA, and Kaplan-Meier plotter database. We further studied the correlation of CCNE1 expression with BC immune cell infiltration, biomarkers of immune cells and immune checkpoints expression through TIMER and GEPIA databases.ResultsThe results suggested that CCNE1 was significantly upregulated in BC and its high expression was correlated with poor prognosis in BC patients. Next, we identified long noncoding RNA (lncRNA) LINC00511 / microRNA-195-5p (miR-195-5p) / CCNE1 axis as the most potential pathway that could regulate CCNE1 expression in BC through StarBase, GEPIA, and Kaplan-Meier plotter database. Furthermore, our in-depth research discovered that CCNE1 expression level was significantly correlated with tumor immune cell infiltration, biomarkers of immune cells, and immune checkpoint expression in BC.ConclusionIn summary, high expression level of CCNE1 was significantly correlated with poor prognosis, tumor immune infiltration and escape in BC.

Gasdermin C as a potential prognostic biomarker and its correlation with immune infiltration in pancreatic ductal adenocarcinoma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16256-e16256
Author(s):  
Xianghou Xia ◽  
Yang Yu ◽  
Hongjian Yang ◽  
Dehong Zou ◽  
Canming Wang ◽  
...  
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
Cancer Cells ◽  
Prognostic Value ◽  
Immune Cell ◽  
Prognostic Significance ◽  
High Expression ◽  
Ductal Adenocarcinoma ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Kaplan Meier Plotter

e16256 Background: Although pyroptosis is critical for macrophages against pathogen infection, its role in cancer cells remains elusive. GSDMC is a pyroptosis executioner newly identified in cancer cells and have been shown to facilitate inflammatory tumor death. However, the expression of GSDMC in Pancreatic Ductal Adenocarcinoma (PDAC), its prognostic significance and possible impact on reshaping tumor immune microenviroment in PDAC is still unknown. Methods: We investigated the expression level of GSDMC using TNM plotter with TCGA and GTEx databases, the prognostic value of GSDMC in PDAC using Kaplan-Meier plotter with TCGA, GTEx and TCGA databases. The correlations between GSDMC and immune infiltration in PDAC were calculated using TIMER2.0 and TIDE with TCGA database. We further validated the prognostic value of GSDMC with immunohistochemistry(IHC) staining on a tissue microarray of 172 cases of PDAC patients receiving treatment in our institution. Correlations between expression of GSDMC and tumor infiltration lymphacytes(TILs) cells were also analyzed on tissue samples of those 172 PDAC patients. Results: TNM plotter analysis shows that the expression of GSDMC in PDAC tumor tissue is 10.49 folds higher than it is in pancreatic normal tissues (p = 8.86*e-56). Results from Kaplan-Meier plotter analysis shows high expression of GSDMC is significantly correlated with poorer overall survival(OS), HR = 1.8(1.19−2.71) logrank P = 0.004 and shorter relapse free survival (RFS), HR = 4.6(1.94−10.88), Logrank P = 0.00014 in PDAC. Analysis with TIMER2.0 and TIDE platform shows that expression of GSDMC is positively correlated with immunosuppressive cells, Cancer Associated Fiberblast (CAF) and Meyloid Derived Tumor Suprresso Cells(MDTSC). IHC staining analysis results is also consistent with aformentioned bioinformatic analysis, showing that high GSDMC expression correlated with shorter OS and reduced Tils infiltration. Conclusions: Our findings suggest that high expression of GSDMC is related to poor prognosis and compromised immune cell infiltration in PDAC. GSDMC holds promise for serving as a valuable prognostic marker and therapeutic target in PDAC.

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