scholarly journals PCOLCE Is Potent Prognostic Biomarker and Associates With Immune Infiltration in Gastric Cancer

2020 ◽  
Vol 7 ◽  
Author(s):  
Aizhai Xiang ◽  
Xia Lin ◽  
Lvping Xu ◽  
Honggang Chen ◽  
Jufeng Guo ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
T Cells ◽  
Cancer Patients ◽  
Prognostic Biomarker ◽  
M2 Macrophage ◽  
Th1 Cell ◽  
Clinical Prognosis ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Gastric Cancer Patients

BackgroundThe exact biological role of PCOLCE was not yet clear and there were few reports study the correlation of PCOLCE gene expression level with the occurrence and development of gastric cancer.MethodsThe expression of PCOLCE was analyzed by performing the Oncomine and Ualcan database. We evaluated the function of PCOLCE on clinical prognosis with the use of Kaplan–Meier plotter database. The relationship between PCOLCE and cancer immune in filtrates was researched by Tumor Immune Estimation Resource (TIMER) site database.ResultsPCOLCE significantly upregulated in gastric cancer patients compared to normal gastric samples. And the increased expression of PCOLCE mRNA was closely linked to shorter overall survival (OS), progress-free survival (PFS) in all gastric cancers. Besides, PCOLCE expression displayed a tight correlation with infiltrating levels of macrophages and dendritic cells (DCs) in gastric cancer. Moreover, PCOLCE expression was positively correlated with diverse immune marker sets in gastric cancer.ConclusionAll the results above suggested that overexpression of PCOLCE indicated unfavorable prognosis in patients with gastric cancer. PCOLCE was correlated with immune infiltrating levels including those of B cells, CD8 + T cells, CD4 + T cells, macrophages, neutrophils, and DCs in gastric cancer patients. All the findings suggested that PCOLCE could be used as a prognostic biomarker for determining prognosis and immune infiltration in gastric cancer. Additionally, PCOLCE expression potentially contributed to the regulation of monocyte, M2 macrophage, Tfh, CD8 + T cell, TAM, Th1 cell Thus PCOLCE is a potential target for gastric cancer therapy and these preliminary findings require further study to determine whether PCOLCE-targeting reagents might be developed for clinical application in gastric cancer.

scholarly journals GBP1 Is a Prognostic Biomarker and Correlates With Immune Infiltrates in Gastric Cancer

2021 ◽  
Author(s):  
Xiaoqiang Feng ◽  
Zedan Zhang ◽  
Qingke Chen ◽  
Chujin Ye ◽  
Tong Tan ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
T Cells ◽  
Cancer Patients ◽  
Clinical Characteristics ◽  
Prognostic Biomarker ◽  
Gene Marker ◽  
M2 Macrophage ◽  
Normal Tissues ◽  
Gastric Cancer Patients ◽  
The Relationship

Abstract Background: The guanylate-binding protein 1 (GBP1) belongs to the member of GTPase dynamin superfamily and plays a major role as tumor suppressor or tumorigen in cancers, such as colon cancer, ovarian cancer, melanoma, and head and neck squamous cell carcinoma. However, the relationship between GBP1 and gastric cancer (GC) remains scanty. Methods: GBP1 mRNA expression in different types of tumors and their corresponding adjacent normal tissues were evaluated via exploring Tumor Immune Estimation Resource (TIMER) and Gene Expression Profiling Interactive Analysis (GEPIA) database, while the protein expression was detected by The Human Protein Atlas (HPA). The relationship between the clinical characteristics and outcome of gastric cancer patients was examined through Kaplan–Meier plotter tool. The correlations between GBP1 and tumor immune infiltrates were evaluated via TIMER and TISIDB. Additionally, the relationship between GBP1 expression and gene marker sets of immune infiltrates were analyzed by TIMER and GEPIA.Results: GBP1 expression was significantly higher in GC compared with corresponding normal tissues. High GBP1 expression in GC associated with better overall survival (OS HR=0.53, P=5.2e-09) and progression-free survival (PFS HR=0.49, P=1.90e-06). Moreover, its expression level was positively correlated with different clinical characteristics, such as sex, TNM stage, and Lauren classification. With a comprehensive analysis of three immune-related databases, TIMER, GEPIA, and TISIDB, we found GBP1 not only showed a strong correlation with tumor-infiltrating CD8+ T cells, Th1 cells, but also with Tregs, exhausted T cells, M2 macrophage, monocytes. Furthermore, GBP1 was significantly associated with IFN-γ, granzyme B, perforin, FasL and CXCL9, CXCL10, and CXCL11. Conclusion: This study provides the first evidence that GBP1 is a key gene that correlates with the prognosis and associated with various tumor-infiltrated immune cells in gastric cancer patients. In conclusion, GBP1 may act as a potent prognostic biomarker for predicting cancer progression and a sign of tumor-immune infiltration in GC.

