scholarly journals Prognostic Significance of NBEAL2 in Liver hepatocellular carcinoma

Author(s):  
Yanghui Wen ◽  
Hui Su ◽  
Wuke Wang ◽  
Feng Ren ◽  
Haitao Jiang ◽  
...  

Abstract Background: NBEAL2 is a member of the BEACH domain–containing protein (BDCP) family and little is known about the relationship between NBEAL2 and malignancy.Methods: We downloaded the Gene expression profiles and clinical data of Liver hepatocellular carcinoma(LIHC) form the Cancer Genome Atlas (TCGA) dataset. The expression difference of NBEAL2 in LIHC tissues and adjacent nontumor tissues was analyzed by R software. The relationship between NBEAL2 expression and clinicopathological parameters was evaluate by Chi-square test. The effect of NBEAL2 expression on survival were assessed by Kaplan–Meier survival analysis and Cox proportional hazards regression model. GSEA was used to explore the potential molecular mechanism of NBEAL2 in LIHC.Results: Up-regulation of NBEAL2 expression was detected in the LIHC tissue compared with adjacent nontumor tissues(P < 0.001). The chi-square test showed that no significant correlation between the expression level of NBEAL2 and various clinicopathological parameters (including T, N and M classifications) were detected. The Kaplan–Meier curves suggested that lower NBEAL2 expression was related with poor prognosis. The results of Multivariate analysis revealed that a lower expression of NBEAL2 in LIHC was an independent risk of poor overall survival (HR, 8.873; 95% CI, 1.159-67.936; P = 0.035). GSEA suggested that multiple tumor-related metabolic pathways were evidently enriched in samples with the low-NBEAL2 expression phenotype. Conlusion: NBEAL2 might act as an tumor suppressor gene in the progression of LIHC but the precise role of NBELA2 in LIHC needs further vertification.

2021 ◽  
Vol 20 ◽  
pp. 153303382110330
Author(s):  
Junjie Jiang ◽  
Hui-Ju Wang ◽  
Xiao-Zhou Mou ◽  
Huanqing Zhang ◽  
YiZhen Chen ◽  
...  

Aims: Lysine acetyltransferase 6B (KAT6B), is a histone acetyltransferase implicated to have a role in tumor suppression. However, the relationship between KAT6B and hepatocellular carcinoma (HCC) is unclear. The purpose of this study was to detect the expression of KAT6B in HCC tissues and analyze its connection with the clinicopathological features of HCC. Methods: First, we performed immunohistochemical staining on 250 HCC tissues and 222 non-tumor liver tissues to examine the expression of KAT6B.Then the relation between KAT6B expression and clinicopathological parameters was analyzed by chi-square test, and the overall survival analysis was conducted by Kaplan-Meier survival method. In addition, based on the Oncomine expression array online and the UALCAN database, we compared KAT6B expression differences between normal liver tissues and HCC tissues more broadly. Results: Compared with normal tissues, KAT6B expression was significantly lower in HCC tissues. Low KAT6B expression was found to be related to gender, AFP level, and tumor size. According to the online database, KAT6B expression was found to be decreased in HCC tissues and high in normal tissues. Conclusions: Lower expression of KAT6B is associated with poor prognosis of HCC, and KAT6B may be a potential tumor suppressor in liver cancer.


2020 ◽  
Vol 14 (8) ◽  
pp. 651-663
Author(s):  
Xueli Li ◽  
Wange Fan ◽  
Anhui Yao ◽  
Huiling Song ◽  
Yunxiao Ge ◽  
...  

Aim: In the present study, we studied the relationship between RELN and prognosis in glioma. Materials & methods: Expression profiles and methylation data of RELN were obtained from bioinformatic datasets. Correlations between RELN and clinicopathological features and overall survival were respectively assessed using chi-square test and Kaplan–Meier analysis. Results: RELN was downregulated in glioma, and its downregulation correlated well with glioma malignancy and overall survival. Meanwhile, hypermethylation of RELN was significantly correlated with low RELN expression. Additionally, gene set enrichment analysis demonstrated that low expression of RELN correlated with many key cancer pathways, possibly highlighting the importance of RELN in carcinogenesis of brain. Conclusion: RELN may serve as a potential prognostic marker and promising target molecule for new therapy of glioma.


2020 ◽  
Author(s):  
Zhong Dai ◽  
Ke-Qing Yao ◽  
Xing-Sheng Hu ◽  
Yi-Qun Li ◽  
Yu-Tao Liu ◽  
...  

