The anti-angiogenic and anti-tumor cell signaling networks of the kringle 1 domain of hepatocyte growth factor (HGFK1)
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA107351 | ENA |
REPOSITORIES: ENA
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Project description:Previously, we have demonstrated that the recombinant adeno-associated virus carrying the kringle domain 1 of hepatocyte growth factor (rAAV-HGFK1) gene is a potential anti-angiogenic approach for the treatment of hepatocellular carcinoma (HCC) and exerts direct inhibition effects on tumor cells. Here, using genome-wide expression profiling technology, coupled with RT-PCR validation, we investigated the differentially expressed genes and proposed the mechanisms involved in HGFK1 anti-angiogenic and anti-tumor cell signaling networks. Keywords: HGFK1, anti-angiogenic signaling network, anti-tumor cell signaling network Microarray probe sets which were at least 2-fold changed upon rAAV-HGFK1 treatment when compared to rAAV-EGFP (baseline control) treatment on the cells are considered as differentially expressed genes (DEGs). The differentially expressed genes were analyzed using two software tools, namely PathwayArchitect (version 1.0.0) (www.strategene.com) and Ingenity Pathways Analysis (version 5.0) (http://www.ingenuity.com/index.html). They are designed to assist microarray data analysis and provide visualization of biological pathways, gene regulation networks and protein-protein interactions to users. The signaling networks proposed above were manually determined and created based on the relevant findings in literature provided by the software tools.
2009-11-30 | E-GEOD-10854 | biostudies-arrayexpress
Project description:Previously, we have demonstrated that the recombinant adeno-associated virus carrying the kringle domain 1 of hepatocyte growth factor (rAAV-HGFK1) gene is a potential anti-angiogenic approach for the treatment of hepatocellular carcinoma (HCC) and exerts direct inhibition effects on tumor cells. Here, using genome-wide expression profiling technology, coupled with RT-PCR validation, we investigated the differentially expressed genes and proposed the mechanisms involved in HGFK1 anti-angiogenic and anti-tumor cell signaling networks. Keywords: HGFK1, anti-angiogenic signaling network, anti-tumor cell signaling network
2009-11-30 | GSE10854 | GEO
Project description:Anti-angiogenic anticancer therapies possess immune-stimulatory properties by counteracting pro-angiogenic molecular mechanisms. We report that tumor endothelial cells ubiquitously overexpress and secrete the intermediate filament protein vimentin through type III unconventional mechanisms. Extracellular vimentin is pro-angiogenic and functionally mimics VEGF action, while concomitantly acting as inhibitor of leukocyte-endothelial interactions. Targeting of extracellular vimentin presents a promising anti-angiogenic immunotherapy strategy against cancer. Here we describe profiling of the HUVEC (Human Umbilical Vein Endothelial Cell) proteome, with special emphasis on vimentin (variants) in the different fractions. We have evidence that vimentin is externalized and deposited in the matrix of cultured cells and is as such available for targeted antiangiogenic therapeutics. The aim of the experiment is to determine the protein variants of vimentin in the cell, the secretome, and in the matrix deposited by the cells.
2022-03-29 | PXD024426 | Pride
Project description:Resistance towards anti-angiogenic therapy (AAT) still represents a substantial clinical challenge. We report here that tumor-infiltrating mast cells (MC) are powerful mediators decreasing efficacy of AAT in mice and cancer patients. They act in a cell-extrinsic manner by secreting granzyme B, which liberates pro-angiogenic mediators from the extracellular matrix. In addition, MC also diminish efficacy of anti-angiogenic agents in a cell-autonomous way, which can be blocked by the mast cell degranulation inhibitor cromolyn. Our findings are relevant in humans because patients harboring higher numbers of MC in their tumors have an inferior outcome after anti-angiogenic treatment in the Gepar Quinto randomized Phase 3 clinical trial. Thus, MC-targeting might represent a novel promising approach to increase efficacy of AAT.
2017-09-15 | GSE89395 | GEO
Project description:Pathological angiogenesis, the abnormal or excessive generation of blood vessels, plays an important role in many diseases including cancer, diabetic retinopathy, psoriasis, and arthritis. Additionally, increasing evidence supports the close linkage between angiogenesis and inflammation. Snake venoms are a rich natural source of biologically active molecules and carry rich potential for the discovery anti-angiogenic and anti-inflammatory modulators. Here, we isolated and purified a novel protein, ZK002, from the venom of the snake Deinagkistrodon acutus, and investigated its anti-angiogenic and anti-inflammatory activities and mechanisms.
2023-10-24 | PXD037093 | Pride
Project description:This model is based on:
Reinforcement learning-based control of tumor growth under anti-angiogenic therapy
Authors: Parisa Yazdjerdi, Nader Meskin, Mohammad Al-Naemi, Ala-Eddin Al Moustafa, Levente Kovacs
Abstract:
Background and objectives: In recent decades, cancer has become one of the most fatal and destructive diseases which is threatening humans life. Accordingly, different types of cancer treatment are studied with the main aim to have the best treatment with minimum side effects. Anti-angiogenic is a molecular targeted therapy which can be coupled with chemotherapy and radiotherapy. Although this method does not eliminate the whole tumor, but it can keep the tumor size in a given state by preventing the formation of new blood vessels. In this paper, a novel model-free method based on reinforcement learning (RL) framework is used to design a closed-loop control of anti-angiogenic drug dosing administration.
Methods: A Q-learning algorithm is developed for the drug dosing closed-loop control. This controller is designed using two different values of the maximum drug dosage to reduce the tumor volume up to a desired value. The mathematical model of tumor growth under anti-angiogenic inhibitor is used to simulate a real patient.
