| Experiment ID | EXP00320 |
| Reference | Title: MicroRNA expression profiles of whole blood in lung adenocarcinoma. Author: Patnaik SK, Yendamuri S, Kannisto E, Kucharczuk JC, Singhal S, Vachani A. Journal: PLoS One. 2012;7(9):e46045. doi: 10.1371/journal.pone.0046045. Epub 2012 Sep 28. Abstract: The association of lung cancer with changes in microRNAs in plasma shown inmultiple studies suggests a utility for circulating microRNA biomarkers innon-invasive detection of the disease. We examined if presence of lung cancer is reflected in whole blood microRNA expression as well, possibly because of asystemic response. Locked nucleic acid microarrays were used to quantify theglobal expression of microRNAs in whole blood of 22 patients with lungadenocarcinoma and 23 controls, ten of whom had a radiographically detectednon-cancerous lung nodule and the other 13 were at high risk for developing lung cancer because of a smoking history of >20 pack-years. Cases and controlsdiffered significantly for age with a mean difference of 10.7 years, but not for gender, race, smoking history, blood hemoglobin, platelet count, or white bloodcell count. Of 1282 quantified human microRNAs, 395 (31%) were identified asexpressed in the study's subjects, with 96 (24%) differentially expressed betweencases and controls. Classification analyses of microRNA expression data wereperformed using linear kernel support vector machines (SVM) and top-scoring pairs(TSP) methods, and classifiers to identify presence of lung adenocarcinoma wereinternally cross-validated. In leave-one-out cross-validation, the TSPclassifiers had sensitivity and specificity of 91% and 100%, respectively. Thevalues with SVM were both 91%. In a Monte Carlo cross-validation, averagesensitivity and specificity values were 86% and 97%, respectively, with TSP, and 88% and 89%, respectively, with SVM. MicroRNAs miR-190b, miR-630, miR-942, andmiR-1284 were the most frequent constituents of the classifiers generated during the analyses. These results suggest that whole blood microRNA expression profilescan be used to distinguish lung cancer cases from clinically relevant controls.Further studies are needed to validate this observation, including innon-adenocarcinomatous lung cancers, and to clarify upon the confounding effectof age. PMID: 23029380 |
| Expressiion Profile | Description: Whole blood microRNA expression profiles in human non-small cell lung adenocarcinoma Organism: Homo sapiens GEO ID: GSE27486 Platform: GPL11432 Number of samples: 45 |
| Design and Sample | Cancer Type: lung cancer Cancer SubType: non-small cell lung adenocarcinoma Cell Line: N/D Experimental Design: blood Case Sample: blood from lung cancer Control Sample: normal blood Num of Case: 22 Num of Control: 23 Quantification Software: limma Num of miRNAs: 891 |
| Identification | Num of Up: 89 Num of Down: 56 |