Expression data from sgPPARD and sgCtrl of HCC cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE152108 | GEO | 2020/06/09
REPOSITORIES: GEO
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Project description:Hepatocellular carcinoma (HCC) represents the major subtype of liver cancer, characterized with a high rate of recurrence and heterogeneity. Liver cancer stem cells (CSCs) may account for a hierarchical organization of heterogeneous cancer cells. However, how liver CSCs sustain their self-renewal remains largely unknown. We used microarrays to discover the long non-coding RNAs (lncRNAs) expression underlying cell stem cell (CSC) and non cell stem cell (non-CSC) and identified distinct lncRNAs during this process. We sorted CD13+CD133+ and CD13-CD133- cells from Hep3B, Huh7, and PLC/PRF/5 HCC cell lines as liver CSCs and non-CSCs, then hybridized on Affymetrix microarrays. We sought to identify distinct lncRNAs in liver CSCs.
2015-03-05 | E-GEOD-66529 | biostudies-arrayexpress
Project description:Hepatocellular carcinoma (HCC) represents the major subtype of liver cancer, characterized with a high rate of recurrence and heterogeneity. Liver cancer stem cells (CSCs) may account for a hierarchical organization of heterogeneous cancer cells. However, how liver CSCs sustain their self-renewal remains largely unknown. We used microarrays to discover the long non-coding RNAs (lncRNAs) expression underlying cell stem cell (CSC) and non cell stem cell (non-CSC) and identified distinct lncRNAs during this process.
2019-07-10 | GSE122420 | GEO
Project description:Hepatocellular carcinoma (HCC) represents the major subtype of liver cancer, characterized with a high rate of recurrence and heterogeneity. Liver cancer stem cells (CSCs) may account for a hierarchical organization of heterogeneous cancer cells. However, how liver CSCs sustain their self-renewal remains largely unknown. We used microarrays to discover the long non-coding RNAs (lncRNAs) expression underlying cell stem cell (CSC) and non cell stem cell (non-CSC) and identified distinct lncRNAs during this process.
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Project description:To explore the target genes of long noncoding RNA lncTCF7, we established lncTCF7-silenced HCC primary CSC cells and conducted transcriptome microarray analysis. We used microarrays to identify distinct gene expression underlying shCtrl and shlncTCF7 of hepatocellular carcinoma sample stem cells. We cultured shlncTCF7 and shCtrl cells from hepatocellular carcinoma (HCC) clinical sample, then hybridized on Affymetrix microarrays. We sought to identify distinct target genes of lncTCF7 in liver cancer stem cells (CSCs).
2015-03-05 | E-GEOD-66515 | biostudies-arrayexpress
Project description:Hepatocellular carcinoma (HCC) is the most prevalent liver cancer, characterized by a high rate of recurrence and heterogeneity. Liver cancer stem cells (CSCs) may well contribute to both of these pathological properties, but the mechanism underlying their self-renewal and maintenance are poorly understood. Here we identified a long noncoding RNA (lncRNA) termed HAND2-AS1 that is highly expressed in liver CSCs. Human HAND2-AS1 is highly conserved to its mouse ortholog lncHand2. HAND2-AS1 is required for the self-renewal maintenance of liver CSCs to initiate HCC development. Mechanically, HAND2-AS1 recruits the INO80 complex onto BMPR1A promoter to trigger its expression, leading to the activation of BMP signaling. Importantly, targeting HAND2-AS1 by antisense oligonucleotides (ASOs) and BMPR1A by siRNAs have synergistic anti-tumor effects on humanized HCC models. Moreover, knockout of lncHand2 or Bmpr1a in mouse hepatocytes impairs BMP signaling and suppresses the initiation of liver cancer. Our findings reveal that HAND2-AS1 promotes the self-renewal of liver CSCs and drives liver oncogenesis, which may be a potential target for HCC therapy.
2019-02-06 | GSE126122 | GEO
Project description:Investigation the RNA profiling in Huh7 cells upon knock-out lncRNA HAND2-AS1 or knock-down INO80 via gene expression microarray analysis Hepatocellular carcinoma (HCC) is the most prevalent liver cancer, characterized by a high rate of recurrence and heterogeneity. Liver cancer stem cells (CSCs) may well contribute to both of these pathological properties, but the mechanism underlying their self-renewal and maintenance are poorly understood. Here we identified a long noncoding RNA (lncRNA) termed HAND2-AS1 that is highly expressed in liver CSCs. Human HAND2-AS1 is highly conserved to its mouse ortholog lncHand2. HAND2-AS1 is required for the self-renewal maintenance of liver CSCs to initiate HCC development. Mechanically, HAND2-AS1 recruits the INO80 complex onto BMPR1A promoter to trigger its expression, leading to the activation of BMP signaling. Importantly, targeting HAND2-AS1 by antisense oligonucleotides (ASOs) and BMPR1A by siRNAs have synergistic anti-tumor effects on humanized HCC models. Moreover, knockout of lncHand2 or Bmpr1a in mouse hepatocytes impairs BMP signaling and suppresses the initiation of liver cancer. Our findings reveal that HAND2-AS1 promotes the self-renewal of liver CSCs and drives liver oncogenesis, which may be a potential target for HCC therapy.
