scholarly journals The relationship among Girdin DNA methylation, its high expression, and immune infiltration in hepatocellular carcinoma: Clues from in silico analysis

2021 ◽  
Vol 41 (3) ◽  
Author(s):  
Cheng Zhang ◽  
Yang Ke ◽  
Xuefen Lei ◽  
Xin Liu ◽  
Hai Li ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Dna Methylation ◽  
Mrna Expression ◽  
Methylation Status ◽  
Cancer Genome ◽  
High Expression ◽  
Gene Body ◽  
Immune Infiltration ◽  
Normal Tissues ◽  
The Relationship

Abstract Objective: The aim of the present study was to explore the relationship among Girdin DNA methylation, its high expression, and immune infiltration in human hepatocellular carcinoma (HCC). Materials and methods: The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and International Cancer Genome Consortium (ICGC) databases were used to compare Girdin mRNA expression between HCC tissues and normal tissues, and determine the relationship between Girdin expression and HCC prognosis. TCGA database was also used to analyze the expression of Girdin and its methylation status, as well as the relationship between Girdin DNA methylation and HCC prognosis. The Tumor IMmune Estimation Resource (TIMER) database was used to explore the correlation between Girdin expression and HCC immune infiltration. Results: Girdin expression was elevated in HCC tissues compared with that in normal tissues. The degree of methylation at cg03188526, a CpG site in the Girdin gene body, was positively correlated with Girdin mRNA expression, while high Girdin expression and cg03188526 hypermethylation were both correlated with poor HCC prognosis. Additionally, HCC tissue with high Girdin expression exhibited abundant immune infiltration, and the high Girdin expression was associated with a worse prognosis in macrophage-enriched HCC specimens. Conclusion: Our findings indicated that Girdin likely functions as an oncogene in HCC and that hypermethylation at cg03188526 in the Girdin gene body may explain the high Girdin expression levels in HCC tissue. Furthermore, we report for the first time that the adverse effects of high Girdin expression in HCC patients may be partially mediated by tumor macrophage infiltration.

scholarly journals Overexpression of chaperonin containing TCP1 subunit 7 has diagnostic and prognostic value for hepatocellular carcinoma.

2021 ◽  
Author(s):  
Huaxiang Wang ◽  
Fengfeng Feng Xu ◽  
Lizhi Lv ◽  
Ruling Wang ◽  
Bin Jiang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Dna Methylation ◽  
Mrna Expression ◽  
Prognostic Value ◽  
Methylation Status ◽  
Alpha Fetoprotein ◽  
Gene Set Enrichment Analysis ◽  
Cox Regression Analysis ◽  
Tumor Stages ◽  
Diagnostic And Prognostic Value

Abstract Background Chaperonin containing TCP1 subunit 7 (CCT7), a member of the chaperonin containing TCP1 complex (CCT), has been reported regulating the expression of many tumor-related proteins. In this study, we investigated the diagnostic and prognostic value of CCT7 expression for hepatocellular carcinoma (HCC). Methods We investigated the CCT7 expression in HCC in The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and our cohort. The diagnostic and prognostic value were verified by receiver operating characteristic curve (ROC) analysis and Kaplan-Meier analysis, respectively. The association between CCT7 expression with DNA methylation status was investigated in the TCGA database. Gene ontology (GO), The Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA) analysis were employed to identify the potential pathway in which CCT7 is involved in tumorigenesis and progression. Results CCT7 expression in HCC was significantly higher than adjacent normal tissues, and elevated CCT7 expression correlated with tumor stages and tumor grade. Furthermore, the ROC curve showed CCT mRNA expression has a better diagnostic value for HCC with early-stage and low alpha-fetoprotein expression. Positive predictive value (PPV) of CCT7 was higher than alpha-fetoprotein both in the GEO and TCGA database. The Multivariate Cox Regression analysis of clinicopathologic characteristics revealed that both high mRNA and protein expression of CCT7 were independent risk factors for overall survival (OS) and recurrence-free survival (RFS). High DNA methylation of CpG site(cg19515186) was associated with low CCT7 expression and better OS in HCC. The GO, KEGG and GSEA analysis demonstrated that CCT7 mRNA expression was associated with Spliceosome signaling pathway. Conclusions The findings of this study demonstrated that CCT7 has diagnostic and prognostic value for HCC.

