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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388212/
https://www.ncbi.nlm.nih.gov/pubmed/32705231
http://dx.doi.org/10.3892/or.2020.7648

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388212/
https://www.ncbi.nlm.nih.gov/pubmed/32705231
http://dx.doi.org/10.3892/or.2020.7648

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