Project description:To identify the role of miRNAs in patient bone marrow (BM) and explore the function of these molecules during HCC progression, we employed microarray-based profiling to analyze miRNA expression in the BM of patients with HCC. MicroRNA expression in the BW of HCC patients was measured by using microarray-based profiling. BM cells were separated into 3fraction by cell surface markers as follows: CD45+(macrophage), CD14-/CD45+(lymphocyte) and CD14-/CD45-/EpCAM+(epithelial cell).

2015-08-06 | E-GEOD-71762 | biostudies-arrayexpress

Primary and adjacent non-malignant tissue samples of 100 HCC patients (miRNA)

Project description:Genome-wide miRNA expression profiles of 100 primary and matched non-malignant tissues of HCC patients from a Singapore patient cohort. HCC is a hetergenous disease and it is important to understand the underlying molecular mechanisms. Here, we studied the role of microRNAs in HCC by integrating microRNA and gene expression profiles of HCC patients.

2016-02-18 | GSE62007 | GEO

Hepatocellular Carcinoma (HCC) biomarker discovery cohort for small RNA profiling

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

Identification of novel serum biomarkers in early-stage HCC patients.

Project description:Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide, and is the one of the few cancers in which a continued increase in incidence has been observed over several years. HCC associated with chronic liver disease evolves from precancerous lesion and early HCC to overt cancer, and identifying key molecules contributing to early stage HCC is an urgent need. α-Fetoprotein (AFP) is the best serum biomarker for diagnosis of HCC, but sensitivity is low, particularly in detection of early-stage HCC. Therefore, novel and reliable diagnostic biomarkers to complement AFP are needed to improve HCC diagnosis. We aim to determine transcriptome-based molecular signature of multistep hepatocarcinogenesis, and to identify novel serum biomarkers to diagnose early stage HCC patient.

2020-12-31 | GSE114564 | GEO

Activation of beta-catenin in hepatocellular carcinoma (HCC patients)

Project description:CTNNB1 is the most frequently mutated gene in hepatocellular carcinoma (HCC). However, its clinical relevance remains controversial. We determined an evolutionarily conserved β-catenin signature by comparative analysis of gene expression data from human HCC and a mouse model (GSE43628). We generated gene expression data from the tumors of 88 HCC patients who underwent surgical resection as the primary treatment. We used these gene expression data to develop a new prognostification model for prognosis of HCC after surgery. We generated gene expression data from the tumors of 88 HCC patients who underwent surgical resection as the primary treatment.

2015-05-21 | E-GEOD-43619 | biostudies-arrayexpress

Unique MicroRNA Expression Signature Predicts Survival, Metastases and Recurrence of HCC

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

Identification of the serum microRNAs (miRNAs) displaying differential levels between hepatocellular carcinoma (HCC) patients and chronic hepatitis B (CHB) controls

Project description:To identify serum miRNAs for the diagnosis of HCC, the profiling of 754 human miRNAs was analyzed in sera from six histopathologically confirmed HCC patients and eight CHB controls, using TaqMan Array Human MicroRNA A+B Cards Set v3.0 (Applied Biosystems, Foster City, CA). Serum miRNAs with differential levels between HCC and CHB were identified by comparing serum miRNA profiling of HCC patients with that of CHB controls.

2016-02-01 | GSE65708 | GEO

LncRNA expression profiles of 59 tumorous liver tissues derived from patients with hepatocellular carcinoma (HCC)

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.

2012-08-16 | GSE40144 | GEO

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