Similar Datasets
Project description:LncRNA profiling of hepatocellular carcinoma vs. matched noncancerous liver tissue, aimed to analyze the lncRNA expression profile of hepatocellular carcinoma (HCC) and identify prognosis-related lncRNAs.
2023-06-25 | GSE72170 | GEO
Project description:Hepatocellular carcinoma (HCC) is one of the most malignant and lethal cancers in the world. Its complex process of molecular pathogenesis indicates that HCC is caused by multiple etiological factors and involves multiple types of genes during its development and progression. In the current study, we performed a microarray analysis on the mRNA transcriptome of HCC (C), peri-cancerous liver (P) and normal liver (N) tissues. After integrating these results with information from the Gene Ontology and KEGG Pathway databases, we analyzed the potential interactions between different genes and constructed an interaction network, and identified the regulator, mediator and effector genes in this interaction network. Three types of tissues: 49 pairs of homogenous human primary hepatocellular carcinoma (Cancer, C) and pericancer liver tissues (Pericancer, P), 10 normal liver tissues (Normal, N). Three-condition experiment, HCC vs. Normal and Pericancer vs. Normal.
2013-03-14 | E-GEOD-45114 | biostudies-arrayexpress
Project description:The expression of long non-coding RNAs - lncRNAs - was profiled in the liver cancer Hepatocellular Carcinoma - HCC - and in normal liver tissues using the Invitrogen NCode Human lncRNA Array Platform.
2018-07-31 | GSE113850 | GEO
Project description:microRNA profiling of hepatocellular carcinoma vs. matched noncancerous liver tissue 166 pairs of hepatocellular carcinoma and matched noncancerous liver tissues
2011-08-15 | E-GEOD-31384 | biostudies-arrayexpress
Project description:Long noncoding RNAs (lncRNAs) are a class of non-coding RNAs longer than 200 nt that function in endogenous gene regulation and tumorigenesis. Hepatocellular carcinoma (HCC) is a heterogeneous disease with different treatment outcome. It is a challenge to develop a prognostic marker to identify HCC patients who are at greatest risk for recurrence or death. In this study, we try to screen lncRNAs whose expression levels are associated with recurrence or death of HCC patients through an extensive lncRNA profiling study on a cohort of 59 HCC patients. For these experiments, we used RNA extracted from 59 HCC tissues and 20 normal livers. Total RNAs from the 20 normal livers were pooled and used as a reference for all microarray experiments. For each microarray experiment, Cy5-labeled probes derived from the DNase-treated total RNA from each HCC sample was hybridized against Cy3-labeled probes derived from common reference on Arraystar Human LncRNA Microarray (Arraystar, Rockville, USA). LncRNAs whose expression was significantly associated with disease-specific survival and time to recurrence were selected based on microarray data. The univariate Cox proportional hazards model was used to assess the association of lncRNAs with survival. We computed a statistical significance level (P value) for two endpointsM-bM-^@M-^Tthe time to cancer-related death and time to recurrence, based on univariate Cox proportional hazards models in BRB-ArrayTools version 4.2.0.
2012-08-16 | E-GEOD-40144 | 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. 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.
2010-05-18 | E-GEOD-10140 | biostudies-arrayexpress
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: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
Project description:The tumor microenvironment (TME) plays an important role in tumorigenesis1. The TME is usually studied in tumor tissue and in relation to tumor progression2,3, which can limit understanding of how the TME is involved in processes associated with initial tumorigenesis as well as tumor recurrence and metastasis after surgery. To describe the underlying mechanisms of human hepatocellular carcinoma (HCC) occurrence and progression, we propose a new concept, the peritumor microenvironment (PME). We collected normal (all biochemical indicators of liver function, imaging examination and histopathology examination were normal) and peritumor (The liver tissues adjacent to the tumor were approximately 2 cm away from the tumor and were taken from patients with HCC who did not receive tumor radiotherapy, tumor chemotherapy or targeted drug therapy before surgery) to perform a proteomic characterization of the PME in peritumor liver tissues.
2022-02-22 | PXD023118 | Pride
Project description:Hepatocellular carcinoma (HCC) remains a major health problem worldwide, and HCC patients have a poor prognostic outcome. In this study, we systematically disclose mechanisms of hepatocarcinogenesis, and also effectively identify and validate novel anticancer targets in HCCs. Keywords: disease state analysis total 58 cDNA microarrays, all experiment samples are hepatocellular carcinoma. RNAs from 33 corresponding noncancerous livers and 5 normal livers were used as the reference, respectively. The tumor samples were labeled with Cy5-dUTP.The nontumor samples were labeled with Cy3-dUTP.
2009-01-06 | E-GEOD-4108 | biostudies-arrayexpress