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A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis

A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7de1d58d7aed4af196cdac19fddb7f01

A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis

About this item

Full title

A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2017-07, Vol.7 (1), p.5624-8, Article 5624

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

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 and normal cervical tissues by analyzing the high-throughput...

Alternative Titles

Full title

A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7de1d58d7aed4af196cdac19fddb7f01

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7de1d58d7aed4af196cdac19fddb7f01

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-017-06032-2

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