dc.contributor.author |
Lánczky A |
|
dc.contributor.author |
Nagy, Ádám |
|
dc.contributor.author |
Bottai G |
|
dc.contributor.author |
Munkácsy, Gyöngyi |
|
dc.contributor.author |
Szabó, András |
|
dc.contributor.author |
Santarpia L |
|
dc.contributor.author |
Győrffy, Balázs |
|
dc.date.accessioned |
2017-02-08T11:49:25Z |
|
dc.date.available |
2017-02-08T11:49:25Z |
|
dc.date.issued |
2016 |
|
dc.identifier.citation |
pagination=439-446;
journalVolume=160;
journalIssueNumber=3;
journalTitle=BREAST CANCER RESEARCH AND TREATMENT; |
|
dc.identifier.uri |
http://repo.lib.semmelweis.hu//handle/123456789/4049 |
|
dc.identifier.uri |
doi:10.1007/s10549-016-4013-7 |
|
dc.description.abstract |
PURPOSE: The proper validation of prognostic biomarkers is an important clinical issue in breast cancer research. MicroRNAs (miRNAs) have emerged as a new class of promising breast cancer biomarkers. In the present work, we developed an integrated online bioinformatic tool to validate the prognostic relevance of miRNAs in breast cancer. METHODS: A database was set up by searching the GEO, EGA, TCGA, and PubMed repositories to identify datasets with published miRNA expression and clinical data. Kaplan-Meier survival analysis was performed to validate the prognostic value of a set of 41 previously published survival-associated miRNAs. RESULTS: All together 2178 samples from four independent datasets were integrated into the system including the expression of 1052 distinct human miRNAs. In addition, the web-tool allows for the selection of patients, which can be filtered by receptors status, lymph node involvement, histological grade, and treatments. The complete analysis tool can be accessed online at: www.kmplot.com/mirpower . We used this tool to analyze a large number of deregulated miRNAs associated with breast cancer features and outcome, and confirmed the prognostic value of 26 miRNAs. A significant correlation in three out of four datasets was validated only for miR-29c and miR-101. CONCLUSIONS: In summary, we established an integrated platform capable to mine all available miRNA data to perform a survival analysis for the identification and validation of prognostic miRNA markers in breast cancer. |
|
dc.relation.ispartof |
urn:issn:0167-6806 |
|
dc.title |
miRpower: a web-tool to validate survival-associated miRNAs utilizing expression data from 2178 breast cancer patients |
|
dc.type |
Journal Article |
|
dc.date.updated |
2017-01-26T13:10:53Z |
|
dc.language.rfc3066 |
en |
|
dc.identifier.mtmt |
3134371 |
|
dc.identifier.pubmed |
27744485 |
|
dc.contributor.department |
SE/AOK/K/II. Sz. Gyermekgyógyászati Klinika |
|
dc.contributor.institution |
Semmelweis Egyetem |
|
dc.mtmt.swordnote |
FELTÖLTŐ: Sonnevend Kinga - sonnevend.kinga@med.semmelweis-univ.hu |
|