Dataset Information

Identification of NOX4 as a New Biomarker in Hepatocellular Carcinoma and Its Effect on Sorafenib Therapy.

ABSTRACT: To improve the survival of patients with hepatocellular carcinoma (HCC), new biomarkers and therapeutic targets are urgently needed. In this study, the GEO and TCGA dataset were used to explore the differential co-expressed genes and their prognostic correlation between HCC and normal samples. The mRNA levels of these genes were validated by qRT-PCR in 20 paired fresh HCC samples. The results demonstrated that the eight-gene model was effective in predicting the prognosis of HCC patients in the validation cohorts. Based on qRT-PCR results, NOX4 was selected to further explore biological functions within the model and 150 cases of paraffin-embedded HCC tissues were scored for NOX4 immunohistochemical staining. We found that the NOX4 expression was significantly upregulated in HCC and was associated with poor survival. In terms of function, the knockdown of NOX4 markedly inhibited the progression of HCC in vivo and in vitro. Mechanistic studies suggested that NOX4 promotes HCC progression through the activation of the epithelial-mesenchymal transition. In addition, the sensitivity of HCC cells to sorafenib treatment was obviously decreased after NOX4 overexpression. Taken together, this study reveals NOX4 as a potential therapeutic target for HCC and a biomarker for predicting the sorafenib treatment response.

SUBMITTER: Li HZ

PROVIDER: S-EPMC10452076 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Identification of NOX4 as a New Biomarker in Hepatocellular Carcinoma and Its Effect on Sorafenib Therapy.

Li Hui-Zhou HZ Liu Qing-Qing QQ Chang De-Hua DH Li Shu-Xian SX Yang Long-Tao LT Zhou Peng P Deng Jiang-Bei JB Huang Chang-Hao CH Xiao Yu-Dong YD

Biomedicines 20230804 8

To improve the survival of patients with hepatocellular carcinoma (HCC), new biomarkers and therapeutic targets are urgently needed. In this study, the GEO and TCGA dataset were used to explore the differential co-expressed genes and their prognostic correlation between HCC and normal samples. The mRNA levels of these genes were validated by qRT-PCR in 20 paired fresh HCC samples. The results demonstrated that the eight-gene model was effective in predicting the prognosis of HCC patients in the ...[more]

PMID: 37626693

Similar Datasets

Project description:Targeted therapy is currently the standard treatment for advanced hepatocellular carcinoma (HCC), but an effective treatment after the discontinuation of sorafenib therapy remains uncertain. We aim to investigate the survival benefits of transcatheter arterial chemoembolization (TACE) after stopping sorafenib therapy. We retrospectively analyzed all patients with advanced HCC, who had received palliative TACE after terminating sorafenib therapy, from January 2008 to June 2016. Patients who were in the terminal stage (Child-Pugh class C or performance status 3-4), who received a liver transplantation, or who had received any HCC treatment other than TACE, were excluded. Finally, 28 patients were recruited as the TACE group, and were randomly matched 1:1 by age, gender, Child-Pugh class, extrahepatic metastasis, and portal vein thrombosis with 28 controls who only received supportive care. For avoiding any immortal time bias, the index date of outcome follow-up was also matched. Cumulative incidences of, and hazard ratios (HRs) for, patient mortality were analyzed. The baseline demographic data between the TACE group and the control group were similar, but the 1-year overall survival rate in the TACE group was significantly higher than that of the control group (41.2%, 95% confidence interval [CI]: 19.4-63.0% vs. 24.5%, 95% CI: 6.3-42.7%; p < 0.01). In multivariate analysis, after adjusting for alpha-fetoprotein > 400ng/mL, Child-Pugh class B, and tumor extension > 50% of liver volume, TACE was independently associated with a decreased mortality risk(HR 0.19, 95% CI: 0.08-0.42). In addition, tumor extension > 50% of the liver was another independent prognostic factor associated with an increased mortality risk (HR 2.99, 95% CI: 1.31-6.82). Multivariate stratified analyses verified the association of TACE with a decreased mortality rate in each patient subgroup (all HR < 1.0). By controlling intrahepatic tumor growth, TACE may be a treatment option for use in improving patient survival in advanced HCC, after the termination of sorafenib therapy.

Project description:BackgroundLiver cirrhosis is one of the major drivers of hepatocellular carcinoma (HCC). In the present study, we aimed to identify and validate new biomarker for early prediction of HCC development in early-stage cirrhosis patients.MethodsmRNA expression and clinical parameters of GSE63898, GSE89377, GSE15654, GSE14520, and TCGA-HCC cohort and ICGC-HCC cohort were downloaded for analysis. Wilcoxon test was performed to identify DEGs. Univariate and multivariate Cox regression analysis were used to develop the risk signature, and ROC analysis was performed to analyze the predictive accuracy and sensitivity of the risk signature.ResultsThere were 42 DEGs (including 28 upregulated genes and 14 downregulated genes) found in early-stage liver cirrhosis patients before developing HCC from GSE1565442. Then, a risk signature consisting of 8 DEGs could effectively classify early-stage cirrhosis patients into high-risk group with shorter HCC development time and low-risk group with longer HCC development time from GSE15654. Multivariate Cox analysis indicated that the risk signature was an independent prognostic factor for the prediction of HCC development and ROC analysis showed that the signature exhibited good predictive efficiency in predicting 2-, 5-, and 10-year HCC development. Mechanistically, significantly higher proportions of CD8 T cells were found to be enriched in cirrhosis patients with low risk score, and higher CD8 T cells were associated with longer HCC development time. Besides, the signature was an independent prognostic factor for poorer prognosis of early-stage liver cirrhosis patients of GSE15654. Moreover, the signature could also separate HCC patients from healthy controls and was also associated with the poorer prognosis of HCC patients from three HCC cohorts. Finally, we also identified HDAC inhibitors, such as trichostatin A, to be a potential chemopreventive treatment for the prevention of HCC development by targeting risk signature based on CMap analysis.ConclusionA risk signature was developed and validated for early prediction of HCC development, which may be a useful tool to set up individualized follow-up interval schedules.

Dataset Information

Identification of NOX4 as a New Biomarker in Hepatocellular Carcinoma and Its Effect on Sorafenib Therapy.

Publications

Identification of NOX4 as a New Biomarker in Hepatocellular Carcinoma and Its Effect on Sorafenib Therapy.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets