Long Noncoding RNA and mRNA Expression Profile in clear cell renal cell carcinoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE96574 | GEO | 2017/03/15
SECONDARY ACCESSION(S): PRJNA379069
REPOSITORIES: GEO
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Project description:The clear cell subtype of renal cell carcinoma (RCC) is the most lethal and prevalent cancer of the urinary system. To investigate the molecular changes associated with malignant transformation in clear cell RCC, the gene expression profiles of matched samples of tumor and adjacent non-neoplastic tissue were obtained from 6 patients. A custom-built cDNA microarray platform was used, comprising 2,292 probes that map to exons of genes and 822 probes for noncoding RNAs mapping to intronic regions. Intronic transcription was detected in all normal and neoplastic renal tissues. A subset of 55 transcripts was significantly down-regulated in clear cell RCC relative to the matched non-tumor tissue as determined by a combination of two statistical tests and leave-one-out patient cross-validation. Among the down-regulated transcripts, 49 mapped to untranslated or coding exons and 6 were intronic relative to known exons of protein-coding genes. Lower levels of expression of SIN3B, TRIP3, SYNJ2BP and NDE1 (p < 0.02), and of intronic transcripts derived from SND1 and ACTN4 loci (p < 0.05), were confirmed in clear cell RCC by Real-time RT-PCR. A subset of 25 transcripts was deregulated in additional 6 non-clear cell RCC samples, pointing to common transcriptional alterations in RCC irrespective of the histological subtype or differentiation state of the tumor. Our results indicate a novel set of tumor suppressor gene candidates, including noncoding intronic RNAs, which may play a significant role in malignant transformations of normal renal cells. Fluorescently labeled cDNA targets derived from tumor and non-tumor tissue from each patient were combined and hybridized to spotted cDNA microarrays. For each patient, a replicate hybridization with dye-swap of labeled targets was performed. For each tissue (tumor and adjacent non-tumor tissue), there are 4 replicate mesurements for each probe.
2010-06-25 | E-GEOD-7367 | biostudies-arrayexpress
Project description:Background: Renal cell carcinoma, which presents no significant clinical manifestations at early stages, is one of the few tumors with an increasing worldwide incidence. This malignancy cannot be directly detected by tumor markers in body fluid without information from imaging examinations. Approximately 30–40% of patients with kidney cancer exhibit distant metastasis at diagnosis, and their 5-year survival rate is much lower than that of patients with early-stage renal cell carcinoma. Thus, the early diagnosis of renal cell carcinoma is extremely important. The aim of this study was to investigate the utility of urinary exosomal long noncoding RNA (lncRNA) as a new potential diagnostic marker for renal cell carcinoma. Methods: Exosomes were isolated by ultracentrifugation from 50-ml urine samples from 10 patients with clear cell renal cell carcinoma and 10 matched healthy donors. Differentially expressed lncRNAs were analyzed by next-generation sequencing and further validated in kidney cancer cell lines, tissues and urinary exosomes. Then, we evaluated the sensitivity, specificity, clinical diagnostic value and stability of the selected lncRNAs. Results: The levels of lncRNAs NR_040448 and NR_033390 in urinary exosomes can likely indicate the presence of renal cell carcinoma. In addition, RNA protected by exosomes was stable enough to serve as a biomarker. Conclusion: Urinary exosomal lncRNA is a promising marker for the early diagnosis of renal cell carcinoma.
