RNA-sequencing of a clear cell renal cell carcinoma cell line, OS-RC-2
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE131137 | GEO | 2020/10/28
REPOSITORIES: GEO
Similar Datasets
Project description:Advanced clear cell renal cell carcinoma (ccRCC) frequently causes systemic inflammation. Here, we identified the functional role and regulatory mechanism of inflammation driven by advanced ccRCC cells. The inflammatory nature of advanced ccRCC was recapitulated in a preclinical model of ccRCC. Amplification of cancer cell-intrinsic inflammation during ccRCC progression triggered neutrophil-dependent lung metastasis. Massive expression of inflammation-related genes was transcriptionally activated by epigenetic remodelling through mechanisms such as DNA demethylation and super-enhancer formation. Bromodomain and extra-terminal motif inhibitor (BETi) synchronously suppressed C–X–C-type chemokines in ccRCC cells and decreased neutrophil-dependent lung metastasis. Overall, our findings shed insight into the nature of inflammatory ccRCC, which triggers metastatic cascades, and suggest a potential therapeutic strategy.
2020-10-28 | GSE131138 | GEO
Project description:Advanced clear cell renal cell carcinoma (ccRCC) frequently causes systemic inflammation. Here, we identified the functional role and regulatory mechanism of inflammation driven by advanced ccRCC cells. The inflammatory nature of advanced ccRCC was recapitulated in a preclinical model of ccRCC. Amplification of cancer cell-intrinsic inflammation during ccRCC progression triggered neutrophil-dependent lung metastasis. Massive expression of inflammation-related genes was transcriptionally activated by epigenetic remodelling through mechanisms such as DNA demethylation and super-enhancer formation. Bromodomain and extra-terminal motif inhibitor (BETi) synchronously suppressed C–X–C-type chemokines in ccRCC cells and decreased neutrophil-dependent lung metastasis. Overall, our findings shed insight into the nature of inflammatory ccRCC, which triggers metastatic cascades, and suggest a potential therapeutic strategy.
2020-10-28 | GSE131139 | GEO
Project description:Tumor-specific alternative splicing is implicated in the progression of cancer, including clear cell renal cell carcinoma (ccRCC). Using ccRCC RNA-sequencing data from The Cancer Genome Atlas, we found that epithelial splicing regulatory protein 2 (ESRP2), one of the key regulators of alternative splicing in epithelial cells, is expressed in ccRCC. ESRP2 mRNA expression did not correlate with the overall survival rate of ccRCC patients, but the expression of some ESRP-target exons correlated with the good prognosis and with the expression of Arkadia (also known as RNF111) in ccRCC. Arkadia physically interacted with ESRP2, induced polyubiquitination, and modulated its splicing function. Arkadia and ESRP2 suppressed ccRCC tumor growth in a coordinated manner. Lower expression of Arkadia correlated with advanced tumor stages and poor outcomes in ccRCC patients. This study thus reveals a novel tumor-suppressive role of the Arkadia-ESRP2 axis in ccRCC.
2015-08-01 | GSE66741 | GEO
Project description:Tumor-specific alternative splicing is implicated in the progression of cancer, including clear cell renal cell carcinoma (ccRCC). Using ccRCC RNA-sequencing data from The Cancer Genome Atlas, we found that epithelial splicing regulatory protein 2 (ESRP2), one of the key regulators of alternative splicing in epithelial cells, is expressed in ccRCC. ESRP2 mRNA expression did not correlate with the overall survival rate of ccRCC patients, but the expression of some ESRP-target exons correlated with the good prognosis and with the expression of Arkadia (also known as RNF111) in ccRCC. Arkadia physically interacted with ESRP2, induced polyubiquitination, and modulated its splicing function. Arkadia and ESRP2 suppressed ccRCC tumor growth in a coordinated manner. Lower expression of Arkadia correlated with advanced tumor stages and poor outcomes in ccRCC patients. This study thus reveals a novel tumor-suppressive role of the Arkadia-ESRP2 axis in ccRCC. Expression of mRNA in a ccRCC cell line OS-RC-2 under the knockdown of Arkadia or ESRP2. Knock-down of ESRP2 was confirmed by RT-PCR because of low expression of ESRP2 which resulted in non-quantitative FPKM value.
