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多组学数据库
多组学数据库
MULTI-OMICS DATABASE
GEO数据库
GEO DATABASE
疾病类型
实验类型
样本数
结果显示
Long Noncoding RNA and mRNA Expression Profile in clear cell renal cell carcinoma
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样本数:
10
数据集名称:
GSE96574
摘要:
Five matched clear cell renal cell carcinoma and normal tissues were used for microarray.
实验类型:
Non-coding RNA profiling by array
平台:
GPL19615
circRNA expression in renal cell carcinoma and mached non-tumor tissues
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样本数:
8
数据集名称:
GSE100186
摘要:
To determine the circRNA expression profile in CCRCC and matched non-tumor tissues, we uesed circRNA microArray analysis form Arraystar to examine the expression of circRNAs in CCRCC and matched non-tumor tissues.
实验类型:
Non-coding RNA profiling by array
平台:
GPL21825
Global and targeted microRNA expression profiling in clear cell renal cell carcinoma tissues potentially links miR-155-5p and miR-210-3p to both tumorigenesis and recurrence [discovery phase]
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样本数:
36
数据集名称:
GSE116251
摘要:
About 30% of renal cell carcinoma (RCC) patients undergoing nephrectomy experience disease recurrence. This study aimed to profile microRNAs (miRNAs) that are dysregulated in clear cell RCC (ccRCC) tumor tissues and predictive of recurrence. The expression levels of 800 miRNAs were assessed in paired tumor and normal tissues from a discovery cohort of 18 ccRCC patients via the NanoString assay platform. MiRNAs found to be differentially expressed were further examined in a validation set of 205 patients using quantitative real-time PCR. Tumor-normal data from 64 patients in The Cancer Genome Atlas were used for external validation. Results showed 28 miRNAs were consistently dysregulated in tumor tissues. Dichotomized analyses indicated patients with high levels of miR-155-5p and miR-210-3p displayed increased risk of ccRCC recurrence (HR, 2.64; 95% CI, 1.49-4.70; P=0.0009 and HR, 1.8; 95% CI, 1.04-3.12; P=0.036, respectively) and shorter median recurrence-free survival times than patients with low levels (log rank test P<0.01). A risk score was generated based on expression levels of miR-155-5p and miR-210-3p, and the trend test was significant (P for trend=0.005). Pathway analysis revealed target genes regulated by miR-155-5p and miR-210-3p were mainly enriched in inflammation-related pathways. In summary, we identified and validated multiple miRNAs dysregulated in ccRCC tissues. MiR-155-5p and miR-210-3p were predictive of ccRCC recurrence pointing to potential utility as biomarkers and underlying biological mechanisms.
实验类型:
Non-coding RNA profiling by array
平台:
GPL25243