Expression and Significance of LncRNA-MINCR and CDK2 mRNA in Primary Hepatocellular Carcinoma

2019 ◽  
Vol 22 (3) ◽  
pp. 201-206
Author(s):  
Jiangshan Lian ◽  
Xiaolin Zhang ◽  
Yingfeng Lu ◽  
Shaorui Hao ◽  
Zhe Zhang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Lymph Node ◽  
Survival Rate ◽  
Lymph Node Metastasis ◽  
Mrna Expression ◽  
Primary Hepatocellular Carcinoma ◽  
High Expression ◽  
Node Metastasis ◽  
The Relationship ◽  
Low Expression

Objective: To investigate the expression of long-chain non-coding RNA MINCR (LncRNAMINCR) and Cyclin-Dependent Kinase 2 (CDK2) mRNA in primary hepatocellular carcinoma, and to analyze the relationship between its expression and clinical pathological parameters and prognosis of hepatocellular carcinoma. Methods: Seventy-five surgically resected primary hepatocellular carcinoma tissues and paracancerous tissues were selected. Real-time PCR was used to detect the expression of LncRNA-MINCR and CDK2 mRNA in hepatocellular carcinoma tissues and adjacent tissues. The relationship of clinicopathological parameters and prognosis between hepatocellular carcinoma and LncRNA-MINCR and CDK2 mRNA were analyzed. Pearson correlation coefficient describes the correlation between LncRNA-MINCR and CDK2 mRNA. Results: The expression of LncRNA-MINCR and CDK2 mRNA in primary hepatocellular carcinoma tissues was higher than that in the adjacent tissues [(5.51±0.62) vs (1.62±0.51), (4.52±0.73) vs (1.85±0.95), P<0.05]. The expression of LncRNA-MINCR in the primary hepatocellular carcinoma group was positively correlated with CDK2 mRNA (r=0.352, P<0.05), and the expression of LncRNA-MINCR in the paracancerous tissue group was not correlated with CDK2 mRNA (r=0.024, P>0.05). LncRNA-MINCR expression was associated with TNM staging, lymph node metastasis, and cirrhosis (P<0.05). CDK2 mRNA expression was associated with tumor diameter, TNM stage, lymph node metastasis, and serum alpha-fetoprotein levels (P<0.05). The 3-year survival rate of patients with high expression of LncRNAMINCR was lower than that of LncRNA-MINCR low expression group [53.49% vs 77.38%, 2=13.024, P<0.05). The 3-year survival rate of patients with high CDK2 mRNA expression was lower than that of CDK2 mRNA low expression group [51.29] % vs 80.38%, 2 = 10.15, P < 0.05]. Conclusion: The expression of LncRNA-MINCR and CDK2 mRNA in primary hepatocellular carcinoma tissues increased significantly. The two play a synergistic role in the invasion, invasion and metastasis of hepatocarcinoma cells. High expression of LncRNA-MINCR and CDK2 mRNA indicates poor prognosis in patients with hepatocellular carcinoma.

scholarly journals Analysis of the Prognostic Value and Gene Expression Mechanism of SHOX2 in Lung Adenocarcinoma

2021 ◽  
Vol 8 ◽  
Author(s):  
Nanhong Li ◽  
Yu Zeng ◽  
Min Tai ◽  
Biyun Lin ◽  
Di Zhu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Lung Adenocarcinoma ◽  
Mrna Expression ◽  
Poor Prognosis ◽  
High Expression ◽  
Smoking History ◽  
Gene Body ◽  
Normal Tissues ◽  
Poor Differentiation

Background: Detection of SHOX2 methylation has been used to assist in the early diagnosis of lung cancer in many hospitals as SHOX2 may be important in the tumorigenesis of lung cancer. However, there are few studies on the mRNA expression, methylation, and molecular mechanism of SHOX2 in lung cancer. We aimed to explore the role of SHOX2 in lung adenocarcinoma (LUAD).Methods: First, we examined the differential expression of SHOX2 mRNA and methylation in cancerous and normal tissues using databases. Second, we analyzed the relationship between SHOX2 expression and common clinical parameters in LUAD patients. Third, we further explored the methylated level and its specific location of SHOX2 and the mainly factors of SHOX2 gene expression. Finally, we screened the correlatively expressed genes to analyze the pathways from the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes using DAVID.Results: We found that the mRNA expression of SHOX2 was higher in multiple cancers, including LUAD and lung squamous cell carcinoma (LUSC), than in normal tissues. Among LUAD patients, SHOX2 expression was higher in patients of middle–young age, with smoking history, in advanced stages, and with nodal distant metastasis. In addition, our results showed that patients with high expression of SHOX2 are prone to recurrence, poor differentiation, and poor prognosis. Thus, we identified that SHOX2 might be an oncogene for LUAD progression. The main factor influencing the high expression of SHOX2 mRNA may be DNA methylation, followed by copy number variation (CNV), but not by gene mutations in LUAD. Unexpectedly, we found that SHOX2 undergoes hypomethylation in the gene body instead of hypermethylation in the promoter. Additionally, SHOX2 has cross talk in the PI3K–Akt signaling pathway and ECM–receptor interaction.Conclusion:SHOX2 is highly expressed in most cancers. SHOX2 gene expression might be mainly regulated by methylation of its gene body in LUAD, and its high expression or hypomethylation indicates poor differentiation and poor prognosis. SHOX2 could be involved in PI3K–Akt and other important cancer-related signaling pathways to promote tumorigenesis.

