JUND Promotes Tumorigenesis via Specifically Binding on Enhancers of Multiple Oncogenes in Cervical Cancer.

Purpose: Enhancers are genomic regulatory elements located distally from the target gene, which play a critical role in determining cell identity and function. Dysregulation of enhancers has been frequently observed in various types of cancer, including cervical cancer. However, the identity of enhancers and their associated transcriptional regulators that are involved in cervical cancer remains unclear. Methods: With bioinformatics and 3D genomics, we revealed the enhancers in cervical cancer cell line and calculated which transcription factor (TF) is specifically binding on them based on TFs motif database. We knockdowned this TF and studied its function in cervical cancer cell line in vivo and in vitro. Results: We found 14,826 activated enhancers and predicted that JUND (JunD Proto-Oncogene) is relatively enriched in the sequences of these enhancers. Well-known oncogene MYC and JUN were regulated by JUND through enhancers. To further explore the roles of JUND in cervical cancer, we analyzed the gene expression data of clinical cervical cancer samples and knock-downed JUND by CRISPR-Cas9 in Hela cell line. We found JUND is over-expressed in cervical cancer and the expression of JUND increased along with the cervical cancer progresses. Knockdown of JUND decreased the proliferation of Hela cells in vitro and in vivo and blocked cell cycle in G1-phase. Transcriptome sequencing analysis revealed the identification of 2,231 differentially expressed genes in response to the JUND knockdown treatment. This perturbation resulted in the modulation of several biological processes and pathways that have been previously linked to cancer. Conclusion: These findings provide evidence for the significant involvement of JUND in cervical cancer pathogenesis, thereby positioning JUND as a potential therapeutic target for the treatment of this disease.

Expression and prognostic potential of GPX1 in human cancers based on data mining.

BACKGROUND: Glutathione peroxidase-1 (GPX1) is a member of the GPX family, which considered an enzyme that interacts with oxidative stress. GPX1 differential expression is closely correlated with carcinogenesis and disease progression. In this study, we used bioinformatics analysis to investigate GPX1 expression level and explore the prognostic information in different human cancers. METHODS: Expression was analyzed via the Oncomine database and Gene Expression Profiling Interactive Analysis tool, and potential prognostic analysis was evaluated using the UALCAN, GEPIA, and DriverDBv3 databases. Then, the UALCAN database was used to find the promoter methylation of GPX1 in defied cancer types. While GPX1 related functional networks were found within the GeneMANIA interactive tool and Cytoscape software. Moreover, Metascape online website was used to analyze Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways. RESULTS: We found that GPX1 was commonly overexpressed in most human cancers. High expression of GPX1 could lead to poor outcomes in Brain Lower Grade Glioma, while GPX1 over expression was correlated with better prognosis in Kidney renal papillary cell carcinoma (KIPP). High GPX1 expression was marginally associated with poor prognosis in acute myeloid leukemia (AML). Gene regulation network suggested that GPX1 mainly involved in pathways including the glutathione metabolism, ferroptosis, TP53 regulates metabolic genes, reactive oxygen species (ROS) metabolic process, and several other signaling pathways. CONCLUSIONS: Our findings revealed that GPX1 showed significant expression differences among cancers and served as a prognostic biomarker for defined cancer types. The data mining effectively revealed useful information about GPX1 expression, prognostic values, and potential functional networks in cancers, thus providing researchers with an available way to further explore the mechanism underlying carcinogenesis of genes of interest in different cancers.

Wogonoside induces apoptosis in human non-small cell lung cancer A549 cells by promoting mitochondria dysfunction.

