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Expression profile in hepatocellular carcinoma patient paired tissues

ABSTRACT: Expression profile in hepatocellular carcinoma patient paired tissues

PROVIDER: PRJNA656726 | ENA |

REPOSITORIES: ENA

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Transcriptional profile of human liver tissues: hepatocellular carcinoma vs. matched noncancerousliver tissue

Project description:Transcriptional profiling of hepatocellular carcinoma vs. matched noncancerous liver tissue 81 pairs of hepatocellular carcinoma and matched noncancerousliver tissues

2011-02-12 | E-GEOD-27150 | biostudies-arrayexpress

Multi-omics profiling of paired primary and recurrent glioblastoma patient tissues

Project description:Background Despite maximal therapy with surgery, chemotherapy and radiotherapy, glioblastoma multiforme (GBM) patients have a median survival of only 15 months. Almost all patients inevitably experience symptomatic tumor recurrence. A hallmark of this tumor type is the large heterogeneity between patients and within tumors itself which relate to failure of standardized tumor treatment. In this study, tissue samples of paired primary and recurrent GBM tumors were investigated to identify individual factors related to tumor progression. Methods Paired primary and recurrent GBM tumor tissues from 8 patients were investigated with a multi-omics approach using transcriptomics, proteomics and phosphoproteomics. Results In the studied patient cohort, large variations between and within patients are observed for all omics analyses. A few pathways affected at the different omics levels partly overlapped if patients are analyzed at the individual level, such as synaptogenesis (containing the SNARE complex) and cholesterol metabolism. Phosphoproteomics revealed increased STMN1(S38) phosphorylation that relates to ERBB4 signaling. A pathway tool has been developed to visualize and compare the different omics datasets per patient and showed potential therapeutic drugs, such as abobotulinumtoxina and afatinib, that target these affected pathways. Afatinib targeting ERBB4 signaling is currently in clinical trials for GBM. Conclusions Large variation on all omics levels exist between and within GBM patients. Therefore, it will be rather unlikely to find a drug treatment that would fit all patients. Instead a multi-omics approach can be used to identify affected pathways on the individual patient level and select potential treatment options.

2020-11-17 | PXD017952 | Pride

cDNA microarray of hepatocellular carcinoma and nontumor liver tissues

Project description:In order to identify the deregulated genes in hepatocellular carcinama, we applied the Agilent two-color chip cDNA microarray to explore the expression of genes in hepatocellular carcinoma and nontumor liver tissue samples. Hepatocellular carcinoma tissues and nontumor liver tissues were obtained from hepatocellular carcinoma patients during surgery. In these samples, RNA was extracted and cDNA microarray was performed to identify the differentially expressed genes in these samples. Hepatocellular carcinoma tissues and nontumor liver tissues were obtained from hepatocellular carcinoma patients during surgery. We included four hepatocellular carcinoma patients in this study, and there are four nontumor tissues and four hepatocellular carcinoma tissues.

2011-12-23 | E-GEOD-34674 | biostudies-arrayexpress

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