scholarly journals GNAO1 as a Novel Predictive Biomarker for Late Relapse in Hepatocellular Carcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Meiling Du ◽  
Jie Feng ◽  
Yiran Tao ◽  
Qincong Pan ◽  
Fengyuan Chen
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cox Regression ◽  
Predictive Biomarker ◽  
High Expression ◽  
Late Relapse ◽  
Kaplan Meier ◽  
Good Ability ◽  
Relapse Prediction ◽  
Kaplan Meier Plotter

GNAO1, the alpha O1 subunit of G protein, was reported to be significantly downregulated in hepatocellular carcinoma (HCC), as well as being implicated in a variety of intracellular biological events; findings suggest that it may act as a tumor suppressor. Our goal was to further explore the expression of GNAO1 in HCC patients and its potential clinical significance. Oncomine and Kaplan–Meier plotter databases were used to assess the mRNA expression of GNAO1 in HCC tissues and patient survival time. Subsequently, immunohistochemistry (IHC) was used to measure GNAO1 protein level in tissue from 79 cases of HCC and paired adjacent tissues. The Kaplan–Meier survival analysis, Cox regression model, and prognostic nomogram were used to evaluate the prognostic role of GNAO1 in HCC. Results demonstrated that mRNA and protein expressions of GNAO1 were both lower in HCC tissues than in adjacent tissues (all p < 0.01 ). HCC patients with high expression of GNAO1 had better relapse-free survival (RFS) than those with low GNAO1 expression (all p < 0.05 ). A high expression of GNAO1, meanwhile, functioned as a good predictor of late relapse for HCC ( p < 0.05 ). The nomogram consisting of GNAO1 expression and the tumor-node-metastasis (TNM) model presented good ability in predicting the 3-year relapse for HCC (C-index = 0.614). In conclusion, GNAO1 was a reliable biomarker of relapse prediction for HCC.

scholarly journals Prognostic implications of alcohol dehydrogenases in hepatocellular carcinoma

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xiangye Liu ◽  
Tingting Li ◽  
Delong Kong ◽  
Hongjuan You ◽  
Fanyun Kong ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cox Regression ◽  
Expression Profiles ◽  
High Expression ◽  
Rank Test ◽  
Good Survival ◽  
Alcohol Dehydrogenases ◽  
Kaplan Meier ◽  
Incidence And Mortality ◽  
Prognostic Implications

Abstract Background Hepatocellular carcinoma (HCC) is a malignancy with high incidence and mortality rates worldwide. Alcohol dehydrogenases (ADHs) are huge family of dehydrogenase enzymes and associated with the prognosis of various cancers. However, comprehensive analysis of prognostic implications related to ADHs in HCC is still lacking and largely unknown. Methods The expression profiles and corresponding clinical information of HCC were obtained from The Cancer Genome Atlas (TCGA). Wilcoxon signed-rank test was employed to evaluate the expression of ADHs. Cox regression and Kaplan-Meier analyses were used to investigate the association between clinicopathological characteristics and survival. GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analyses were performed and visualized using R/BiocManager package. Results We found that the expression of ADH1A, ADH1B, ADH1C, ADH4, and ADH6 was significantly downregulated in HCC samples compared to normal liver samples. Our univariate and multivariate Cox regression analyses results showed that high expression of ADH1A, ADH1B, ADH1C, ADH4, and ADH6 was considered as an independent factor with an improved prognosis for the survival of HCC patients. Moreover, our Kaplan-Meier analysis results also revealed that high expression of AHD1A, ADH1B, ADH1C, ADH4, and ADH6 was significantly associated with good survival rate in HCC patients. In addition, GO, KEGG, and GSEA analyses unveiled several oncogenic signaling pathways were negatively associated high expression of ADHs in HCC. Conclusion In the present study, our results provide the potential prognostic biomarkers or molecular targets for the patients with HCC.

scholarly journals Prognostic implications of alcohol dehydrogenases in hepatocellular carcinoma

2020 ◽  
Author(s):  
Xiangye Liu ◽  
Tingting Li ◽  
Delong Kong ◽  
Hongjuan You ◽  
Fanyun Kong ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cox Regression ◽  
Expression Profiles ◽  
High Expression ◽  
Rank Test ◽  
Good Survival ◽  
Alcohol Dehydrogenases ◽  
Kaplan Meier ◽  
Incidence And Mortality ◽  
Prognostic Implications

