Identification of early stage recurrence endometrial cancer biomarkers using bioinformatics tools

Endometrial cancer (EC) is the sixth most common cancer in women worldwide. Early diagnosis is critical in recurrent EC management. The present study aimed to identify biomarkers of EC early recurrence using a workflow that combined text and data mining databases (DisGeNET, Gene Expression Omnibus),...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Oncol Rep
Main Authors: Besso, María josé, Montivero, Luciana, Lacunza, Ezequiel, Argibay, María cecilia, Abba, Martín, Furlong, Laura Inés, Colas, Eva, Gil-Moreno, Antonio, Reventos, Jaume, Bello, Ricardo, Vazquez-Levin, Mónica Hebe
Format: Artigo
Jezik:Inglês
Izdano: D.A. Spandidos 2020
Teme:
Articles
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7388212/
https://ncbi.nlm.nih.gov/pubmed/32705231
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3892/or.2020.7648
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