Impact of exosomal miR-92b in hepatocellular carcinoma: its role for cancer immunoediting and clinical value for prognosis
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ABSTRACT:
ORGANISM(S): Rattus norvegicus
PROVIDER: GSE121357 | GEO | 2018/12/31
REPOSITORIES: GEO
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Project description:Circular RNAs (circRNAs) are recently found to be promising kind of biomarkers for tumors. However, plasma exosomal circRNAs in the diagnosis of hepatocellular carcinoma (HCC) is largely unknown. In this study, we report the application of next-generation sequencing technology for high-throughput profiling of plasma exosome general transcriptome between 3 cases of hepatocellular carcinoma patients and 3 cases of healthy control. We obtained exosomes through ultrahigh-speed centrifugation techniques and verified exosomes through immunoblotting, NanoSight NS300(Malvern Panalytical, Malvern, UK) and JEM-1230 transmission electron microscope (TEM) (JEOL, Tokyo, Japan). And then, we find that there are 41 circRNAs that have differential expression. This study discovered the differences between hepatocellular carcinoma and healthy people preliminarily.
2023-09-30 | GSE174179 | GEO
Project description:Background - Hepatocellular carcinomas (HCCs) are heterogeneous tumors with respect to etiology, cell of origin and biology. The course of the disease is unpredictable and is in part dependent on the tumor microenvironment. One of the microenvironmental factors is hypoxia, which is known to promote aggressiveness in other malignant tumors. We hypothesized that certain regions in HCC exist with chronic hypoxia and a characteristic gene expression pattern. Moreover, during the development of HCC there is an important contribution of this chronic hypoxia on prognosis via this gene expression. Until now, most research has been performed in acute hypoxic models (< 24 hours). Methods – Human hepatoblastoma cells HepG2 were cultured in either normoxic (20% O2) or hypoxic (2% O2) conditions for 72 hrs, the time it takes to adapt to chronic hypoxia. After 3 days the cells were harvested and analyzed by microarray technology. The highly significant differentially expressed genes were selected and used to assess the clinical value of our in vitro chronic hypoxia gene signature in four published patient studies. Three of these independent microarray studies on HCC patients were used as training sets to determine a minimal prognostic gene set and one study was used for validation. Gene expression analysis and correlation with clinical outcome was assessed with the bioinfomatic method of Goeman et al (). Results – In the HepG2 cells, 3592 genes were differentially expressed in cells cultured at 2% oxygen for 72 hrs. Out of these, 265 showed a high significant change (2-fold change and p=0.0001). The level of gene expression after 72 hrs was different from the acute hypoxic response (during the first 24 hours) and represented chronicity. Using computational methods we identified 7 out of the 265 highly significant genes that showed correlation with prognosis in all three different training sets and this was independently validated in a 4th dataset. With our approach we could include the largest number of HCC patients in one single study. Conclusion – We identified a 7-gene signature, which is associated with chronic hypoxia and predicts prognosis in patients with HCC. In the future this signature could be used as a diagnostic tool. In addition, chronic hypoxia gene expression information can be used in the search for new therapeutic targets. Two conditions were compared and each sample has a biological replicate. Samples are hybridized in dye-swap, resulting in 4 hybridizations.
2010-07-20 | E-GEOD-15366 | biostudies-arrayexpress
Project description:Background - Hepatocellular carcinomas (HCCs) are heterogeneous tumors with respect to etiology, cell of origin and biology. The course of the disease is unpredictable and is in part dependent on the tumor microenvironment. One of the microenvironmental factors is hypoxia, which is known to promote aggressiveness in other malignant tumors. We hypothesized that certain regions in HCC exist with chronic hypoxia and a characteristic gene expression pattern. Moreover, during the development of HCC there is an important contribution of this chronic hypoxia on prognosis via this gene expression. Until now, most research has been performed in acute hypoxic models (< 24 hours). Methods – Human hepatoblastoma cells HepG2 were cultured in either normoxic (20% O2) or hypoxic (2% O2) conditions for 72 hrs, the time it takes to adapt to chronic hypoxia. After 3 days the cells were harvested and analyzed by microarray technology. The highly significant differentially expressed genes were selected and used to assess the clinical value of our in vitro chronic hypoxia gene signature in four published patient studies. Three of these independent microarray studies on HCC patients were used as training sets to determine a minimal prognostic gene set and one study was used for validation. Gene expression analysis and correlation with clinical outcome was assessed with the bioinfomatic method of Goeman et al (). Results – In the HepG2 cells, 3592 genes were differentially expressed in cells cultured at 2% oxygen for 72 hrs. Out of these, 265 showed a high significant change (2-fold change and p=0.0001). The level of gene expression after 72 hrs was different from the acute hypoxic response (during the first 24 hours) and represented chronicity. Using computational methods we identified 7 out of the 265 highly significant genes that showed correlation with prognosis in all three different training sets and this was independently validated in a 4th dataset. With our approach we could include the largest number of HCC patients in one single study. Conclusion – We identified a 7-gene signature, which is associated with chronic hypoxia and predicts prognosis in patients with HCC. In the future this signature could be used as a diagnostic tool. In addition, chronic hypoxia gene expression information can be used in the search for new therapeutic targets.
