Identification of differentially expressed microRNAs between human HCC tumors with and without vascular invasion
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PROVIDER: PRJNA279099 | ENA |
REPOSITORIES: ENA
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Project description:Non-coding microRNAs (miRNAs) mainly regulate the expression of targeted genes by regulating mRNA degradation or repressing their protein translation. Recent research has shown miRNAs to have remarkable potential as biomarkers for the diagnosis and prognosis of disease. Since vascular invasion (VI) provides a direct path for solid tumor metastasis/recurrence, in this study we investigated if miRNAs can serve as a biomarker to differentiate between VI- and VI+ tumors. MiRNA microarray profiling was then performed on 172 human HCC tumors samples with or without VI from HCC patients.
2015-03-23 | GSE67139 | GEO
Project description:Non-coding microRNAs (miRNAs) mainly regulate the expression of targeted genes by regulating mRNA degradation or repressing their protein translation. Recent research has shown miRNAs to have remarkable potential as biomarkers for the diagnosis and prognosis of disease. Since vascular invasion (VI) provides a direct path for solid tumor metastasis/recurrence, in this study we investigated if miRNAs can serve as a biomarker to differentiate between VI- and VI+ tumors. MiRNA microarray profiling was then performed on 172 human HCC tumors samples with or without VI from HCC patients.
2015-03-23 | GSE67138 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2015-03-23 | GSE67140 | GEO
Project description:Background: The presence of vascular invasion (VI) in pathology specimens has been widely described as closely linked to poor outcome in hepatocellular carcinoma (HCC) patients after tumor resection. Previous attempts have been conducted to achieve molecular markers or signatures to predict HCC recurrence in HCC. Here, we aim to develop a diagnostic model combining clinical and genomic variables able to detect the presence of VI prior to surgery and link it to survival estimation. Methods: Seventy-nine HCV related HCC samples from patients that underwent surgical resection as a treatment for HCC were subjected to Genome-wide gene expression profiling and a predictive model of vascular invasion was constructed. The model was tested in an independent-validation set of 153 fixed tissue samples of resected HCC. Quantitative RTPCR and inmunohistochemistry were performed in HCC samples to test a potential biomarker. Results: A 39-gene signature was able to accurately (72%) identify vascular invasion in HCC patients treated with resection. A model including tumor size and the signature is able to predict presence of VI with 85% accuracy in HCV-related HCC patients, and is able to exclude VI in up to 87% cases in HCC from all etiologies. Conclusions: Using the VI gene signature together with tumor size, VI can be successfully detected in HCC patients. The diagnostic model, integrated in a previously reported survival chart is able to provide an estimated survival for selected cases. Clinical implications of this fact are relevant to provide objective data to further apply expanded indication of curative treatments in HCC. Gene-expression profiling was performed using formalin-fixed, paraffin-embedded hepatocellular carcinoma tissues obtained at the time of surgical resection.
2011-07-30 | E-GEOD-20017 | biostudies-arrayexpress
Project description:Background: The presence of vascular invasion (VI) in pathology specimens has been widely described as closely linked to poor outcome in hepatocellular carcinoma (HCC) patients after tumor resection. Previous attempts have been conducted to achieve molecular markers or signatures to predict HCC recurrence in HCC. Here, we aim to develop a diagnostic model combining clinical and genomic variables able to detect the presence of VI prior to surgery and link it to survival estimation. Methods: Seventy-nine HCV related HCC samples from patients that underwent surgical resection as a treatment for HCC were subjected to Genome-wide gene expression profiling and a predictive model of vascular invasion was constructed. The model was tested in an independent-validation set of 153 fixed tissue samples of resected HCC. Quantitative RTPCR and inmunohistochemistry were performed in HCC samples to test a potential biomarker. Results: A 39-gene signature was able to accurately (72%) identify vascular invasion in HCC patients treated with resection. A model including tumor size and the signature is able to predict presence of VI with 85% accuracy in HCV-related HCC patients, and is able to exclude VI in up to 87% cases in HCC from all etiologies. Conclusions: Using the VI gene signature together with tumor size, VI can be successfully detected in HCC patients. The diagnostic model, integrated in a previously reported survival chart is able to provide an estimated survival for selected cases. Clinical implications of this fact are relevant to provide objective data to further apply expanded indication of curative treatments in HCC.
