Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

FLI1 and FRA1 transcription factors drive the transcriptional regulatory networks characterizing muscle invasive bladder cancer

ABSTRACT: Identification of transcriptional regulatory networks in muscle invasive and non-muscle invasive bladder cancer cell lines

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Urinary Bladder

SUBMITTER: Gülden ÖZDEN YILMAZ

LAB HEAD: Serap ERKEK OZHAN

PROVIDER: PXD028665 | Pride | 2023-02-17

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Similar Datasets

FLI1 and FRA1 transcription factors drive the transcriptional regulatory networks characterizing muscle invasive bladder cancer

Project description:Bladder cancer is mostly present in the form of urothelium carcinoma, causing over 150.000 deaths each year. Its histopathological classification as muscle invasive and non-muscle invasive is the most prominent aspect, affecting the prognosis and progression of this disease. In this study, we defined the active regulatory landscape of MIBC and NMIBC cell lines using H3K27ac-seq and used an integrative data approach to combine our findings with existing data. Our analysis revealed FRA1 and FLI1 as the two critical transcription factors differentially regulating MIBC regulatory landscape. Importantly, we show that FRA1 and FLI1 regulate the genes involved in epithelial cell migration and cell junction organization. Knock-down of FRA1 and FLI1 in MIBC revealed the downregulation of several EMT-related genes such as MAP4K4 and FLOT1. Further, ChIP-SICAP performed for FRA1 and FLI1 enabled us to infer chromatin binding partners of these two transcription factors and link this information with their target genes, providing a comprehensive regulatory circuit for the genes implicated in invasive ability of the bladder cancer cells. Finally, we show that knock-down of FRA1 and FLI1 results in statistically significant less migration of cells using IC-CHIP assays. Our results collectively highlight the role of these two transcription factors in invasive characteristics of bladder cancer in selection and design of targeted options for treatment of MIBC.

2023-02-20 | GSE213533 | GEO

Expression profile of non-muscle invasive (superficial) bladder carcinoma

Project description:Gene expression profiling of 82 human non-muscle invasive bladder carcinoma and 4 normal bladder samples, for a total of 86 tissues. A Cartes d‚àö‚â†Identite des Tumeurs (CIT) study from the 'Institut Curie' and the french 'Ligue Nationale Contre le Cancer' (http://cit.ligue-cancer.net/).

2015-01-01 | E-MTAB-1940 | biostudies-arrayexpress

RNA-sequencing of Non-muscle Invasive Bladder cancer (NMIBC)

Project description:This RNA-sequencing cohort includes 52 Non-muscle Invasive Bladder cancer (NMIBC) samples and 6 Muscle Invasive Bladder cancer (MIBC) samples.

| EGAS00001004358 | EGA

Comparison of gene expression profiling of human non-muscle invasive bladder cancer and muscle invasive bladder cancer

Project description:The biological behaviors, clinical treatment, prognosis of nonmuscle-invasive bladder cancers (NMIBCs) and muscle-invasive bladder cancers (MIBCs) are distinct. Therefore, we performed high-through microarray screening of mRNA expression in 30 bladder tumors, to filter out some of the differential expression genes in NMIBCs and MIBCs.A total of 11 Genes in MIBCs versus in NMIBCs were considered differentially transcribed if they were transcribed ≤2.0 fold change and p<0.001 by unpaired T-test, including 9 up-regulated genes and 2 down-regulated genes in MIBCs (NR4A2, PLK3, CYR61, APOLD1, C13ORF33, LIG4, RBMS3, PCK2, AK098422, HSD17B3, RTN4). These candidate genes were validated in further and provide further insight into the discovery of new putative markers to identify MIBCs preoperatively.

