Machine learning-assisted analysis of epithelial mesenchymal transition pathway for prognostic stratification and immune infiltration assessment in ovarian cancer

BACKGROUND: Ovarian cancer is the most lethal gynaecological malignancy, and serous ovarian cancer (SOC) is one of the more important pathological subtypes. Previous studies have reported a significant association of epithelial tomesenchymal transition (EMT) with invasive metastasis and immune modul...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Qian, Xiao, Xiyun, Feng, Jing, Yan, Ruixue, Xi, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317337/
https://www.ncbi.nlm.nih.gov/pubmed/37404304
http://dx.doi.org/10.3389/fendo.2023.1196094

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317337/
https://www.ncbi.nlm.nih.gov/pubmed/37404304
http://dx.doi.org/10.3389/fendo.2023.1196094

Ejemplares similares