Abstract Background: Hepatocellular carcinoma (HCC) is a malignancy with high incidence and mortality rates worldwide. Alcohol dehydrogenases (ADHs) are huge family of dehydrogenase enzymes and associated with the prognosis of various cancers. However, comprehensive analysis of prognostic implications related to ADHs in HCC is still lacking and largely unknown. Methods: The expression profiles and corresponding clinical information of HCC were obtained from The Cancer Genome Atlas (TCGA). Wilcoxon signed-rank test was employed to evaluate the expression of ADHs. Cox regression and Kaplan-Meier analyses were used to investigate the association between clinicopathological characteristics and survival. GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analyses were performed and visualized using R/BiocManager package. Results: We found that the expression of ADH1A, ADH1B, ADH1C, ADH4, and ADH6 was significantly downregulated in HCC samples compared to normal liver samples. Our univariate and multivariate Cox regression analyses results showed that high expression of ADH1A, ADH1B, ADH1C, ADH4, and ADH6 was considered as an independent factor with an improved prognosis for the survival of HCC patients. Moreover, our Kaplan-Meier analysis results also revealed that high expression of AHD1A, ADH1B, ADH1C, ADH4, and ADH6 was significantly associated with good survival rate in HCC patients. In addition, GO, KEGG, and GSEA analyses unveiled several oncogenic signaling pathways were negatively associated high expression of ADHs in HCC. Conclusion: In the present study, our results provide the potential prognostic biomarkers or molecular targets for the patients with HCC.

scholarly journals Bioinformatics Analysis and Insights for The Role of COMMD7 in Hepatocellular Carcinoma

2020 ◽  
Author(s):  
Xuehui Peng ◽  
Yonggang He ◽  
Xiaobing Huang ◽  
Nan You ◽  
Huiying Gu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Bioinformatics Analysis ◽  
Tissue Expression ◽  
The Cancer Genome Atlas ◽  
Research Progress ◽  
Kaplan Meier ◽  
Tumor Tissues ◽  
Cancer Genome Atlas ◽  
Kaplan Meier Plotter

Abstract Background: The tumorigenesis and development of hepatocellular carcinoma (HCC) is a process involving multiple factors. The COMMDs family proteins were reported to play important roles in various disease and cancers including HCC. We previously found COMMD7 acted as a HCC-promotion factor; however, further understanding on COMMD7 was needed. We conducted these bioinformatics analysis for the purpose of comprehensive understanding of the functional role of COMMD7 in HCC.Methods: The bioinformatics analysis of COMMD7 were launched by online platforms including KEGG, GEPIA, cBioportal, Gene Ontology and The Kaplan-Meier plotter. Data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) were downloaded, and the data analysis and processing were conducted by RStudio (version 1.3.959) software.Results: The expression profile results of COMMD7 in TCGA and GTEx database suggested that COMMD7 expressed highly in liver tumor tissues and positively related with poorer prognosis (p<0.01); COMMD7 also contributed to the early development of HCC as its higher expression resulted in progression from stage I to stage III (p<0.01). Based on our previous studies, COMMD7 may target NF-κB signaling and CXCL10 to enhance the proliferation of hepatoma cells so that promoting the development of HCC. Conclusions：This study updates the current studies about the newly recognized roles of COMMD7 in the progression of HCC, summarizing the research progress and prospects of COMMD7 comprehensively, offering an outlook for the future investigation and targeted therapy of HCC.

scholarly journals Downregulation of Macrophage-Derived T-UCR uc.306 Associates with Poor Prognosis in Hepatocellular Carcinoma

2017 ◽  
Vol 42 (4) ◽  
pp. 1526-1539 ◽  
Author(s):  
Hong-Lin Luo ◽  
Jie Chen ◽  
Tao Luo ◽  
Fei-Xiang Wu ◽  
Jun-Jie Liu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Models ◽  
Wnt Pathway ◽  
Cox Regression ◽  
M1 Macrophages ◽  
Kaplan Meier ◽  
Tumor Tissues ◽  
M1 Phenotype ◽  
Lower Expression

