Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

5 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A five-gene expression signature to predict progression in T1G3 bladder cancer

ABSTRACT: To analyze the gene expression profiles of progressive and non-progressive T1G3 bladder cancer (BCa) patients in order to develop a gene expression signature to predict tumour progression. Multicenter, retrospective study of formalin-fixed paraffin embedded (FFPE) tissue samples from 96 T1G3 BCa patients who underwent a transurethral resection. Patients with concomitant CIS were excluded. Global gene expression patterns were analyzed in 21 selected samples from progressive and non-progressive T1G3 BCa patients using microarrays. Expression levels of 94 key genes selected from microarrays and from the literature were studied by quantitative PCR in an independent cohort of 75 samples from progressive and non-progressive T1G3 BCa patients. Univariate logistic regression was used to identify individual predictors. Progressive and non-progressive T1G3 BCa patients show different gene expression patterns. Identification of new genes associated with a high probability of tumour progression in combination with a robust, easy-to-use and reliable algorithm may contribute to tailor treatment and surveillance strategies in these patients. Transcriptomic profile from nine non-progressive and twelve progressive T1G3 bladder cancer FFPE samples

ORGANISM(S): Homo sapiens

SUBMITTER: Juanjo Lozano

PROVIDER: E-GEOD-57813 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

A five-gene expression signature to predict progression in T1G3 bladder cancer

Project description:To analyze the gene expression profiles of progressive and non-progressive T1G3 bladder cancer (BCa) patients in order to develop a gene expression signature to predict tumour progression. Multicenter, retrospective study of formalin-fixed paraffin embedded (FFPE) tissue samples from 96 T1G3 BCa patients who underwent a transurethral resection. Patients with concomitant CIS were excluded. Global gene expression patterns were analyzed in 21 selected samples from progressive and non-progressive T1G3 BCa patients using microarrays. Expression levels of 94 key genes selected from microarrays and from the literature were studied by quantitative PCR in an independent cohort of 75 samples from progressive and non-progressive T1G3 BCa patients. Univariate logistic regression was used to identify individual predictors. Progressive and non-progressive T1G3 BCa patients show different gene expression patterns. Identification of new genes associated with a high probability of tumour progression in combination with a robust, easy-to-use and reliable algorithm may contribute to tailor treatment and surveillance strategies in these patients.

2016-07-29 | GSE57813 | GEO

Identification of a novel set of DNA methylation markers in bladder cancer using MBD-methylCap/seq and urine DNA screening in a Chinese population

Project description:The aim of the present study was to identify novel DNA methylation markers in bladder cancer (BCa) through genome-wide profiling of bladder cancer cell lines and subsequent MSP screening in urine samples. Experimental Design: MBD methylCap/seq was carried out to screen differentially methylated CpG islands using two BCa cell lines (5637 and T24) and two normal bladder mucosa (BM) samples. The top one hundred most hypermethylated targets were screened using Methylation Specific PCR (MSP) in small and big cohort of urine samples from BCa patients and normal controls. The diagnostic performance of the gene panel was further evaluated in different clinical scenarios. Results: In total, 1,627 gene promoter regions hypermethylated in BCa cell line were identified in genomic level methylation profiling. The followed screening procedure in clinical urine sample generated eight genes (VAX1, KCNV1, ECEL1, TMEM26, TAL1, PROX1, SLC6A20, and LMX1A) capable of differentiating BCa from normal control. Subsequent validation in a large sample size enabled the optimisation of 5 methylation targets (VAX1, KCNV1, TAL1, PPOX1 and CFTR) for BCa diagnosis with sensitivity and specificity of 86.32% and 87.13%, respectively. In addition, VAX1 and LMX1A methylation could predict the tumour recurrence. Conclusions: Tumor specific biomarkers of BCa could be established by first performing genome level methylation profiling with cell lines and then screening the potential targets in urine samples. The panel of methylated genes identified was promising for the early non-invasive detection and surveillance of BCa. MBD methylCap/seq was carried out to screen differentially methylated CpG islands using two BCa cell lines (5637 and T24), and two normal bladder tissue mix as control.

2012-04-30 | E-GEOD-33839 | biostudies-arrayexpress

Identification of a novel set of DNA methylation markers in bladder cancer using MBD-methylCap/seq and urine DNA screening in a Chinese population

2012-05-01 | GSE33839 | GEO

Stability of miRNA in FFPE tumour samples exhibiting degraded mRNA

Project description:This SuperSeries is composed of the following subset Series: GSE39013: Stability of miRNA in FFPE tumour samples exhibiting degraded mRNA [Cervix samples series 1] GSE39014: Stability of miRNA in FFPE tumour samples exhibiting degraded mRNA [Cervix samples series 2] GSE39015: Stability of miRNA in FFPE tumour samples exhibiting degraded mRNA [Cervix samples miRNA] GSE39016: Stability of miRNA in FFPE tumour samples exhibiting degraded mRNA [Bladder samples] GSE39066: Stability of miRNA in FFPE tumour samples exhibiting degraded mRNA [cell lines] Refer to individual Series

2012-07-03 | E-GEOD-39067 | biostudies-arrayexpress

Homo sapiens

Project description:Stability of miRNA in FFPE tumour samples exhibiting degraded mRNA [Bladder samples]

| PRJNA169870 | ENA

LncRNA and mRNA expression patterns in bladder cancer patients with lymph nodes metastasis.