scholarly journals Correlation of Hepatocellular Carcinoma Stemness Indices and Clinical Characteristics and Prognosis

2020 ◽  
Author(s):  
Juan Li ◽  
Chunting Zhang ◽  
Xin Yuan ◽  
Zujiang Yu
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Dna Methylation ◽  
Clinical Characteristics ◽  
Cancer Genome ◽  
Hub Genes ◽  
Cox Regression Analysis ◽  
Mrna Gene ◽  
The Relationship ◽  
Mrna Gene Expression

Abstract Background Recent studies have shown that cancer stem cell (CSC) is related to the occurrence and development of hepatocellular carcinoma(HCC), but the mechanism has not yet been elucidated. Therefore, it is necessary to explore the relationship between HCC stem cells and the survival time of HCC patients and its mechanism to guide the treatment. Methods We downloaded the RNA-Seq data and clinical information from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC). The mRNA gene expression-based stemness index (mRNAsi) and DNA methylation-based stemness index (mDNAsi) were calculated through one-class logistic regression (OCLR). By applying the univariable Cox regression analysis, we found that mRNAsi and mRNAsi were significantly correlated with overall survival (OS). Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analysis were used to seek for different genes, and searched for hub genes through protein-protein interaction (PPI) analysis. The spearman’s rank correlation coefficient test was applied to analyze the relationship between these hub genes and the stemness indices. Results The mRNA gene expression-based stemness index (mRNAsi) and DNA methylation-based stemness index (mDNAsi) levels of HCC samples from TCGA and ICGC were significantly negatively related to clinical characteristics and OS. Analysis of differentially expressed genes and PPI revealed that SNAP25, KPT19, GABBR1 and EPCAM were significantly negative correlation with mDNAsi. Conclusion Our new model based on stemness indices-related genes was available for predicting prognosis. The SNAP25, KPT19, GABBR1 and EPCAM were potentially therapeutic targets for HCC patients.

scholarly journals Expression and clinical significance of CMTM1 in hepatocellular carcinoma

Open Medicine ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. 217-223
Author(s):  
Xin Song ◽  
Shidong Zhang ◽  
Run Tian ◽  
Chuanjun Zheng ◽  
Yuge Xu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Transmembrane Domain ◽  
Disease Free Survival ◽  
Clinicopathological Characteristics ◽  
The Cancer Genome Atlas ◽  
High Expression ◽  
Chi Square ◽  
Tumor Tissues ◽  
The Relationship ◽  
Low Expression

Abstract Background CKLF Like Marvel Transmembrane Domain Containing 1 (CMTM1) plays a role in breast cancer and lung cancer, but studies on the occurrence and development of CMTM1 in hepatocellular carcinoma (HCC) have not been reported. Methods The Cancer Genome Atlas (TCGA) database and immunohistochemistry (IHC) were used to detect CMTM1 expression in HCC tissues. The relationship between CMTM1 expression and the clinicopathological characteristics of HCC patients was analyzed by chi-square test, and the relationship between CMTM1 expression and the prognosis of HCC patients was tested by the Kaplan–Meier model. Results Bioinformatics analysis showed that the mRNA expression of CMTM1 was upregulated in HCC tissues, and low expression of CMTM1 is associated with longer disease-free survival in patients with HCC. Similarly, the survival time of HCC patients in CMTM1 high expression group was significantly shorter than that in CMTM1 low expression group. IHC detection indicated that CMTM1 protein was highly expressed in both HCC and adjacent non-tumor tissues, with a positive expression in 84% (63/75) of HCC tissues and 89.3% (67/75) of adjacent non-tumor tissues. Moreover, CMTM1 expression was related to family history and TNM stage of HCC patients (P < 0.05), but had no relationship with other clinicopathological characteristics. The survival analysis based on IHC results showed that the prognosis of HCC patients in CMTM1 negative group was significantly poorer than that in CMTM1 positive group (P < 0.05). Conclusion CMTM1 has a high expression in HCC tissues and is related to the prognosis of HCC patients.

