Ontology highlight
ABSTRACT:
PROVIDER: PRJNA600265 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10869931_1.fastq.gz | Fastqsanger.gz | |||
| SRR10869931_2.fastq.gz | Fastqsanger.gz | |||
| SRR10869932_1.fastq.gz | Fastqsanger.gz | |||
| SRR10869932_2.fastq.gz | Fastqsanger.gz | |||
| SRR10869933_1.fastq.gz | Fastqsanger.gz |
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Project description:Expression profiling of superficial bladder tumours to delineate the expression pattern differences between non-recurring and recurring tumours. Keywords = bladder cancer, superficial, recurrence, prediction Keywords: other
2002-12-08 | GSE88 | GEO
Project description:Total RNAs were subjected to RNA isolation and RNA-seq analyses were generated by deep sequencing using Illumina sequencing platform. We performed RNA sequencing on three matched muscle-invasive bladder cancer (MIBC) tissues with superficial tumor regions and deep infiltrating tumor regions in order to assess its potential as biomarkers. Quantitative real-time PCR were used to validate the expression pattern of mRNAs and lncRNAs in urine exosomes. Bioinformatic tools including Gene ontology, and KEGG pathway analysis were utilized.
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Project description:Bladder cancer is one of the most common cancers. Since prognosis ameliorates with early detection, it is a challenge to develop techniques that could replace or complement the current diagnosis protocols. The study of extracellular vesicles (EVs) that are present in urine samples has become an attractive alternative. The present study describes the mRNA content of vesicles isolated from voided urine samples within bladder cancer context. To discover a genetic signature of cancer, RNA associated to EVs was analyzed by microarray technique. Total RNA isolated from Extracellular Vesicles obtained from urine of bladder cancer patients was compared with RNA isolated from urinary vesicles of non-cancer patients.
2014-01-29 | E-GEOD-51843 | biostudies-arrayexpress
Project description:This ordinary differential equation model, simulating the tumor-immune interactions involved in BCG immunotherapy to treat superficial bladder cancer, is described by the publication:
Bunimovich-Mendrazitsky, S., Shochat, E., Stone, L. "Mathematical Model of BCG Immunotherapy in Superficial Bladder Cancer". Bull. Math. Biol. 69, 1847–1870 (2007). DOI: 10.1007/s11538-007-9195-z
Comment:
This model is based on the system of ODEs given in Equation 4 of the publication manuscript.
Reproduction of Figure 4 was achieved by setting p4 = 0.085.
Abstract:
Immunotherapy with Bacillus Calmette-Guérin (BCG)-an attenuated strain of Mycobacterium bovis (M. bovis) used for anti tuberculosis immunization-is a clinically established procedure for the treatment of superficial bladder cancer. However, the mode of action has not yet been fully elucidated, despite much extensive biological experience. The purpose of this paper is to develop a first mathematical model that describes tumor-immune interactions in the bladder as a result of BCG therapy. A mathematical analysis of the ODE model identifies multiple equilibrium points, their stability properties, and bifurcation points. Intriguing regimes of bistability are identified in which treatment has potential to result in a tumor-free equilibrium or a full-blown tumor depending only on initial conditions. Attention is given to estimating parameters and validating the model using published data taken from in vitro, mouse and human studies. The model makes clear that intensity of immunotherapy must be kept in limited bounds. While small treatment levels may fail to clear the tumor, a treatment that is too large can lead to an over-stimulated immune system having dangerous side effects for the patient.
2024-09-02 | BIOMD0000001034 | BioModels
Project description:Microbiome of bladder tissue and urine of bladder cancer patients
| PRJNA604455 | ENA
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.
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2024-09-02 | BIOMD0000000746 | BioModels
Project description:Identification of bladder cancer subsets 142 primary bladder tumors including superficial and invasive tumors were arrayed. 73 invasive tumors out of 142 tumors were used for muscle invasive baldder cancer classification
2014-02-10 | E-GEOD-48075 | biostudies-arrayexpress
Project description:Objective was to identify urine cell-free microRNAs enabling early non-invasive detection of bladder cancer. Total RNA enriched for fraction of short RNAs was isolated using Urine microRNA purification kit (Norgen corp.). miRNA profiles were determined using the Affymetrix GeneChip miRNA 3.0 array and analyzed to identify differentially deregulated miRNA in bladder cancer patients compared with helathy controls.
2017-10-29 | E-MTAB-6102 | biostudies-arrayexpress
Project description:As no one previously examined urine-derived cells from bladder cancer patients, we performed scRNAseq to profile the diversity of these cells and their transcriptional profiles. We used scRNAseq to compare the profiles of urine-derived cells to matched tumor cells and PBMC from bladder cancer patients.
2024-05-17 | GSE267718 | GEO
Project description:Bladder cancer tissue from 11 patients diagnosed as superficial and muscle invasive and 7 normal bladder mucoa were analyzed by protein antibody array kit with 656 antibodies
2015-06-11 | GSE69736 | GEO