Dataset Information

Bianca2012 - Mathematical modeling of the immune system recognition to mammary carcinoma antigen

ABSTRACT: This model describes the humoral and cellular response of the immune system to a tumor associate antigen and the recognition process between B cells, T cells and antigen presenting cells. The model is used to analyze and investigate the competition between immune system cells and mammary carcinoma cells under the action of a vaccine.

SUBMITTER: Johannes Meyer

PROVIDER: MODEL1907260002 | BioModels | 2019-11-13

REPOSITORIES: BioModels

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Publications

Mathematical modeling of the immune system recognition to mammary carcinoma antigen.

Bianca Carlo C Chiacchio Ferdinando F Pappalardo Francesco F Pennisi Marzio M

BMC bioinformatics 20121213

The definition of artificial immunity, realized through vaccinations, is nowadays a practice widely developed in order to eliminate cancer disease. The present paper deals with an improved version of a mathematical model recently analyzed and related to the competition between immune system cells and mammary carcinoma cells under the action of a vaccine (Triplex). The model describes in detail both the humoral and cellular response of the immune system to the tumor associate antigen and the reco ...[more]

PMID: 23281916

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Project description:Preliminary studies with a variety of vaccines suggest target accessibility (potential immunogenicity) in a variety of solid tumors to immune directed approaches. In an effort to overcome limitations of immunostimulatory cancer vaccines, Gradalis has designed a novel autologous vaccine to address inability to fully identify cancer associated antigens, antigen recognition by the immune system (i.e. antigen-->immunogen), effector potency, and cancer-induced resistance. In an effort to overcome limitations of immunostimulatory cancer vaccines, we designed a novel dual-modulatory autologous whole cell vaccine, Vigil, incorporating the rhGMCSF transgene and the bifunctional shRNAfurin (to block proprotein conversion to active TGFb1 and b2) to 1) address the inability to fully identify cancer associated antigens, 2) effect antigen recognition by the immune system, 3) enhance effector potency, and 4) subvert endogenous cancer-induced immune resistance. We have also completed the Phase I assessment of Vigil vaccine in 30 advanced solid tumor patients (1.0 x 10^7 cells/injection/month for a maximum of 12 vaccinations) who have not experienced any significant adverse effects following 144 vaccinations, including 6 patients with colorectal carcinoma. Plasmid functionality, immune biomarker response, and preliminary evidence of anticancer activity have been observed. This is a two-part Phase II study of the Vigil autologous vaccine. Six patients will be enrolled into the Part 1 of the study to receive intradermal autologous Vigil cancer vaccine (1.0 x 10^7 cells/injection; maximum of 12 vaccinations). Part 2 of the study will be a randomized Phase II study of sandwich or adjuvant chemotherapy and intradermal autologous Vigil cancer vaccine (1.0 x 10^7 cells/injection; maximum of 12 vaccinations) versus sandwich or adjuvant chemotherapy and placebo in patients with colorectal carcinoma with either synchronous or metachronous liver metastases (CLM +/= pulmonary metastases) following resection +/= ablation with curative intent.Sandwich therapy indicates a combination of both pre-operative and postoperative chemotherapy as opposed to neo-adjuvant (all chemotherapy prior to surgery) or adjuvant (all chemotherapy following surgery) therapy. A minimum harvest aliquot to produce 4 monthly injections will be required for entry into the study. Patients in whom insufficient tissue (<4 doses) is collected or whose vaccine fails manufacturing release criteria will not receive vaccine.

Dataset Information

Bianca2012 - Mathematical modeling of the immune system recognition to mammary carcinoma antigen

Publications

Mathematical modeling of the immune system recognition to mammary carcinoma antigen.

Similar Datasets

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