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Series GSE72922 Query DataSets for GSE72922
Status Public on Sep 01, 2016
Title Urinary Extracellular Vesicles RNA Profile in Clear Cell Renal Cell Carcinoma as Biomarker
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Background: Renal cell carcinoma (RCC) accounts for about 2% of all cancers. Renal biopsy is the gold standard among the diagnostic tools, but it is invasive and not suitable for all patients. Therefore, new reliable and non-invasive biomarkers for ccRCC detection are required. Secretion of extracellular vesicles (EVs), containing RNA molecules that can be transferred between cells, seems to be a general characteristic of malignant transformation. Consistently, cancer-derived EVs are enriched in the blood, urine and various malignant effusions of cancer patients. Therefore, urinary samples can be a non-invasive approach for discovering diagnostic biomarkers.

Methods: We enrolled 33 clear-cell RCC (ccRCC) patients and 22 healthy subjects (HS), age and sex-matched, for urine collection and extracellular vesicles isolation by differential centrifugation. Transcriptional profiles of urinary EVs from 12 patients with ccRCC and 11 HS were generated using the Illumina HumanHT-12 v4 BeadChip oligonucleotide arrays. Microarray analysis led to the identification of RNA that were then validated using RT-qPCR.

Results: We showed for the first time that urinary exosomal shuttle RNA (esRNA) was significantly different in ccRCC patients compared to HS and we identified three EVs esRNA involved in the tumor biology that are potentially suitable as non-invasive biomarkers. GSTA1, CEBPA and PCBD1 RNA levels decreased in urinary EVs of patients compared to HS. After 1 month post-operation, the levels of RNA increased to reach the normal level.

Conclusions: This study suggests, for the first time, the potential use of the RNA content of urinary EVs to provide a non-invasive first step to diagnose the ccRCC.
 
Overall design Total RNA obtained from urinary extracellular vesicles isolated from ccRCC patients and healthy subjects.
 
Contributor(s) Sallustio F, De Palma G, Schena FP
Citation(s) 27877211
Submission date Sep 10, 2015
Last update date Apr 04, 2018
Contact name Fabio Sallustio
E-mail(s) f.sallustio@nephro.uniba.it
Organization name University of Bari
Street address Piazza G. Cesare N°11
City Bari
State/province Bari
ZIP/Postal code 70124
Country Italy
 
Platforms (1)
GPL14951 Illumina HumanHT-12 WG-DASL V4.0 R2 expression beadchip
Samples (23)
GSM1874701 RCC [5993419025_A]
GSM1874702 RCC [5993419025_B]
GSM1874703 RCC [5993419025_C]
Relations
BioProject PRJNA295326

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE72922_non-normalized.txt.gz 4.1 Mb (ftp)(http) TXT
Processed data included within Sample table

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