Diagnostic potential for a serum miRNA neural network for detection of ovarian cancer

Recent studies posit a role for non-coding RNAs in epithelial ovarian cancer (EOC). Combining small RNA sequencing from 179 human serum samples with a neural network analysis produced a miRNA algorithm for diagnosis of EOC (AUC 0.90; 95% CI: 0.81–0.99). The model significantly outperformed CA125 and...

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Detalles Bibliográficos
Autores principales: Elias, Kevin M, Fendler, Wojciech, Stawiski, Konrad, Fiascone, Stephen J, Vitonis, Allison F, Berkowitz, Ross S, Frendl, Gyorgy, Konstantinopoulos, Panagiotis, Crum, Christopher P, Kedzierska, Magdalena, Cramer, Daniel W, Chowdhury, Dipanjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
Materias:
Cancer Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5679755/
https://www.ncbi.nlm.nih.gov/pubmed/29087294
http://dx.doi.org/10.7554/eLife.28932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5679755/
https://www.ncbi.nlm.nih.gov/pubmed/29087294
http://dx.doi.org/10.7554/eLife.28932

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