GEO DataSets

(Submitter supplied) Background & Aims: Hepatocellular carcinoma (HCC) is the second most lethal cancer due to lack of effective therapies. Although promising, HCC molecular classification, which enriches potential responders to specific therapies, has not yet been assessed in clinical trials of anti-HCC drugs. We aimed to overcome these challenges by developing clinicopathological surrogate indices of HCC molecular classification. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL18976

96 Samples

Download data: TXT

(Submitter supplied) Introduction: Several attempts have been made to expand the indications of liver transplantation for hepatocellular carcinoma (HCC) beyond Milan criteria. We aimed to define genomic features that enable the identification of patients with HCC beyond Milan criteria who have acceptable transplant outcomes. Methods: Among 770 consecutive HCC patients transplanted at Mount Sinai Hospital and Mayo Clinic between 1990 and 2013, 132 had tumors exceeding Milan criteria on pathology and were enrolled in the study. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL14951

132 Samples

Download data: TXT

(Submitter supplied) Hepatocellular carcinoma (HCC) is a highly heterogeneous disease, and prior attempts to develop genomic-based classification for HCC have yielded highly divergent results, indicating difficulty in identifying unified molecular anatomy. We performed a meta-analysis of gene expression profiles in data sets from eight independent patient cohorts across the world. In addition, aiming to establish the real world applicability of a classification system, we profiled 118 formalin-fixed, paraffin-embedded tissues from an additional patient cohort. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4269

Platform:

GPL3921

4 Samples

Download data: CEL

(Submitter supplied) Hepatocellular carcinoma (HCC) is a highly heterogeneous disease, and prior attempts to develop genomic-based classification for HCC have yielded highly divergent results, indicating difficulty in identifying unified molecular anatomy. We performed a meta-analysis of gene expression profiles in data sets from eight independent patient cohorts across the world. In addition, aiming to establish the real world applicability of a classification system, we profiled 118 formalin-fixed, paraffin-embedded tissues from an additional patient cohort. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5474

118 Samples

Download data: TXT

Analysis of Hepatocellular carcinoma (HCC) Huh-7 cells stimulated with transforming growth factor-beta (TGF-β). HCC cell line Huh-7 has intact WNT pathway components. Results provide insight into the role of TGF-β in regulating WNT pathway activity in HCC cells.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 agent sets

Platform:

GPL3921

Series:

GSE10393

4 Samples

Download data: CEL

(Submitter supplied) We used Affymetrix microarray profiling to analyze gene expression patterns in healthy donor liver as well as tumor and paired non-tumor tissue of HCC patients.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL3921 GPL571

488 Samples

Download data: CEL, TXT

(Submitter supplied) We used array-based comparative genomic hybridization (arrayCGH) of 76 hepatocellular carcinomas (HCCs) to search for genetically disrupted genes.

Organism:

Homo sapiens

Type:

Genome variation profiling by array

Platform:

GPL4093

76 Samples

Download data: TXT

(Submitter supplied) The variability in the prognosis of hepatocellular carcinoma (HCC) patients suggests that HCC may comprise several distinctive biological phenotypes. These phenotypes may result from different neoplastic pathways during the tumorigenesis and/or from a different cell of origin. Here we address if the transcriptional characteristics of the HCC would provide insight into the cellular origin of the tumors. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL1528

98 Samples

Download data

(Submitter supplied) Global gene expression patterns of 91 human hepatocellular carcinomas (HCC) were analyzed to define the molecular characteristics of the tumors and to test the prognostic value of the expression profiles. Total RNAs were isolated from frozen liver tissue using CsCl density gradient centrifugation methods. Total RNA from 18 normal livers were pooled and used as reference in entire microarray experiments. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL1528

182 Samples

Download data

(Submitter supplied) Hepatocellular carcinoma (HCC) is a heterogeneous disease, and despite considerable research efforts, no molecular classification of HCC has been introduced in clinical practice. The existing molecular classification systems were established using resected tumors, which introduces a selection bias towards patients without liver cirrhosis and with early stage HCCs. So far, these classification systems have not been validated in liver biopsy specimens from tumors diagnosed at intermediate and late stages. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

125 Samples

Download data: CEL

(Submitter supplied) The aim of this study is to identify by Next Generation Sequencing - RNA-seq profiling a molecular signature of Hepatocellular Carcinoma samples that correlates with survival. The samples were retrospectively derived from hepatocellular carcinoma tissue as well as non-tumor tissue from the livers of the same patients. The bioinformatical analysis of 32 pairs RNA-seq datasets were obtained from human RNAs on Illumina Hiseq-PE150. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

64 Samples

Download data: XLS

(Submitter supplied) Immune checkpoint inhibitors elicit durable antitumor effects in multiple cancers, yet not all patients respond. Here, we aimed to develop and validate a molecular classification of hepatocellular carcinoma (HCC) patients based on 42 fatty acid degradation genes and demonstrate its predictive ability in the clinical response of anti-PD1 therapy in HCC patients. We studied global mRNA expression profiles from 41 primary tumor tissues and 25 nontumor tissues derived from 41 HCC patients. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

66 Samples

Download data: TXT