MiRNA expression in hypopharyngeal carcinoma with different survival status
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PROVIDER: PRJNA482458 | ENA |
REPOSITORIES: ENA
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Project description:The study aim to briefly profile miRNA expression differences in hypopharyngeal carcinoma patients, who underwent surgery and chemoradiotherapy, with different survival status. We applied Agilent microRNA microarray to FFPE samples from 8 patients with hypopharyngeal carcinoma.
2018-07-24 | GSE117558 | GEO
Project description:OBJECTIVE: To investigate the differentially expressed genes and miRNAs related to the chemosensitivity of hypopharyngeal squamous cell carcinoma ï¼HSCCï¼by microarrays and miRNA arrays. METHODS: 1. A total number of 21 patients who underwent induction chemotherapy for primary hypopharyngeal squamous cell carcinoma (12 patients are sensitive to chemotherapy ,and others are not) were recruited for microarray and miRNA array gene expression analysis 2. Bioinformatics analysis of differentially expressed genes screened by microarrays : The differential gene cluster analysis was applied in biological processes, cellular components and molecular functions by GO database; The differential gene enrichment analysis was applied in signaling pathways by KEGG database, and the differentially expressed and biologically meaningful core genes would be screened. 3. Prediction and analysis of target genes of differentially expressed miRNAs: TargetScan, PITA and microRNAorg methods were used for target gene prediction in GeneSpring 12.5 software, and the intersection of the three methods analysis was considered as significant target genes. Considering the result of microarrays, the intersection of the predicted target genes and the genes screened by microarrays would be analyzed by bioinformatics, which were considered as genes regulated by different miRNAs. RESULTS: 1. Analyzed by microarrays, there were 1579 genes significantly related to the sensitivity to chemotherapy; Among these 1579genes, 815 showed a higher expression in the tissue from patients who are sensitive to chemotherapy , while 764 presented the contrasting pattern. 2. Analyzed by miRNA arrays, there were 24 genes significantly related to the sensitivity to chemotherapy; Among them, 6 showed a higher expression in the tissue from patients who are sensitive to chemotherapy , while 18 presented the contrasting pattern. TargetScan, PITA and microRNAorg were used for target gene prediction in GeneSpring 12.5 software, and the intersection of the three methods analysis was considered as significant target genes. There were 613 putative target genes corresponding to the 24 significant miRNAs. Among them, six genes(MAPK14, ADCY1, GSTM4, CDC42, JUN, GPX6) were statistically and biologically different related to the sensitivity to chemotherapy. And among the 24 significant miRNAs, miR-193b-3pãmiR-211-3pãmiR-4253ãmiR-4496ãmiR-6738-5p could regulate them. CONCLUSIONS: The research revealed a gene expression signature of chemosensitivity in hypopharyngeal squamous cell carcinoma by microarrays and miRNA arrays. The result will contribute to the understanding of the molecular basis of hypopharyngeal squamous cell carcinoma and help to improve diagnosis and treatment. 1. A total number of 21 patients who underwent induction chemotherapy for primary hypopharyngeal squamous cell carcinoma (12 patients are sensitive to chemotherapy ,and others are not) were recruited for microarray and miRNA array gene expression analysis 2. Bioinformatics analysis of differentially expressed genes screened by microarrays : The differential gene cluster analysis was applied in biological processes, cellular components and molecular functions by GO database; The differential gene enrichment analysis was applied in signaling pathways by KEGG database, and the differentially expressed and biologically meaningful core genes would be screened. 3. Prediction and analysis of target genes of differentially expressed miRNAs: TargetScan, PITA and microRNAorg methods were used for target gene prediction in GeneSpring 12.5 software, and the intersection of the three methods analysis was considered as significant target genes. Considering the result of microarrays, the intersection of the predicted target genes and the genes screened by microarrays would be analyzed by bioinformatics, which were considered as genes regulated by different miRNAs.
2016-08-16 | E-GEOD-85608 | biostudies-arrayexpress
Project description:OBJECTIVE: To investigate the differentially expressed genes and miRNAs related to the chemosensitivity of hypopharyngeal squamous cell carcinoma （HSCC）by microarrays and miRNA arrays. METHODS: 1. A total number of 21 patients who underwent induction chemotherapy for primary hypopharyngeal squamous cell carcinoma (12 patients are sensitive to chemotherapy ,and others are not) were recruited for microarray and miRNA array gene expression analysis 2. Bioinformatics analysis of differentially expressed genes screened by microarrays : The differential gene cluster analysis was applied in biological processes, cellular components and molecular functions by GO database; The differential gene enrichment analysis was applied in signaling pathways by KEGG database, and the differentially expressed and biologically meaningful core genes would be screened. 3. Prediction and analysis of target genes of differentially expressed miRNAs: TargetScan, PITA and microRNAorg methods were used for target gene prediction in GeneSpring 12.5 software, and the intersection of the three methods analysis was considered as significant target genes. Considering the result of microarrays, the intersection of the predicted target genes and the genes screened by microarrays would be analyzed by bioinformatics, which were considered as genes regulated by different miRNAs. RESULTS: 1. Analyzed by microarrays, there were 1579 genes significantly related to the sensitivity to chemotherapy; Among these 1579genes, 815 showed a higher expression in the tissue from patients who are sensitive to chemotherapy , while 764 presented the contrasting pattern. 2. Analyzed by miRNA arrays, there were 24 genes significantly related to the sensitivity to chemotherapy; Among them, 6 showed a higher expression in the tissue from patients who are sensitive to chemotherapy , while 18 presented the contrasting pattern. TargetScan, PITA and microRNAorg were used for target gene prediction in GeneSpring 12.5 software, and the intersection of the three methods analysis was considered as significant target genes. There were 613 putative target genes corresponding to the 24 significant miRNAs. Among them, six genes(MAPK14, ADCY1, GSTM4, CDC42, JUN, GPX6) were statistically and biologically different related to the sensitivity to chemotherapy. And among the 24 significant miRNAs, miR-193b-3p、miR-211-3p、miR-4253、miR-4496、miR-6738-5p could regulate them. CONCLUSIONS: The research revealed a gene expression signature of chemosensitivity in hypopharyngeal squamous cell carcinoma by microarrays and miRNA arrays. The result will contribute to the understanding of the molecular basis of hypopharyngeal squamous cell carcinoma and help to improve diagnosis and treatment.
