Identifying lincRNA as prognostic biomarker for clear cell renal cell carcinoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE70602 | GEO | 2016/12/31
SECONDARY ACCESSION(S): PRJNA289133
REPOSITORIES: GEO
Similar Datasets
Project description:ObjectiveTo study the expression of adipophilin (PLIN2), a lipid storage-associated cell protein, in different subtypes of renal cell cancer and to elucidate its prognostic value.Materials and methodsTwo-hundred-seventy-five patients with renal cell carcinoma (RCC) were included in this study. Immunohistochemistry with a polyclonal antibody to adipophilin was used on the tissue microarray (formalin-fixed, paraffin-embedded tissue) for detection of adipophilin. Median follow-up time was 91 (range 1-159) months in the whole cohort and 100 (1-159) months for patients with clear-cell RCC. Additional validation for adipophilin was performed using publicly available gene expression data for clear cell RCC from The Cancer Genome Atlas (TCGA).ResultsAdipophilin expression was detected in 14.3% of papillary RCC, in 0% of chromophobe RCC and in 58.7% of clear-cell RCC in the cytoplasm or at the membrane. Only membrane expression was correlated with other clinical parameters (pT-stage, pN-stage, R-status, sex) and showed a prognostic significance in univariate analysis with regard to overall survival of patients with clear cell subtype (HR 2.90, 95% CI 1.55-5.42, p=0.001), which failed significance on multivariate analysis. mRNA expression of PLIN2 on TCGA data using best selected cut-off was prognostically significant in both univariate (HR 1.76, 95% CI 1.28-2.42, p = 0.0005) and multivariate analyses (HR 1.46, 95% CI 1.05-2.04, p = 0.0257).ConclusionsAdipophilin is a novel and still understudied prognostic biomarker in clear cell renal cell carcinoma which deserves further study.
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Project description:Here we analyzed ccRCC 786-O cells with overexpressed Parkin in contrast to wild type and control cells. While differences between 786-O wild type and control cells were rather moderate, quite some differences were found between 786-O wild type/control cells and cells overexpressed with Parkin.
2022-02-16 | PXD029398 | Pride
Project description:ObjectiveThe objective of the study was to investigate the expression of LAMTOR3 in kidney renal clear cell carcinoma (KIRC) and its clinical significance.MethodsThe expression of LAMTOR3 in KIRC and its relationship with clinical features were analyzed using the UALCAN online database. The results were verified using KIRC gene chip data and clinical specimens. The prognosis of KIRC patients was analyzed with the GEPIA2 database. GO, KEGG, and GSEA analyses were conducted to analyze the possible molecular mechanism of LAMTOR3 in KIRC. Immunohistochemical (IHC) and hematoxylin and eosin (H&E) staining were used for histopathological detection.ResultsUALCAN database analysis showed that LAMTOR3 expression in KIRC was significantly lower than in normal kidney tissues and correlated with the clinical stage, pathological grade, and tumor genotype (p < .05). GSE53757 dataset analysis consistently showed that the expression of LAMTOR3 in KIRC was significantly lower than in normal kidney tissues (p < .01). GEPIA2 database analysis indicated that patients with low LAMTOR3 expression had poor overall and disease-free survival rates. GSEA analysis suggested that LAMTOR3 positively regulated the citrate cycle and drug metabolism cytochrome P450 and negatively regulated folate biosynthesis and olfactory transduction. The expression of LAMTOR3 in KIRC was also significantly correlated with immune cell infiltration. Finally, IHC showed that LAMTOR3 expression in the KIRC tissues was lower than in the adjacent normal tissues.ConclusionLAMTOR3 expression is significantly lower in KIRC. LAMTOR3 may be a potential marker for KIRC diagnosis and therapy.
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Project description:we performed the RNA-sequencing to compare the transcriptome of DPP9 KO 786-O cells and negative control 786-O cells.