2011-07-31 | GSE20017 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE9843: Gene expression profiling of 91 hepatocellular carcinomas with hepatitis C virus etiology, Samples with "vascular invasion: Yes/No" were included in the study. GSE20017: Gene Signature to Identify Vascular Invasion in Hepatocellular Carcinoma Refer to individual Series
2011-07-30 | E-GEOD-20238 | biostudies-arrayexpress
Project description:Vascular invasion is considered as the critical risk factors for tumor recurrence of hepatocellular carcinoma (HCC). To reveal the molecular mechanisms underlying macrovascular invasion (MaVI) and metastasis in HCC, we performed an iTRAQ based proteomic study to identify notably dysregulated proteins in 53 HCC patients with differential vascular invasion. In patients with MaVI, 47 proteins were significantly down-regulated in HCC tumor tissue. More importantly, 30 of them were not changed in HCC without MaVI. Gene ontology analysis of these 47 proteins shows the top 3 enriched pathways are urea cycle, gluconeogenesis and arginine biosynthetic process. We validated 9 remarkably dysregulated candidates in HCC patients with MaVI by Western blot, including 8 down-regulated proteins (CPS1, ASS1, ASL, ARG1, BHMT, DMGDH, Annexin A6 and CES1) and 1 up-regulated protein (CKAP4). Furthermore, dysregulation of CPS1, ASL and ARG1, key enzymes involved in urea cycle, together with Annexin A6 and CES1, major proteins in regulating cholesterol homeostasis and fatty acid ester metabolism were verified using immunohistochemical staining. The significant down-regulation of urea cycle generates clinically relevant proteomic signature in HCC patients with macrovascular invasion, which may provide possible insights into the molecular mechanisms of metastasis and new therapeutic targets of HCC.
2022-03-02 | PXD011846 | Pride
Project description:Global expression profiling of miRNAs in liver tissue of HBV infected HCC and chronic hepatitis B (CHB) with no fibrosis was evaluated. A total of 40 differentially expressed miRNAs were identified in HCC. Top 10 miRNAs are validated in more numbers of HCC tisuues by qRT PCR. Finally six miRNAs (miR-15a, miR-16, miR-21,miR-29b-3p, miR-126, miR-142-3p, miR-193a-5p) showed similar expression pattern in both microarray and qRT PCR Differential expression analysis of microRNAs in HBV infected HCC (n=4) compared to CHB patients with no fibrosis (n=8) as control.
2015-04-15 | E-GEOD-67882 | biostudies-arrayexpress
Project description:Global expression profiling of miRNAs in liver tissue of HBV infected HCC and chronic hepatitis B (CHB) with no fibrosis was evaluated. A total of 40 differentially expressed miRNAs were identified in HCC. Top 10 miRNAs are validated in more numbers of HCC tisuues by qRT PCR. Finally six miRNAs (miR-15a, miR-16, miR-21,miR-29b-3p, miR-126, miR-142-3p, miR-193a-5p) showed similar expression pattern in both microarray and qRT PCR
2015-04-15 | GSE67882 | GEO
Project description:To explore functionally crucial tumor-suppressive (TS)-miRNAs in hepatocellular carcinoma (HCC), we performed integrative function- and expression-based screenings of TS-miRNAs in six HCC cell lines. The screenings identified seven miRNAs, which showed growth-suppressive activities through the overexpression of each miRNA and were endogenously downregulated in HCC cell lines. Further expression analyses using a large panel of HCC cell lines and primary tumors demonstrated four miRNAs, miR-101, -195, -378 and -497, as candidate TS-miRNAs frequently silenced in HCCs. Among them, two clustered miRNAs miR-195 and miR-497 showed significant growth-suppressive activity with induction of G1 arrest. Comprehensive exploration of their targets using Argonute2-immunoprecipitation-deep-sequencing (Ago2-IP-seq) and genome-wide expression profiling after their overexpression, successfully identified a set of cell-cycle regulators, including CCNE1, CDC25A, CCND3, CDK4, and BTRC. Our results suggest the molecular pathway regulating cell cycle progression to be integrally altered by downregulation of miR-195 and miR-497 expression, leading to aberrant cell proliferation in hepatocarcinogenesis. Screening of frequently downregulated miRNAs by comparing endgeneous expression status of miRNAs in 6 HCC cell lines with 2 normal livers Expression analysis using total RNAs extracted from standard medium conditioned 6 HCC cell lines, and 2 normal livers derived from patients with hepatectomy due to metastatic liver tumor
2013-05-31 | E-GEOD-41077 | biostudies-arrayexpress