Using a novel gene signature for predicting the efficacy of the transarterial chemoembolization in patients with hepatocellular carcinoma.
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE104580 | GEO | 2020/10/01
REPOSITORIES: GEO
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Project description:These paired HCC and non-tumorous liver tissues were used to determine highly differentially expressed genes in HCC and non-tumorous liver tissue. Hepatocellular carcinoma (HCC) is a malignancy with poor survival outcome. Genes showing extreme differential expression between paired human HCC and adjacent non-tumorous liver tissue were investigated. PLVAP was identified as a gene specifically expressed in vascular endothelial cells of HCC but not in non-tumorous liver tissues. This finding was confirmed by RT-PCR analysis of micro-dissected cells and immunohistochemical staining of tissue sections. A recombinant monoclonal anti-PLVAP Fab fragment co-expressing extracellular domain of human tissue factor (TF) was developed. The potential therapeutic effect and toxicity to treat HCC were studied using a Hep3B HCC xenograft model in SCID mice. Infusion of recombinant monoclonal anti-PLVAP Fab-TF into the tumor feeding artery induced tumor vascular thrombosis and extensive tumor necrosis at doses between 2.5 µg and 12 µg. Tumor growth was suppressed for 40 days after a single treatment. Systemic administration did not induce tumor necrosis. Little systemic toxicity was noted for this therapeutic agent. The results of this study suggest that anti-PLVAP Fab-TF may be used to treat HCC cases for which transcatheter arterial chemoembolization (TACE) is currently used, but without major drawbacks of TACE. Anti-PLVAP Fab-TF may improve therapeutic outcome and be a viable therapeutic agent in patients with more advanced disease and compromised liver function. Frozen hepatocellular carcinoma and adjacent non-tumorous liver tissues were used for gnee expression profiling study. Affymetrix U133A genechips were used for gene expression profiling. This dataset is part of the TransQST collection.
2015-01-01 | E-GEOD-60502 | biostudies-arrayexpress
Project description:These paired HCC and non-tumorous liver tissues were used to determine highly dfferentially expressed genes in HCC and non-tumorous liver tissue. Hepatocellular carcinoma (HCC) is a malignancy with poor survival outcome. Genes showing extreme differential expression between paired human HCC and adjacent non-tumorous liver tissue were investigated. PLVAP was identified as a gene specifically expressed in vascular endothelial cells of HCC but not in non-tumorous liver tissues. This finding was confirmed by RT-PCR analysis of micro-dissected cells and immunohistochemical staining of tissue sections. A recombinant monoclonal anti-PLVAP Fab fragment co-expressing extracellular domain of human tissue factor (TF) was developed. The potential therapeutic effect and toxicity to treat HCC were studied using a Hep3B HCC xenograft model in SCID mice. Infusion of recombinant monoclonal anti-PLVAP Fab-TF into the tumor feeding artery induced tumor vascular thrombosis and extensive tumor necrosis at doses between 2.5 µg and 12 µg. Tumor growth was suppressed for 40 days after a single treatment. Systemic administration did not induce tumor necrosis. Little systemic toxicity was noted for this therapeutic agent. The results of this study suggest that anti-PLVAP Fab-TF may be used to treat HCC cases for which transcatheter arterial chemoembolization (TACE) is currently used, but without major drawbacks of TACE. Anti-PLVAP Fab-TF may improve therapeutic outcome and be a viable therapeutic agent in patients with more advanced disease and compromised liver function.
2015-01-01 | GSE60502 | GEO
Project description:Background & Aims: Hepatocellular carcinoma (HCC) is the second most lethal cancer due to lack of effective therapies. Although promising, HCC molecular classification, which enriches potential responders to specific therapies, has not yet been assessed in clinical trials of anti-HCC drugs. We aimed to overcome these challenges by developing clinicopathological surrogate indices of HCC molecular classification. Methods: HCC classification defined in our previous transcriptome meta-analysis (S1, S2, and S3 subclasses) was implemented in an FDA-approved diagnostic platform (Elements assay, NanoString). Ninety-six HCC tumors (training set) were assayed to develop molecular subclass-predictive indices based on clinicopathological features, which were independently validated in 99 HCC tumors (validation set). Molecular deregulations associated with the histopathological features were determined by pathway analysis. Sample sizes for HCC clinical trials enriched with specific molecular subclasses were determined. Results: HCC subclass-predictive indices were: steatohepatitic (SH)-HCC variant and immune cell infiltrate for S1 subclass, macrotrabecular/compact pattern, lack of pseudoglandular pattern, and high serum alpha-fetoprotein (>400 ng/mL) for S2 subclass, and microtrabecular pattern, lack of SH-HCC and clear cell variants, and lower histological grade for S3 subclass. Macrotrabecular/compact pattern, a predictor of S2 subclass, was associated with activation of therapeutically targetable oncogene YAP and stemness markers EPCAM/KRT19. BMP4 was associated with pseudoglandular pattern. Subclass-predictive indices-based patient enrichment reduced clinical trial sample sizes from 121, 184, and 53 to 30, 43, and 22 for S1, S2, and S3 subclass-targeting therapies, respectively. Conclusions: HCC molecular subclasses can be enriched by clinicopathological indices tightly associated with deregulation of therapeutically targetable molecular pathways.