2016-08-16 | GSE85608 | GEO
Project description:In order to improve our understanding of microRNA (miRNA) deregulation in melanoma development and possible consequences for patient survival, miRNA expression profiles were determined, using an array based approach, in melanoma tumors, melanoma cell lines and normal melanocytes. Differentially expressed miRNAs were evaluated in relation to clinical characteristics, patient prognosis in terms of melanoma-specific survival, and mutational status for BRAF and NRAS.
2010-04-21 | GSE19387 | GEO
Project description:To identify differentially expressed microRNAs in tumor tissues, human hyopophryngeal squamos cell carcinoma tissues were subjected to miRCURY LNA microRNA Array. A total of 11 pairs of primary hypopharyngeal squamous cell carcinoma samples and adjacent normal mucosa were obtained from patients who underwent tumor resection at Chiba University Hospital (Chiba, Japan). The Ethics Committee of Chiba University approved our study, and informed consent was obtained from all patients for use of their tissue samples and clinical data. The tissue samples were immersed in RNAlater and stored at -20°C until use.
2014-01-01 | E-GEOD-51129 | biostudies-arrayexpress
Project description:Background: Clear cell renal cell carcinomas (ccRCCs) display divergent clinical phenotypes. Up to one third of patients with local disease at diagnosis will progress. Therefore, it is a need to identify patients at risk for recurrence. In the present study, we analyzed genome-wide promoter DNA methylation at diagnosis in relation to clinicopathological parameters, in order to identify DNA methylation profiles associated with risk for progress. Method: DNA methylation status in 155,931 CpGs located in gene promoter regions was analyzed by Illumina HumanMethylation450K arrays in diagnostic tissue samples from 115 ccRCC patients. Methylation profiles were compared with genetic aberrations and clinicopathological parameters. Results: The tumors separated into two clusters based on genome-wide promoter methylation status. The tumors in these clusters differed in tumor diameter (p < 0.001), TNM stage (p < 0.001), morphological grade (p < 0.001), and patients outcome (5 year cancer specific survival (pCSS5yr) 72 % in cluster A vs 26 % in cluster B, p < 0.001). When metastasis-status (M0/M1) and cluster A/B status at diagnosis were combined, we found poor survival in M1 patients regardless of cluster A/B status (pCSS5yr 9 % vs 6 %). In M0 patients, the cluster status clearly separated in survival (pCSS5yr 81 % vs 17 %; p < 0.001). We identified a methylation profile of 398 CpGs that was associated with progress of disease, which included differently methylated CpG sites in the SMAD6, SOCS3 and MX2 genes. An integrated genomic and epigenomic analysis revealed significant correlations between the total number of genetic aberrations and hypermethylated CpGs (R = 0.435, p > 0.001), and predicted mitotic age (R = 0.407, p < 0.001). Conclusion: DNA methylation analysis at diagnosis in ccRCC has the potential to improve outcome-prediction and therapy stratification.
2019-01-23 | GSE113501 | GEO
Project description:Circular RNA (circRNA) expression profiles in hypopharyngeal carcinoma tissues vs. adjacent normal mucosae detected by microarray
2017-04-06 | GSE97418 | GEO
Project description:Serum miRNA expression in 25 oral squamous cell cancer patients with different five years survival status and 15 healthy controls
| PRJNA454672 | ENA
Project description:It has been confirmed that nsun2 promotes cell proliferation and migration in hypopharyngeal cancer cell lines, but the pathway of nsun2 in hypopharyngeal cancer cell lines is poorly understood. We constructed stable cell lines by knocking down nsun2 to find the key genes of downstream pathway, and compared them with normal FaDu cell lines.It has been confirmed that nsun2 promotes cell proliferation and migration in FaDu cell line, but the pathway of nsun2 in FaDu cell line is poorly understood. We constructed stable cell lines by knocking down nsun2 to find the key genes of downstream pathway, compared them with normal FaDu cell lines.
2024-01-15 | GSE164886 | GEO
Project description:In order to improve our understanding of microRNA (miRNA) deregulation in melanoma development and possible consequences for patient survival, miRNA expression profiles were determined, using an array based approach, in melanoma tumors, melanoma cell lines and normal melanocytes. Differentially expressed miRNAs were evaluated in relation to clinical characteristics, patient prognosis in terms of melanoma-specific survival, and mutational status for BRAF and NRAS. Agilent microarray platform containing 470 miRNAs was used to determine miRNA expression profiles in 3 normal melanocytes (as non-neoplastic control), 21 melanoma cell lines and 16 clinical samples from fresh frozen regional lymph node metastases. To validate the microarray platform, the expression levels of some miRNAs were evaluated using RT-PCR and the correlation between the two platforms was assessed using Pearson Correlation analysis. The results obtained were further verified and confirmed by RT-PCR in an independent set of melanoma samples. Association between deregulated miRNAs and survival was determined by Univariate Cox proportional hazards model and log rank test.
2010-04-21 | E-GEOD-19387 | biostudies-arrayexpress