Abstract Background: Rab25 was indicated to be involved in several human tumors. However, the clinical significance of Rab25 in hepatocellular carcinoma (HCC) was still unclear. The purpose of this study was to investigate the expression and prognostic value of Rab25 in HCC.Methods: The relative mRNA expression levels of Rab25 in HCC tissues and adjacent normal tissues were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Chi-square test was used to analyze the relationship between Rab25 expression and clinical characteristics of patients. The prognostic value of Rab25 in HCC was estimated through Kaplan-Meier method and cox regression analysis.Results: Rab25 gene expression level was significantly higher in HCC tissues than that in normal tissues (P<0.001). Importantly, the increased Rab25 expression was closely associated with TNM stage (P=0.024), metastasis (P=0.022) and invasion classification (P=0.039). Moreover, patients with high Rab25 expression tended to have obviously shorter overall survival than those with low expression of Rab25 (log rank test, P<0.001) via Kaplan-Meier analysis. Univariate and multivariate cox regression analyses revealed that Rab25 was an independent prognostic factor of HCC.Conclusions: Rab25 is up-regulated in HCC and contributes to the progression of this tumor. What’s more, Rab25 may be a potential bio-marker for the prognosis of HCC.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ji Li ◽  
Chen Zhu ◽  
Peipei Yue ◽  
Tianyu Zheng ◽  
Yan Li ◽  
...  

Abstract Background Abnormal energy metabolism is one of the characteristics of tumor cells, and it is also a research hotspot in recent years. Due to the complexity of digestive system structure, the frequency of tumor is relatively high. We aim to clarify the prognostic significance of energy metabolism in digestive system tumors and the underlying mechanisms. Methods Gene set variance analysis (GSVA) R package was used to establish the metabolic score, and the score was used to represent the metabolic level. The relationship between the metabolism and prognosis of digestive system tumors was explored using the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Volcano plots and gene ontology (GO) analyze were used to show different genes and different functions enriched between different glycolysis levels, and GSEA was used to analyze the pathway enrichment. Nomogram was constructed by R package based on gene characteristics and clinical parameters. qPCR and Western Blot were applied to analyze gene expression. All statistical analyses were conducted using SPSS, GraphPad Prism 7, and R software. All validated experiments were performed three times independently. Results High glycolysis metabolism score was significantly associated with poor prognosis in pancreatic adenocarcinoma (PAAD) and liver hepatocellular carcinoma (LIHC). The STAT3 (signal transducer and activator of transcription 3) and YAP1 (Yes1-associated transcriptional regulator) pathways were the most critical signaling pathways in glycolysis modulation in PAAD and LIHC, respectively. Interestingly, elevated glycolysis levels could also enhance STAT3 and YAP1 activity in PAAD and LIHC cells, respectively, forming a positive feedback loop. Conclusions Our results may provide new insights into the indispensable role of glycolysis metabolism in digestive system tumors and guide the direction of future metabolism–signaling target combined therapy.


Open Medicine ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. 217-223
Author(s):  
Xin Song ◽  
Shidong Zhang ◽  
Run Tian ◽  
Chuanjun Zheng ◽  
Yuge Xu ◽  
...  

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.


2021 ◽  
Author(s):  
Jun Du ◽  
Jinguo Wang

Abstract Background: The expression and molecular mechanism of cysteine rich transmembrane module containing 1 (CYSTM1) in human tumor cells remains unclear. The aim of this study was to determine whether CYSTM1 could be used as a potential prognostic biomarker for hepatocellular carcinoma (HCC).Methods: We first demonstrated the relationship between CYSTM1 expression and HCC in various public databases. Secondly, Kaplan–Meier analysis and Cox proportional hazard regression model were performed to evaluate the relationship between the expression of CYSTM1 and the survival of HCC patients which data was downloaded in the cancer genome atlas (TCGA) database. Finally, we used the expression data of CYSTM1 in TCGA database to predict CYSTM1-related signaling pathways through bioinformatics analysis.Results: The expression level of CYSTM1 in HCC tissues was significantly correlated with T stage (p = 0.039). In addition, Kaplan–Meier analysis showed that the expression of CYSTM1 was significantly associated with poor prognosis in patients with early-stage HCC (p = 0.003). Multivariate analysis indicated that CYSTM1 is a potential predictor of poor prognosis in HCC patients (p = 0.036). The results of biosynthesis analysis demonstrated that the data set of CYSTM1 high expression was mainly enriched in neurodegeneration and oxidative phosphorylation pathways.Conclusion: CYSTM1 is an effective biomarker for the prognosis of patients with early-stage HCC and may play a key role in the occurrence and progression of HCC.


2020 ◽  
Author(s):  
Keqian Zhang ◽  
Tianqi Mao ◽  
Zhicheng He ◽  
Xiaojiao Wu ◽  
Yu Peng ◽  
...  

Abstract Background: This study was conducted to detect the expression of Cdc42 interacting protein 4 (CIP4) in patients with colorectal cancer (CRC), and explore the role of CIP4 in prognosis of CRC patients.Methods: The expression of CIP4 mRNA was determined by quantitative real-time PCR (qRT-CPR) and compared by student’s t-test between groups. Relationships of clinical characteristics and CIP4 expression were analyzed by Chi-square test. Kaplan-Meier curves were used to estimate the overall survival of CRC patients. And Cox regression analysis was conducted to identify the prognostic biomarkers for CRC patients.Results: The qRT-PCR results showed that CRC tissues were detected with significantly high CIP4 mRNA expression compared with adjacent normal controls (P<0.0001). The overexpression of CIP4 in CRC tissues was influenced by distant metastasis (P=0.021), lymphatic invasion (P=0.012) and TNM stage (P=0.006). But, other clinical factors including age, gender, differentiation and tumor site were proved to have no obvious effects on CIP4 expression (all, P>0.05). The survival curves showed that patients with high CIP4 expression generally lived shorter than those with low CIP4 expression (P<0.001). In addition, the multivariate analysis revealed that differentiation (P=0.044, HR=1.631, 95%CI=1.013-2.626) and CIP4 expression (P=0.000, HR=5.283, 95%CI=3.138-8.893) were of great prognostic significance for CRC patients.Conclusion: Taken together, up-regulation of CIP4 in CRC tissues represented poor prognosis for patients.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Ruobing Wang ◽  
Yan Jiao ◽  
Yanqing Li ◽  
Siyang Ye ◽  
Guoqiang Pan ◽  
...  

