A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis
Abstract Growing evidences showed that a large number of miRNAs were abnormally expressed in cervical cancer tissues and played irreplaceable roles in tumorigenesis, progression and metastasis. The aim of the present study was to identify the differential miRNAs expression between cervical cancer an...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2017-07-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-017-06032-2 |