Results: The effectiveness of the proposed method is shown through in silico simulation and its robustness to patient parameters variation is demonstrated. It is demonstrated that the tumor reaches its minimal volume in 84 days with maximum drug inlet of 30 mg/kg/day. Also, it is shown that the designed controller is robust with respect to ± 20% of tumor growth parameters changes.
Conclusion: The proposed closed-loop reinforcement learning-based controller for cancer treatment using anti-angiogenic inhibitor provides an effective and novel result such that with a clinically valid and safe dosage of drug, the volume reduces up to 1mm3 in a reasonable short period compared to the literature.
2019-09-24 | BIOMD0000000821 | BioModels
Project description:Background: Cantharidin, an active constituent of mylabris, is believed to have anti-tumor activity. Cantharidin selectively inhibit protein phosphatase 2A (PP2A), a repressor of oncogenic kinase pathways (ERK, JNK, NF-κB, and PKC). Cantharidin represses the growth and metastasis of pancreatic cancer cells in vitro. In the present study, we investigated the effects of cantharidin on pancreatic cancer xenografts in vivo. Methods: Cells stably expressing luciferase were used to establish xenograft models. Xenograft growth was evaluated by living imaging. Gene expression was determined using a microarray, real-time PCR, a RayBiotech antibody array, and the Milliplex assay. Results: Surprisingly, cantharidin significantly accelerated xenograft growth. Living imaging showed a rapid distribution of D-luciferin in cantharidin-treated xenografts, suggesting a rich blood supply. Immunohistochemistry confirmed increased angiogenesis. Microarray and antibody array identified upregulated pro-angiogenic and downregulated anti-angiogenic factors. The Milliplex assay suggested elevated secretion of IL-6, IL-8, TNF-α, and VEGF. ERK, JNK, NF-κB, and PKC pathway inhibitors attenuated the cantharidin-induced changes to pro-angiogenic gene expression. PKC pathway-inhibiting tamoxifen or antiangiogenic therapeutics, including Ginsenoside Rg3, bevacizumab, Apatinib, and Endostar antagonized the pro-angiogenic effect of cantharidin or its derivatives. These regimens presented remarkable synergistic antitumor effects in vivo. Conclusion: Although cantharidin presents anti-tumor effects in vitro and has been applied in clinical practice, we revealed an unfavorable pro-angiogenic side effect. We recommend that the clinical application of cantharidin should be performed on the premise of anti-vascularization therapy.
2018-12-06 | GSE114040 | GEO
Project description:Bazzani2012 - Genome scale networks of P.falciparum and human hepatocyte
This model is described in the article:
Network-based assessment of the selectivity of metabolic drug targets in Plasmodium falciparum with respect to human liver metabolism.
Bazzani S, Hoppe A, Holzhütter HG.
BMC Syst Biol.
2012 Aug 31;6(1):118. PMID: 2937810
Abstract:
ABSTRACT:
BACKGROUND: The search for new drug targets for antibiotics against Plasmodium falciparum, a major cause of human deaths, is a pressing scientific issue, as multiple resistance strains spread rapidly. Metabolic network-based analyses may help to identify those parasite's essential enzymes whose homologous counterparts in the human host cells are either absent, non-essential or relatively less essential.
RESULTS:
Using the well-curated metabolic networks PlasmoNet of the parasite Plasmodium falciparum and HepatoNet1 of the human hepatocyte, the selectivity of 48 experimental antimalarial drug targets was analyzed. Applying in silico gene deletions, 24 of these drug targets were found to be perfectly selective, in that they were essential for the parasite but non-essential for the human cell. The selectivity of a subset of enzymes, that were essential in both models, was evaluated with the reduced fitness concept. It was, then, possible to quantify the reduction in functional fitness of the two networks under the progressive inhibition of the same enzymatic activity. Overall, this in silico analysis provided a selectivity ranking that was in line with numerous in vivo and in vitro observations.
CONCLUSIONS:
Genome-scale models can be useful to depict and quantify the effects of enzymatic inhibitions on the impaired production of biomass components. From the perspective of a host-pathogen metabolic interaction, an estimation of the drug targets-induced consequences can be beneficial for the development of a selective anti-parasitic drug.
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2005-01-01 | MODEL1206070000 | BioModels
Project description:Three-dimensional CRISPR screening reveals epigenetic interaction with anti-angiogenic therapy
| PRJNA735135 | ENA
Project description:Liver fibrosis is a strong predictor of long-term mortality in patients with non-alcoholic fatty liver disease; yet the mechanisms underlying the progression from the comparatively benign fatty liver state to advanced non-alcoholic steatohepatitis (NASH) and liver fibrosis are incompletely under-stood. Using a cell type-resolved genomics approach, we show that comprehensive alterations in hepatocyte genomic and transcriptional settings during NASH progression, led to a partial loss of hepatocyte identity. The hepatocyte reprogramming was under tight cooperative control of a net-work of NASH-activated transcription factors (TFs), as exemplified by Elf3 and Glis2. Indeed, Elf3 and Glis2 controlled hepatocyte identity and fibrosis-dependent hepatokine genes targeting disease-associated hepatic stellate cell (HSC) gene programs. Thus, interconnected TF networks not only promoted hepatocyte dysfunction, but also directed the intra-hepatic crosstalk with HSCs necessary for NASH and fibrosis progression implying molecular “hub-centered” targeting strategies to be superior to existing mono-target approaches as currently used in NASH therapy.
2021-07-13 | PXD025691 | Pride