Hepatic IGF1 DNA methylation is influenced by gender but not by intrauterine growth restriction in the young lamb

2015 ◽  
Vol 6 (6) ◽  
pp. 558-572 ◽  
Author(s):  
D. J. Carr ◽  
J. S. Milne ◽  
R. P. Aitken ◽  
C. L. Adam ◽  
J. M. Wallace
Keyword(s):  
Dna Methylation ◽  
Growth Hormone ◽  
Sexual Dimorphism ◽  
Mrna Expression ◽  
Intrauterine Growth Restriction ◽  
Messenger Rna ◽  
Methylation Status ◽  
Growth Restriction ◽  
Intrauterine Growth ◽  
Increased Risk

Intrauterine growth restriction (IUGR) and postnatal catch-up growth confer an increased risk of adult-onset disease. Overnourishment of adolescent ewes generates IUGR in ∼50% of lambs, which subsequently exhibit increased fractional growth rates. We investigated putative epigenetic changes underlying this early postnatal phenotype by quantifying gene-specific methylation at cytosine:guanine (CpG) dinucleotides. Hepatic DNA/RNA was extracted from IUGR [eight male (M)/nine female (F)] and normal birth weight (12 M/9 F) lambs. Polymerase chain reaction was performed using primers targeting CpG islands in 10 genes: insulin, growth hormone, insulin-like growth factor (IGF)1, IGF2, H19, insulin receptor, growth hormone receptor, IGF receptors 1 and 2, and the glucocorticoid receptor. Using pyrosequencing, methylation status was determined by quantifying cytosine:thymine ratios at 57 CpG sites. Messenger RNA (mRNA) expression of IGF system genes and plasma IGF1/insulin were determined. DNA methylation was independent of IUGR status but sexual dimorphism in IGF1 methylation was evident (M<F, P=0.008). IGF1 mRNA:18S and plasma IGF1 were M>F (both P<0.001). IGF1 mRNA expression correlated negatively with IGF1 methylation (r=−0.507, P=0.002) and positively with plasma IGF1 (r=0.884, P<0.001). Carcass and empty body weights were greater in males (P=0.002–0.014) and this gender difference in early body conformation was mirrored by sexual dimorphism in hepatic IGF1 DNA methylation, mRNA expression and plasma IGF1 concentrations.

scholarly journals Machine Learning for Building Immune Genetic Model in Hepatocellular Carcinoma Patients

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jun Liu ◽  
Zheng Chen ◽  
Wenli Li
Keyword(s):  
Hepatocellular Carcinoma ◽  
Risk Score ◽  
Risk Model ◽  
Cox Model ◽  
Cancer Genome ◽  
Algorithm Analysis ◽  
Immune Genes ◽  
Normal Tissues ◽  
Model Based ◽  
Tumor Stages

Background. Hepatocellular carcinoma (HCC) is the leading liver cancer with special immune microenvironment, which played vital roles in tumor relapse and poor drug responses. In this study, we aimed to explore the prognostic immune signatures in HCC and tried to construct an immune-risk model for patient evaluation. Methods. RNA sequencing profiles of HCC patients were collected from the cancer genome Atlas (TCGA), international cancer genome consortium (ICGC), and gene expression omnibus (GEO) databases (GSE14520). Differentially expressed immune genes, derived from ImmPort database and MSigDB signaling pathway lists, between tumor and normal tissues were analyzed with Limma package in R environment. Univariate Cox regression was performed to find survival-related immune genes in TCGA dataset, and in further random forest algorithm analysis, significantly changed immune genes were used to generate a multivariate Cox model to calculate the corresponding immune-risk score. The model was examined in the other two datasets with recipient operation curve (ROC) and survival analysis. Risk effects of immune-risk score and clinical characteristics of patients were individually evaluated, and significant factors were then used to generate a nomogram. Results. There were 52 downregulated and 259 upregulated immune genes between tumor and relatively normal tissues, and the final immune-risk model (based on SPP1, BRD8, NDRG1, KITLG, HSPA4, TRAF3, ITGAV and MAP4K2) can better differentiate patients into high and low immune-risk subpopulations, in which high score patients showed worse outcomes after resection ( p < 0.05 ). The differentially enriched pathways between the two groups were mainly about cell proliferation and cytokine production, and calculated immune-risk score was also highly correlated with immune infiltration levels. The nomogram, constructed with immune-risk score and tumor stages, showed high accuracy and clinical benefits in prediction of 1-, 3- and 5-year overall survival, which is useful in clinical practice. Conclusion. The immune-risk model, based on expression of SPP1, BRD8, NDRG1, KITLG, HSPA4, TRAF3, ITGAV, and MAP4K2, can better differentiate patients into high and low immune-risk groups. Combined nomogram, using immune-risk score and tumor stages, could make accurate prediction of 1-, 3- and 5-year survival in HCC patients.

