scholarly journals Overexpression of GUCY1A2 Correlates With Poor Prognosis in Gastric Cancer Patients

2021 ◽  
Vol 11 ◽  
Author(s):  
Xin Li ◽  
Xiaowei Chen ◽  
Xueju Hu ◽  
Yan Shen ◽  
Rui Xu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Logistic Regression ◽  
Signaling Pathways ◽  
Prognostic Marker ◽  
Poor Prognosis ◽  
Meta Analysis ◽  
High Expression ◽  
Clinicopathological Parameters ◽  
Qrt Pcr ◽  
Kaplan Meier

BackgroundNitric oxide (NO) and cyclic guanosine phosphate (cGMP) play important roles in blood pressure regulation, neurotransmitter delivery, renal function, and tumorigenesis and development. The intermediate link of this signaling pathway, soluble guanylyl cyclase (sGC), is particularly important. However, the role of the GUCY1A2 gene encoding the sGC α2 subunit is unknown.MethodsGene expression and clinical data were obtained from The Cancer Genome Atlas (TCGA) database. After screening for GUCY1A2 expression, the expression differences between gastric cancer (GC) tissues and adjacent noncancerous tissues were determined using R software. Quantitative real-time polymerase chain reaction (qRT-PCR) and meta-analysis were used to verify the result. The correlation between the expression of GUCY1A2 and clinicopathological parameters was explored by logistic regression. Then, Kaplan-Meier survival analysis and the Cox proportional hazards regression were used to evaluate the relationship between the expression of GUCY1A2 and the survival of GC patients. Finally, gene set enrichment analysis (GSEA) was used to explore and analyze the GC-related signaling pathways affected by high GUCY1A2 expression.ResultsWe found that GUCY1A2 was highly expressed in GC tissues compared to adjacent noncancerous tissues (P < 0.001). qRT-PCR (P < 0.001) and meta-analysis (SMD = 0.65, 95% CI: 0.20-1.10) confirmed the difference in GUCY1A2 expression. Logistic regression analysis showed that high expression of GUCY1A2 was associated with histological grade (OR=1.858 for poor vs. well or moderate, P = 0.004) and T stage (OR = 3.389 for T3 vs. T1, P = 0.025; OR = 3.422 for T4 vs. T1, P = 0.028). Kaplan-Meier curves indicated that GC patients with high expression of GUCY1A2 had a poor prognosis than that of patients with low expression. Univariate analysis indicated that GUCY1A2 and some clinicopathological parameters, such as age, pathological stage, and TNM stage, may predict poor prognosis. Multivariate analysis further confirmed that GUCY1A2 was an independent prognostic marker (HR = 1.699; 95%CI, 1.175-2.456; P = 0.005). GSEA showed that the high GUCY1A2 phenotype is significantly enriched for tumor-associated signaling pathways.ConclusionsGUCY1A2 is highly expressed in GC and may be used as a potential prognostic marker.

scholarly journals Expression of LOX Suggests Poor Prognosis in Gastric Cancer

2021 ◽  
Vol 8 ◽  
Author(s):  
Jinfeng Zhu ◽  
Chen Luo ◽  
Jiefeng Zhao ◽  
Xiaojian Zhu ◽  
Kang Lin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gastric Cancer ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Poor Prognosis ◽  
Cox Regression ◽  
Gene Set Enrichment Analysis ◽  
High Expression ◽  
Expression Level ◽  
Cox Regression Analysis

Background: Lysyl oxidase (LOX) is a key enzyme for the cross-linking of collagen and elastin in the extracellular matrix. This study evaluated the prognostic role of LOX in gastric cancer (GC) by analyzing the data of The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) dataset.Methods: The Wilcoxon rank-sum test was used to calculate the expression difference of LOX gene in gastric cancer and normal tissues. Western blot and immunohistochemical staining were used to evaluate the expression level of LOX protein in gastric cancer. Kaplan-Meier analysis was used to calculate the survival difference between the high expression group and the low expression group in gastric cancer. The relationship between statistical clinicopathological characteristics and LOX gene expression was analyzed by Wilcoxon or Kruskal-Wallis test and logistic regression. Univariate and multivariate Cox regression analysis was used to find independent risk factors affecting the prognosis of GC patients. Gene set enrichment analysis (GSEA) was used to screen the possible mechanisms of LOX and GC. The CIBERSORT calculation method was used to evaluate the distribution of tumor-infiltrating immune cell (TIC) abundance.Results: LOX is highly expressed in gastric cancer tissues and is significantly related to poor overall survival. Wilcoxon or Kruskal-Wallis test and Logistic regression analysis showed, LOX overexpression is significantly correlated with T-stage progression in gastric cancer. Multivariate Cox regression analysis on TCGA and GEO data found that LOX (all p < 0.05) is an independent factor for poor GC prognosis. GSEA showed that high LOX expression is related to ECM receptor interaction, cancer, Hedgehog, TGF-beta, JAK-STAT, MAPK, Wnt, and mTOR signaling pathways. The expression level of LOX affects the immune activity of the tumor microenvironment in gastric cancer.Conclusion: High expression of LOX is a potential molecular indicator for poor prognosis of gastric cancer.