Non-small cell lung cancer (NSCLC) is one of the most prevailing malignancies worldwide. It has been previously shown that wogonoside exerts anti-tumor activities in various kinds of human cancers. But its role in NSCLC remains elusive. In the present study, we determined the anti-tumor effect of wogonoside in human NSCLC A549 cells. We found that wogonoside effectively inhibits A549 cell viability through inducing cell cycle arrest and apoptosis. Moreover, administration of wogonoside by intraperitoneal injection inhibits the growth of A549 cell xenografts in athymic nude mice. Additionally, mitochondrial membrane potential was disrupted and cytochrome c was released to cytosol in the wogonoside-treated A549 cells. Finally, we found that AMPK/mTOR signaling might be implicated in the anti-NSCLC efficacy of wogonoside. Therefore, we may assume that wogonoside may be considered as a potential therapeutic agent for the treatment of NSCLC.

c-Myc-activated long non-coding RNA H19 downregulates miR-107 and promotes cell cycle progression of non-small cell lung cancer.

To verify c-Myc can regulate the expression of lncRNA H19 directly in non-small cell lung cancer (NSCLC) and clarify the molecular mechanism on how lncRNA H19 promote the cell cycle progression of NSCLC. The mRNA levels of lncRNA H19 in NSCLC tissues and cells, the adjacent tissues and normal cells were determined by RT-PCR. The expression change of lncRNA H19 in NSCLC cells after transfection with pcDNA3.1-c-Myc or c-Myc-siRNA was determined by RT-PCR, respectively. Targeted role of c-Myc on the promoter of H19 was studied by luciferase reporter assay. Chromosome immune coprecipitation (ChIP) was used to confirm the relationship between c-Myc and H19. MiRNAs that have base-pairing with H19 was predicted by online software. The relationship between H19 and miR-107 was determined by disturbing and overexpressing the expression of H19. The influence of the changes of H19 and miR-107 on cell cycle progression was determined by flow cytometry. The mRNA levels of lncRNA H19 in NSCLC tissues and cells were significantly higher than the adjacent tissues and normal cells, respectively. The expression of H19 increased or decreased accordingly with the overexpression and knockdown of c-Myc. The activity of the promoter of H19 was strengthened by c-Myc. While the expression of miR-107 increased or decreased with the overexpression and knockdown of H19, respectively. The number of cells in G2/M stage decreased significantly with the knockdown of H19 and miR-107 compared with the control group. Our study demonstrates that lncRNA H19, which is induced by c-Myc, is up-regulated in NSCLC. H19 influences the mitotic progression of NSCLC cell lines.

Prognostic value of ERCC1 and ERCC2 gene polymorphisms in patients with gastric cancer receiving platinum-based chemotherapy.

We conducted a prospective study to analyze whether ERCC1 rs11615 and rs3212986 and ERCC2 rs13181 and rs1799793 gene polymorphisms could serve as potential biomarkers for the prognosis of gastric cancer. A total of 228 patients with pathologically proven gastric cancer and receiving platinum-based chemotherapy were recruited from our hospital between October 2009 and October 2011. The ERCC1 rs11615 and rs3212986 and ERCC2 rs13181 and rs1799793 polymorphisms were genotyped using the polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) assay. Conditional logistic regression analysis revealed that patients carrying the CA and AA genotypes of ERCC1 rs3212986 polymorphism showed a poorer response to chemotherapy compared to the CC genotype (CA vs. CC: OR = 0.28, 95% CI = 0.06-0.98, P = 0.04; AA vs. CC: OR = 0.49, 95% CI = 0.06-0.98, P = 0.01). Moreover, the CA+AA genotype of ERCC1 rs3212986 polymorphism showed a significantly poorer response to chemotherapy (CA+AA vs. CC: OR = 0.49, 95% CI = 0.27-0.90). Patients with the AA genotype of ERCC1 rs3212986 polymorphism had a longer overall survival time when compared with the CC genotype (34.91 months vs. 51.19 months, log-rank P = 0.003). The AA genotype of ERCC1 rs3212986 polymorphism in gastric cancer patients was correlated with a higher risk of death from varying causes by the Cox proportional hazards model, compared to the CC genotype (HR = 6.19, 95% CI = 1.42-30.60). In conclusion, the ERCC1 rs3212986 polymorphism was found to influence the response to chemotherapy and overall survival of gastric cancer patients.