2018-12-01 | GSE77952 | GEO

Impact of Immune and Stromal Infiltration on Outcomes Following Bladder-Sparing Trimodality Therapy for Muscle-Invasive Bladder Cancer

Project description:Background: Bladder-sparing trimodality therapy (TMT) is an alternative to radical cystectomy (RC) for muscle-invasive bladder cancer (MIBC), and biomarkers to inform therapy selection are needed. Objective: To evaluate immune and stromal signatures in MIBC treated with TMT.

2019-03-23 | GSE128701 | GEO

Recurrence in non-muscle invasive bladder cancer

Project description:Although non muscle-invasive bladder cancer can be treated successfully by surgical resection, there is a high rate of recurrence, which frequently develops into an invasive form of cancer. Due to the lack of marker molecules to predict recurrence, it is currently recommended that after resection each patient is screened via cystoscopy at least twice a year. This results in a psychic burden to the patient and substantial economic costs to the health care system. Using antibody microarrays targeting 724 different cancer-related proteins, we studied protein profiles of patients with and without recurrence. The analysis revealed 255 proteins of differential abundance. Most are involved in the regulation and execution of apoptosis and cell proliferation. For prognosis, a signature of 20 proteins was determined that predicts bladder cancer recurrence with 100% sensitivity and 80% specificity. As a measure of overall accuracy, the area under the curve (AUC) value was found to be 90%. This is well within a clinically relevant window of quality and should support decision making about the stringency of surveillance or even different treatment options.

2014-04-07 | E-MEXP-3625 | biostudies-arrayexpress

Bladder cancer expression profiling

Project description:Cystoscopic bladder biopsies were obtained from 19 patients and 11 controls between 2004 and 2005. Whole transcript based arrays were used to identify differences in expression profile between cancer and normal, muscle-invasive or non-muscle invasive cancer and normal, grade 1 and grade 3 bladder cancer.

2014-07-01 | E-MTAB-1560 | biostudies-arrayexpress

Kinome expression profiling of muscle invasive bladder cancer (MIBC) patients

Project description:Muscle invasive bladder cancer (MIBC) is one of the aggressive cancer with limited treatment options. Targeted gene expression profiling in normal and tumor samples from MIBC patients could aid in identification of potential therapeutic targets. Thus we used kinase specific panel to study their expression pattern and to identify targetable genes.

2020-04-20 | GSE130598 | GEO

Urinary Glycoproteomic profiling of Non-Muscle Invasive and Muscle Invasive Bladder Carcinoma Patients reveals distinct N-glycosylation pattern of CD44, MGAM and GINM1

Project description:Clinical management of bladder carcinomas (BC) remains a major challenge and demands comprehensive multi-omics analysis for better stratification of the disease. Identification of patients on risk requires identification of signatures predicting prognosis risk of the patients. Understanding the molecular alterations associated with the disease onset and progression could improve the routinely used diagnostic and therapy procedures. In this study, we investigated the aberrant changes in N-glycosylation pattern of proteins associated with tumorigenesis as well as disease progression in bladder cancer. We integrated and compared global N-glycoproteomic and proteomic profile of urine samples from bladder cancer patients at different clinicopathological stages (non-muscle invasive and muscle-invasive patients (n=5 and 4 in each cohort)) with healthy subjects (n=5) using SPEG method. We identified 635 N-glycopeptides corresponding to 381 proteins and 543 N-glycopeptides corresponding to 326 proteins in NMIBC and MIBC patients respectively. Moreover, we identified altered glycosylation in 41 NMIBC and 21 MIBC proteins without any significant change in protein abundance levels. In concordance with the previously published bladder cancer cell line N-glycoproteomic data, we also observed dysregulated glycosylation in ECM related proteins. Further, we identified distinct N-glycosylation pattern of CD44, MGAM and GINM1 between NMIBC and MIBC patients, which may be associated with disease progression in bladder cancer. These aberrant protein glycosylation events would provide a novel approach for bladder carcinoma diagnosis and further define novel mechanisms of tumor initiation and progression.

2020-09-10 | PXD020078 | Pride

Whole genome expression data from human urinary bladder cancer

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

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data