Prognostic value of biglycan in gastric cancer

2020 ◽  
Author(s):  
Sizhe Hu ◽  
Peipei Li ◽  
Chenying Wang ◽  
Xiyong Liu
Keyword(s):  
Gastric Cancer ◽  
Transcription Factors ◽  
Poor Prognosis ◽  
Prognostic Significance ◽  
Bioinformatic Analysis ◽  
Gene Set Enrichment Analysis ◽  
High Expression ◽  
Mrna Levels ◽  
Gene Signatures ◽  
Kaplan Meier

Abstract Background: BGN (biglycan) is a family member of small leucine-rich repeat proteoglycans. High expression of BGN might enhance the invasion and metastasis in some types of tumors. Here, the prognostic significance of BGN was evaluated in gastric cancer.Material and Methods: Two independent Gene Expression Omnibus (GEO) gastric cancer microarray datasets( n= 64, n=432) were collected for this study. Kaplan-Meier analysis was applied to evaluate if BGN impacts the outcomes of gastric cancer. The gene set enrichment analysis (GSEA) was used to explore BGN and cancer-related gene signatures. Bioinformatic analysis predicted the putative transcription factors of BGN.Results: For gastric cancer, the mRNA expression level of BGN in tumor tissues was significantly higher than that in normal tissues. Kaplan-Meier analysis showed that higher expression of BGN mRNA was significantly associated with more reduced recurrence-free survival (RFS). GSEA results suggested that BGN significantly enriched metastasis and poor prognosis gene signatures, revealing that BGN might be associated with cell proliferation, poor differentiation, high invasiveness of gastric cancer. Meanwhile, the putative transcription factors, including AR, E2F1, and TCF4, weres predicted by bioinformatic analysis and also significantly correlated with expression of BGN in mRNA levels. Conclusion: High expression of BGN mRNA was significantly related to poor prognosis, which suggested BGN was a potential prognostic biomarker and therapeutic target of gastric cancer.

scholarly journals High Expression of C-reactive Protein Increases the Risk of Poor Prognosis in Patients with Gastric Cancer: A Meta-analysis

2019 ◽  
Vol 7 (3) ◽  
pp. 117
Author(s):  
Fulun Li ◽  
Ke Liu ◽  
Qianlong Zhao ◽  
Junyi Chen ◽  
Lingfei Liu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Poor Prognosis ◽  
Meta Analysis ◽  
High Expression ◽  
C Reactive Protein ◽  
Reactive Protein

scholarly journals The overexpression of FKBP4 in patients with lung adenocarcinoma predicts poor prognosis and tumor progression

2021 ◽  
Author(s):  
Sha Tian ◽  
Shang qing Wang ◽  
Piao Zheng ◽  
Xu Zhu ◽  
Huan Han ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Signaling Pathways ◽  
Cancer Progression ◽  
Poor Prognosis ◽  
Cox Regression ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Clinicopathological Parameters ◽  
Poor Overall Survival ◽  
Kaplan Meier

Abstract Background: The FK506-binding protein 4 ( FKBP4 ), a tumor-related gene, plays a vital role in tumorigenesis and cancer progression. The study is aimed to clarify the effect of FKBP4 in lung adenocarcinoma (LUAD). Methods: Relying on The Cancer Genome Atlas (TCGA) cohort, the FKBP4 expression difference between LUAD tissues and non-tumor tissues was first detected, and verified with public tissue microarrays (TMAs), clinical LUAD specimen cohort and Gene Expression Omnibus (GEO) cohort. Then, logistic regression analysis and chi-square test were applied to detect the correlation between FKBP4 expression and clinicopathological parameters. Kaplan-Meier survival analysis and Cox regression model were utilized to evaluate the effect of FKBP4 expression on survival. Signaling pathways related to LUAD were obtained via employing Gene Set Enrichment Analysis (GSEA). Results: The FKBP4 expression level in LUAD samples was dramatically higher than that in non-tumor samples. High FKBP4 expression in LUAD is associated with gender, pathological stage, T classification, lymph node metastasis and distant metastasis. The Kaplan-Meier curve indicated a poor prognosis for LUAD patients with high FKBP4 expression. Multivariate analysis suggested that the high FKBP4 expression was a vital independent predictor of poor overall survival (OS). GSEA showed that a total of 15 signaling pathways were enriched in samples with high FKBP4 expression phenotype. Conclusions: FKBP4 may be an oncogene in LUAD, and is promised to become a prognostic indicator and therapeutic target for LUAD.

