2016
DOI: 10.1016/s1470-2045(16)30108-5
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Development and validation of a microRNA-based signature (MiROvaR) to predict early relapse or progression of epithelial ovarian cancer: a cohort study

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Cited by 100 publications
(119 citation statements)
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References 45 publications
(38 reference statements)
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“…We also observed the presence of miR-10a and 10b in publicly available data of normal fibroblasts and cancer associated fibroblasts, where the miR-10 family was equally expressed in both normal and cancer associated fibroblasts (33). A group of microRNAs expressed in ovarian cancer has been suggested to form a signature predictive of poor outcome in ovarian cancer patients (55); however, the only microRNA included in that signature that is also detected in the top five microRNAs in this study was miR-30d (Table 3). The role of microRNAs in ovarian cancer is still being investigated as is the role of tRFs.…”
Section: Discussionmentioning
confidence: 79%
“…We also observed the presence of miR-10a and 10b in publicly available data of normal fibroblasts and cancer associated fibroblasts, where the miR-10 family was equally expressed in both normal and cancer associated fibroblasts (33). A group of microRNAs expressed in ovarian cancer has been suggested to form a signature predictive of poor outcome in ovarian cancer patients (55); however, the only microRNA included in that signature that is also detected in the top five microRNAs in this study was miR-30d (Table 3). The role of microRNAs in ovarian cancer is still being investigated as is the role of tRFs.…”
Section: Discussionmentioning
confidence: 79%
“…In one study, RNA microarray expression data from the TCGA were used to investigate correlations between expression of specific miRNAs and mRNAs in ovarian cancer in order to identify potential mRNA targets of miRNAs [129]. Specific miRNA-based signatures or networks have been identified in epithelial ovarian cancers characterized by a poor prognosis, and have the potential to serve as prognostic markers in both early and advanced stages of the disease [130,131,132]. In addition, stable circulating cell-free miRNAs that closely mimic the miRNA profiles of tumor have been isolated from the serum and plasma of women with ovarian cancer [133].…”
Section: Implications Of the Molecular Characterization Of Epithelmentioning
confidence: 99%
“…2010-re már több száz olyan köz-lemény jelent meg, amelyek 70-50-30 génre tudták szűkíteni azokat a mintázatokat, amelyek egyes daganattípusokra vonatkozó fogékonyságot, egyes altípusok jelenlétét vagy kedvező és kedvezőtlen prognózis előrejel-zésében alkalmazhatónak bizonyultak. Petefészekrákkal kapcsolatban több száz beteg klinikai és egyenként mintegy 1000 különböző miRNS-expressziójára vonatkozó adataiból robusztus számítástechnikai elemzéssel sikerült egy 35 egyedi miRNS-re vonatkozó mintázatot kialakí-tani, amelyből egyszerű algoritmussal klinikailag releváns prognosztikai index határozható meg [60]. Az algoritmust egy szintén több száz klinikai esetet tartalmazó adatbázison validálva a szerzők meggyőzően igazolták az alacsony és magas rizikójú (HR>3) esetek elkülönítésé-nek lehetőségét a miRNS-mintázat alapján.…”
Section: Prognosztika éS Onkoterápiaunclassified