scholarly journals HspA1B Is a Prognostic Biomarker and Correlated With Immune Infiltrates in different subtypes of Breast Cancers

2019 ◽  
Author(s):  
Jian He ◽  
Hui Wang
Keyword(s):  
Breast Cancer ◽  
Gastric Cancer ◽  
T Cells ◽  
Heat Shock ◽  
Heat Shock Protein ◽  
Cancer Patients ◽  
Cd8 T Cells ◽  
Prognostic Biomarker ◽  
Clinical Prognosis ◽  
Free Survival

ABSTRACTBackgroundHeat shock A1B, also known as HSP70kDa protein 1B, encodes a 70kDa heat shock protein which is a member of the heat shock protein 70 family. HspA1B is a critical gene which related to many type of diseases by involving in the ubiquitin-proteasome pathway. However, the correlations of HspA1B to prognosis and tumor-infiltrating lymphocytes in different cancers remain unclear.MethodsHspA1B expression was evaluated on the Oncomine database and Tumor Immune Estimation Resource (TIMER) site. We analyzed the influence of HspA1B on clinical prognosis using Kaplan-Meier plotter, the PrognoScan database and Gene Expression Profiling Interactive Analysis (GEPIA). The correlations between HspA1B and cancer immune infiltrates was investigated via TIMER. In addition, correlations between HspA1B expression and gene marker sets of immune infiltrates were analyzed by TIMER and GEPIA.ResultsThree cohorts (GSE9195, GSE9893, GSE3494-GPL96)) of breast cancer patients showed that high HspA1B expression was associated with poorer overall survival (OS), disease-specific survival (DSS), and disease-free survival (DFS). In addition, high HspA1B expression was significantly correlated with poor OS and progression-free survival (PFS) in bladder cancer, brain cancer and skin cancer. Moreover, HspA1B significantly impacts the prognosis of diverse cancers via The Cancer Genome Atlas (TCGA). HspA1B expression was positively correlated with infiltrating levels of CD4+ T and CD8+ T cells, macrophages, neutrophils, and dendritic cells (DCs) indifferent subtypes of Breast cancer. HspA1B expression showed strong correlations with diverse immune marker sets in BRCA-Luminal.ConclusionsOur findings suggest that HspA1B is correlated with prognosis and immune infiltrating levels of, including those of CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and DCs in multiple cancers, especially in colon and gastric cancer patients. In addition, HspA1B expression potentially contributes to regulation of tumor-associated macrophages (TAMs), DCs, T cell exhaustion and Tregs in colon and gastric cancer. These findings suggest that HspA1B can be used as a prognostic biomarker for determining prognosis and immune infiltration in BRCA-Luminal subtype.

Expression and Clinical Significance of Serum Exosomal miR-375 in Patients with Gastric Cancer

2021 ◽  
Vol 7 (5) ◽  
pp. 3896-3904
Author(s):  
Daoting Deng ◽  
Hong Zhang ◽  
Junxi Liu ◽  
Lina Ma ◽  
Xinrui Lei ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Cox Regression Analysis ◽  
Healthy Group ◽  
Cancer Group ◽  
Kaplan Meier ◽  
Gastric Cancer Patients ◽  
Gastric Cancer Group

To explore exosomal miR-375 expression in gastric cancer patients and its relationship with patient prognosis. A total of 53 patients diagnosed with gastric cancer in our hospital from May 2014 to May 2016 were included as the gastric cancer group, and 46 healthy women who came to our hospital for physical examination during the same period were enrolled as the healthy group. Exosomal miR-375 expression level was detected using qRT-PCR, and the diagnostic performance and prognostic significance of exosomal miR-375 in gastric cancer were explored. The gastric cancer group showed increased exosomal miR-375 expression than the healthy group (P< 0.05); Kaplan-Meier survival analysis exhibited that serum exosomal miR-375 has an AUC of 0.778, sensitivity of 69.57%, and specificity of 75.47%, whereas Cox regression analysis showed that the miR-375 expression in exosomes was an independent risk factor affecting the prognosis of gastric cancer patients (P< 0.05). Patient with gastric cancer showed upregulated miR-375 expression in serum exosomes. Serum exosomal miR-375 was found to has positive sensitivity and specificity in the diagnosis of gastric cancer, which may be associated with poor prognosis of gastric cancer patients.

eEF2K as a novel metastatic and prognostic biomarker in gastric cancer patients

2021 ◽  
pp. 153568
Author(s):  
Mingxia Jiang ◽  
Ling Qi ◽  
Kexin Jin ◽  
Lisha Li ◽  
Yiming Wu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Prognostic Biomarker ◽  
Gastric Cancer Patients

scholarly journals ILDR1 Is a Prognostic Biomarker and Associated With Immune Infiltration in Gastric Cancer

2021 ◽  
Author(s):  
Yanling Ma ◽  
WenBo Qi ◽  
BaoHong Gu ◽  
XueMei Li ◽  
ZhenYu Yin ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
T Cells ◽  
Dendritic Cells ◽  
Cancer Patients ◽  
Cd8 T Cells ◽  
Immune Cells ◽  
Copy Number ◽  
Sequencing Data ◽  
Number Variation ◽  
Gastric Cancer Patients