scholarly journals OLFML2B Is a Robust Prognostic Biomarker in Bladder Cancer Through Genome-Wide Screening: A Study Based on Seven Cohorts

2021 ◽  
Vol 11 ◽  
Author(s):  
Jiaxing Lin ◽  
Xiao Xu ◽  
Tianren Li ◽  
Jihang Yao ◽  
Meng Yu ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Prognostic Marker ◽  
Poor Prognosis ◽  
Immune Cell ◽  
High Expression ◽  
Tumor Associated Macrophage ◽  
Kaplan Meier ◽  
Genome Wide ◽  
Patients At Risk ◽  
High Level

BackgroundBladder cancer lacks useful and robust prognostic markers to stratify patients at risk. Our study is to identify a robust prognostic marker for bladder cancer.MethodsThe transcriptome and clinical data of bladder cancer were downloaded from multiple databases. We searched for genes with robust prognosis by Kaplan-Meier analysis of the whole genome. CIBERSORT and TIMER algorithm was used to calculate the degree of immune cell infiltration.ResultsWe identified OLFML2B as a robust prognostic marker for bladder cancer in five cohorts. Kaplan-Meier analysis showed that patients with a high level of OLFML2B expression had a poor prognosis. The expression of OLFML2B increased with the increase of stage and grade. We found that patients with high expression of OLFML2B still had a poor prognosis in two small bladder cancer cohorts. OLFML2B also has the prognostic ability in ten other tumors, and the prognosis is poor in high expression. The correlation analysis between OLFML2B and immune cells showed that it was positively correlated with the degree of macrophage infiltration and highly co-expressed with tumor-associated macrophage markers. Finally, the Wound-healing assay and Colony formation assay results showed that the migration and proliferation ability of bladder cancer cell lines decreased after the knockdown of OLFML2B.ConclusionsIn summary, OLFML2B is a robust risk prognostic marker, and it can help patients with bladder cancer improve individualized treatment.

scholarly journals LAMB1 Is Related to the T Stage and Indicates Poor Prognosis in Gastric Cancer

2021 ◽  
Vol 20 ◽  
pp. 153303382110049
Author(s):  
Tao Ran ◽  
ZhiJi Chen ◽  
LiWen Zhao ◽  
Wei Ran ◽  
JinYu Fan ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Poor Prognosis ◽  
Hazard Models ◽  
Proportional Hazard ◽  
Kegg Analysis ◽  
Proportional Hazard Models ◽  
Cox Proportional Hazard ◽  
Kaplan Meier ◽  
Cox Proportional Hazard Models ◽  
Gastric Cancer Patients

Background and Objective: Gastric cancer (GC) is a common tumor malignancy with high incidence and poor prognosis. Laminin is an indispensable component of basement membrane and extracellular matrix, which is responsible for bridging the internal and external environment of cells and transmitting signals. This study mainly explored the association of the LAMB1 expression with clinicopathological characteristics and prognosis in gastric cancer. Methods: The expression data and clinical information of gastric cancer patients were downloaded from The Cancer Genome Atlas (TCGA) and Asian Cancer Research Group (ACRG). And we analyzed the relationship between LAMB1 expression and clinical characteristics through R. CIBERSORTx was used to calculate the absolute score of immune cells in gastric tumor tissues. Then COX proportional hazard models and Kaplan-Meier curves were performed to evaluate the role of LAMB1 and its influence on prognosis in gastric cancer patients. Finally, GO and KEGG analysis were applied for LAMB1-related genes in gastric cancer, and PPI network was constructed in Cytoscape software. Results: In the TCGA cohort, patients with gastric cancer frequently generated LAMB1 gene copy number variation, but had little effect on mRNA expression. Both in the TCGA and ACRG cohorts, the mRNA expression of LAMB1 in gastric cancer tissues was higher than it in normal tissues. All patients were divided into high expression group and low expression group according to the median expression level of LAMB1. The elevated expression group obviously had more advanced cases and higher infiltration levels of M2 macrophages. COX proportional hazard models and Kaplan-Meier curves revealed that patients with enhanced expression of LAMB1 have a worse prognosis. GO/KEGG analysis showed that LAMB1-related genes were enriched in PI3K-Akt signaling pathway, focal adhesion, ECM-receptor interaction, etc. Conclusions: The high expression of LAMB1 in gastric cancer is related to the poor prognosis of patients, and it may be related to microenvironmental changes in tumors.

