Mutations in progression of urothelial carcinoma of the bladder
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB41286 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:At diagnosis approximately 75% of bladder urothelial carcinomas are non muscle invasive bladder cancers (Ta, T1 and Tis), 20% are muscle invasive bladder cancer (T2-T4) and 5% are already metastatic. Non muscle invasive bladder cancers are characterized by tumor recurrence in 60% to 85% of cases and, therefore, long-term followup is needed. The current standard methods to detect and monitor bladder cancer are cystoscopy and cytology. Cystoscopy is an invasive method and cytology is hampered by low sensitivity, especially for low grade tumors. So there is need to develop reliable and noninvasive methods to detect and predict bladder cancer biological behavior. So we have performed high density oligonucleotide microarray for discovery of new molecular markers to diagnose and predict the outcome of bladder cancer. Under an ethical guideline of Chhatrapati Shahuji Maharaj Medical University, India histologically confirmed seven bladder cancer patients were recruited from Department of Urology, Chhatrapati Shahuji Maharaj Medical University, Lucknow, India. Total RNA was extracted from tumor biopsies and hybridized on affymetrix Human Gene ST 1.1 array to determine differentially expressed genes in urinary bladder cancer with muscle invasion in comparison of normal human urinary bladder.
2012-02-22 | E-GEOD-23732 | biostudies-arrayexpress
Project description:Inverted papilloma (IP) of the urinary bladder is a relatively rare neoplasm that accounts for < 1% of bladder tumor. Although generally accepted as a benign lesion, occasional reports of IP admixed with urothelial carcinoma (UC) or IP patients with synchronous or metachronous UC have raised a concern in the biologic potential of IP.
2022-05-20 | PXD027602 | Pride
Project description:It is unclear how urothelial carcinoma of the urinary bladder change, genetically and phenotypically, as patients progress from recurrent non muscle-invasive (NMI) to muscle-invasive (MI) disease or disease that require radical cystectomy. This data set contains gene expression data from 200 samples in a longitudinal study of such patients. Overlap with previously GEO-published cohorts from our lab is described in the metadata.
2020-01-20 | GSE128959 | GEO
Project description:At diagnosis approximately 75% of bladder urothelial carcinomas are non muscle invasive bladder cancers (Ta, T1 and Tis), 20% are muscle invasive bladder cancer (T2-T4) and 5% are already metastatic. Non muscle invasive bladder cancers are characterized by tumor recurrence in 60% to 85% of cases and, therefore, long-term followup is needed. The current standard methods to detect and monitor bladder cancer are cystoscopy and cytology. Cystoscopy is an invasive method and cytology is hampered by low sensitivity, especially for low grade tumors. So there is need to develop reliable and noninvasive methods to detect and predict bladder cancer biological behavior. So we have performed high density oligonucleotide microarray for discovery of new molecular markers to diagnose and predict the outcome of bladder cancer.
2012-02-22 | GSE23732 | GEO
Project description:Here we report the discovery of truncating mutations of the gene encoding the cohesin subunit STAG2, which regulates sister chromatid cohesion and segregation, in 36% of papillary non-invasive urothelial carcinomas and 16% of invasive urothelial carcinomas of the bladder. Our studies suggest that STAG2 has a role in controlling chromosome number but not the proliferation of bladder cancer cells. These findings identify STAG2 as one of the most commonly mutated genes in bladder cancer. Affymetrix CytoScan HD Arrays were performed according to the manufacturer's directions on genomic DNA extracted directly from 12 snap-frozen human urothelial carcinoma primary tumors with somatic mutations of the STAG2 gene.
2013-06-30 | GSE41581 | GEO
Project description:Thiele2013 - Urinary bladder urothelial cells
The model of urinary bladder urothelial cells metabolism is derived from the community-driven global reconstruction of human metabolism (version 2.02, MODEL1109130000
).
This model is described in the article:
A community-driven global reconstruction of human metabolism.
Thiele I, et al
.
Nature Biotechnology
Abstract:
Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven,
consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared
with its predecessors, the reconstruction has improved topological and functional features, including ~2x more reactions and ~1.7x more unique metabolites. Using
Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic
data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically
generated a compendium of 65 cell type-specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will
facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.
This model is hosted on BioModels Database
and identified by: MODEL1310110035
.
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.
2005-01-01 | MODEL1310110035 | BioModels
Project description:Objectives: Much of the information to date in terms of subtypes and function of bladder urothelial cells were derived from anatomical location or by the expression of a small number of marker genes. To have a comprehensive map of the cellular anatomy of bladder urothelial cells, we performed single-cell RNA-sequencing to thoroughly characterize mouse bladder urothelium. Materials and methods: A total of 18,917 single cells from mouse bladder urothelium was analyzed by unbiased single-cell RNA sequencing. The expression of the novel cell marker was confirmed by immunofluorescence using urinary tract infections models. Results: Unsupervised clustering analysis identified 8 transcriptionally distinct cell subpopulations from mouse bladder urothelial cells. We discovered a novel type of bladder urothelial cells marked by Plxna4 that may be involved with host response and wound healing. We also found a group of basal-like cells labeled by ASPM that could be the progenitor cells of adult bladder urothelium. ASPM+ urothelial cells are significantly increased after injury by UPEC. In addition, specific transcription factors were found to be associated with urothelial cell differentiation. At the last, a number of interstitial cystitis/bladder pain syndrome-regulating genes were found differentially expressed among different urothelial cell subpopulations. Conclusions: Our study provides a comprehensive characterization of bladder urothelial cells, which is fundamental to understanding the biology of bladder urothelium and associated bladder disease.
2020-12-12 | GSE163029 | GEO
Project description:Activation of oncogenic ras pathway accounts for up to 90% low-grade superficial urothelial carcinomas of bladder, and p53 deficiency is very common in high-grade muscle invasive carcinomas. These two pathways in bladder urothelial tumorigenesis used to be considered divergent and their potential collaboration has not been illustrated. We did laser capture micro-dissection (LCM) to separate the tumor cells from the whole bladder tissues from H-ras transgenic and p53 knockout mice, as well as normal urothelial cells as control. Microarray was then performed to identify distinct classes of up-regulated genes during tumorigenesis and progression. In order to get the gene expression profiles of carcinoma in situ (CIS), muscle invasive tumors and normal cells, we used LCM to purify the cells from mixture of different types of cells, and then extracted RNA for microarray. There are three groups applied in microarray, which are normal cells as control, CIS (tumor genesis) and invasive tumors (tumor progression).
2015-01-08 | E-GEOD-64756 | biostudies-arrayexpress
Project description:RNA sequencing of chemotherapy-resistant muscle-invasive urothelial bladder cancer
| PRJNA606179 | ENA
Project description:Purpose: The goals of this study are to compare 1. The transcription profile in KDM6A wildtype and KDM6A mutated urothelial bladder carcinoma. 2. The transcriptional changes in KDM6A mutated urothelial bladder carcinoma upon EZH2 inhibitor treatment.
2017-03-01 | GSE92723 | GEO