2015-08-01 | E-GEOD-66741 | biostudies-arrayexpress
Project description:Cancer metastasis in the bone represents an incurable disease. About one-third of patients with advanced renal cell carcinoma (ccRCC) have bone metastasis at the time of diagnosis making it a life-threatening disease. The bone metastatic niche, including immune and stroma microenvironment, has not been defined. Here, we created a human single-cell transcriptome cell-atlas of ccRCC bone metastases, contrasted with normal bone marrow immune cells and stroma.
2023-07-17 | GSE202813 | GEO
Project description:Dunster2014 - WBC Interactions (Model1)
This is a sub-model of a three-step
inflammatory response modelling study. The model includes distinct
populations of white blood cells namely, macrophages and active and
apoptotic neutrophil populations. Neutrophil apoptosis rate is
predicted to be crucial for the qualitative nature of the
system.
This model is described in the article:
The resolution of
inflammation: a mathematical model of neutrophil and macrophage
interactions.
Dunster JL, Byrne HM, King JR.
Bull. Math. Biol. 2014 Aug; 76(8):
1953-1980
Abstract:
There is growing interest in inflammation due to its
involvement in many diverse medical conditions, including
Alzheimer's disease, cancer, arthritis and asthma. The
traditional view that resolution of inflammation is a passive
process is now being superceded by an alternative hypothesis
whereby its resolution is an active, anti-inflammatory process
that can be manipulated therapeutically. This shift in mindset
has stimulated a resurgence of interest in the biological
mechanisms by which inflammation resolves. The
anti-inflammatory processes central to the resolution of
inflammation revolve around macrophages and are closely related
to pro-inflammatory processes mediated by neutrophils and their
ability to damage healthy tissue. We develop a spatially
averaged model of inflammation centring on its resolution,
accounting for populations of neutrophils and macrophages and
incorporating both pro- and anti-inflammatory processes. Our
ordinary differential equation model exhibits two outcomes that
we relate to healthy and unhealthy states. We use bifurcation
analysis to investigate how variation in the system parameters
affects its outcome. We find that therapeutic manipulation of
the rate of macrophage phagocytosis can aid in resolving
inflammation but success is critically dependent on the rate of
neutrophil apoptosis. Indeed our model predicts that an
effective treatment protocol would take a dual approach,
targeting macrophage phagocytosis alongside neutrophil
apoptosis.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000616.
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.
2016-08-16 | BIOMD0000000616 | BioModels
Project description:The understanding of metastatic spread is limited and molecular mechanisms causing particular characteristics of metastasis are largely unknown. This comprises the extremely varying dormancy periods of tumor cells in the secondary organ after metastatic spread, represented by the disease-free survival (DFS) of the patients, or differing numbers of metastases in different patients. Knowing the molecular fundamentals of these phenomena would support the individual prediction of patients´ outcome and facilitate the decision for an appropriate monitoring and therapy regime. In a first study (PMID 19391132) we analyzed the transcriptome-wide expression profiles of 20 pulmonary metastases of renal cell carcinoma (Met1-9, Met11-18, Met20, Met23, Met25) to identify expression patterns associated with the dormancy period and the number of metastases per patient. Pre-processed and analyzed data for this study are available in GEO Series GSE14378. In this second study, we validated the DFS-associated expression pattern from the first study on four further metastases and also included primary ccRCC with different DFS. For this, the microarray data of all metastases and primary tumors were pre-processed together. The aim of this second study was to identify those genes, which are differentially expressed in metastases developed after different dormancy periods and which are already deregulated in primary tumors. Genes differentially expressed in synchronously vs. metachronously metastases might contribute functionally to the dormancy period. Genes already deregulated in primary ccRCC might be suitable for prognostic purposes. metastases manifested synchronously or metachronously (DFS less than or equal to 9 months compared with DFS greater than or equal to 60 months); primary ccRCC which developed synchronous or metachronous metastases (DFS less than or equal to 6 months compared with DFS greater than or equal to 45 months)
2010-07-30 | E-GEOD-22541 | biostudies-arrayexpress
Project description:Clear cell renal cell carcinoma is one of the most common diagnostic tumor, with nearly one third patients diagnosed as metastatic ccRCC. Although increasing number of studies have revealed that piwi-interacting RNAs were aberrantly expressed in diverse type of cancers, few of them explored the detailed molecular mechanism of piRNAs in carcinogenesis, particular in ccRCC. In this study, differentially expressed piRNAs associated with ccRCC was selected by using piRNA-sequencing combined with analyzing TCGA data, from which piR-57125 was identified. PiR-57125 was found remarkably downregulated in ccRCC samples. Functionally, knockdown of piR-57125 promoted migration and invasion of ccRCC, while overexpression of piR-57125 suppressed ccRCC metastasis. In vivo lung metastasis model also confirmed the same results. CCL3 was identified as the direct target of piR-57125 which could reverse the inhibition effect of piR-57125 in ccRCC metastasis. Further studies revealed that piR-57125 modulated ccRCC metastasis through AKT/ERK pathway. Those data indicate that piR-57125 restrains ccRCC metastasis through directly targeting CCL3 and inhibiting AKT/ERK pathway, and could be a potential therapeutic target for ccRCC.
