Experiment ID | EXP00333 |
Reference | Title: What makes a blood cell based miRNA expression pattern disease specific?--amiRNome analysis of blood cell subsets in lung cancer patients and healthycontrols. Author: Leidinger P, Backes C, Dahmke IN, Galata V, Huwer H, Stehle I, Bals R, Keller A, Meese E. Journal: Oncotarget. 2014 Oct 15;5(19):9484-97. Abstract: There is evidence of blood-borne miRNA signatures for various human diseases. To dissect the origin of disease-specific miRNA expression in human blood, weseparately analyzed the miRNome of different immune cell subtypes, each in lungcancer patients and healthy individuals. Each immune cell type revealed aspecific miRNA expression pattern also dependinging on the cell origin, line ofdefense, and function. The overall expression pattern of each leukocyte subtypeshowed great similarities between patients and controls. However, for each cellsubtype we identified miRNAs that were deregulated in lung cancer patientsincluding hsa-miR-21, a well-known oncomiR associated with poor lung cancerprognosis that was up-regulated in all leukocyte subtype comparisons of cancerversus controls. While the miRNome of cells of the adaptive immune system allowedonly a weak separation between patients and controls, cells of the innate immune system allowed perfect or nearly perfect classification. Leukocytes of lungcancer patients show a cancer-specific miRNA expression profile. Our data alsoshow that cancer specific miRNA expression pattern of whole blood samples are notdetermined by a single cell type. The data indicate that additional bloodcomponents, like erythrocytes, platelets, or exosomes might contribute to thedisease specificity of a miRNA signature. PMID: 25344866 |
Expressiion Profile | Description: What makes the blood cell-based miRNome disease specific? - miRNA analysis of leukocyte subsets in lung cancer patients and controls Organism: Homo sapiens GEO ID: GSE55993 Platform: GPL16770 Number of samples: 80 |
Design and Sample | Cancer Type: lung cancer Cancer SubType: lung adenocarcinoma Cell Line: N/D Experimental Design: blood Case Sample: blood from lung cancer Control Sample: normal blood Num of Case: 5 Num of Control: 7 Quantification Software: limma Num of miRNAs: 1205 |
Identification | Num of Up: 5 Num of Down: 4 |