Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Altered expression of genes in DANCR knockdown bladder cancer cells

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE119639 | GEO | 2019/09/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Next Generation Sequencing Quantitative Analysis of altered expression of genes in LINC00665 overexpressing bladder cancer cells

Project description:Bladder cancer (BCa) is one of the most commonly diagnosed urinary malignancies with an estimated yearly 550,000 new cases worldwide. Previous study revealed that LINC00665 was a crucial oncogene that widely involved in tumor initiation and progression. Yet the biological role and underlying regulatory mechanism of LINC00665 in lymph node (LN) metastasis of bladder cancer (BCa) remain unclear. Our study aims to explore the target genes of LINC00665 and the underlying mechanism in the LN metastasis of BCa.

2022-03-12 | GSE190650 | GEO

Next Generation Sequencing Quantitative Analysis of altered expression of genes in DHCR24 overexpressing bladder cancer cells

Project description:Bladder cancer (BCa) is one of the most commonly diagnosed urinary malignancies with an estimated yearly 550,000 new cases worldwide. Previous study revealed that DHCR24 was a crucial oncogene that widely involved in tumor initiation and progression. Yet the biological role and underlying regulatory mechanism of DHCR24 in lymph node (LN) metastasis of bladder cancer (BCa) remain unclear. Our study aims to explore the target genes of DHCR24 and the underlying mechanism in the LN metastasis of BCa.

2023-11-10 | GSE219211 | GEO

exosomal ELNAT1 promotes lymphatic metastasis of bladder cancer

Project description:The crosstalk between tumor cells and LECs triggers the LN metastasis in bladder cancer (BCa), but the underlying mechanisms are not completely understood. Previously, we identified that BCa-secreted extracellular vesicles (EVs)-packaged lncRNAs mediated the communication with LECs and promoted LN metastasis. To evaluate whether EV-packaged lncRNAs triggered the LN metastasis of BCa, next-generation sequencing (NGS) to the global expression profiles of lncRNAs was utilized in the urinary EVs (urinary-EV) of five MIBC patients and five healthy volunteers.

2020-11-16 | GSE156308 | GEO

Altered expression of genes in DANCR knockdown bladder cancer cells

Project description:Altered expression of genes in DANCR knockdown bladder cancer cells

| PRJNA489841 | ENA

Next Generation Sequencing Quantitative Analysis of altered expression of genes in lncRNA ELNAT1 knockdown bladder cancer cells

Project description:Bladder cancer (BCa) is one of the most common genitourinary malignancies worldwide, with a high recurrence and mortality rate. Previous study revealed that EV-packaged ELNAT1 played an important role in the occurrence and development of human cancer. However, the specific mechanism of EV-packaged ELNAT1 in inducing the lymphangiogenesis and lymphatic metastasis of BCa is still unclear. Our study aims to detect the target genes of ELNAT1 and the underlying mechanism in the lymphatic metastasis of BCa.

2020-11-20 | GSE156461 | GEO

Long noncoding RNA LNMAT1 promotes lymphatic metastasis in bladder cancer

Project description:Long non-coding RNAs (lncRNAs) are a large class of non-protein-coding transcripts that are over 200nt in length. LncRNAs have emerged as key regulator of biological process involved in the development and progression of bladder cancer. Bladder cancer is one of the most common genitourinary malignancies worldwide, with approximately 429,800 new cases and 165,100 deaths annually in the world. To identify critical lncRNAs that contributes to the progression of bladder cancer, Next generation sequencing (NSG) was performed in five paired high-grade muscle invasive bladder cancer (MIBC) and normal adjacent tissues (NAT), and in five lymph node (LN)-positive and LN-negative bladder cancer tissues. Our results indicate that the differential expressed lncRNAs in both MIBC tissues and LN-positive tissues associated in a variety of biological functions, such as metastasis.

2018-06-01 | GSE106534 | GEO

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

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

Next Generation Sequencing Quantitative Analysis of altered expression of genes in circNCOR1 overexpressing bladder cancer cells

Project description:Bladder cancer (BCa) is one of the most common genitourinary malignancies worldwide, with approximately 429,800 new cases and 165,100 deaths annually in the world. Recently, circular RNA (circRNA), a class of non-coding RNA generated from pre-mRNA back splicing, has emerged as crucial mediator in various tumor initiation and progression. To identify molecular mechanism of circNCOR1 in the progression of BCa, Next generation sequencing (NSG) was performed to explore the target genes of circNCOR1 in BCa.

2022-03-12 | GSE190827 | GEO

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. Transcriptomic profile from nine non-progressive and twelve progressive T1G3 bladder cancer FFPE samples

2016-07-29 | E-GEOD-57813 | 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