Integrative omics analysis in HCC samples [mRNA expression]
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE84005 | GEO | 2017/06/21
SECONDARY ACCESSION(S): PRJNA327889
REPOSITORIES: GEO
Similar Datasets
Project description:38 paires of tumor tissues and adjacent non-tumor tissues from HCC patients The number of known lncRNAs increased sharply upon the tiling microarrays and RNA-sequencing were applied to identify lncRNAs. However, only about a dozen of lncRNAs have been well characterized and demonstrated to be tightly associated with development and progression of HCC. A major challenge remains to identify functional lncRNAs associated with HCC. Previous reports mainly selected differentially expressed lncRNAs in cancer tissue or cell lines as candidates for further validation and characterizing. Here, based on mRNA and lncRNA gene expression profiles data collected from tumor and adjacent normal tissues of thirty-eight HCC patients, we adapted integrative omics strategy to identify HCC-associated lncRNAs.
2017-06-21 | GSE84004 | GEO
Project description:To identify HCC-related RNAs, we used four HCC patients’ fresh tumor tissues and paired adjacent non-tumor tissues for RNA sequencing. Differential expression of mRNAs, lncRNAs, circRNAs and miRNAs were then analyzed
2019-06-21 | GSE128274 | GEO
Project description:Downregulations of TCAM1P-004 and RP11-598D14.1 were frequently observed in HCC tumors as compared to adjacent non-tumor tissues. To further study the molecular functions of TCAM1P-004 and RP11-598D14.1, we attempted to identify the gene targets regulated by either lncRNAs. Knockdown of TCAM1P-004 or RP11-598D14.1 were achieved by transduction of lentivirus carrying respective shRNAs in non-tumor hepatocyte MIHA cells. Diffferentially expressed genes after knockdown of the lncRNAs were compared to cells tranduced with lentivirus carrying scramble shRNAs.
2018-10-24 | E-MTAB-7280 | biostudies-arrayexpress
Project description:To explore the potential involvement of lncRNAs in hepatocellular carcinoma (HCC) oncogenesis, we conducted lncRNA and mRNA profiling in 3 pairs of human HCC and adjacent normal tissue (NT) by microarray. With abundant probes accounting for 33,045 lncRNAs and 30,215 coding transcripts in our microarray, the number of lncRNAs and coding transcripts that could be detected here is 10,149 and 14,944, respectively. From the data, thousands of lncRNAs and mRNAs were found to bedifferentially expressed (Fold Change≥2.0) in HCC tissues compared with NT and identified 624 lncRNAs and 1050 mRNAs were differentially expressed in all three HCC tissues.Bioinformatic analysis (gene ontology, pathway and network analysis) was performed for further study of these differentially expressed mRNAs.By qRT-PCR analysis in nineteen pairs HCC and adjacent normal tissues, we found that eightl ncRNAs were aberrantly expressed in HCC compared with corresponding NT, which is consistent with microarray data. Additionally, change trends of seven lncRNAs were basically identical to their nearby coding genes. In this study, to explore the potential involvement of lncRNAs in hepatocellular carcinoma (HCC) oncogenesis, we conducted lncRNA and mRNA profiling in 3 pairs of human HCC and adjacent normal tissue (NT) by microarray.
2014-02-21 | E-GEOD-55191 | biostudies-arrayexpress
Project description:BACKGROUND & AIMS: In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues. METHODS: We assessed 287 HCC patients undergoing resection and tested genome-wide expression platforms using tumor (n = 287) and adjacent nontumor, cirrhotic tissue (n = 226). We evaluated gene expression signatures with reported prognostic ability generated from tumor or cirrhotic tissue in 18 and 4 reports, respectively. In 15 additional patients, we profiled samples from the center and periphery of the tumor, to determine stability of signatures. Data analysis included Cox modeling and random survival forests to identify independent predictors of tumor recurrence. RESULTS: Gene expression signatures that were associated with aggressive HCC were clustered, as well as those associated with tumors of progenitor cell origin and those from nontumor, adjacent, cirrhotic tissues. On multivariate analysis, the tumor-associated signature G3-proliferation (hazard ratio [HR], 1.75; P = .003) and an adjacent poor-survival signature (HR, 1.74; P = .004) were independent predictors of HCC recurrence, along with satellites (HR, 1.66; P = .04). Samples from different sites in the same tumor nodule were reproducibly classified. CONCLUSIONS: We developed a composite prognostic model for HCC recurrence, based on gene expression patterns in tumor and adjacent tissues. These signatures predict early and overall recurrence in patients with HCC, and complement findings from clinical and pathology analyses. Center and peripheral portions of hepatocellular carcinoma tumors as well as surrounding non-tumor cirrhotic liver tissues were obtained from fresh frozen surgically resected tissues, and isolated total RNA samples were analyzed for genome-wide expression profiles.
