Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA292019 | ENA |
REPOSITORIES: ENA
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Project description:Background and aims: Liver transplantation (LT) is the most radical treatment for hepatocellular carcinoma (HCC) with high rates of long-term survival, but tumor recurrence after LT is an unresolved problem. The aim of our study was to identify predictive markers for tumor recurrence after liver transplantation. Methods: In a retrospective single-center study, we included all patients with LT for HCC in our institution (01/2007-12/2012). Beside demographic data, we analyzed course, bridging therapies, Serum-AFP, time point of tumor recurrence, as well as the correlation of imaging and histopathology of our recipients. Additionally, we performed a microarray analysis to identify different miRNA profiles of patients with and without HCC recurrence after LT. Single assay stem-loop real-time PCR (Q-RT-PCR) was used for validation of the results. Results: During the study period, we performed 92 LT in patients with HCC (22 women, 70 men). Twenty-two (23.9%) patients developed a recurrent HCC after LT. Our subgroup with tumor recurrence after LT, presented with a mean disease-free survival of 10 months (3-55 months) and an overall survival of 25.5 months (4-77 months). Milan criteria, AFP levels and pathologic grading had an influence on the tumor recurrence. Performing miRNA analysis, we could identify significant upregulation of 8 miRNAs and downregulation of another 5 miRNAs in patients with tumor recurrence. Consecutively, array data were successfully validated using Q-RT-PCR. Multivariate Cox regression, ROC analysis and Kaplan-Meier showed that a score consisting of two miRNAs and Milan criteria are an independent predictor for tumor recurrence-free survival. Conclusions: Despite careful selection of patients, an early recurrence of HCC after LT cannot be avoided completely. Reliable prognostic markers related to tumor biology are still missing. Analysis and validation of specific miRNAs combined with radiological parameters might lead to a promising strategy for the prediction of tumor recurrence, but prospective studies have to follow. 8 macrodissected hepatocellular carcinoma (recurrent HCC) and 10 macrodissected hepatocellular carcinoma (non-recurrent HCC).
2016-03-01 | E-GEOD-64989 | biostudies-arrayexpress
Project description:Identification of Recurrence-Related microRNAs in the Bone Marrow of Breast Cancer Patients
| PRJNA118593 | ENA
Project description:Genetic variations play an important role in tumor development and metastasis. Hepatocellular carcinoma (HCC) is one of leading cause of cancer-related death. Despite improvements in surveillance and clinical treatment strategies, the prognosis of HCC remains dismal. Affymetrix SNP 6.0 array were used to evaluate the genetic characteristics of tumor DNA in 30 HBV-related HCC patients who were underwent liver transplantation. Recurrence related SNPs were selected and validated. Affymetrix SNP 6.0 arrays were performed according to the manufacturer's directions on DNA extracted from formalin-fixed paraffin-embedded HCC tissues
2012-10-26 | E-GEOD-29667 | biostudies-arrayexpress
Project description:Genetic variations play an important role in tumor development and metastasis. Hepatocellular carcinoma (HCC) is one of leading cause of cancer-related death. Despite improvements in surveillance and clinical treatment strategies, the prognosis of HCC remains dismal. Affymetrix SNP 6.0 array were used to evaluate the genetic characteristics of tumor DNA in 30 HBV-related HCC patients who were underwent liver transplantation. Recurrence related SNPs were selected and validated.
2012-10-26 | GSE29667 | GEO
Project description:The DNA methylation value in early-stage hepatocellular carcinoma was undetermined. The Illumina Infinium 450k Human DNA methylation Beadchip was used to identify recurrence-related abbrent CpG methylation. This study was performed in a total of 66 early-stage HCC samples, including 29 recurrence samples and 37 recurrence-free samples
2017-04-30 | E-GEOD-75041 | biostudies-arrayexpress
Project description:In this study we investigated the miRNA expression profile of Hepatocellular carcinoma (HCC) specimens from radical resection. We developed a unique 20 miRNA signature that could significantly distinguish HCC venous metastasis from metastasis-free HCC. In contrast to HCC staging systems, this signature was capable of predicting survival and recurrence of HCC patients with multinodular or solitary tumors, including those with early-stage disease. Moreover, the signature was an independent and significant predictor of patient prognosis and relapse when compared to other available clinical parameters. Our study suggests that these 20 miRNAs can enable HCC prognosis and may have clinical utility for the advance identification of HCC patients with a propensity towards metastasis/recurrence. Keywords: disease state design
2008-01-14 | GSE6857 | GEO
Project description:HLA class I ligandome dataset obtained from hepatocellular carcinoma (HCC) as well as corresponding adjacent benign liver tissue (n=16) characterizing respective HLA immunoprecipitates. Additionally, from a subset of the mentioned HCC/ adjacent benign liver samples datasets gained from shotgun protein identification, comprising HCC as well as adjacent benign liver tissue (n=7) are provided. Further, for one patient shotgun protein identification was also performed in serum (blood) samples obtained after HCC recurrence.
2019-05-06 | PXD013057 | Pride
Project description:Liver transplantation (LT) is an optimal treatment for a selected group of hepatocellular carcinoma (HCC) patients. However, about 10%-25% of LT cases develop post-transplant HCC recurrence, which drastically reduces the long-term survival of HCC patients. This study gives an analysis of the recurrent HCC after LT and the corresponding primary tumor. Results provide insight into the molecular mechanisms underlying post-LT HCC recurrence.
2021-08-27 | GSE102759 | GEO
Project description:The prognosis of hepatocellular carcinoma (HCC) after surgery is poor due to its high recurrence rate. Oligonucleotide microarrays were used to analyze the gene expression of HCC patients with differing recurrent-free survival times following resection to see if gene expression can predict recurrence of HCC. Keywords: Disease states analysis
2009-04-24 | GSE11260 | GEO
Project description:Patients with Hepatocellular Carcinoma (HCC) and without HCC used for small read cluster identification and small RNA profiling.
2022-06-01 | E-MTAB-8528 | biostudies-arrayexpress