Background/Aims: Increasing evidence suggests that T-UCRs are involved in the development of cancer. In this study, we evaluated the role of a macrophage-derived T-UCR, uc.306, in the prognosis of hepatitis B (HBV)-related hepatocellular carcinoma (HCC). Methods: The uc.306 was obtained by screening microassay data obtained during the polarization of U937 cells from the M2 to M1 phenotype. Uc.306 and macrophage molecule markers were detected by qPCR. Immunohistochemical (IHC) assays were used to examine the M1/M2 status of 90 paired HCC tissues. Kaplan-Meier tests and multivariable Cox regression models were used to analyze predictive confidences, survival, and risk factors. Results: In total, 2,977 differentially expressed T-UCRs were obtained, of which 257 showed fold changes >1.5. The uc.306 was upregulated in M1 cells and was predicted to be involved in the Wnt pathway. The IHC results showed that M1 macrophages (CD68+) were present in the para-tumor tissues, while the M2 phenotype (CD163+) was mainly in the HCC tissues. Uc.306 had a lower expression in the HCC tissues than in that of the para-tumor tissues in 30 paired HCC training sets (P < 0.0001), and 252 paired HCC testing sets (P < 0.0001). Low expression of uc.306 was significantly associated with a shorter overall survival (P < 0.05). Conclusions: The uc.306 may be a promising biomarkerfor HBV-related HCC, providing a novel marker for the prognosis of HCC.

scholarly journals Prognostic implications of alcohol dehydrogenases in hepatocellular carcinoma

2020 ◽  
Author(s):  
Xiangye Liu ◽  
Tingting Li ◽  
Delong Kong ◽  
Hongjuan You ◽  
Fanyun Kong ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cox Regression ◽  
Expression Profiles ◽  
High Expression ◽  
Rank Test ◽  
Good Survival ◽  
Alcohol Dehydrogenases ◽  
Kaplan Meier ◽  
Incidence And Mortality ◽  
Prognostic Implications

Abstract Background: Hepatocellular carcinoma (HCC) is a malignancy with high incidence and mortality rates worldwide. Alcohol dehydrogenases (ADHs) are huge family of dehydrogenase enzymes and associated with the prognosis of various cancers. However, comprehensive analysis of prognostic implications related to ADHs in HCC is still lacking and largely unknown. Methods: The expression profiles and corresponding clinical information of HCC were obtained from The Cancer Genome Atlas (TCGA). Wilcoxon signed-rank test was employed to evaluate the expression of ADHs. Cox regression and Kaplan-Meier analyses were used to investigate the association between clinicopathological characteristics and survival. GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analyses were performed and visualized using R/BiocManager package. Results: We found that the expression of ADH1A, ADH1B, ADH1C, ADH4, and ADH6 was significantly downregulated in HCC samples compared to normal liver samples. Our univariate and multivariate Cox regression analyses results showed that high expression of ADH1A, ADH1B, ADH1C, ADH4, and ADH6 was considered as an independent factor with an improved prognosis for the survival of HCC patients. Moreover, our Kaplan-Meier analysis results also revealed that high expression of AHD1A, ADH1B, ADH1C, ADH4, and ADH6 was significantly associated with good survival rate in HCC patients. In addition, GO, KEGG, and GSEA analyses unveiled several oncogenic signaling pathways were negatively associated high expression of ADHs in HCC. Conclusion: In the present study, our results provide the potential prognostic biomarkers or molecular targets for the patients with HCC.

Prognostic and predictive significance of the tumor microenvironment in hepatocellular carcinoma

2021 ◽  
pp. 1-12
Author(s):  
Jibing Liu ◽  
Shuwen Kuang ◽  
Yiling Zheng ◽  
Mei Liu ◽  
Liming Wang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Microenvironment ◽  
Roc Curve ◽  
Cox Regression ◽  
Predictive Biomarker ◽  
Foxp3 Expression ◽  
Tissue Samples ◽  
Logistic Analysis ◽  
Kaplan Meier ◽  
Tumor Number