2023-09-07 | GSE242367 | GEO
Project description:The experiment was performed to study high resolution gene specific changes induced by Ascorbic acid tretament in clear cell RCC cells (786-0 cell line)
2019-04-03 | GSE124610 | GEO
Project description:BackgroundClear cell renal cell carcinoma (ccRCC), derived from renal tubular epithelial cells, is the most common malignant tumor of the kidney. The study of key genes related to the pathogenesis of ccRCC has become important for gene target therapy.MethodsBioinformatics analysis of The Cancer Genome Atlas (TCGA), the NCBI Gene Expression Omnibus (GEO) database, USUC Xena database, cBioPortal for Cancer Genomics, and MethSurv were performed to examine the aberrant genetic pattern and prognostic significance of leucine-rich repeat kinase 2 (LRRK2) expression and its relationship to clinical parameters. Immunohistochemistry and Western blot were performed to verify LRRK2 expression. The regulation of ccRCC tumor cell lines proliferation by LRRK2 was examined by CCK8 assay.ResultsBioinformatics analysis showed that LRRK2 expression was up-regulated and largely correlated with DNA methylation in ccRCC. The up-regulation of LRRK2 was confirmed in ccRCC tissue immunohistochemically and by protein analysis. The level of expression was related to gender, pathological grade, stage, and metastatic status of ccRCC patients. Meanwhile, Kaplan-Meier analysis showed that high expression of LRRK2 correlates to a better prognosis; knockdown of LRRK2 expression attenuated the proliferation ability of ccRCC tumor cell lines; protein-protein interaction network analysis showed that LRRK2 interacts with HIF1A and EGFR.ConclusionWe found that LRRK2 may play an important role in the tumorigenesis and progression of ccRCC. Our findings provided a potential predictor and therapeutic target in ccRCC.
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Project description:We performed RNA-Seq analysis of wildtype and three EPAS1-/- 786-O single cell clones generated by CRISPR/Cas9 to identify the HIF-2a-responsive genes in this cell line. Samples from wildtype 786-O cells treated with DMSO or HIF-2a antagonist compound C2 were also included in this analysis.
2019-03-04 | GSE115389 | GEO
Project description:The transcription factor EVI1 plays an oncogenic role in several types of neoplasms by promoting aggressive cancer features. EVI1 contributes to epigenetic regulation and transcriptional control, and its overexpression has been associated with enhanced PI3K-AKT-mTOR signaling in some settings. These observations raise the possibility that EVI1 influences the prognosis and everolimus-based therapy outcome of clear cell renal cell carcinoma (ccRCC). Here, gene expression and protein immunohistochemical studies of ccRCC show that EVI1 overexpression is associated with advanced disease features and with poorer outcome-particularly in the CC-e.3 subtype defined by The Cancer Genome Atlas. Overexpression of an oncogenic EVI1 isoform in RCC cell lines confers substantial resistance to everolimus. The EVI1 rs1344555 genetic variant is associated with poorer survival and greater progression of metastatic ccRCC patients treated with everolimus. This study leads us to propose that evaluation of EVI1 protein or gene expression, and of EVI1 genetic variants may help improve estimates of prognosis and the benefit of everolimus-based therapy in ccRCC.
| S-EPMC7072453 | biostudies-literature
Project description:The outcome of kidney renal clear cell carcinoma (KIRC) differs even among individuals with similar clinical characteristics. DNA methylation is regarded as a regulator of gene expression in cancers, which may be a molecular marker of prognosis. In this study, we aimed to mine novel methylation markers of the prognosis of KIRC. We revealed a total of 2793 genes differentially methylated in their promoter regions (DMGs) and 2979 differentially expressed genes (DEGs) in KIRC tissues compared with normal tissues using The Cancer Genome Atlas datasets. Then, we detected 57 and 34 subpathways enriched among the DMGs and DEGs, respectively, using the R package iSubpathwayMiner. We retained 56 subpathways related to both aberrant methylation and expression based on a hypergeometric test for further analysis. An integrated gene regulatory network was constructed using the regulatory relationships between genes in the subpathways. Using the top 15% of the nodes from the network ranked by degree, survival analysis was performed. We validated four DNA methylation signatures (RAC2, PLCB2, VAV1, and PARVG) as being highly correlated with prognosis in KIRC. These findings suggest that DNA methylation might become a prognostic predictor in KIRC and could supplement histological prognostic prediction.
| S-EPMC5354907 | biostudies-literature
Project description:While analyzing mRNA expression profiles of clear cell renal cell carcinoma (ccRCC) tumors, we found that the mRNAs that are bound at their 3' UTRs by muscleblind-like splicing regulator 2 (Mbnl2) and epithelial splicing regulatory protein 2 (ESRP2) are up-regulated in tumor compared to patient-matched normal tissues. Given that MBNL2 increases the stability of its targets and ESRP2 destabilizes its targets, we predicted that, in ccRCC tumors, MBNL2 activity increases, while ESRP2 activity decreases. To investigate the effect of each of these two RNA-binding proteins (RBPs) on the transcriptome of the cell, we used shRNA to knockdown MBNL2 in two different cell line models of ccRCC (786-O and A-498), and also to knockdown ESRP2 in normal primary renal proximal tubule epithelial cells (PRPTEC). RNA-seq revealed that MBNL2 knockdown partially reverses the ccRCC-associated transcriptome in ccRCC cell lines, whereas ESRP2 knockdown shifts the transcriptome of PRPTEC toward that of ccRCC.
2018-03-23 | GSE83999 | GEO