Abstract Objective: To investigate the association between ILDR1 and prognosis and immune infiltration in gastric cancer. Methods: We analyzed the RNA sequencing data of 9736 tumor tissues and 8587 normal tissues in the TCGA and GTEx databases through the GEPIA2 platform. The expression of ILDR1 in gastric cancer and normal gastric mucosa tissues with GEPIA and TIMER. Clinical subgroup analysis was made through Kaplan-Meier analysis. Analyzed the correlation between ILDR1 and VEGFA expression in gastric cancer, through the gene sequencing data of gastric cancer in TCGA. Explored the relationship between ILDR1 methylation and the prognosis of gastric cancer patients through the MethSurv database. The correlation between ILDR1 and immune cells and the correlation of copy number variation were explored through the TIMER database. Results: ILDR1-high GC patients had a lower PFS and OS. High ILDR1 expression was significantly correlated with tumor grade. There was a negative correlation between the ILDR1 expression and the abundances of CD8+ T, Macrophages and DC and etc. The methylation level of ILDR1 is associated with a good prognosis of gastric cancer. ILDR1 copy number variation was correlated with immune cells, IDLR1 arm-loss was associated with the infiltration of B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells, and arm-duplication was associated with the infiltration of B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils and dendritic cells. Conclusion: The increased expression of ILDR1 is associated with poor prognosis in patients with gastric cancer. ILDR1 can be used as a novel predictive biomarker to provide a new therapeutic target for gastric cancer patients.

scholarly journals Poor clinical outcomes and immunoevasive contexture in CXCL13+CD8+ T cells enriched gastric cancer patients

2021 ◽  
Vol 10 (1) ◽  
pp. 1915560
Author(s):  
Kaifeng Jin ◽  
Yifan Cao ◽  
Yun Gu ◽  
Hanji Fang ◽  
Yuchao Fei ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
T Cells ◽  
Cancer Patients ◽  
Clinical Outcomes ◽  
Cd8 T Cells ◽  
Gastric Cancer Patients

scholarly journals Characteristics of Subtypes Within Microsatellite Instability-high Gastric Cancer Based on a Gene Signature Related to Immune Microenvironment Components

2020 ◽  
Author(s):  
Xiaolong Wu ◽  
Xiangyu Gao ◽  
Xiaofang Xing ◽  
Xianzi Wen ◽  
Ziyu Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Microsatellite Instability ◽  
Cancer Patients ◽  
Immune Checkpoint ◽  
Differentially Expressed Gene ◽  
The Cancer Genome Atlas ◽  
Immune Microenvironment ◽  
Clinical Prognosis ◽  
Time Signature ◽  
Gastric Cancer Patients

Abstract Background: Gastric cancer patients with microsatellite instability-high (MSI-H) status have a better clinical prognosis and higher response rate to immune checkpoint inhibitors. However, recent studies have suggested that some molecular pathways in MSI-H tumors could affect tumor immune microenvironment (TIME) components, thereby leading to immunotherapy resistance. We aimed to establish subtypes based on the TIME components of MSI-H gastric cancer and analyze the characteristics of each subtype. Methods: Cohorts from the Cancer Genome Atlas, the Asian Cancer Research Group, and Peking University Cancer Hospital were used for this study. CIBERSORT software was used to analyze the TIME components. A set of genes based on the TIME component characteristics, which we named the MSI-TIME signature, was defined using k-means cluster and differentially expressed gene analysis. Results: By using the MSI-TIME signature in the aforementioned cohorts for cluster analysis, the TIME subtypes within MSI-H gastric cancer (MSI-S1, MSI-S2) were established; the differences between the subgroups were reflected in multiple aspects. The MSI-S1 subtype was characterized by a high density of CD8+ T cells, high expression levels of immune checkpoint molecules including PD-L1, PD-L2, CTLA-4, and a high T-cell inflammation level. Patients with the MSI-S1 subtype could also benefit from adjuvant chemotherapy. In contrast, the WNT/β-catenin pathway was enriched in the MSI-S2 subtype. Conclusion: We found that patients with MSI-H gastric cancer showed very different TIME characteristics and could be divided into two subtypes accordingly. These results might benefit MSI-H gastric cancer patients developing individualized treatment strategies in the future.

scholarly journals Abstract 1066: L1CAM as a pivotal mediator for disease progression and prognostic biomarker in gastric cancer patients

2018 ◽  
Author(s):  
Yoshinaga Okugawa ◽  
Yuji Toiyama ◽  
Yasuhiko Mohri ◽  
Akira Yamamoto ◽  
Tsunehiko Shigemori ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Disease Progression ◽  
Cancer Patients ◽  
Prognostic Biomarker ◽  
Gastric Cancer Patients
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