Detail
Experiment ID:
EXP00527
Reference:
- Title: Integrated extracellular microRNA profiling for ovarian cancer screening.
- Author: Yokoi A, Matsuzaki J, Yamamoto Y, Yoneoka Y, Takahashi K, Shimizu H, Uehara T, Ishikawa M, Ikeda SI, Sonoda T, Kawauchi J, Takizawa S, Aoki Y, Niida S, Sakamoto H, Kato K, Kato T, Ochiya T
- Journal: Nature communications.2018 10 17;9(1):4319.doi:10.1038/s41467-018-06434-4.
- Abstract: A major obstacle to improving prognoses in ovarian cancer is the lack of effective screening methods for early detection. Circulating microRNAs (miRNAs) have been recognized as promising biomarkers that could lead to clinical applications. Here, to develop an optimal detection method, we use microarrays to obtain comprehensive miRNA profiles from 4046 serum samples, including 428 patients with ovarian tumors. A diagnostic model based on expression levels of ten miRNAs is constructed in the discovery set. Validation in an independent cohort reveals that the model is very accurate (sensitivity, 0.99; specificity, 1.00), and the diagnostic accuracy is maintained even in early-stage ovarian cancers. Furthermore, we construct two additional models, each using 9-10 serum miRNAs, aimed at discriminating ovarian cancers from the other types of solid tumors or benign ovarian tumors. Our findings provide robust evidence that the serum miRNA profile represents a promising diagnostic biomarker for ovarian cancer.
- PMID: 30333487
Expression Profile:
- Description:Integrated extracellular microRNA profiling for ovarian cancer screening
- Organism:Homo sapiens
- Source:GEO
- Source ID:GSE106817
- Platform: GPL21263
- Number of samples:4046
- Overall design:Serum microRNA profiles of 4046 woman samples, which consist of 333 of ovarian cancers, 66 of borderline ovarian tumors, 29 of benign ovarian diseases, 2759 of non-cancer controls, and 859 of the other solid cancers.
- Instrument:3D-Gene Human miRNA V21_1.0.0
Design and Sample:
- Cancer Type:sarcoma
- Cancer SubType:N/A
- Cell Line:N/A
- Experimental Design:blood
- Case Sample:blood from sarcoma
- Control Sample:normal blood
- Num of Case:115
- Num of Control:2759
- Quantification Software:Limma
- Num of miRNAs:2565
Identification:
- Num of Up:1017
- Num of Down:992
Time Info:
- Create Time2021-06-04
- Update Time:2021-06-07
Status:
| miRNA ID | Cancer Type | Design | logFC | AveExpr | T value | P value | adj Pvalue | Status | Plot |
|---|