2019-01-23 | GSE125442 | GEO
Project description:The clear cell subtype of renal cell carcinoma (RCC) is the most lethal and prevalent cancer of the urinary system. To investigate the molecular changes associated with malignant transformation in clear cell RCC, the gene expression profiles of matched samples of tumor and adjacent non-neoplastic tissue were obtained from 6 patients. A custom-built cDNA microarray platform was used, comprising 2,292 probes that map to exons of genes and 822 probes for noncoding RNAs mapping to intronic regions. Intronic transcription was detected in all normal and neoplastic renal tissues. A subset of 55 transcripts was significantly down-regulated in clear cell RCC relative to the matched non-tumor tissue as determined by a combination of two statistical tests and leave-one-out patient cross-validation. Among the down-regulated transcripts, 49 mapped to untranslated or coding exons and 6 were intronic relative to known exons of protein-coding genes. Lower levels of expression of SIN3B, TRIP3, SYNJ2BP and NDE1 (p < 0.02), and of intronic transcripts derived from SND1 and ACTN4 loci (p < 0.05), were confirmed in clear cell RCC by Real-time RT-PCR. A subset of 25 transcripts was deregulated in additional 6 non-clear cell RCC samples, pointing to common transcriptional alterations in RCC irrespective of the histological subtype or differentiation state of the tumor. Our results indicate a novel set of tumor suppressor gene candidates, including noncoding intronic RNAs, which may play a significant role in malignant transformations of normal renal cells. Keywords: Disease state analysis
2008-03-25 | GSE7367 | GEO
Project description:Renal cell carcinoma (RCC) is the most common neoplasm of the adult kidney. Currently, there are no biomarkers for the diagnostic, prognostic, or predictive applications in RCC. MicroRNAs (miRNAs) are short non protein-coding RNAs that negatively regulate gene expression and have been shown to be involved in cancer. We analyzed a total of 70 matched pairs of clear cell RCC (ccRCC) and normal kidney tissues from the same patients by microarray analysis and validated our results by quantitative real time PCR. We identified 166 miRNAs significantly dysregulated in ccRCC. MiR-122, miR-155 and miR-210 had the highest fold changes of overexpression while miR-200c, miR-335, and miR-218 were the most downregulated. We performed extensive bioinformatics analysis including a combinatorial analysis of previously reported miRNAs dysregulated in RCC and extensive target prediction analysis. Many miRNAs were predicted to target a number of genes involved in RCC pathogenesis. Our results showed that miRNA dysregulation in RCC can be attributed in part, to chromosomal aberrations, the co-regulation of miRNA clusters, and co-expression with host genes. We also correlated miRNA expression with clinical characteristics and found miR-155 expression was correlated with ccRCC tumor size. In conclusion, our analysis showed that a number of miRNAs are dysregulated in ccRCC and may contribute to kidney cancer pathogenesis by targeting more than one key molecule. We identified mechanisms that may contribute to miRNA dysregulation in ccRCC. Dysregulated miRNAs represent potential biomarkers for kidney cancer. We preformed a miRNA microarray on 20 pairs of matched primary clear cell renal cell carcinoma (ccRCC) and normal kidney tissue from the same patient (St. Michael's Hospital, Toronto, Canada). One matched pair was used per array for a total of 20 arrays. Microarray results were validated by quantitative real time PCR using an independent set of 50 matched pairs of ccRCC and normal kidney tissue from the same patient.
2010-07-22 | E-GEOD-23085 | biostudies-arrayexpress
Project description:CTSP Kidney Renal Clear Cell Carcinoma E2805T6
| PRJNA562745 | ENA
Project description:Intronic and intergenic long noncoding RNAs (lncRNAs) are emerging gene expression regulators. The molecular pathogenesis of renal cell carcinoma (RCC) is still poorly understood, and in particular, limited studies are available for intronic lncRNAs expressed in RCC. Microarray experiments were performed with two different custom-designed arrays enriched with probes for lncRNAs mapping to intronic genomic regions. Samples from 18 primary clear cell RCC tumors and 11 nontumor adjacent matched tissues were analyzed with 4k-probes microarrays. Oligoarrays with 44k-probes were used to interrogate 17 RCC samples (14 clear cell, 2 papillary, 1 chromophobe subtypes) split into four pools. Meta-analyses were performed by taking the genomic coordinates of the RCC-expressed lncRNAs, and cross-referencing them with microarray expression data from three additional human tissues (normal liver, prostate tumor and kidney nontumor samples), and with large-scale public data for