scholarly journals Clinical and prognostic significances of cancer stem cell markers in gastric cancer patients: a systematic review and meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mahdieh Razmi ◽  
Roya Ghods ◽  
Somayeh Vafaei ◽  
Maryam Sahlolbei ◽  
Leili Saeednejad Zanjani ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Stem Cell ◽  
Cancer Stem Cell ◽  
Clinical Outcomes ◽  
Cancer Progression ◽  
Poor Prognosis ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Stem Cell Markers ◽  
Free Survival

Abstract Background Gastric cancer (GC) is considered one of the most lethal malignancies worldwide, which is accompanied by a poor prognosis. Although reports regarding the importance of cancer stem cell (CSC) markers in gastric cancer progression have rapidly developed over the last few decades, their clinicopathological and prognostic values in gastric cancer still remain inconclusive. Therefore, the current meta-analysis aimed to quantitatively re-evaluate the association of CSC markers expression, overall and individually, with GC patients’ clinical and survival outcomes. Methods Literature databases including PubMed, Scopus, ISI Web of Science, and Embase were searched to identify the eligible articles. Hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs) were recorded or calculated to determine the relationships between CSC markers expression positivity and overall survival (OS), disease-free survival (DFS)/relapse-free survival (RFS), disease-specific survival (DSS)/ cancer-specific survival (CSS), and clinicopathological features. Results We initially retrieved 4,425 articles, of which a total of 66 articles with 89 studies were considered as eligible for this meta-analysis, comprising of 11,274 GC patients. Overall data analyses indicated that the overexpression of CSC markers is associated with TNM stage (OR = 2.19, 95% CI 1.84–2.61, P = 0.013), lymph node metastasis (OR = 1.76, 95% CI 1.54–2.02, P < 0.001), worse OS (HR = 1.65, 95% CI 1.54–1.77, P < 0.001), poor CSS/DSS (HR = 1.69, 95% CI 1.33–2.15, P < 0.001), and unfavorable DFS/RFS (HR = 2.35, 95% CI 1.90–2.89, P < 0.001) in GC patients. However, CSC markers expression was found to be slightly linked to tumor differentiation (OR = 1.25, 95% CI 1.01–1.55, P = 0.035). Sub-analysis demonstrated a significant positive relationship between most of the individual markers, specially Gli-1, Oct-4, CD44, CD44V6, and CD133, and clinical outcomes as well as the reduced survival, whereas overexpression of Lgr-5, Nanog, and sonic hedgehog (Shh) was not found to be related to the majority of clinical outcomes in GC patients. Conclusion The expression of CSC markers is mostly associated with worse outcomes in patients with GC, both overall and individual. The detection of a combined panel of CSC markers might be appropriate as a prognostic stratification marker to predict tumor aggressiveness and poor prognosis in patients with GC, which probably results in identifying novel potential targets for therapeutic approaches.

scholarly journals Centromere Protein I (CENP-I) Is Upregulated in Gastric Cancer, Predicts Poor Prognosis, and Promotes Tumor Cell Proliferation and Migration

2021 ◽  
Vol 20 ◽  
pp. 153303382110455
Author(s):  
Jiahui Wang ◽  
Xin Liu ◽  
Hong-jin Chu ◽  
Ning Li ◽  
Liu-ye Huang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cell Proliferation ◽  
Poor Prognosis ◽  
Cellular Function ◽  
Mesenchymal Transition ◽  
Qrt Pcr ◽  
Lauren Classification ◽  
Centromere Protein ◽  
Laurén Classification ◽  
And Migration

