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 Carlos, Furlong, Laura Inés, Colas, Eva, Gil Moreno, Antonio, Reventos, Jaume, Bello, Ricardo, Vazquez Levin, Mónica Hebe
Formato: Articulo
Lenguaje:Inglés
Publicado: 2020
Materias:
Medicina
endometrial cancer
Bioinformatics
biomarkers
recurrence
TPX2
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/107852
http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7388212&blobtype=pdf
https://www.spandidos-publications.com/10.3892/or.2020.7648
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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