BACKGROUND: Identification of molecular markers that reflect the characteristics of the tumor microenvironment (TME) may be beneficial to predict the prognosis of post-operative hepatocellular carcinoma (HCC) patients. OBJECTIVE AND METHODS: A total of 100 tissue samples from HCC patients were separately stained by immunohistochemistry to examine the expression levels of CD56, CD8α, CD68, FoxP3, CD31 and pan-Keratin. The prognostic values were analyzed by Cox regression and the Kaplan-Meier method. RESULTS: Univariate and multivariate logistic analysis showed that FoxP3 was the independent factor associated with microvascular invasion (MVI), tumor size and envelop invasion; CD68 was associated with envelope invasion and AFP. Kaplan-Meier survival curves revealed that CD68 and FoxP3 expression were significantly associated with relapse free survival (RFS) of HCC patients (P< 0.05). The ROC curve indicated that the combination of tumor number, MVI present and CD68 expression yielded a ROC curve area of 82.3% (86.36% specificity, 68.75% sensitivity) to evaluate the prognosis of HCC patients, which was higher than the classifier established by the combination of tumor number and MVI (78.8% probability, 63.64% specificity and 85.42% sensitivity). CONCLUSIONS: Our study indicated that CD68 and FoxP3 are associated with prognosis of HCC patients, and CD68 can be considered as a potential prognostic and predictive biomarker.

scholarly journals High Expression of SRD5A3 in Human Hepatocellular Carcinoma (HCC) Predicts Poor Prognosis: A Study Based on TCGA Data

2021 ◽  
Author(s):  
Jing Xue ◽  
Xianzhao Yang ◽  
Feng Jiang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Cycle ◽  
Overall Survival ◽  
Poor Prognosis ◽  
Cox Regression ◽  
High Expression ◽  
Th2 Cells ◽  
Kaplan Meier ◽  
Potential Biomarker ◽  
Pathologic Features

Abstract Background: Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related death worldwide. Steroid 5 alpha-reductase 3 (SRD5A3) was reported to be up-regulated in many types of cancer. However, its expression and role in HCC remains to be elucidated. We aim to evaluate the significance of SRD5A3 expression in HCC by using analysis of a public dataset from The Cancer Genome Atlas (TCGA).Methods: The relationship between clinical pathologic features and SRD5A3 were analyzed with the Kolmogorov‐Smirnov test and the logistic regression. Cox regression and the Kaplan-Meier method were used to assess the clinicopathologic characteristics associated with overall survival (OS) in TCGA patients. In addition, GSEA was used to predict potential hallmarks associated with different expression of SRD5A3 on transcriptional sequences from TCGA database.Results: SRD5A3 was highly expressed in HCC tumor tissue compared to normal tissue. A total of 184 upregulated DEGs (differentially expressed genes) and 58 downregulated DEGs were identified between high expression and low expression of SRD5A3. Among them, 22 hub genes mainly belonging to the keratin and MUC family demonstrated by connectivity degree in the PPI network were screened out. Kaplan-Meier method showed that HCC patients in the high SRD5A3 expression group had poorer overall survival (OS, HR=2.26(1.58-3.24), p<0.001). In addition, cell cycle mitotic, cell cycle checkpoints, mitotic nuclear division, Q-glycan processing, protein O-linked glycosylation were differentially enriched in the high SRD5A3 expression phenotype pathway. In addition, SRD5A3 expression level has significant correlations with infiltrating levels of Th17 (R = -0.238, p < 0.001), Cytotoxic cells (R = -0.234, p < 0.001) and Th2 cells (R = 0.258, p < 0.001) in HCC.Conclusions: High expression of SRD5A3 was significantly correlated with poor prognosis in HCC patients. It may be a potential biomarker in HCC.

scholarly journals Bioinformatics Analysis and Insights for the Role of COMMD7 in Hepatocellular Carcinoma

2020 ◽  
Author(s):  
Jing Li ◽  
Xuehui Peng ◽  
Yonggang He ◽  
Xiaobing Huang ◽  
Nan You ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Bioinformatics Analysis ◽  
Tissue Expression ◽  
The Cancer Genome Atlas ◽  
Research Progress ◽  
Kaplan Meier ◽  
Tumor Tissues ◽  
Cancer Genome Atlas ◽  
Kaplan Meier Plotter