2021-09-08 | GSE183496 | GEO
Project description:This study investigates the genes that promote clear cell renal cell carcimoma (ccRCC) metastasis using 4 primary metastatic and 5 non-metastatic tumor samples. U133 plus 2.0 array was used to identify the diffrently expressed genes between the primary metastatic and non metastatic ccRCC samples To identify differences in gene expression assoctiated with ccRCC metastasis, 4 primary metastatic and 5 non-metastatic ccRCC samples were used to perform expression profiling.
2013-05-25 | E-GEOD-47352 | biostudies-arrayexpress
Project description:Metastatic clear cell renal cell carcinoma (ccRCC) has a poor prognosis and unpredictable course and there are no molecular markers that reliably predict ccRCC metastasis. In this study, specimens from 84 patients with ccRCC were directly cultured in vitro. The primary cultures from 38 of 94 specimens contained more than 90% tumor cells at 4th passages. After identified by immunostaining, the primary cultures of metastatic- and nonmetastatic ccRCC specimens from the age-, gender-matched patients were subjected to cDNA microrray assays. A total of 842 differentially expressed genes with FDR (false discovery rate) = 4.79% were identified by using SAM (Significance Analysis of Microarray) software. Pathway enrichment and co-occurrence with “cancer”, “metastasis” and “invasion” in the literature annotations enriched the functions of the 842 genes and indicated the reliability of our microarray assays. Novel genes associated with metastasis were selected based on intra-molecular interaction between 205 differentially expressed genes co-occurred with “metastasis” and those not appeared with “metastasis” on Medline, as well as co-expression analysis between 205 differentially expressed genes co-occurred with “metastasis” and those not appeared on Medline in 12 microarray data. FSTL1, AV722783, SLC15A1, DDX17, ORC2L and PKMYT1 were proved to be potential ccRCC metastasis-associated novel genes, based on its expression patterns in the cultures and tumor tissues. Interestingly, the up-regulated genes (CAV1, PKMYT1 and ORC2L) were up-regulated and the down-regulated genes (FSTL1, GSTM3, CYR61, SLC15A1 and AV722783) were down-regulated, in the primary ccRCC specimens as compared with its adjacent normal kidney in 37 patients (determined by semi-quantitative RT-PCR). This study provides potential biomarkers and novel molecular targets for the early diagnosis and treatment of ccRCC metastasis. Keywords: Homo sapiens Because of limited cell number of primary cultures, total RNA of the primary cultures from 2 age and gender matched patients was pooled for each microarray assay. Each assay was technically repeated once. Cy3-labeled 1st cDNA synthesized from total RNA of the metastatic ccRCC pool was mixed with Cy5-labeled 1st cDNA synthesized from total RNA of the non-metastatic ccRCC pool, and hybridized to 16K cDNA chips (GEO Platform ID: GPL6259; SBC-R-HC-100-22, National Engineering Center for Biochip, Shanghai, China) that included 14784 unigenes, 241 negative controls and 527 positive controls. In our study we used a co-expression analysis for the relationship between genes; three gastric cancer Samples were only introduced to this analysis methods.
2008-08-27 | E-GEOD-11072 | biostudies-arrayexpress