2015-06-17 | GSE59548 | GEO
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:Multi-omics approaches were utilized to comprehensively analyze the molecular characteristics of hepatocellular carcinoma (HCC) in South Texas (STX) Hispanics. Exome sequencing revealed high mutation frequencies of AXIN2 and CTNNB1, suggesting a predominant activation of the Wnt/beta-catenin pathway. Cell cycles were positively-, and liver functions were negatively-enriched on gene set enrichment analysis of our transcriptomic and proteomic datasets. Enrichments of gene sets representing specific liver metabolic pathways were found to be associated with the dysregulation of corresponding metabolites. Significant reduction of the majority of lipids seen in serum samples of HCC patients and many fatty acids in HCC tumors corroborate negative adipogenesis and lipid metabolism enrichments. We identified two subtypes of HCC using enrichment scores from paired tumor-nontumor samples of STX-Hispanics or TCGA-LIHC. The subtype with better overall survival revealed pronounced positive enrichments of immune-, angiogenesis-, and negative enrichments of liver function-related hallmark gene sets than the other. The former had higher levels of immune checkpoint and immune exhaustion markers. Together, we report molecular features of HCC, specific and non-specific to Hispanics.
2023-07-11 | MSV000092403 | MassIVE
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: 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:To investigate the role of viral and host factors in HDV-associated HCC we carried out an integrated clinicopathological and gene expression study of tissue specimens and laser microdissected hepatocytes obtained at the time of liver transplantation from livers with HDV-HCC, HDV-cirrhosis without HCC, HCV-HCC and HBV-HCC. References to GSM series of HDV and HBV livers, already deposited in GEO, are included in this series. Part of data of HCV livers are a re-analysis of GSE series GSE69715 and GSE78737, the re-analyzed GSM is indicated in the 'description' column and with a link at the bottom of the page.
2018-04-09 | GSE107170 | GEO
Project description:BackgroundN6-methyladenosine (m6A) methylation and ferroptosis assist long noncoding RNAs (lncRNAs) in promoting immune escape in hepatocellular carcinoma (HCC). However, the predictive value of m6A- and ferroptosis-related lncRNAs (mfrlncRNAs) in terms of immune efficacy remains unknown.MethodA total of 365 HCC patients with complete data from The Cancer Genome Atlas (TCGA) database were used as the training cohort, and half of them were randomly selected as the validation cohort. A total of 161 HCC patients from the International Cancer Genome Consortium (ICGC) database were used as external validation (ICGC cohort).ResultsWe first identified a group of specific lncRNAs associated with both m6A regulators and ferroptosis-related genes and then constructed prognosis-related mfrlncRNA pairs. Based on this, the mfrlncRNA signature was constructed using the least absolute shrinkage and selection operator (LASSO) analysis and Cox regression. Notably, the risk score of patients was proven to be an independent prognostic factor and was better than the TNM stage and tumor grade. Moreover, patients with high-risk scores had lower survival rates, higher infiltration of immunosuppressive cells (macrophages and Tregs), lower infiltration of cytotoxic immune cells (natural killer cells), poorer immune efficacy (both immunophenoscore and score of tumor immune dysfunction and exclusion), higher IC50, and enrichment of the induced Treg pathway, which confirmed that the mfrlncRNA signature contributed to survival prediction and risk stratification of patients with HCC.ConclusionsThe mfrlncRNA signature, which has great prognostic value, provides new clues for identifying "cold" and "hot" tumors and might have crucial implications for individualized therapy to improve the survival rate of patients with HCC.
| S-EPMC9402990 | biostudies-literature