Project description:Mice were vaccinated with iBoost technology against a tumor vascular target, prior to B16F10 tumor inoculation. Tumors from control and target vaccinated mice were excised and subject to RNAseq
Project description:Here we report a cancer vaccine that induced a coordinated attack by diverse T cell and NK cell populations. The vaccine targeted the MICA and MICB (MICA/B) stress proteins expressed by many human cancers due to DNA damage. MICA/B serve as ligands for the activating NKG2D receptor on T cells and NK cells, but tumors evade immune recognition by proteolytic MICA/B cleavage. Vaccine-induced antibodies increased the density of MICA/B proteins on the surface of tumor cells by inhibiting proteolytic shedding, increased presentation of tumor antigens by dendritic cells to T cells, and enhanced the cytotoxic function of NK cells. Importantly, this vaccine maintained efficacy against MHC-I deficient tumors resistant to cytotoxic T cells through the coordinated action of NK cells and CD4 T cells. The vaccine was also efficacious in a clinically important setting: immunization following surgical removal of primary, highly metastatic tumors inhibited the later outgrowth of metastases. This vaccine design enables protective immunity even against tumors with common escape mutations.
Project description:The paper describes a model of antitumor vaccine therapy.
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This model is described in the article:
A Mathematical Model of the Enhancement of Tumor Vaccine Efficacy by Immunotherapy
Shelby Wilson and Doron Levy
Bull Math Biol. 2012 July ; 74(7)
Abstract:
TGF-β is an immunoregulatory protein that contributes to inadequate antitumor immune responses in cancer patients. Recent experimental data suggests that TGF-β inhibition alone, provides few clinical benefits, yet it can significantly amplify the anti-tumor immune response when combined with a tumor vaccine. We develop a mathematical model in order to gain insight into the cooperative interaction between anti-TGF-β and vaccine treatments. The mathematical model follows the dynamics of the tumor size, TGF-β concentration, activated cytotoxic effector cells, and regulatory T cells. Using numerical simulations and stability analysis, we study the following scenarios: a control case of no treatment, anti-TGF-β treatment, vaccine treatment, and combined anti-TGF-β vaccine treatments. We show that our model is capable of capturing the observed experimental results, and hence can be potentially used in designing future experiments involving this approach to immunotherapy.
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Project description:Typhoid fever is caused by the Gram-negative bacterium Salmonella enterica serovar Typhi. Bulk RNA-sequencing (RNA-seq) data were generated from blood samples obtained from adult human volunteers enrolled in a vaccine trial involving two vaccines against typhoid fever, a plain polysaccharide vaccine, ViPS and a glycoconjugate vaccine, ViTCV. The participants were then challenged with S. Typhi in a controlled human infection model (CHIM).
Project description:Tumor-associated breast vasculature was laser-cappture microdissected from IDC breast cancer cases. The goal of the study was to characterize the heterogeneity of breast tumor-associated vasculature and identify gene expression signatures predictive of clinical outcome. common reference design, 32 samples
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Project description:Tumor vasculature are structurally chaotic and functionally inefficient. Restoring aberrant tumor blood vessels, or “normalize” the tumor vasculature can alleviate hypoxia and enhance intra-tumoral drug delivery. However, identifying tumor vascular normalizing drugs are currently hampered by an absence of efficient screening platform. We aimed to develop a robust method to visualize, digitalize and evaluate the structural and functional changes of tumor vasculature in batch: zebrafish functional xenograft vasculature platform (zFXVP). As proof of principle, we applied zFXVP to a small compound library which has been implicated in affecting the morphology of tumor vasculature. zFXVP identified PF-502 as a durable tumor vascular normalization agent. Further molecular analysis using RNA-Seq, pharmaceutical inhibition and gene knockout indicate PF-502 can induce endothelial cell cycle arrest and simplify redundant tumor vasculature by blocking PI3K/mTOR signaling and stabilize the vessel lumen and stimulate the blood function by activating Notch1 signaling with mediating S3 cleavage. Last, in mouse tumor xenograft model, PF-502 reproduced a potent vascular normalizing effect at a sub MTD (maximum tolerated dose) and showed its ability to improve intra-tumoral drug delivery and synergize chemotherapy, which confirms the reliability of zFXVP and implicates the potential application of PF-502 in clinical practice as an adjuvant vascular normalization drug.
Project description:Tumor-associated breast vasculature was laser-cappture microdissected from IDC breast cancer cases. The goal of the study was to characterize the heterogeneity of breast tumor-associated vasculature and identify gene expression signatures predictive of clinical outcome.
Project description:Listeria monocytogenes is a foodborne intracellular bacterial pathogen leading to human listeriosis. Despite a high mortality rate and increasing antibiotic resistance no clinically approved vaccine against Listeria is available. To identify antigens for this bacterial pathogen that can be encoded in mRNA vaccine formulations, we screened for Listeria epitopes presented on the surface of infected human cell lines by mass spectrometry-based immunopeptidomics. In between more than 15,000 human self-peptides, we detected 68 Listeria epitopes from 42 different bacterial proteins, including several known antigens. Peptide epitopes presented on different cell lines were often derived from the same bacterial surface proteins, classifying these antigens as potential vaccine candidates. Encoding these highly presented antigens in lipid nanoparticle mRNA vaccine formulations resulted in high levels of protection in vaccination challenge experiments in mice. Our results pave the way for the development of a clinical mRNA vaccine against Listeria and demonstrate the power of immunopeptidomics for next-generation bacterial vaccine development.
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