Project description:Bladder cancer (BCa) is one of the most common cancers in urinary system worldwide. And lymphatic metastasis is one of the most common route and its status associates with prognosis for BCa patients. However, the precise molecular mechanisms of BCa metastasis and progression remain poorly understood. Recent studies have shown that long non-coding (lncRNA) plays critical roles in a myriad of biological processes and human diseases. The roles of lncRNA in BCa lymph nodes metastasis remain unknown. In the current study, we revealed thousands of differentially expressed lncRNAs in BCa primary tumor tissues vs. metastatic lymph nodes. We may provide novel insight into the molecular mechanism underlying the disease and potential novel diagnostic or therapeutic targets for BCa.

2018-10-25 | GSE121738 | GEO

Different gene expression profiles between de novo and progressive muscle invasive bladder cancer: prognostic implications

Project description:INTRODUCTION: Progressive muscle-invasive bladder cancer (MIBC) has more aggressive behavior than de novo MIBC. This study aimed to ascertain the differences in gene expression profiles between both MIBC groups and to identify prognostic biomarkers to improve the treatment in these patients. MATERIAL AND METHODS: Retrospective multicentre study in which 212 MIBC patients (104 progressive and 108 de novo) who underwent radical cystectomy in the Hospital Clinic (Barcelona) and Radboud UMC (Nijmegen) were included. Total RNA from formalin-fixed paraffin-embedded tissue samples was obtained. Gene expression profiles of 27,965 coding transcripts were determined in 26 patients using Illumina microarrays. Expression levels of 94 genes selected from microarray data and literature were studied by quantitative PCR in an independent series of 186 de novo and progressive MIBC patients. Survival analysis was performed with the Kaplan-Meier method. R-software and SPSSv23 were used for all calculations. RESULTS: A total of 480 genes were found differently expressed (FDR<0.01) between progressive and de novo MIBC samples. Differential expression of 23 out of the 94 genes selected was validated in an independent set of samples. Survival analysis showed that expression of eight genes were prognostic factors of BCR. CONCLUSION: De novo and progressive MIBC patients show different gene expression profiles. In addition, we have identified eight genes with prognostic value which may contribute to improve BC risk stratification and, consequently, to tailor treatment and surveillance strategies in these patients.

2021-03-23 | GSE149582 | GEO

Expression data for UPEC and GBS cystitis in female C57BL/6 mice

Project description:Data defines for the first time a whole bladder transcriptome of UPEC cystitis in female C57BL/6 mice using genome-wide expression profiling and temporal analysis to map early host response pathways stemming from UPEC colonization We used microarrays to detail the global programme of gene expression in GBS UTI in mice over time and in UPEC UTI in mice at 24h Whole mouse bladder collected at 2h and 24h following transurethral infection for RNA extraction and hybridization on Affymetrix microarrays. Non-pooled samples were used, with one array per mouse to expand power of expression profiles. Control mice for each time point received only PBS as a mock infection. Group sizes were five mice per group, and therefore five arrays were used per group. Whole mouse bladder collected at 24h following transurethral infection for RNA extraction and hybridization on Affymetrix microarrays. Non-pooled samples were used, with one array per mouse to expand power of expression profiles. Control mice for each time point received only PBS as a mock infection. Group sizes were five mice per group, and therefore five arrays were used per group.

2012-06-30 | E-GEOD-27575 | biostudies-arrayexpress

Altered expression of genes in DANCR knockdown bladder cancer cells

Project description:The prognosis for bladder cancer (BCa) patients with lymph node (LN) metastasis is forlorn and restrainedly improved by current treatment. DANCR is reported to play a role in prostate cancer and liver cancer. However, its function and underlying mechanism in BCa remains unknown. The goal of this study is to identify the target genes of DANCR in bladder cancer. Our results indicate that the genes regulated by DANCR are involved in a variety of biological functions, such as proliferation and metastasis.

2019-09-01 | GSE119639 | GEO

mRNA Expression data from bladder cancer and normal bladder tissue

Project description:Bladder cancer (BCa) is one of the most common malignancy of the urinary tract. In order to improve the diagnosis, prevention and treatment of BCa, the details of molecular mechanisms underlying the tumorigenesis and development needs to be clarified. Results provide insight into molecular mechanisms underlying the mRNA and miRNA interactions in BCa. 3 human bladder cancer tissues and 3 normal bladder tissues were analyzed using microarray. The alteration of mRNA and miRNA expression between the 2 groups were detected.

2017-02-22 | GSE76211 | GEO

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