Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA192897 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Proteomic characterization of human hepatocellular carcinoma (HCC) tumor biopsies
2024-06-05 | E-PROT-142 | ExpressionAtlas
Project description:Gene expression profiles from the hepatocellular carcinoma (HCC) tissues
2025-01-24 | E-GEOD-33006 | ExpressionAtlas
Project description:There are significant differences in the expression of genes that regulate metabolic pathways in HCC as compared to Cirrhosis or non-tumor liver tissues. These charcteristic pathways can be exploited for metabolic imaging biomarkers of HCC. We used microarrays to perform genome-wide association study expression in human Grade III hepatocellular carcinoma and surrounding tissues.
2017-08-25 | GSE45050 | GEO
Project description:Hepatocellular carcinoma (HCC) is the fifth most-common cancer worldwide causing nearly 600,000 deaths esch year. Approximately 80% of HCC develops on the background of cirrhosis.It is necessary to identify novel genes involved in HCC to implement new diagnostic and treatment options. However, the molecular pathogenesis of HCC largely remains unsolved. Only a few genetic alterations, namely those affecting p53, β-catenin and p16INK4a have been implicated at moderate frequencies of these cancers. Early detection of HCC with appropriate treatment can decrease tumor-related deaths We used microarrays to detail the global programme of gene expression profiles of cirrhosis and tumor liver samples. 15 cirrhosis and 15 HCC samples were collected with informed constent of each patient. Surgically resected tissues were snap frozen in liquid nitrogen and stored at -80C, and subjected to RNA extraction. Histology slides were prepared for all samples and scored by an experienced scientist. For the tumor samples, tissues were resected from inside the tumor, while tissues were resected from adjacent tissue sorrounding the tumor for non-tumor samples.
2013-05-23 | E-GEOD-17548 | biostudies-arrayexpress
Project description:The role of chronic hepatitis C virus (HCV) in the pathogenesis of HCV-associated hepatocellular carcinoma (HCC) is not completely understood, particularly at the molecular level. We studied gene expression in normal, pre-malignant (cirrhosis), and tumor (HCC) liver tissues using Affymetrix GeneChips. Keywords: cross-sectional
2009-01-08 | GSE14323 | GEO
Project description:RMA expression data for liver samples from subjects with HCV cirrhosis with and without concomitant HCC
2025-01-24 | E-GEOD-17967 | ExpressionAtlas
Project description:Background: Several studies have investigated the association of miRNAs with hepatocellular carcinoma (HCC) but the data are not univocal. Methods: We performed a microarray study of miRNAs in hepatitis C virus (HCV)-associated HCC and other liver diseases and healthy conditions. Results and Conclusions: The simultaneous comparison of different liver diseases and normal livers allowed the identification of 18 miRNAs exclusively expressed in HCV-associated HCC, with sensitivity and specificity values of diagnostic-grade. A total number of 76 liver specimens obtained from 43 patients were analyzed: 26 liver specimens obtained from 10 patients with HCV-associated HCC, including 9 specimens from the tumor area (HCC) and 17 specimens from the surrounding non-tumorous tissue affected by cirrhosis (HCC-CIR); 18 specimens from 10 patients with HCV-associated cirrhosis without HCC (CIR); 13 specimens from 4 patients with HBV-associated acute liver failure (ALF); 12 specimens from 12 liver donors (LD); and 7 from normal liver of 7 subjects who underwent hepatic resection for liver angioma (NL).
2013-02-20 | E-GEOD-40744 | biostudies-arrayexpress
Project description:The role of chronic hepatitis C virus (HCV) in the pathogenesis of HCV-associated hepatocellular carcinoma (HCC) is not completely understood, particularly at the molecular level. We studied gene expression in normal, pre-malignant (cirrhosis), and tumor (HCC) liver tissues using Affymetrix GeneChips. Experiment Overall Design: Liver tissue samples were obtained from patients waiting for liver transplantation at one of the GR2HCC Centers. Additionally, normal liver and tumor samples were also obtained from the Liver Tissue Cell Distribution System. For each sample, RNA was extracted and hybridized to an Affymetrix GeneChip.
2009-01-18 | E-GEOD-14323 | biostudies-arrayexpress
Project description:We evaluated the expression of known human miRNAs in human hepatocellular carcinoma (HCC) and normal hepatic tissues from southeast China, and identified the differentially expressed miRNAs in HCC tissues. We use microRNA array platform from CapitalBio Corp. to access the miRNA expression profiles in HCC and non-tumor liver samples from Southeast China. There were 5 HCC samples and 3 non-tumor liver samples in our study. As the microarray platform we used was based on a older version of miRBase, we mapped the probe sequences to a newer version of miRBase before these data was applied to further analysis.
2010-05-19 | E-GEOD-12717 | biostudies-arrayexpress
Project description:Background: It is a challenge to identify those patients who, after undergoing potentially curative treatments for hepatocellular carcinoma, are at greatest risk of recurrence. Such high-risk patients could receive novel interventional measures. An obstacle to the development of genome-based predictors of outcome in patients with hepatocellular carcinoma has been the lack of a means to carry out genomewide expression profiling of fixed, as opposed to frozen, tissues. Methods: We aimed to demonstrate the feasibility of gene-expression profiling of more than 6000 human genes in formalin-fixed paraffin-embedded tissues. We applied the method to tissues from 307 patients with hepatocellular carcinoma, from four series of patients, to discover and validate a gene-expression signature associated with survival. Results: The expression-profiling method for formalin-fixed, paraffin-embedded tissue was highly effective: samples from 90% of the patients yielded data of high quality, including samples that had been archived for more than 24 years. Gene-expression profiles of tumor tissue failed to yield a significant association with survival. In contrast, profiles of the surrounding nontumoral liver tissue were highly correlated with survival in a training set of 82 Japanese patients, and the signature was validated in tissues from an independent group of 225 patients from the United States and Europe (p = 0.04). Conclusions: We have demonstrated the feasibility of genomewide expression profiling of formalin-fixed, paraffin-embedded tissues and have shown that a reproducible gene-expression signature correlating with survival is present in liver tissue adjacent to the tumor in patients with hepatocellular carcinoma. This SuperSeries is composed of the following subset Series: GSE10140: Gene Expression in Fixed Tissues and Outcome in Hepatocellular Carcinoma (Training Set, Liver) GSE10141: Gene Expression in Fixed Tissues and Outcome in Hepatocellular Carcinoma (Training Set, HCC) GSE10142: Gene Expression in Fixed Tissues and Outcome in Hepatocellular Carcinoma (Validation Set) Keywords: Hepatocellular carcinoma, Expression array, Illumina, Signatures, Outcome prediction Training cohort: 80 tumor and 82 non-tumor liver tissues surgically resected from patients with hepatocellular carcinoma (HCC); Validation cohort: 225 non-tumor liver tissues surgically resected from patients with HCC. Clinical data has been withheld from GEO due to privacy concerns.
2010-05-20 | E-GEOD-10143 | biostudies-arrayexpress