scholarly journals High Expression of PRMT6 Associated With Prognosis and Immune Infiltration in Glioma

2020 ◽  
Author(s):  
Yi Yang ◽  
Zhenshuang Wang ◽  
Shengrong Long ◽  
Jinhai Huang ◽  
Chengran Xu ◽  
...  
Keyword(s):  
Enrichment Analysis ◽  
Clinical Work ◽  
High Expression ◽  
Clinical Indicators ◽  
Immune Infiltration ◽  
Tumor Tissues ◽  
Potential Biomarker ◽  
Patient Prognosis ◽  
The Relationship

Abstract Background: Gliomas are characterised by easy invasion of surrounding tissues, high mortality and poor prognosis. Moreover, with the increase of grade, the prognosis of glioma is increasingly poor and not optimistic. Therefore, biological markers for glioma are needed in clinical work, which can be utilized to detect and evaluate the situation and prognosis of glioma patients. Many studies have found that the protein arginine methyltransferase 6 (PRMT6) expression is elevated in various tumors and is associated with patient prognosis. However, the role of PRMT6 in glioma has not been reported or analyzed. Methods: In this study, we used a variety of tumor related databases to analyze the mechanism of PRMT6 in tumors, especially gliomas, from the perspective of bioinformatics, and carried out relevant experimental verification with tumor tissues extracted from patients during surgery. In addition, we analyzed the relationship between PRMT6 expression and immune infiltration and immune-related cells, and discussed the possible mechanisms. We also discussed the role of PRMT6 expression in glioma from the perspectives of mutation, clinical indicators, enrichment analysis, and immunohistochemical results. Results: PRMT6 is significantly differentially expressed in a variety of tumors and is associated with survival and prognosis. Especially in gliomas, the expression of PRMT6 gradually increased with the increase of grade. In addition, PRMT6 can be used as an independent prognostic risk factor in the nomogram and has been verified in a variety of databases. Conclusions: Our results indicate that high expression of PRMT6 is a potential biomarker for predicting glioma prognosis and progression.

scholarly journals Eight-Gene Metabolic Signature Related with Tumor-Associated Macrophages Predicting Overall Survival for Hepatocellular Carcinoma

2020 ◽  
Author(s):  
Junyu Huo ◽  
Yunjin Zang ◽  
Hongjing Dong ◽  
Xiaoqiang Liu ◽  
Fu He ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Survival Analysis ◽  
Risk Score ◽  
Risk Group ◽  
Cancer Genome ◽  
Metabolic Reprogramming ◽  
Tumor Associated Macrophages ◽  
Kaplan Meier ◽  
The Relationship

Abstract Background: In recent years, the relationship between tumor associated macrophages (TAMs) and solid tumors has become a research hotspot. The study aims at exploring the close relationship of TAMs with metabolic reprogramming genes in hepatocellular carcinoma(HCC), in order to provide a new way of treatment for HCC.Materials and methods: The study selected 343 HCC patients with complete survival information(survival time >= 1month) in the Cancer Genome Atlas (TCGA) as the study objects. Kaplan-Meier survival analysis assisted in figuring out the relationship between macrophage infiltration level and overall survival (OS), and Pearson correlation test to identify metabolic reprogramming genes(MRGs) related to tumor macrophage abundance. Lasso regression algorithm were conducted on prognosis related MRGs screened by Univariate Cox regression analysis and Kaplan-Meier survival analysis to construct the riskscore, another independent cohort (including 228 HCC patients) from the International Cancer Genome Consortium (ICGC) were used for external validation regarding the prognostic signature.Results: A risk score composed of 8 metabolic genes can accurately predict the OS of training cohort(TCGA) and testing cohort(ICGC). It is important that the risk score could widely used for people with different clinical characteristics, and is an independent predictor independent of other clinical factors affecting prognosis. As expected, high-risk group exhibited an obviously higher macrophage abundance relative to low-risk group, and the risk score presented a positive relation to the expression level of three commonly used immune checkpoints(PD1,PDL1,CTLA4).Conclusion: Our study constructed and validated a novel eight‑gene signature for predicting HCC patients’ OS, which possibly contributed to making clinical treatment decisions.

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