Abstract Background: The tumorigenesis and development of hepatocellular carcinoma (HCC) is a process involving multiple factors. The COMMDs family proteins were reported to play important roles in various disease and cancers including HCC. We previously found COMMD7 acted as a HCC-promotion factor; however, further understanding on COMMD7 was needed. We conducted these bioinformatics analysis for the purpose of comprehensive understanding of the functional role of COMMD7 in HCC.Methods: The bioinformatics analysis of COMMD7 were launched by online platforms including KEGG, GEPIA, cBioportal, Gene Ontology and The Kaplan-Meier plotter. Data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) were downloaded, and the data analysis and processing were conducted by RStudio (version 1.3.959) software.Results: The expression profile results of COMMD7 in TCGA and GTEx database suggested that COMMD7 expressed highly in liver tumor tissues and positively related with poorer prognosis (p<0.01); COMMD7 also contributed to the early development of HCC as its higher expression resulted in progression from stage I to stage III (p<0.01). Based on our previous studies, COMMD7 may target NF-κB signaling and CXCL10 to enhance the proliferation of hepatoma cells so that promoting the development of HCC. Conclusions：This study updates the current studies about the newly recognized roles of COMMD7 in the progression of HCC, summarizing the research progress and prospects of COMMD7 comprehensively, offering an outlook for the future investigation and targeted therapy of HCC.

scholarly journals Mining prognostic markers of Asian hepatocellular carcinoma patients based on the apoptosis-related genes

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Junbin Yan ◽  
Jielu Cao ◽  
Zhiyun Chen
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Analysis ◽  
Risk Score ◽  
Roc Curve ◽  
Prognostic Model ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Cox Analysis ◽  
Kaplan Meier Plotter

Abstract Background Apoptosis-related genes(Args)play an essential role in the occurrence and progression of hepatocellular carcinoma(HCC). However, few studies have focused on the prognostic significance of Args in HCC. In the study, we aim to explore an efficient prognostic model of Asian HCC patients based on the Args. Methods We downloaded mRNA expression profiles and corresponding clinical data of Asian HCC patients from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. The Args were collected from Deathbase, a database related to cell death, combined with the research results of GeneCards、National Center for Biotechnology Information (NCBI) databases and a lot of literature. We used Wilcoxon-test and univariate Cox analysis to screen the differential expressed genes (DEGs) and the prognostic related genes (PRGs) of HCC. The intersection genes of DEGs and PGGs were seen as crucial Args of HCC. The prognostic model of Asian HCC patients was constructed by least absolute shrinkage and selection operator (lasso)- proportional hazards model (Cox) regression analysis. Kaplan-Meier curve, Principal Component Analysis (PCA) analysis, t-distributed Stochastic Neighbor Embedding (t-SNE) analysis, risk score curve, receiver operating characteristic (ROC) curve, and the HCC data of ICGC database and the data of Asian HCC patients of Kaplan-Meier plotter database were used to verify the model. Results A total of 20 of 56 Args were differentially expressed between HCC and adjacent normal tissues (p < 0.05). Univariate Cox regression analysis showed that 10 of 56 Args were associated with survival time and survival status of HCC patients (p < 0.05). There are seven overlapping genes of these 20 and 10 genes, including BAK1, BAX, BNIP3, CRADD, CSE1L, FAS, and SH3GLB1. Through Lasso-Cox analysis, an HCC prognostic model composed of BAK1, BNIP3, CSE1L, and FAS was constructed. Kaplan-Meier curve, PCA, t-SNE analysis, risk score curve, ROC curve, and secondary verification of ICGC database and Kaplan-Meier plotter database all support the reliability of the model. Conclusions Lasso-Cox regression analysis identified a 4-gene prognostic model, which integrates clinical and gene expression and has a good effect. The expression of Args is related to the prognosis of HCC patients, but the specific mechanism remains to be further verified.

Prognostic role of aberrant mTOR activation in patients with stage II and III colorectal cancer

2020 ◽  
Vol 14 (12) ◽  
pp. 1127-1137
Author(s):  
Tong-Tong Zhang ◽  
Yi-Qing Zhu ◽  
Hong-Qing Cai ◽  
Jun-Wen Zheng ◽  
Jia-Jie Hao ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Stage Ii ◽  
Poor Prognostic Factor ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Potential Biomarker ◽  
Risk Predictor

Aim: This study aimed to develop an effective risk predictor for patients with stage II and III colorectal cancer (CRC). Materials & methods: The prognostic value of p-mTOR (Ser2448) levels was analyzed using Kaplan–Meier survival analysis and Cox regression analysis. Results: The levels of p-mTOR were increased in CRC specimens and significantly correlated with poor prognosis in patients with stage II and III CRC. Notably, the p-mTOR level was an independent poor prognostic factor for disease-free survival and overall survival in stage II CRC. Conclusion: Aberrant mTOR activation was significantly associated with the risk of recurrence or death in patients with stage II and III CRC, thus this activated proteins that may serve as a potential biomarker for high-risk CRC.

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