| Experiment ID | EXP00288 |
| Reference | Title: Lung adenocarcinoma subtypes definable by lung development-related miRNAexpression profiles in association with clinicopathologic features. Author: Arima C, Kajino T, Tamada Y, Imoto S, Shimada Y, Nakatochi M,Suzuki M, Isomura H, Yatabe Y, Yamaguchi T, Yanagisawa K, MiyanoS, Takahashi T. Journal: Carcinogenesis. 2014 Oct;35(10):2224-31. doi: 10.1093/carcin/bgu127. Epub 2014Jun 5. Abstract: Accumulation of genetic and epigenetic changes alters regulation of a web ofinterconnected genes including microRNAs (miRNAs), which confer hallmarkcapabilities and characteristic cancer features. In this study, the miRNA andmessenger RNA expression profiles of 126 non-small cell lung cancer specimenswere analyzed, with special attention given to the diversity of lungadenocarcinomas. Of those, 76 adenocarcinomas were classified into two majorsubtypes, developing lung-like and adult lung-like, based on their distinctivemiRNA expression profiles resembling those of either developing or adult lungs,respectively. A systems biology-based approach using a Bayesian network andnon-parametric regression was employed to estimate the gene regulatory circuitry functioning in patient tumors in order to identify subnetworks enriched for geneswith differential expression between the two major subtypes. miR-30d and miR-195,identified as hub genes in such subnetworks, had lower levels of expression inthe developing lung-like subtype, whereas introduction of miR-30d or miR-195 intothe lung cancer cell lines evoked shifts of messenger RNA expression profilestoward the adult lung-like subtype. Conversely, the influence of miR-30d andmiR-195 was significantly different between the developing lung-like and adultlung-like subtypes in our analysis of the patient data set. In addition, RRM2, a child gene of the miR-30d-centered subnetwork, was found to be a direct target ofmiR-30d. Together, our findings reveal the existence of two miRNA expressionprofile-defined lung adenocarcinoma subtypes with distinctive clinicopathologicfeatures and also suggest the usefulness of a systems biology-based approach togain insight into the altered regulatory circuitry involved in cancerdevelopment. PMID: 24903339 |
| Expressiion Profile | Description: Lung adenocarcinoma subtypes definable by lung development-related miRNA expression profiles in association with clinicopathologic features [miRNA analysis - miRNA Microarray, pre-commercial version 6.0] Organism: Homo sapiens GEO ID: GSE51853 Platform: GPL7341 Number of samples: 131 |
| Design and Sample | Cancer Type: lung cancer Cancer SubType: N/D Cell Line: N/D Experimental Design: cancer vs normal Case Sample: lung squmous cell carcinoma Control Sample: lung adenocarcinoma Num of Case: 29 Num of Control: 76 Quantification Software: Limma Num of miRNAs: 470 |
| Identification | Num of Up: 57 Num of Down: 58 |