|
| Status |
Public on Oct 31, 2016 |
| Title |
AQ92 |
| Sample type |
RNA |
| |
|
| Source name |
ovarian cancer
|
| Organism |
Homo sapiens |
| Characteristics |
tissue: primary ovarian tumor
age: 47.2359058565955
histology: 6
Stage: II
grading: G3
dekulking: NED
ttr_time: 27.7302631578947
ttr_status: 1
os_time: 30.32894737
os_status: 1
|
| Extracted molecule |
total RNA |
| Extraction protocol |
RNA was extracted with QIAGEN FFPE RNeasy mini kit in accordance with the prescribed protocol provided with the kit.
|
| Label |
Cy3
|
| Label protocol |
Total RNA from each sample was labeled according to the manufacturers recommendations.
|
| |
|
| Hybridization protocol |
Standard Agilent hybridization protocol
|
| Scan protocol |
Standard Agilent scanning protocol; raw data were generated using the Feature Extraction Software v10.7.3.1 (Agilent Technologies)
|
| Data processing |
The data were processed and quantile normalised using AgiMicroRna R package (Lopez-Romero P BMC Genomics. 2011;12:64)
|
| |
|
| Submission date |
Sep 29, 2015 |
| Last update date |
Oct 31, 2016 |
| Contact name |
Loris De Cecco |
| E-mail(s) |
loris.dececco@istitutotumori.mi.it
|
| Organization name |
IRCSS Istituto Nazionale Tumori
|
| Street address |
via Venezian 1
|
| City |
Milan |
| ZIP/Postal code |
20133 |
| Country |
Italy |
| |
|
| Platform ID |
GPL20968 |
| Series (2) |
| GSE73581 |
MiROvaR, a microRNA-based predictor of early relapse for ovarian cancer patients [training set; OC179] |
| GSE73584 |
MiROvaR, a microRNA-based predictor of early relapse for ovarian cancer patients |
|
