Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human superficial bladder tumours to delineate the expression pattern differences between non-recurring and recurring tumours

ABSTRACT: Expression profiling of superficial bladder tumours to delineate the expression pattern differences between non-recurring and recurring tumours.

ORGANISM(S): Homo sapiens

SUBMITTER: Lars Dyrskjøt Andersen

PROVIDER: E-GEOD-88 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Identifying distinct classes of bladder carcinoma using microarrays.

Dyrskjøt Lars L Thykjaer Thomas T Kruhøffer Mogens M Jensen Jens Ledet JL Marcussen Niels N Hamilton-Dutoit Stephen S Wolf Hans H Orntoft Torben F TF

Nature genetics 20021209 1

Bladder cancer is a common malignant disease characterized by frequent recurrences. The stage of disease at diagnosis and the presence of surrounding carcinoma in situ are important in determining the disease course of an affected individual. Despite considerable effort, no accepted immunohistological or molecular markers have been identified to define clinically relevant subsets of bladder cancer. Here we report the identification of clinically relevant subclasses of bladder carcinoma using exp ...[more]

PMID: 12469123

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Project description:The paper describes a model on the Dynamics of Immune Checkpoints, Immune System, and BCG in the Treatment of Superficial Bladder Cancer. Created by COPASI 4.25 (Build 207) This model is described in the article: Dynamics of Immune Checkpoints, Immune System, and BCG in the Treatment of Superficial Bladder Cancer Farouk Tijjani Saad, Evren Hincal, and Bilgen Kaymakamzade Computational and Mathematical Methods in Medicine, vol. 2017, no. 3573082 Abstract: This paper aims to study the dynamics of immune suppressors/checkpoints, immune system, and BCG in the treatment of superficial bladder cancer. Programmed cell death protein-1 (PD-1), cytotoxic T-lymphocyte-associated antigen 4 (CTLA4), and transforming growth factor-beta (TGF-b) are some of the examples of immune suppressors/checkpoints. They are responsible for deactivating the immune system and enhancing immunological tolerance. Moreover, they categorically downregulate and suppress the immune system by preventing and blocking the activation of T-cells, which in turn decreases autoimmunity and enhances self- tolerance. In cancer immunotherapy, the immune checkpoints/suppressors prevent and block the immune cells from attacking, spreading, and killing the cancer cells, which leads to cancer growth and development. We formulate a mathematical model that studies three possible dynamics of the treatment and establish the effects of the immune checkpoints on the immune system and the treatment at large. Although the effect cannot be seen explicitly in the analysis of the model, we show it by numerical simulations. This model is hosted on BioModels Database and identified by: MODEL1907100001. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

Transcription profiling of human superficial bladder tumours to delineate the expression pattern differences between non-recurring and recurring tumours

Publications

Identifying distinct classes of bladder carcinoma using microarrays.

Similar Datasets

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