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Project description:BACKGROUND & AIMS: Expression of microRNAs (miRNAs) in metastatic foci of hepatocellular carcinoma (HCC) is unknown. We identified metastasis-related miRNAs in recurrent cases after living donor liver transplantation (LDLT). Methods: We performed a comprehensive analysis of primary HCC (T), noncancerous liver (N), and resected recurrent (metastatic) HCC (M) using microarray analyses to identify metastasis-related miRNAs in in three patients with post-transplant recurrence. The RNA samples from three cases that underwent resection of recurrences after LDLT were made available for miRNA microarray analysis. The three cases included a 57-year-old man (case 1) with peritoneal recurrence and infected by hepatitis B virus (HBV), and a 48-year-old woman (case 2) and a 51-year-old man (case 3) with lung recurrences and hepatitis C virus (HCV) infection. Microarray analysis was performed for each RNA sample from the (T), (N) in the explanted liver, and (M). A sample containing equal amounts of RNAs from histologically normal livers of three living donors (NL: normal liver) was analyzed as a control. The RNA samples from three cases that underwent resection of recurrences after living donor liver transplantation were made available for microRNA microarray analysis. Microarray analysis was performed for each RNA sample from the primary HCC (T), noncancerous liver (N) in the explanted liver, and resected recurrent metastatic HCC (M). A sample containing equal amounts of RNAs from histologically normal livers of three living donors (NL: normal liver) was analyzed as a control.
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Project description:Hepatocellular carcinoma is a poor prognosis cancer leading to death, with high rate of recurrence after curative therapy. The functions of Covalently closed circular RNA (circRNAs) in HCC recurrence have remained largely unknown. In this study, we generated multi-omics data to explore the circRNAs involving in the HCC recurrence.
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Project description:Hepatocellular carcinoma is a poor prognosis cancer leading to death, with high rate of recurrence after curative therapy. The functions of Covalently closed circular RNA (circRNAs) in HCC recurrence have remained largely unknown. In this study, we generated multi-omics data to explore the circRNAs involving in the HCC recurrence.
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Project description:Background/Aims: Recurrence-free survival (RFS) following curative resection of hepatocellular carcinoma (HCC) in subjects with hepatitis C virus (HCV) infection is highly variable. Traditional clinico-pathological endpoints are recognized as weak predictors of RFS. It has been suggested that gene expression profiling of HCC and nontumoral liver tissue may improve prediction of RFS, aid in understanding of the underlying liver disease, and guide individualized therapy. The goal of this study was to create a gene expression predictor of HCC recurrence in subjects with HCV. Methods: Frozen samples of the tumors and nontumoral liver were obtained from 47 subjects with HCV-associated HCC. Additional nontumoral liver samples were obtained from HCV-free subjects with metastatic liver tumors. Gene expression profiling data was used to determine the molecular signature of HCV-associated HCC and to develop a predictor of RFS. Results: The molecular profile of the HCV-associated HCC confirmed central roles for MYC and TGF-beta1 in liver tumor development. Gene expression in tumors was found to have poor predictive power with regards to RFS, but analysis of nontumoral tissues yielded a strong predictor for RFS in late-recurring (>1 year) subjects. Importantly, nontumoral tissue-derived gene expression predictor of RFS was highly significant in both univariable and multivariable Cox proportional hazard model analyses. Conclusions: Microarray analysis of the nontumoral tissues from subjects with HCV-associated HCC delivers novel molecular signatures of RFS, especially among the late-recurrence subjects. The gene expression signature of the predictor gives important insights into the pathobiology of HCC recurrence and used in design of the individualized therapy. 43 tumor (JT) and 44 non-tumor (JNT) liver tissues surgically resected from patients with HCV-associated hepatocellular carcinoma; 8 non-tumor liver tissues (control samples, JC) surgically resected from HCV- or HBV-free patients with metastatic liver tumor. Inter-batch normalization was carried out using Distance Weighted Discrimination procedure. The supplementary file 'GSE17856_Readme.txt' contains a description of the replicates used for normalization. The 'GSE17856_US14702406_2514850*' files are the raw data files for the replicates.
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