epigenetic regulatory marks and for evolutionarily conserved sequences. A signature of 29 intronic lncRNAs differentially expressed between RCC and nontumor samples was obtained (false discovery rate (FDR) <5%). An additional signature of 26 intronic lncRNAs significantly correlated with the RCC five-year patient survival outcome was identified (FDR <5%, p-value M-bM-^IM-$0.01). We identified 4303 intronic antisense lncRNAs expressed in RCC, of which 25% were cis correlated (r >|0.6|) with the expression of the mRNA in the same locus across three human tissues. Gene Ontology (GO) analysis of those loci pointed to M-bM-^@M-^Xregulation of biological processesM-bM-^@M-^Y as the main enriched category. A module map analysis of all expressed protein-coding genes in RCC that had a significant (r M-bM-^IM-%|0.8|) trans correlation with the 20% most abundant lncRNAs identified 35 relevant (p <0.05) GO sets. In addition, we determined that 60% of these lncRNAs are evolutionarily conserved. At the genomic loci containing the intronic RCC-expressed lncRNAs, a strong association (p <0.001) was found between their transcription start sites and genomic marks such as CpG islands and histones methylation and acetylation. Intronic antisense lncRNAs are widely expressed in RCC tumors. Some of them are significantly altered in RCC in comparison with nontumor samples. The majority of these lncRNAs is evolutionarily conserved and possibly modulated by epigenetic modifications. Our data suggest that these RCC lncRNAs may contribute to the complex network of regulatory RNAs playing a role in renal cell malignant transformation. A total of 22 human kidney tissue samples consisting of 11 primary renal tumors and 11 matched adjacent nontumor tissues from clear cell renal cell carcinmoa (RCC) patients were evaluated in this study. We compared the expression profiles of tumor and non-tumor samples obtained from patients with clear cell RCC to evaluate a possible correlation of the lncRNAs with renal malignancy. The set of clear cell RCC expression profiles was generated using a custom-designed cDNA microarray platform with 4,608 unique elements in replicate (9,216) enriched in gene fragments that map to intronic regions of known human genes (GPL3985).
2014-01-21 | E-GEOD-40911 | biostudies-arrayexpress
Project description:Reconstruction of complex rearrangement patterns causing the initiation of clear cell renal cell carcinoma.
| PRJEB35219 | ENA
Project description:To understand the relationship of radiomic and transcriptomic features of metastatic clear cell renal cell carcinoma, we performed RNA-sequencing in clear cell renal cell carcinomas (ccRCCs).
2019-09-30 | GSE135091 | GEO
Project description:Whole genome expression of 39 clear-cell renal cell carcinomas tumors 39 frozen tissue from recent nephrectomies for clear-cell renal cell carcinoma; association with clinical characteristics
2011-05-28 | E-GEOD-29609 | biostudies-arrayexpress
Project description:Background: Clear cell renal cell carcinoma (ccRCC) and chromophobe renal cell carcinoma (chRCC) can usually be distinguished by histologic characteristics. Occasionally, diagnosis proves challenging and diagnostic difficulty will likely increase as needle biopsies of renal lesions become more common. Method: To identify markers that aid in differentiating ccRCC from chRCC, we used gene expression profiles to identify candidate markers that correlate with histology. 39 antisera and antibodies, including 35 for transcripts identified from gene expression profiling, were evaluated. Promising markers were tested on a tissue microarray (TMA) containing 428 renal neoplasms. Strength of staining of each core on the TMA was formally scored and the distribution of staining across different types of renal neoplasms was analyzed. Results: Based on results from initial immunohistochemical staining of multitissue titer arrays, 23 of the antisera and antibodies were selected for staining of the TMA. For 7 of these markers, strength of staining of each core on the TMA was formally scored. Vimentin (positive in ccRCC) and CD9 (positive in chRCC) best distinguished ccRCC from chRCC. The combination of vimentin negativity and CD9 positivity was found to distinguish chRCC from ccRCC with a sensitivity of 100.0% and a specificity of 95.2%. Conclusions: Based on gene expression analysis, we identify CD9 and vimentin as candidate markers for distinguishing between ccRCC and chRCC. In difficult cases and particularly when the amount of diagnostic tissue is limited, vimentin and CD9 staining could serve as a useful adjunct in the differential diagnosis of ccRCC and chRCC. A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Disease State: Stage of Clear Cell renal cell carcinoma (I - V)) disease_state_design
2010-08-20 | E-GEOD-17746 | biostudies-arrayexpress