RNA-seq of human hepatocellular carcinoma (HCC) patients
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ABSTRACT:
PROVIDER: PRJEB37650 | ENA |
REPOSITORIES: ENA
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Project description:Tumor samples and matching healthy tissue from 23 human hepatocellular carcinoma (HCC) patients and one hepatocellular adenoma patient were collected after surgical resection. Total RNA was harvested and sequenced with a strand-specific single-end RNA-seq protocol.
2021-12-23 | E-MTAB-8915 | biostudies-arrayexpress
Project description:We analyzed the proteome of tumor and matched non-tumor biopsies from 51 treatment-naive Hepatocellular carcinoma (HCC) patients by DIA (SWATH). Thereby we aim to find subgroups of patients characterized by specific pathway activation. Furthermore, we aim to find novel factors involved in HCC development and novel biomarkers.
2022-03-14 | PXD025705 | Pride
Project description:We analyzed the phospho-proteome of tumor and matched non-tumor biopsies from 51 treatment-naive Hepatocellular carcinoma (HCC) patients by label-free DDA. Thereby we aim to find subgroups of patients characterized by specific pathway activation. Furthermore, we aim to find novel factors involved in HCC development and novel biomarkers.
2022-03-14 | PXD025836 | Pride
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
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
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.
2015-05-21 | GSE43619 | GEO
Project description:Aberrant gene expression analysis between peripheral blood mononuclear cell (PBMC) samples from healthy individuals and patients with pancreatic carcinoma, gastric carcinoma and hepatocellular carcinoma (HCC) were identified using Affymetrix gene arrays. Peripheral blood mononuclear cell (PBMC) from healthy individuals, patients with pancreatic carcinoma, gastric carcinoma and HCC were isolated and total RNA was extracted for Affymetrix gene microarray analysis.
2013-08-03 | E-GEOD-49515 | biostudies-arrayexpress
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
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.
2013-10-25 | E-GEOD-41874 | biostudies-arrayexpress
Project description:Background: It is a challenge to identify those patients who, after undergoing potentially curative treatments for hepatocellular carcinoma, are at greatest risk of recurrence. Such high-risk patients could receive novel interventional measures. An obstacle to the development of genome-based predictors of outcome in patients with hepatocellular carcinoma has been the lack of a means to carry out genomewide expression profiling of fixed, as opposed to frozen, tissues. Methods: We aimed to demonstrate the feasibility of gene-expression profiling of more than 6000 human genes in formalin-fixed paraffin-embedded tissues. We applied the method to tissues from 307 patients with hepatocellular carcinoma, from four series of patients, to discover and validate a gene-expression signature associated with survival. Results: The expression-profiling method for formalin-fixed, paraffin-embedded tissue was highly effective: samples from 90% of the patients yielded data of high quality, including samples that had been archived for more than 24 years. Gene-expression profiles of tumor tissue failed to yield a significant association with survival. In contrast, profiles of the surrounding nontumoral liver tissue were highly correlated with survival in a training set of 82 Japanese patients, and the signature was validated in tissues from an independent group of 225 patients from the United States and Europe (p = 0.04). Conclusions: We have demonstrated the feasibility of genomewide expression profiling of formalin-fixed, paraffin-embedded tissues and have shown that a reproducible gene-expression signature correlating with survival is present in liver tissue adjacent to the tumor in patients with hepatocellular carcinoma. Keywords: Hepatocellular carcinoma, Expression array, Illumina, Signatures, Outcome prediction Training cohort: 80 tumor and 82 non-tumor liver tissues surgically resected from patients with hepatocellular carcinoma (HCC); Validation cohort: 225 non-tumor liver tissues surgically resected from patients with HCC. Clinical data has been withheld from GEO due to privacy concerns.
2010-05-19 | E-GEOD-10141 | biostudies-arrayexpress