2010-07-20 | GSE15366 | GEO
Project description:Impact of exosomal miR-92b in hepatocellular carcinoma: its role for cancer immunoediting and clinical value for prognosis
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Project description:We investigated the genomic enhancer landscape of Hepatocellular Carcinoma (HCC) using H3K27ac ChIP-seq and HiC/HiChIP data from resected tumour samples of 30 patients, whose genome, transcriptome, and clinical trajectory data were available. Differential enhancer analysis revealed dysregulated enhancer loci, but without strong enrichment of underlying DNA mutation hotspots. As many of the gain-in-tumour enhancer associated genes were fetal liver hepatoblast genes, we investigated the stochastic expression pattern of the overlapping genes (epigenetic oncofetal genes) using previously published single cell RNA-seq data, in which the patients partially overlapped. The proportion of cells expressing epigenetic oncofetal genes clustered liver tissue samples into two groups - adjacent normal liver-like, or oncofetal-like. Notably, gain-in-tumour enhancer associated genes showed prognostic value, with patient clusters revealed by co-clustering the differential gene expression pattern. Altogether, we report the genomic enhancer signature that associates with differential prognosis in HCC. Findings that cohere with oncofetal reprogramming in HCC is underpinned by genome-wide enhancer rewiring. Our results present the epigenetic changes in HCC that offer the rational selection of epigenetic-driven gene targets for therapeutic intervention or disease prognostication in HCC.
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Project description:Long noncoding RNAs (lncRNAs) have been substantially reported to have critical roles in regulating tumorigenesis recent years. However, the expression pattern and biological function of SNHG17 in hepatocellular carcinoma (HCC) remain unclearly. Bioinformatics analysis and qRT-PCR were performed to detect the expression pattern of SNHG17 in HCC tissues, adjacent non-tumorous tissues and cell lines. The effect of SNHG17 on proliferation, migration and apoptosis of HCC were investigated by knockdown and overexpressing SNHG17 in HCC cell lines. RNA sequencing was utilized to explore the underlying mechanism. Utilizing publicly available TCGA-LIHC, GSE102079 HCC datasets and qRT-PCR, we found SNHG17 was significantly upregulated in HCC tissues and cell lines and was notably associated with larger tumor size, poorly differentiation, presence of vascular invasion and advanced TNM stage. Furthermore, gain- and loss-of-function studies demonstrated that SNHG17 promoted cell proliferation, migration and inhibited apoptosis of HCC. By employing RNA sequencing, we found knockdown of SNHG17 caused 1037 differentially expressed genes, highly enriched in several pathways, including metabolic, PI3K-Akt, cell adhesion, regulation of cell proliferation and apoptotic pathway, among them 92 were overlapped with SNHG17-related genes in TCGA-LIHC dataset. Furthermore, ERH, TBCA, TDO2 and PDK4 were successfully validated and found significantly dysregulated in HCC tissues. Moreover, HCC patients with higher SNHG17 expression had a relatively poor overall survival and disease-free survival and ERH, PDK4 also played markedly role in prognosis of HCC. Broadly, our findings illustrate that SNHG17 acts as a noncoding oncogene in HCC progression, suggesting its potential value as a novel target for HCC therapy.
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Project description:The post-translational modification of lysine acetylation is related to hepatocellular carcinoma (HCC), and understanding this relationship requires detailed knowledge about the acetylated proteome in HCC tissue and about differences in protein acetylation between cirrhosis and liver cancer. Here we characterized the acetylome in three paired sets of cirrhotic tissue and hepatitis B-related HCC tissue. Combining affinity-based enrichment of acetylated peptides with highly sensitive mass spectrometry, we identified 1493 acetylation sites in 777 proteins and quantified 1040 acetylation sites in 587 proteins. We discovered that the histone acetyltransferases p300 and CBP were hyperacetylated in HCC and cirrhosis but not in normal liver tissue. We also identified several proteins acetylated at more than 10 lysines in HCC and cirrhosis. In addition, our results revealed that HCC was associated with up-regulation of acetylation at 353 sites in 237 proteins and down-regulation of acetylation at 209 sites in 122 proteins. We validated our results using western blotting and immunohistochemistry. Validation with an independent set of clinical samples confirmed our initial screening result that acetylation of lysine 120 in histone H2B type 1-C/E/F/G/I and lysine 18 in histone H3.3 was significantly associated with survival of HCC patients. Acetylation of lysine 77 in histone H4 was associated with survival as well as recurrence. Our study provides numerous new leads to examine the role of acetylation in HCC and its potential as a prognostic marker as well as therapeutic target.
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Project description:To develop diagnostic and prognostic biomarkers, we compared methylation profiles of HCC tissues and normal blood by analyzing 485,000 CpG markers and identified a HCC enriched methylation marker panel compared to that of normal blood. We found there was a highly correlation of methylation profiles between DNA from HCC cancer tissue and matched plasma ctDNA within the same patient. We then selected 10 markers from this panel and created a combined diagnosis score (cd-score) which showed high diagnostic specificity and sensitivity in both a training cohort and an independent validation cohort. We also showed the cd-score correlate highly with tumor load, treatment response and stage and is superior to that by AFP. We also showed the cd-score correlate highly with tumor load, treatment response and stage and is superior to that by AFP. Additional, we generated 8 markers from unicox and LASSO-cox analysis and created a combined prognosis score (cp-score) which could predict prognosis and survival. Together, these findings demonstrated the utility of ctDNA methylation markers in the diagnosis, treatment evaluation and prognosis of HCC.
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