Liver cancer is a devastating disease for humans with poor prognosis. Although the survival rate of patients with liver cancer has improved in the past decades, the recurrence and metastasis of liver cancer are still obstacles for us. Inositol polyphosphate-5-phosphatase K (INPP5K) belongs to the family of phosphoinositide 5-phosphatases (PI 5-phosphatases), which have been reported to be associated with cell migration, polarity, adhesion, and cell invasion, especially in cancers. However, there have been few studies on the correlation of INPP5K and liver cancer. In this study, we explored the prognostic significance of INPP5K in liver cancer through bioinformatics analysis of data collected from The Cancer Genome Atlas (TCGA) database. Chi-square and Fisher exact tests were used to evaluate the relationship between INPP5K expression and clinical characteristics. Our results showed that low INPP5K expression was correlated with poor outcomes in liver cancer patients. Univariate and multivariate Cox analyses demonstrated that low INPP5K mRNA expression played a significant role in shortening overall survival (OS) and relapse-free survival (RFS), which might serve as the useful biomarker and prognostic factor for liver cancer. In conclusion, low INPP5K mRNA expression is an independent risk factor for poor prognosis in liver cancer.


2020 ◽  
Author(s):  
Ning Wang ◽  
Yanni Li ◽  
Yanfang Zheng ◽  
Huoming Chen ◽  
Xiaolong Wen ◽  
...  

Abstract Background The study was designed to examine the reversion inducing cysteine rich protein with Kazal motifs (RECK) levels in patients with cholangiocarcinoma (CCA) and assess its role in CCA prognosis. Methods Quantitative real-time PCR (qRT-PCR) was used to determine the expression of RECK mRNA in 127 pairs of CCA samples and controls. Chi-square test was conducted to analyze the effects of clinical features on RECK expression. Kaplan-Meier curves were plotted to determine the overall survival rate of CCA patients with different RECK expression. The prognostic biomarkers for CCA patients were identified using the Cox regression analysis. Results Significantly down-regulated expression of RECK mRNA was determined in CCA tissues compared to noncancerous controls (P < 0.05). Chi-square test suggested reduced RECK expression was related with invasion depth (P = 0.026), differentiation (P = 0.025), lymphatic metastasis (P = 0.010) and TNM stage (P = 0.015). However, age, sex, tumor size and family history had no significant links with RECK expression (all, P > 0.05). The survival curves showed that patients with low RECK expression had a shorter overall survival rate than those with high RECK expression. Both the univariate analysis (P = 0.000, HR = 5.290, 95%CI = 3.195–8.758) and multivariate analysis (P = 0.000, HR = 5.376, 95%CI = 2.231–8.946) demonstrated that RECK was an independent biomarker for predicting the outcomes of CCA patients. Conclusions Taken together, the expression of RECK was down-regulated in CCA and it might be an efficient biomarker for CCA patients.


2020 ◽  
Author(s):  
Shuangqing Cao ◽  
Lei Zheng

Abstract Background: Phosphatase of regenerating liver-3 (PRL-3) was involved in a variety of malignancies. In this study, we investigated the expression pattern of PRL-3 and its prognostic significance in prostate cancer (PCa).Methods: The expression profiles of PRL-3 in 126 pairs PCa tissues and adjacent normal specimens were analyzed by quantitative rreal-time polymerase chain reaction (qRT-PCR). Chi-square test was used to estimate the association of PRL-3 level with clinicopathological factors. Survival analysis was performed by Kaplan-Meier method with log rank test. Prognosis analysis was carried out using Cox proportional hazard models.Results: PRL-3 expression was significantly up-regulated in PCa tissues compared to that in normal controls (P<0.001). Moreover, the expression of PRL-3 was positively associated with lymph node metastasis (P=0.038), Gleason score (P=0.003) and lymphovascular invasion (P=0.013). High PRL-3 expression predicted poor overall survival (OS) (log rank test, P=0.019) and dismal BCR-free survival (log rank test, P=0.021) for PCa patients. PRL-3 was an independent prognostic factor for OS (HR=2.619, 95%CI=1.129-6.076, P=0.025) and BCR-free survival (HR=2.120, 95%CI=1.095-4.105, P=0.026) in PCa.Conclusions: PRL-3 expression is elevated in PCa, and exhibits positive association with malignant tumor progression. PRL-3 may serve as a prognostic biomarker for patients with PCa.


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