2014-03-25 | E-GEOD-56140 | biostudies-arrayexpress
Project description:miRNA played an important role in the process of carcinogenesis in HBV related hepatocellular carcinoma. Therefore, we performed miRNA microarray to evaluate the miRNAs that expressed differentially between HCC tumor versus non-tumor liver tissues. RNA was extracted from snap fresh tissue collected from resected HCC tumor and adjacent non-tumor liver tissues. All HCC tumors were HBV-associated HCC.
2015-07-22 | E-GEOD-69580 | biostudies-arrayexpress
Project description:Methylation in Taiwanese HCC tumor and adjacent tissues
| PRJNA167029 | ENA
Project description:To explore the potential involvement of lncRNAs in hepatocellular carcinoma (HCC) oncogenesis, we conducted lncRNA and mRNA profiling in 3 pairs of human HCC and adjacent normal tissue (NT) by microarray. With abundant probes accounting for 33,045 lncRNAs and 30,215 coding transcripts in our microarray, the number of lncRNAs and coding transcripts that could be detected here is 10,149 and 14,944, respectively. From the data, thousands of lncRNAs and mRNAs were found to bedifferentially expressed (Fold Change≥2.0) in HCC tissues compared with NT and identified 624 lncRNAs and 1050 mRNAs were differentially expressed in all three HCC tissues.Bioinformatic analysis (gene ontology, pathway and network analysis) was performed for further study of these differentially expressed mRNAs.By qRT-PCR analysis in nineteen pairs HCC and adjacent normal tissues, we found that eightl ncRNAs were aberrantly expressed in HCC compared with corresponding NT, which is consistent with microarray data. Additionally, change trends of seven lncRNAs were basically identical to their nearby coding genes.
2014-02-21 | GSE55191 | GEO
Project description:BACKGROUND & AIMS: In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues. METHODS: We assessed 287 HCC patients undergoing resection and tested genome-wide expression platforms using tumor (n = 287) and adjacent nontumor, cirrhotic tissue (n = 226). We evaluated gene expression signatures with reported prognostic ability generated from tumor or cirrhotic tissue in 18 and 4 reports, respectively. In 15 additional patients, we profiled samples from the center and periphery of the tumor, to determine stability of signatures. Data analysis included Cox modeling and random survival forests to identify independent predictors of tumor recurrence. RESULTS: Gene expression signatures that were associated with aggressive HCC were clustered, as well as those associated with tumors of progenitor cell origin and those from nontumor, adjacent, cirrhotic tissues. On multivariate analysis, the tumor-associated signature G3-proliferation (hazard ratio [HR], 1.75; P = .003) and an adjacent poor-survival signature (HR, 1.74; P = .004) were independent predictors of HCC recurrence, along with satellites (HR, 1.66; P = .04). Samples from different sites in the same tumor nodule were reproducibly classified. CONCLUSIONS: We developed a composite prognostic model for HCC recurrence, based on gene expression patterns in tumor and adjacent tissues. These signatures predict early and overall recurrence in patients with HCC, and complement findings from clinical and pathology analyses.
2014-03-25 | GSE56140 | GEO
Project description:Purpose: Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-associated mortality worldwide. Although the molecular mechanisms underpinning HCC are unknown, gene copy number and associated mRNA expression changes are frequently reported. Experimental Design: Comparative genomic hybridization arrays spotted with 4,041 bacterial artificial chromosome clones were used to assess copy number changes in 45 HCC tissues to identify chromosomal regions associated with the pathogenesis of HCC. Seventy more HCC tissues were used to validate candidate genes by using western blots and immunohistochemistry. Results: A total of 259 clones were associated with copy number changes that significantly differed between normal liver and HCC samples. The chromosomal region 1q32.1 containing the nuclear casein kinase and cyclin-dependent kinase substrate 1 (NUCKS1) gene was associated with tumor vascular invasion. Western blot analysis demonstrated that NUCKS1 was up-regulated in 37 of 70 (52.8%) HCC tissues compared with adjacent non-tumor tissues, and over-expressed in a vast majority of HCCs (44/52, 84.6%) as determined by immunohistochemical staining. Furthermore, immunostaining of both NUCKS1 and glypican-3 improved the diagnostic prediction of HCC. Knock-down of NUCKS1 by siRNA decreased the cell viability of the Hep3B cell line and reduced tumor formation in a xenograft mouse model. Functional enrichment analysis revealed the association of NUCKS1 with signal transduction, immunity and defense, and nucleotide metabolism pathways. Conclusions: NUCKS1 was identified as a potential oncogene at chromosomal 1q32.1 in patients with HCC, and it might be a valuable immunodiagnostic marker for HCC. Comparative genomic hybridization arrays spotted with 4,041 bacterial artificial chromosome clones were used to assess copy number changes in 45 HCC tissues and 25 normal liver tissues to identify chromosomal regions associated with the pathogenesis of HCC
2015-01-24 | E-GEOD-65237 | biostudies-arrayexpress