Detection of hypoxia inducible/reducible miRNAs in Hepatocellular Carcinoma cells
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE68593 | GEO | 2015/05/06
SECONDARY ACCESSION(S): PRJNA283176
REPOSITORIES: GEO
Similar Datasets
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:Hepatocellular carcinoma is one of the most prevalent and lethal cancers with limited therapeutic options. Pathogenesis of this disease involves tumor hypoxia and the activation of hypoxia inducible factors. In this review, we describe the current understanding of hypoxia signaling pathway and summarize the expression, function and target genes of hypoxia inducible factors in hepatocellular carcinoma. We also highlight the recent progress in hypoxia-targeted therapeutic strategies in hepatocellular carcinoma and discuss further the future efforts for the study of hypoxia and/or hypoxia inducible factors in this deadly disease.
| S-EPMC5542303 | biostudies-literature
Project description:Hypoxia is a common feature of tumor microenvironment (TME), which promotes tumor progression, metastasis and therapeutic drug resistance via a myriad of cell activities in tumor and stroma cells. While targeting hypoxic TME is emerging as a promising strategy for treating solid tumors, preclinical studies with this approach are lacking in hepatocellular carcinoma (HCC). From a genome-wide CRISPR/Cas9 gene knockout screening, we identified aldolase A (ALDOA), a key enzyme in glycolysis and gluconeogenesis, as a master driver for HCC cell growth under hypoxia. To delineate the functional implications of ALDOA in HCC, transcriptome sequencing is performed to interrogate the differential gene expression in ALDOA-knockdown HepG2 cells under hypoxia.
2021-06-28 | GSE168544 | GEO
Project description:The study aims to assess the influence of soluble factors from HCC on MSCs and to investigate the regulatory effect of miRNAs in human adipose- MSCs (hA-MSCs) cultured in HCC microenvironment.The results suggest an interaction between tumor cells and the surrounding stromal components and provide evidence to the direct generation of CAF phenotype upon exposure of hA-MSCs to Huh-7 cancer microenvironment, favoring cancer progression. This might shed the light on the fate of hA-MSCs use in therapy in HCC. hA-MSCs modulation may be achieved via dysregulation of miR17-5P and 615-5p expression. These data suggest that miRNAs may present a new target for HCC treatment.
2022-04-19 | PXD024418 | Pride
Project description:Hypoxia is an important feature of the tumor microenvironment (TME) and is closely associated with cancer metastasis, immune evasion, and drug resistance. However, the precise role of hypoxia in hepatocellular carcinoma (HCC), as well as its influence on the TME, and drug sensitivity remains unclear. In this study, we first utilized unsupervised clustering to distinguish different hypoxic phenotypes in HCC, and signature genes were identified and used to construct a hypoxia-related prognostic score model, Hypoxia_DEGs_Score. We then found the excellent survival prediction value of this prognostic model. In hypoxic HCC, somatic mutation, copy number variation (CNV), and DNA methylation were closely related to hypoxic changes and affected tumorigenesis, progression, metastasis, and drug resistance. In HCC, aggravated hypoxic stress was found to be accompanied by an immune exclusion phenotype and increased infiltration of immunosuppressive cells. In the validation cohort, patients with high Hypoxia_DEGs_Score were found to have worse immunotherapeutic outcomes and prognoses, and may benefit from drugs against cell cycle signaling pathways rather than those inhibiting the PI3K/mTOR pathway. Hypoxia_DEGs_Score can predict the prognosis of HCC patients and has an excellent predictive capability of changes in the TME, the efficacy of immunotherapy, and the response of drugs. Therefore, Hypoxia_DEGs_Score can help develop personalized immunotherapy regimens and improve the prognosis of HCC patients.
2022-05-02 | GSE201868 | GEO
Project description:miRNA microarray expression analysis of Human Bone Marrow Stem Cells from healthy (BM) and end-stage critical limb ischemia (CLI) patients (PZ) in normal and hypoxic conditions
2019-04-25 | GSE125884 | GEO
Project description:Hypoxia-inducible transcription factors (HIFs) are crucial transcription factors for cellular response to low oxygen levels, but the key mediators for their downstream transcription activation are not well characterized. We previously found that PRMT2 activates target gene expression through its methyltransferase activity on histone H3R8. Here we find that PRMT2 expression is activated by HIF1 at hypoxic conditions. And PRMT2 activity is widely required for hypoxia-induced transcription activation. Accordingly, PRMT2 inactivation alleviates hypoxia-induced glioblastoma progression and chemotherapeutic resistance. And PRMT2 expression is associated with hypoxia signature
2024-04-01 | GSE235438 | GEO
Project description:We investigated whether mouse serum autoantibody binding patterns on random-sequence peptide microarrays (immunosignaturing) can be used for diagnosing and predicting the onset of lupus and its central nervous system (CNS) manifestations. Submitter states "We have no processed data to submit. We have no gpr files to submit."
2014-05-08 | GSE57388 | GEO
Project description:In addition to determining possible diagnostic and predictive peptides of lupus and CNS-lupus, we also used our microarray technology along with the Guitope computer program to determine possible natural protein match to five monoclonal autoantibodies that were created using one of the autoimmune MRL/lpr mouse. Submitter states "We have no processed data to submit. We have no gpr files to submit."
2014-05-08 | GSE57389 | GEO