This study aimed to investigate the expression and cellular function of the centromeric family of proteins (CENPs), especially centromere protein I (CENP-I), in gastric cancer (GC) and identified its clinical significance and cellular functions. CENP-I expression in GC was studied by cDNA microarray, quantitative real-time PCR (qRT-PCR), and immunohistochemistry (IHC), and using datasets from The Cancer Genome Atlas (TCGA), UALCAN, and Gene Expression Omnibus (GEO) databases. Microarray and bioinformatic analyses identified upregulated CENP-A/E/F/H/I/K/P/W and HJURP in stomach adenocarcinoma (STAD), but not in signet ring cell carcinoma (SRCC). Significantly higher CENP-I mRNA expression was also confirmed in 40 pairs of GC tissues than in paired normal gastric tissues by qRT-PCR ( P<.001). IHC showed that elevated CENP-I expression was associated with higher tumor stage, lymph node invasion, increased HER2-positive rate (36.7% vs 10.0%), and intestinal Lauren classification in 69 GC samples compared to paired paracancerous normal tissues. The survival of the high-CENP-I group members was poor compared with that of the low-CENP-I group ( P = .0011). Cox univariate regression analysis identified tumor size ( P = .008), HER2 status ( P = .027), and CENP-I expression ( P = .049) were independent prognostic factors of GC. The cellular function of CENP-I was studied in MKN45 and MKN28 GC cell lines in vitro. Cell proliferation, migration, and apoptosis were determined using CCK-8, transwell assay, TUNEL assay, and flow cytometry. Our results showed that CENP-I promoted GC cell proliferation, inhibited apoptosis, facilitated cell migration, and induced epithelial–mesenchymal transition (EMT), possibly by activating the AKT pathway. CENP-I expression was correlated with genetic signatures of the proliferative subtype of GC, characterized by intestinal Lauren classification, HER2 amplification, and TP53 mutation. In conclusion, this study revealed an elevated CENP-I expression in GC, which was associated with malignant features and poor prognosis of GC patients, and identified its function in modulating cell proliferation, apoptosis, and migration.

High TRAF3IP3 Level Predicts Poor Prognosis of Patients with Gliomas

2020 ◽  
Author(s):  
Guorong Yang ◽  
Shu Tang ◽  
Jie Zhang ◽  
Ling Qin
Keyword(s):  
Signaling Pathway ◽  
Cox Regression ◽  
The Body ◽  
High Expression ◽  
Clinicopathological Parameters ◽  
Signal Pathways ◽  
Primary Therapy ◽  
Kaplan Meier ◽  
Wilcoxon Rank Sum Test ◽  
The Relationship

Abstract Purpose: TRAF3IP3 is involved in the maturation of immune cells, the development of immune tissues and the immune response of the body. TRAF3IP3 is shown to expressed in a variety of malignant tumor cell lines. Down-regulated expression of TRAF3IP3 in malignant melanoma can inhibit tumor growth. However, the role of TRAF3IP3 in glioma is still unknown. In this study, we aimed to study the relationship between TRAF3IP3 and glioma based on TCGA data.Method: We used the Wilcoxon rank sum test to compare the expression of TRAF3IP3 in glioma and normal tissues. Subsequently, Kruskal-Wallis test, Wilcoxon rank sum test, and logistics regression were used to evaluate the relationship between TRAF3IP3 and clinicopathological parameters of glioma patients. GSEA was used to verify the key signal pathways involved in TRAF3IP3. We used the ssGSEA method to analyze the relationship between the expression level of TRAF3IP3 and the immune infiltration in the glioma tumor microenvironment. Finally, we used Kaplan-Meier and COX regression to evaluate the prognostic value of TRAF3IP3.Results: TRAF3IP3 transcription level was highly expressed in gliomas(P<0.001). And the high expression of TRAF3IP3 and WHO grade(OR=3.57(2.42-5.34), P<0.001), IDH status (OR=4.79(3.40-6.83), P<0.001), 1P /19q codeletion (OR=0.07(0.04-0.11), P<0.001), EGFR status (OR=2.77(1.65-4.81), P<0.001), histological type (OR=3.64(2.48-5.43), P<0.001), age (OR=1.64(1.13-2.41), P=0.01), and primary therapy outcome (OR=2.29(1.47-3.61), P<0.001) were significantly correlated. GSEA showed that six signaling pathways were significantly enriched in the TRAF3IP3 high expression phenotype group, including JAK STAT signaling pathway, interferon-γ signaling pathway, apoptosis, P53 signaling pathway, PD-1 signaling pathway, and CTLA4 signaling pathway. ssGSEA showed that the expression of TRAF3IP3 was significantly positively correlated with the infiltration of Macrophages, Th17 cells, etc. Multivariate COX regression showed that TRAF3IP3 was an independent prognostic factor for glioma OS (HR=2.169(1.301-3.615), P=0.003). Kaplan-Meier analysis showed that high expression of TRAF3IP3 was associated with worse PFS(HR=2.39(1.39-3.01), P<0.001), DFS(HR=3.02(2.27-4.01), P<0.001) and OS(HR=2.87(2.20-3.75), P<0.001).Conclusion: TRAF3IP3 may play an important role in the occurrence and development of glioma, and may be a potential biomarker for the diagnosis and prognosis of glioma.

Sign in / Sign up

Export Citation Format

Share Document