Development and Validation of a Novel 11-Gene Prognostic Model for Serous Ovarian Carcinomas Based on Lipid Metabolism Expression Profile

(1) Background: Biomarkers might play a significant role in predicting the clinical outcomes of patients with ovarian cancer. By analyzing lipid metabolism genes, future perspectives may be uncovered; (2) Methods: RNA-seq data for serous ovarian cancer were downloaded from The Cancer Genome Atlas an...

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Detalles Bibliográficos
Autores principales: Zheng, Mingjun, Mullikin, Heather, Hester, Anna, Czogalla, Bastian, Heidegger, Helene, Vilsmaier, Theresa, Vattai, Aurelia, Chelariu-Raicu, Anca, Jeschke, Udo, Trillsch, Fabian, Mahner, Sven, Kaltofen, Till
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731240/
https://www.ncbi.nlm.nih.gov/pubmed/33271935
http://dx.doi.org/10.3390/ijms21239169

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731240/
https://www.ncbi.nlm.nih.gov/pubmed/33271935
http://dx.doi.org/10.3390/ijms21239169

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