scholarly journals DNASE1L3 as a Prognostic Biomarker Associated with Immune Cell Infiltration in Cancer

2021 ◽  
Vol Volume 14 ◽  
pp. 2003-2017
Author(s):  
Zenghua Deng ◽  
Mengmeng Xiao ◽  
Dexiao Du ◽  
Nan Luo ◽  
Dongfang Liu ◽  
...  
Keyword(s):  
Immune Cell ◽  
Prognostic Biomarker ◽  
Cell Infiltration ◽  
Immune Cell Infiltration

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

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Lianxiang Luo ◽  
Yushi Zheng ◽  
Zhiping Lin ◽  
Xiaodi Li ◽  
Xiaoling Li ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Mrna Expression ◽  
Immune Cell ◽  
Prognostic Biomarker ◽  
Tumor Infiltrating Lymphocytes ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Methyl Transferase ◽  
Cox Proportional Hazard Regression

It has attracted growing attention that the role of serine hydroxy methyl transferase 2 (SHMT2) in various types of cancers. However, the prognostic role of SHMT2 in lung adenocarcinoma (LUAD) and its relationship with immune cell infiltration is not clear. In this study, the information of mRNA expression and clinic data 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 infiltration in LUAD. The mRNA expression and protein expression of SHMT2 in LUAD tissues were higher than in normal tissue. A Kaplan-Meier analysis showed that patients with 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 in patients with LUAD. Meanwhile, the gene SHMT2 was highly associated with tumor-infiltrating lymphocytes in LUAD. These results suggest that the SHMT2 gene is a promising candidate as a potential prognostic biomarker and highly associated with different types of immune cell infiltration in LUAD.

scholarly journals YAP1 is a Prognostic Biomarker and Correlated with Immune Cell Infiltration in Pancreatic Cancer

2021 ◽  
Vol 8 ◽  
Author(s):  
Kai Sun ◽  
Xue-de Zhang ◽  
Xiao-yang Liu ◽  
Pei Lu
Keyword(s):  
Gene Expression ◽  
Pancreatic Cancer ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Prognostic Value ◽  
Immune Cell ◽  
Prognostic Biomarker ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Long Term Outcome

Yes-associated protein-1 (YAP1) is an important effector of the Hippo pathway and has crosstalk with other cancer signaling pathways. It induces an immunosuppressive tumor microenvironment by activating pathways in several cellular components. However, the mechanisms by which it drives immune infiltration in pancreatic cancer remain poorly understood. We analyzed the expression of YAP1 as well as its prognostic value and correlations with immune infiltrates in various cancers, with a focus on pancreatic cancer. In particular, using the Oncomine database and Gene Expression Profiling Interactive Analysis (GEPIA) database, we found that YAP1 is differentially expressed between tumor tissues and control tissues in a number of cancers and in particular, is elevated in pancreatic cancer. Using the Kaplan–Meier plotter, GEPIA, and Long-term Outcome and Gene Expression Profiling database of pan-cancers (LOGpc), we further established the prognostic value of YAP1. We found that YAP1 expression was significantly related to outcomes in multiple types of cancer based on data from The Cancer Genome Atlas, particularly in pancreatic cancer. Correlations between YAP1 and immune cell infiltration and immune cell marker expression were examined using Tumor Immune Estimation Resource and GEPIA. High expression levels of YAP1 were significantly associated with a variety of immune markers and immune cell subsets in pancreatic cancer. These results suggest that YAP1 is correlated with patient outcomes and tumor immune cell infiltration in multiple cancer types and is a valuable prognostic biomarker in pancreatic cancer.

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 B3GNT3: A prognostic biomarker associated with immune cell infiltration in pancreatic adenocarcinoma

2020 ◽  
Vol 21 (2) ◽  
Author(s):  
Kaiwen Kong ◽  
Yuanyu Zhao ◽  
Leilei Xia ◽  
Hui Jiang ◽  
Mingjuan Xu ◽  
...  
Keyword(s):  
Pancreatic Adenocarcinoma ◽  
Immune Cell ◽  
Prognostic Biomarker ◽  
Cell Infiltration ◽  
Immune Cell Infiltration

scholarly journals ZC3H12D is a prognostic biomarker associated with immune cell infiltration in lung adenocarcinoma

2020 ◽  
Vol 9 (10) ◽  
pp. 6128-6142
Author(s):  
Wangang Gong ◽  
Wumin Dai ◽  
Haibin Wei ◽  
Yongyi Chen ◽  
Zhiguo Zheng
Keyword(s):  
Lung Adenocarcinoma ◽  
Immune Cell ◽  
Prognostic Biomarker ◽  
Cell Infiltration ◽  
Immune Cell Infiltration

scholarly journals INHBA is A Novel Prognostic Biomarker And Correlated With Immune Infiltrates In Gastric Cancer

2021 ◽  
Author(s):  
Weifeng Yu ◽  
Zishao Zhong ◽  
Guihua He ◽  
Wang Zhang ◽  
Zhenhao Ye ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Extracellular Matrix ◽  
Immune Cell ◽  
Prognostic Biomarker ◽  
Curve Analysis ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Collagen Formation ◽  
Matrix Organization ◽  
The Impact

Abstract Background: Inhibin subunit beta A (INHBA) is reportedly a potential prognostic biomarker for a variety of cancers. However, its role in gastric cancer (GC) remains elusive. Methods: The expression of INHBA in GC and healthy tissues based on the data obtained from the UCSC Xena database. Logistic regression and Cox regression was performed to explore the correlation between clinical indicators and INHBA expression. Kaplan–Meier curve analysis was performed to assess the impact of INHBA expression on overall survival(OS). In addition, Received operating characteristic curve analysis was implied to clarify the diagnostic role of INHBA in GC. Functional analyses were conducted to explain the potential functions and enrichment pathways for INHBA. TIMER and GEPIA databases were used to calculate the confidence between INHBA and immune cell infiltration in GC. Results: INHBA was upregulated in GC(P < 0.001) and associated with a poor prognosis(P = 0.037). INHBA expression was an independent risk factor for OS(P = 0.004). Additionally, INHBA was a potential diagnostic marker in GC(AUC=0.961) and it was associated with extracellular matrix organization, response to growth factor, and cell-substrate adhesion. Tumor-associated signaling pathways, such as Wnt, Hippo, and p53, were associated with INHBA. Reactome pathways, such as collagen formation and extracellular matrix organization, were significantly enriched. Moreover, high INHBA expression displayed a strong correlation with immune cell infiltration, especially with macrophage infiltration in GC.Conclusions: INHBA could be a potential prognostic biomarker for GC and may drive the abnormal activity of critical cancer-associated pathways, potentially contributing to immune cell infiltration to promote GC development and becoming a new drug target for targeted GC therapies.

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