Linoleic Acid Metabolic Reprogramming Enhances Immune Response in Hepatocellular Carcinoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE304188 | GEO | 2026/09/01
REPOSITORIES: GEO
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Project description:Hepatocellular carcinoma (HCC) is a rapidly increasing and highly lethal cancer worldwide, with many patients diagnosed at advanced stages and early-stage patients often experiencing high recurrence rates. The combination of atezolizumab plus bevacizumab emerged as a groundbreaking immunotherapy, establishing a new standard of care for advanced HCC. There's an urgent need for reliable biomarkers to predict patient responses and personalize treatment. We collected tumor samples from advanced HCC patients wirth atezolizumab plus bevacizumab therapy and performed comprehensive analyses of the tumor microenvironment using bulk RNA sequencing to identify key features influencing the effectiveness of atezolizumab plus bevacizumab.
2025-10-02 | GSE285963 | 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:BACKGROUND & AIMS: In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues. METHODS: We assessed 287 HCC patients undergoing resection and tested genome-wide expression platforms using tumor (n = 287) and adjacent nontumor, cirrhotic tissue (n = 226). We evaluated gene expression signatures with reported prognostic ability generated from tumor or cirrhotic tissue in 18 and 4 reports, respectively. In 15 additional patients, we profiled samples from the center and periphery of the tumor, to determine stability of signatures. Data analysis included Cox modeling and random survival forests to identify independent predictors of tumor recurrence. RESULTS: Gene expression signatures that were associated with aggressive HCC were clustered, as well as those associated with tumors of progenitor cell origin and those from nontumor, adjacent, cirrhotic tissues. On multivariate analysis, the tumor-associated signature G3-proliferation (hazard ratio [HR], 1.75; P = .003) and an adjacent poor-survival signature (HR, 1.74; P = .004) were independent predictors of HCC recurrence, along with satellites (HR, 1.66; P = .04). Samples from different sites in the same tumor nodule were reproducibly classified. CONCLUSIONS: We developed a composite prognostic model for HCC recurrence, based on gene expression patterns in tumor and adjacent tissues. These signatures predict early and overall recurrence in patients with HCC, and complement findings from clinical and pathology analyses. Center and peripheral portions of hepatocellular carcinoma tumors as well as surrounding non-tumor cirrhotic liver tissues were obtained from fresh frozen surgically resected tissues, and isolated total RNA samples were analyzed for genome-wide expression profiles.
2014-03-25 | E-GEOD-56140 | biostudies-arrayexpress
Project description:Aberrant expression of LncRNAs might be responsible for the HCC invasion and metastasis. we employed the LncRNAs microarray technology to study the LncRNAs expression profiles at genome-wide in hepatocellular carcinoma (HCC)tissue samples with early recurrence (less than 1 year, with invasion and metastasis out of liver) and late recurrence (longer than 2 years, without invasion and metastasis out of liver), which had different recurrent/metastatic potentials, by using normal liver tissue as control to screen the dysregulated LncRNAs which are potentially involved in the recurrence, invasion and metastasis process of HCC
2015-03-26 | GSE67260 | GEO
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:BACKGROUND & AIMS: In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues. METHODS: We assessed 287 HCC patients undergoing resection and tested genome-wide expression platforms using tumor (n = 287) and adjacent nontumor, cirrhotic tissue (n = 226). We evaluated gene expression signatures with reported prognostic ability generated from tumor or cirrhotic tissue in 18 and 4 reports, respectively. In 15 additional patients, we profiled samples from the center and periphery of the tumor, to determine stability of signatures. Data analysis included Cox modeling and random survival forests to identify independent predictors of tumor recurrence. RESULTS: Gene expression signatures that were associated with aggressive HCC were clustered, as well as those associated with tumors of progenitor cell origin and those from nontumor, adjacent, cirrhotic tissues. On multivariate analysis, the tumor-associated signature G3-proliferation (hazard ratio [HR], 1.75; P = .003) and an adjacent poor-survival signature (HR, 1.74; P = .004) were independent predictors of HCC recurrence, along with satellites (HR, 1.66; P = .04). Samples from different sites in the same tumor nodule were reproducibly classified. CONCLUSIONS: We developed a composite prognostic model for HCC recurrence, based on gene expression patterns in tumor and adjacent tissues. These signatures predict early and overall recurrence in patients with HCC, and complement findings from clinical and pathology analyses.
2014-03-25 | GSE56140 | GEO
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2021-12-23 | E-MTAB-8915 | biostudies-arrayexpress
Project description:Non-alcoholic fatty liver disease (NAFLD) is a major global health problem with its high prevalence and risk of developing lethal complications, progressive liver fibrosis and hepatocellular carcinoma (HCC), the only rising cancer mortality in the U.S. Ever after curative surgical resection, HCC can recur at extremely high rate (70% within 5 years); therefore, prediction of recurrent HCC is expected to guide decision of neo/adjuvant therapies currently under active development. Herein, we derived an HCC-transcriptome-based signature to predict disseminative recurrence, which originates from disseminated HCC cells from surgically resected initial tumor, and validated it in an independent cohort.
2023-09-14 | GSE214432 | GEO
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:The epithelial to mesenchymal transition (EMT) of malignant hepatocytes is a crucial event in hepatocellular carcinoma (HCC) progression and recurrence. We aimed to establish a human model of EMT to examine drug efficacy and specificity in HCC progression. Human HCC cell populations were characterized by immunofluorescence analysis, migration and invasion assays, array comparative genomic hybridization, whole-genome expression profiling and promoter methylation. Therapeutic agents clinically used against HCC were examined for efficacy by determination of IC50 values. Liver cancer cell lines showed either an epithelial or mesenchymal phenotype of which latter showed strong migratory and invasive abilities in vitro. The common cellular origin of both cell types indicated that mesenchymal HCC cells have been derived from epithelial hepatocytes through EMT in the HCC patient. Drug exposure of mesenchymal HCC cells showed higher resistance to the targeted therapeutic agents sorafenib and erlotinib as compared to epithelial HCC cells, which were slightly more resistant to cytostatic drugs. Most remarkably, combined treatment with doxorubicin and sorafenib caused increased susceptibility of both HCC cell types resulting in enhanced drug efficacy. Taken together, this novel model of human HCC allows to monitor the differential effect of liver cancer progression on drug efficacy in pre-clinical studies. hepatocellular carcinoma cell lines HCC-1.2 and HCC-1.1 cells, referred to as 3p and 3sp cells, respectively, were isolated from one HCC patient as described ( Sagmeister S, Eisenbauer M, Pirker C, et al. New cellular tools reveal complex epithelial-mesenchymal interactions in hepatocarcinogenesis. Br J Cancer 2008;99(1):151-9.). 3p cells of passages 10 to 12 and 3sp cells of passages 7 to 13 are termed 3p early and 3sp early, respectively. 3p cells between passage 71 and 76 and 3sp from passage 72 to 87 were termed 3p late and 3sp late, respectively
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