| Experiment ID | EXP00327 |
| Reference | Title: Evaluation of microRNA expression profiles and their associations with riskalleles in lymphoblastoid cell lines of familial ovarian cancer. Author: Shen J, Wang D, Gregory SR, Medico L, Hu Q, Yan L, Odunsi K, Lele SB,Ambrosone CB, Liu S, Zhao H. Journal: Carcinogenesis. 2012 Mar;33(3):604-12. doi: 10.1093/carcin/bgs008. Epub 2012 Jan 10. Abstract: Interindividual variations of microRNA expression are likely to influence theexpression of microRNA target genes and, therefore, contribute to phenotypicdifferences in humans, including cancer susceptibility. Whether microRNAexpression variation has any role in ovarian cancer development is still unknown.Here, we evaluated microRNA expression profiles in lymphoblastoid cell lines from74 women with familial ovarian cancer and 47 unrelated controls matched on genderand race. We found that the cases and unrelated controls can be clustered using95 differentially expressed microRNAs with 91% accuracy. To assess the potential implications of microRNAs in ovarian cancer, we investigated the associationsbetween microRNA expression and seven ovarian cancer risk variants discoveredfrom genome-wide association studies (GWAS), namely, rs3814113 on 9p22.2,rs2072590 on 2q31, rs2665390 on 3q25, rs10088218, rs1516982, rs10098821 on8q24.21 and rs2363956 on 19p13. We observed 130 significant associations at apermutation level of 0.01. Compared with other risk variants, rs3814113 andrs2072590 had the greatest number of significant associations (68 and 37,respectively). Interestingly, 14 microRNAs that were associated with ovariancancer risk alleles belong to five microRNA clusters. The most notable cluster isthe tumorigenic miR-17-92 cluster with five microRNAs, all of which aresignificantly associated with rs3814113. Using pathway analysis, several keybiological pathways were significantly overrepresented, such as cellular responseto stress (P = 2.87 × 10(-06)), etc. Further characterization of significantassociations between microRNAs and risk alleles could facilitate theunderstanding of the functions of these GWAS discovered risk alleles in thegenetic etiology of ovarian cancer. PMID: 22235027 |
| Expressiion Profile | Description: Evaluation of microRNA expression profiles and their associations with risk alleles in lymphoblastoid cell lines of familial ovarian cancer Organism: Homo sapiens GEO ID: GSE31801 Platform: GPL8179 Number of samples: 121 |
| Design and Sample | Cancer Type: ovarian cancer Cancer SubType: familial ovarian cancer Cell Line: N/D Experimental Design: blood Case Sample: blood from ovarian cancer Control Sample: normal blood Num of Case: 74 Num of Control: 47 Quantification Software: limma Num of miRNAs: 858 |
| Identification | Num of Up: 259 Num of Down: 269 |